id	sid	tid	token	lemma	pos
cana-1459	1	1	communications	communication	NOUN
cana-1459	1	2	on	on	ADP
cana-1459	1	3	applied	apply	VERB
cana-1459	1	4	nonlinear	nonlinear	ADJ
cana-1459	1	5	analysis	analysis	NOUN
cana-1459	1	6	issn	issn	NOUN
cana-1459	1	7	:	:	PUNCT
cana-1459	1	8	1074	1074	NUM
cana-1459	1	9	-	-	PUNCT
cana-1459	1	10	133x	133x	NUM
cana-1459	1	11	vol	vol	NOUN
cana-1459	1	12	31	31	NUM
cana-1459	1	13	no	no	NOUN
cana-1459	1	14	.	.	PUNCT
cana-1459	2	1	8s	8s	PROPN
cana-1459	2	2	(	(	PUNCT
cana-1459	2	3	2024	2024	NUM
cana-1459	2	4	)	)	PUNCT
cana-1459	2	5	95	95	NUM
cana-1459	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	2	7	laplacian	laplacian	ADJ
cana-1459	2	8	kernel	kernel	PROPN
cana-1459	2	9	ruzicka	ruzicka	PROPN
cana-1459	2	10	indexive	indexive	ADJ
cana-1459	2	11	deep	deep	ADJ
cana-1459	2	12	multilayer	multilayer	ADJ
cana-1459	2	13	perceptive	perceptive	ADJ
cana-1459	2	14	network	network	NOUN
cana-1459	2	15	for	for	ADP
cana-1459	2	16	palm	palm	NOUN
cana-1459	2	17	prints	print	NOUN
cana-1459	2	18	detection	detection	NOUN
cana-1459	2	19	classification	classification	NOUN
cana-1459	2	20	1	1	NUM
cana-1459	2	21	mrs	mrs	PROPN
cana-1459	2	22	.	.	PROPN
cana-1459	2	23	n.	n.	PROPN
cana-1459	2	24	kohila	kohila	PROPN
cana-1459	2	25	and	and	CCONJ
cana-1459	2	26	2dr	2dr	ADJ
cana-1459	2	27	.	.	PUNCT
cana-1459	3	1	t.	t.	PROPN
cana-1459	3	2	ramprabha	ramprabha	PROPN
cana-1459	3	3	1research	1research	NUM
cana-1459	3	4	scholar	scholar	NOUN
cana-1459	3	5	,	,	PUNCT
cana-1459	3	6	pg	pg	PROPN
cana-1459	3	7	&	&	CCONJ
cana-1459	3	8	research	research	PROPN
cana-1459	3	9	dept	dept	PROPN
cana-1459	3	10	.	.	PUNCT
cana-1459	3	11	of	of	ADP
cana-1459	3	12	computer	computer	NOUN
cana-1459	3	13	science	science	NOUN
cana-1459	3	14	and	and	CCONJ
cana-1459	3	15	applications	application	NOUN
cana-1459	3	16	,	,	PUNCT
cana-1459	3	17	vivekanandha	vivekanandha	PROPN
cana-1459	3	18	college	college	NOUN
cana-1459	3	19	of	of	ADP
cana-1459	3	20	arts	art	NOUN
cana-1459	3	21	and	and	CCONJ
cana-1459	3	22	sciences	science	NOUN
cana-1459	3	23	for	for	ADP
cana-1459	3	24	women	woman	NOUN
cana-1459	3	25	(	(	PUNCT
cana-1459	3	26	a	a	X
cana-1459	3	27	)	)	PUNCT
cana-1459	3	28	,	,	PUNCT
cana-1459	3	29	tiruchengode	tiruchengode	NOUN
cana-1459	3	30	.	.	PUNCT
cana-1459	4	1	padmeeshraj@gmail.com	padmeeshraj@gmail.com	X
cana-1459	4	2	2	2	NUM
cana-1459	4	3	associate	associate	NOUN
cana-1459	4	4	professor	professor	NOUN
cana-1459	4	5	,	,	PUNCT
cana-1459	4	6	dept	dept	NOUN
cana-1459	4	7	.	.	PROPN
cana-1459	4	8	of	of	ADP
cana-1459	4	9	information	information	NOUN
cana-1459	4	10	technology	technology	NOUN
cana-1459	4	11	,	,	PUNCT
cana-1459	4	12	school	school	NOUN
cana-1459	4	13	of	of	ADP
cana-1459	4	14	computational	computational	ADJ
cana-1459	4	15	sciences	science	NOUN
cana-1459	4	16	,	,	PUNCT
cana-1459	4	17	nehru	nehru	NOUN
cana-1459	4	18	arts	arts	PROPN
cana-1459	4	19	and	and	CCONJ
cana-1459	4	20	science	science	PROPN
cana-1459	4	21	college	college	PROPN
cana-1459	4	22	,	,	PUNCT
cana-1459	4	23	coimbatore	coimbatore	PROPN
cana-1459	4	24	.	.	PUNCT
cana-1459	5	1	nascramapradhacs@nehrucolleges.com	nascramapradhacs@nehrucolleges.com	NOUN
cana-1459	5	2	article	article	NOUN
cana-1459	5	3	history	history	NOUN
cana-1459	5	4	:	:	PUNCT
cana-1459	5	5	received	receive	VERB
cana-1459	5	6	:	:	PUNCT
cana-1459	5	7	20	20	NUM
cana-1459	5	8	-	-	PUNCT
cana-1459	5	9	04	04	NUM
cana-1459	5	10	-	-	PUNCT
cana-1459	5	11	2024	2024	NUM
cana-1459	5	12	revised	revise	VERB
cana-1459	5	13	:	:	PUNCT
cana-1459	5	14	10	10	NUM
cana-1459	5	15	-	-	SYM
cana-1459	5	16	06	06	NUM
cana-1459	5	17	-	-	PUNCT
cana-1459	5	18	2024	2024	NUM
cana-1459	5	19	accepted	accept	VERB
cana-1459	5	20	:	:	PUNCT
cana-1459	5	21	24	24	NUM
cana-1459	5	22	-	-	PUNCT
cana-1459	5	23	06	06	NUM
cana-1459	5	24	-	-	PUNCT
cana-1459	5	25	2024	2024	NUM
cana-1459	5	26	abstract	abstract	NOUN
cana-1459	5	27	:	:	PUNCT
cana-1459	5	28	palmprint	palmprint	NOUN
cana-1459	5	29	is	be	AUX
cana-1459	5	30	a	a	DET
cana-1459	5	31	biometric	biometric	ADJ
cana-1459	5	32	technology	technology	NOUN
cana-1459	5	33	that	that	PRON
cana-1459	5	34	involves	involve	VERB
cana-1459	5	35	identifying	identify	VERB
cana-1459	5	36	individuals	individual	NOUN
cana-1459	5	37	based	base	VERB
cana-1459	5	38	on	on	ADP
cana-1459	5	39	the	the	DET
cana-1459	5	40	unique	unique	ADJ
cana-1459	5	41	patterns	pattern	NOUN
cana-1459	5	42	and	and	CCONJ
cana-1459	5	43	features	feature	NOUN
cana-1459	5	44	present	present	ADJ
cana-1459	5	45	in	in	ADP
cana-1459	5	46	their	their	PRON
cana-1459	5	47	palmprints	palmprint	NOUN
cana-1459	5	48	.	.	PUNCT
cana-1459	6	1	biometric	biometric	ADJ
cana-1459	6	2	technology	technology	NOUN
cana-1459	6	3	is	be	AUX
cana-1459	6	4	an	an	DET
cana-1459	6	5	important	important	ADJ
cana-1459	6	6	method	method	NOUN
cana-1459	6	7	to	to	PART
cana-1459	6	8	enhance	enhance	VERB
cana-1459	6	9	security	security	NOUN
cana-1459	6	10	and	and	CCONJ
cana-1459	6	11	access	access	NOUN
cana-1459	6	12	control	control	NOUN
cana-1459	6	13	through	through	ADP
cana-1459	6	14	automated	automate	VERB
cana-1459	6	15	personal	personal	ADJ
cana-1459	6	16	authentication	authentication	NOUN
cana-1459	6	17	.	.	PUNCT
cana-1459	7	1	biometric	biometric	ADJ
cana-1459	7	2	technologies	technology	NOUN
cana-1459	7	3	includes	include	VERB
cana-1459	7	4	various	various	ADJ
cana-1459	7	5	human	human	ADJ
cana-1459	7	6	traits	trait	NOUN
cana-1459	7	7	,	,	PUNCT
cana-1459	7	8	such	such	ADJ
cana-1459	7	9	as	as	ADP
cana-1459	7	10	dna	dna	NOUN
cana-1459	7	11	,	,	PUNCT
cana-1459	7	12	fingerprints	fingerprint	NOUN
cana-1459	7	13	,	,	PUNCT
cana-1459	7	14	faces	face	NOUN
cana-1459	7	15	,	,	PUNCT
cana-1459	7	16	iris	iris	NOUN
cana-1459	7	17	patterns	pattern	NOUN
cana-1459	7	18	,	,	PUNCT
cana-1459	7	19	palmprints	palmprints	PROPN
cana-1459	7	20	,	,	PUNCT
cana-1459	7	21	voice	voice	NOUN
cana-1459	7	22	,	,	PUNCT
cana-1459	7	23	signatures	signature	NOUN
cana-1459	7	24	,	,	PUNCT
cana-1459	7	25	and	and	CCONJ
cana-1459	7	26	more	more	ADJ
cana-1459	7	27	,	,	PUNCT
cana-1459	7	28	to	to	PART
cana-1459	7	29	perform	perform	VERB
cana-1459	7	30	personal	personal	ADJ
cana-1459	7	31	authentication	authentication	NOUN
cana-1459	7	32	.	.	PUNCT
cana-1459	8	1	among	among	ADP
cana-1459	8	2	these	these	DET
cana-1459	8	3	human	human	ADJ
cana-1459	8	4	traits	trait	NOUN
cana-1459	8	5	,	,	PUNCT
cana-1459	8	6	palmprint	palmprint	NOUN
cana-1459	8	7	is	be	AUX
cana-1459	8	8	an	an	DET
cana-1459	8	9	essential	essential	ADJ
cana-1459	8	10	biometric	biometric	ADJ
cana-1459	8	11	technology	technology	NOUN
cana-1459	8	12	,	,	PUNCT
cana-1459	8	13	attracting	attract	VERB
cana-1459	8	14	significant	significant	ADJ
cana-1459	8	15	attention	attention	NOUN
cana-1459	8	16	in	in	ADP
cana-1459	8	17	security	security	NOUN
cana-1459	8	18	systems	system	NOUN
cana-1459	8	19	.	.	PUNCT
cana-1459	9	1	several	several	ADJ
cana-1459	9	2	methods	method	NOUN
cana-1459	9	3	have	have	AUX
cana-1459	9	4	been	be	AUX
cana-1459	9	5	developed	develop	VERB
cana-1459	9	6	to	to	PART
cana-1459	9	7	achieve	achieve	VERB
cana-1459	9	8	high	high	ADJ
cana-1459	9	9	accuracy	accuracy	NOUN
cana-1459	9	10	in	in	ADP
cana-1459	9	11	palmprint	palmprint	NOUN
cana-1459	9	12	classification	classification	NOUN
cana-1459	9	13	.	.	PUNCT
cana-1459	10	1	however	however	ADV
cana-1459	10	2	,	,	PUNCT
cana-1459	10	3	challenges	challenge	NOUN
cana-1459	10	4	persist	persist	VERB
cana-1459	10	5	with	with	ADP
cana-1459	10	6	images	image	NOUN
cana-1459	10	7	containing	contain	VERB
cana-1459	10	8	a	a	DET
cana-1459	10	9	large	large	ADJ
cana-1459	10	10	number	number	NOUN
cana-1459	10	11	of	of	ADP
cana-1459	10	12	uncorrelated	uncorrelated	ADJ
cana-1459	10	13	and	and	CCONJ
cana-1459	10	14	redundant	redundant	ADJ
cana-1459	10	15	featuresto	featuresto	NOUN
cana-1459	10	16	increase	increase	NOUN
cana-1459	10	17	dimensionality	dimensionality	NOUN
cana-1459	10	18	,	,	PUNCT
cana-1459	10	19	complicate	complicate	VERB
cana-1459	10	20	time	time	NOUN
cana-1459	10	21	complexity	complexity	NOUN
cana-1459	10	22	,	,	PUNCT
cana-1459	10	23	and	and	CCONJ
cana-1459	10	24	reduce	reduce	VERB
cana-1459	10	25	the	the	DET
cana-1459	10	26	accuracy.a	accuracy.a	PUNCT
cana-1459	10	27	novel	novel	ADJ
cana-1459	10	28	method	method	NOUN
cana-1459	10	29	called	call	VERB
cana-1459	10	30	the	the	DET
cana-1459	10	31	laplacian	laplacian	ADJ
cana-1459	10	32	kernel	kernel	PROPN
cana-1459	10	33	ruzicka	ruzicka	PROPN
cana-1459	10	34	indexive	indexive	ADJ
cana-1459	10	35	deep	deep	ADJ
cana-1459	10	36	multilayer	multilayer	ADJ
cana-1459	10	37	perceptive	perceptive	ADJ
cana-1459	10	38	network	network	NOUN
cana-1459	10	39	(	(	PUNCT
cana-1459	10	40	lkridmpn	lkridmpn	PROPN
cana-1459	10	41	)	)	PUNCT
cana-1459	10	42	is	be	AUX
cana-1459	10	43	introduced	introduce	VERB
cana-1459	10	44	to	to	PART
cana-1459	10	45	enhance	enhance	VERB
cana-1459	10	46	the	the	DET
cana-1459	10	47	accuracy	accuracy	NOUN
cana-1459	10	48	of	of	ADP
cana-1459	10	49	palmprint	palmprint	NOUN
cana-1459	10	50	classification	classification	NOUN
cana-1459	10	51	.	.	PUNCT
cana-1459	11	1	the	the	DET
cana-1459	11	2	proposed	propose	VERB
cana-1459	11	3	palmprint	palmprint	NOUN
cana-1459	11	4	identification	identification	NOUN
cana-1459	11	5	system	system	NOUN
cana-1459	11	6	consists	consist	VERB
cana-1459	11	7	of	of	ADP
cana-1459	11	8	four	four	NUM
cana-1459	11	9	steps	step	NOUN
cana-1459	11	10	:	:	PUNCT
cana-1459	11	11	image	image	NOUN
cana-1459	11	12	acquisition	acquisition	NOUN
cana-1459	11	13	,	,	PUNCT
cana-1459	11	14	preprocessing	preprocessing	NOUN
cana-1459	11	15	,	,	PUNCT
cana-1459	11	16	feature	feature	NOUN
cana-1459	11	17	extraction	extraction	NOUN
cana-1459	11	18	,	,	PUNCT
cana-1459	11	19	and	and	CCONJ
cana-1459	11	20	classification.during	classification.dure	VERB
cana-1459	11	21	the	the	DET
cana-1459	11	22	image	image	NOUN
cana-1459	11	23	acquisition	acquisition	NOUN
cana-1459	11	24	step	step	NOUN
cana-1459	11	25	,	,	PUNCT
cana-1459	11	26	a	a	DET
cana-1459	11	27	collection	collection	NOUN
cana-1459	11	28	of	of	ADP
cana-1459	11	29	palm	palm	NOUN
cana-1459	11	30	images	image	NOUN
cana-1459	11	31	is	be	AUX
cana-1459	11	32	obtained	obtain	VERB
cana-1459	11	33	from	from	ADP
cana-1459	11	34	the	the	DET
cana-1459	11	35	image	image	NOUN
cana-1459	11	36	database	database	NOUN
cana-1459	11	37	.	.	PUNCT
cana-1459	12	1	subsequent	subsequent	ADJ
cana-1459	12	2	to	to	ADP
cana-1459	12	3	image	image	NOUN
cana-1459	12	4	acquisition	acquisition	NOUN
cana-1459	12	5	,	,	PUNCT
cana-1459	12	6	preprocessing	preprocessing	NOUN
cana-1459	12	7	is	be	AUX
cana-1459	12	8	conducted	conduct	VERB
cana-1459	12	9	to	to	PART
cana-1459	12	10	reduce	reduce	VERB
cana-1459	12	11	noise	noise	NOUN
cana-1459	12	12	and	and	CCONJ
cana-1459	12	13	enhance	enhance	VERB
cana-1459	12	14	image	image	NOUN
cana-1459	12	15	quality	quality	NOUN
cana-1459	12	16	,	,	PUNCT
cana-1459	12	17	thus	thus	ADV
cana-1459	12	18	ensuring	ensure	VERB
cana-1459	12	19	consistency	consistency	NOUN
cana-1459	12	20	among	among	ADP
cana-1459	12	21	the	the	DET
cana-1459	12	22	palm	palm	NOUN
cana-1459	12	23	images	image	NOUN
cana-1459	12	24	.	.	PUNCT
cana-1459	13	1	the	the	DET
cana-1459	13	2	laplacian	laplacian	ADJ
cana-1459	13	3	kernel	kernel	PROPN
cana-1459	13	4	gamma	gamma	PROPN
cana-1459	13	5	map	map	NOUN
cana-1459	13	6	filtering	filtering	NOUN
cana-1459	13	7	technique	technique	NOUN
cana-1459	13	8	is	be	AUX
cana-1459	13	9	employed	employ	VERB
cana-1459	13	10	to	to	PART
cana-1459	13	11	eliminate	eliminate	VERB
cana-1459	13	12	noise	noise	NOUN
cana-1459	13	13	artifacts	artifact	NOUN
cana-1459	13	14	from	from	ADP
cana-1459	13	15	the	the	DET
cana-1459	13	16	input	input	NOUN
cana-1459	13	17	palm	palm	NOUN
cana-1459	13	18	image	image	NOUN
cana-1459	13	19	while	while	SCONJ
cana-1459	13	20	enhancing	enhance	VERB
cana-1459	13	21	image	image	NOUN
cana-1459	13	22	contrast.in	contrast.in	PRON
cana-1459	13	23	the	the	DET
cana-1459	13	24	third	third	ADJ
cana-1459	13	25	step	step	NOUN
cana-1459	13	26	,	,	PUNCT
cana-1459	13	27	the	the	DET
cana-1459	13	28	feature	feature	NOUN
cana-1459	13	29	extraction	extraction	NOUN
cana-1459	13	30	process	process	NOUN
cana-1459	13	31	is	be	AUX
cana-1459	13	32	carried	carry	VERB
cana-1459	13	33	out	out	ADP
cana-1459	13	34	to	to	PART
cana-1459	13	35	minimize	minimize	VERB
cana-1459	13	36	the	the	DET
cana-1459	13	37	time	time	NOUN
cana-1459	13	38	complexity	complexity	NOUN
cana-1459	13	39	of	of	ADP
cana-1459	13	40	the	the	DET
cana-1459	13	41	classification	classification	NOUN
cana-1459	13	42	process	process	NOUN
cana-1459	13	43	.	.	PUNCT
cana-1459	14	1	firstly	firstly	ADV
cana-1459	14	2	,	,	PUNCT
cana-1459	14	3	the	the	DET
cana-1459	14	4	region	region	NOUN
cana-1459	14	5	of	of	ADP
cana-1459	14	6	interest	interest	NOUN
cana-1459	14	7	(	(	PUNCT
cana-1459	14	8	roi	roi	NOUN
cana-1459	14	9	)	)	PUNCT
cana-1459	14	10	is	be	AUX
cana-1459	14	11	extracted	extract	VERB
cana-1459	14	12	from	from	ADP
cana-1459	14	13	the	the	DET
cana-1459	14	14	preprocessed	preprocesse	VERB
cana-1459	14	15	images	image	NOUN
cana-1459	14	16	using	use	VERB
cana-1459	14	17	the	the	DET
cana-1459	14	18	ochiai	ochiai	ADJ
cana-1459	14	19	-	-	PUNCT
cana-1459	14	20	barkman	barkman	NOUN
cana-1459	14	21	segmented	segment	VERB
cana-1459	14	22	regression	regression	NOUN
cana-1459	14	23	method	method	NOUN
cana-1459	14	24	.	.	PUNCT
cana-1459	15	1	this	this	DET
cana-1459	15	2	method	method	NOUN
cana-1459	15	3	helps	help	VERB
cana-1459	15	4	in	in	ADP
cana-1459	15	5	identifying	identify	VERB
cana-1459	15	6	the	the	DET
cana-1459	15	7	specific	specific	ADJ
cana-1459	15	8	region	region	NOUN
cana-1459	15	9	within	within	ADP
cana-1459	15	10	the	the	DET
cana-1459	15	11	image	image	NOUN
cana-1459	15	12	that	that	PRON
cana-1459	15	13	is	be	AUX
cana-1459	15	14	crucial	crucial	ADJ
cana-1459	15	15	for	for	ADP
cana-1459	15	16	palmprint	palmprint	NOUN
cana-1459	15	17	recognition	recognition	NOUN
cana-1459	15	18	,	,	PUNCT
cana-1459	15	19	by	by	ADP
cana-1459	15	20	assessing	assess	VERB
cana-1459	15	21	pixel	pixel	PROPN
cana-1459	15	22	similarity	similarity	NOUN
cana-1459	15	23	.	.	PUNCT
cana-1459	16	1	subsequently	subsequently	ADV
cana-1459	16	2	,	,	PUNCT
cana-1459	16	3	a	a	DET
cana-1459	16	4	set	set	NOUN
cana-1459	16	5	of	of	ADP
cana-1459	16	6	geometric	geometric	ADJ
cana-1459	16	7	features	feature	NOUN
cana-1459	16	8	including	include	VERB
cana-1459	16	9	principal	principal	ADJ
cana-1459	16	10	lines	line	NOUN
cana-1459	16	11	,	,	PUNCT
cana-1459	16	12	wrinkles	wrinkle	NOUN
cana-1459	16	13	,	,	PUNCT
cana-1459	16	14	ridges	ridge	NOUN
cana-1459	16	15	,	,	PUNCT
cana-1459	16	16	minutiae	minutiae	NOUN
cana-1459	16	17	points	point	NOUN
cana-1459	16	18	,	,	PUNCT
cana-1459	16	19	singular	singular	ADJ
cana-1459	16	20	points	point	NOUN
cana-1459	16	21	,	,	PUNCT
cana-1459	16	22	and	and	CCONJ
cana-1459	16	23	texture	texture	NOUN
cana-1459	16	24	features	feature	NOUN
cana-1459	16	25	are	be	AUX
cana-1459	16	26	extracted	extract	VERB
cana-1459	16	27	through	through	ADP
cana-1459	16	28	the	the	DET
cana-1459	16	29	wavelet	wavelet	NOUN
cana-1459	16	30	packet	packet	NOUN
cana-1459	16	31	transform	transform	NOUN
cana-1459	16	32	.	.	PUNCT
cana-1459	17	1	these	these	DET
cana-1459	17	2	extracted	extract	VERB
cana-1459	17	3	features	feature	NOUN
cana-1459	17	4	are	be	AUX
cana-1459	17	5	then	then	ADV
cana-1459	17	6	fed	feed	VERB
cana-1459	17	7	into	into	ADP
cana-1459	17	8	the	the	DET
cana-1459	17	9	input	input	NOUN
cana-1459	17	10	layer	layer	NOUN
cana-1459	17	11	of	of	ADP
cana-1459	17	12	a	a	DET
cana-1459	17	13	deep	deep	ADJ
cana-1459	17	14	multilayer	multilayer	ADJ
cana-1459	17	15	perceptron	perceptron	PROPN
cana-1459	17	16	neural	neural	ADJ
cana-1459	17	17	network	network	NOUN
cana-1459	17	18	.	.	PUNCT
cana-1459	18	1	the	the	DET
cana-1459	18	2	ruzicka	ruzicka	PROPN
cana-1459	18	3	indexive	indexive	ADJ
cana-1459	18	4	pattern	pattern	NOUN
cana-1459	18	5	matching	matching	NOUN
cana-1459	18	6	technique	technique	NOUN
cana-1459	18	7	is	be	AUX
cana-1459	18	8	applied	apply	VERB
cana-1459	18	9	to	to	PART
cana-1459	18	10	analyze	analyze	VERB
cana-1459	18	11	the	the	DET
cana-1459	18	12	extracted	extract	VERB
cana-1459	18	13	features	feature	NOUN
cana-1459	18	14	with	with	ADP
cana-1459	18	15	the	the	DET
cana-1459	18	16	stored	store	VERB
cana-1459	18	17	templates	template	NOUN
cana-1459	18	18	.	.	PUNCT
cana-1459	19	1	the	the	DET
cana-1459	19	2	ruzicka	ruzicka	PROPN
cana-1459	19	3	index	index	NOUN
cana-1459	19	4	score	score	NOUN
cana-1459	19	5	is	be	AUX
cana-1459	19	6	utilized	utilize	VERB
cana-1459	19	7	as	as	ADP
cana-1459	19	8	a	a	DET
cana-1459	19	9	measure	measure	NOUN
cana-1459	19	10	of	of	ADP
cana-1459	19	11	similarity	similarity	NOUN
cana-1459	19	12	between	between	ADP
cana-1459	19	13	the	the	DET
cana-1459	19	14	template	template	NOUN
cana-1459	19	15	and	and	CCONJ
cana-1459	19	16	the	the	DET
cana-1459	19	17	extracted	extract	VERB
cana-1459	19	18	feature	feature	NOUN
cana-1459	19	19	vector	vector	NOUN
cana-1459	19	20	.	.	PUNCT
cana-1459	20	1	a	a	DET
cana-1459	20	2	higher	high	ADJ
cana-1459	20	3	matching	matching	NOUN
cana-1459	20	4	score	score	NOUN
cana-1459	20	5	indicates	indicate	VERB
cana-1459	20	6	a	a	DET
cana-1459	20	7	stronger	strong	ADJ
cana-1459	20	8	similarity	similarity	NOUN
cana-1459	20	9	.	.	PUNCT
cana-1459	21	1	classification	classification	NOUN
cana-1459	21	2	is	be	AUX
cana-1459	21	3	subsequently	subsequently	ADV
cana-1459	21	4	performed	perform	VERB
cana-1459	21	5	based	base	VERB
cana-1459	21	6	on	on	ADP
cana-1459	21	7	the	the	DET
cana-1459	21	8	matching	matching	NOUN
cana-1459	21	9	results	result	NOUN
cana-1459	21	10	,	,	PUNCT
cana-1459	21	11	leading	lead	VERB
cana-1459	21	12	to	to	ADP
cana-1459	21	13	the	the	DET
cana-1459	21	14	palmprint	palmprint	NOUN
cana-1459	21	15	recognition	recognition	NOUN
cana-1459	21	16	outcomes	outcome	NOUN
cana-1459	21	17	obtained	obtain	VERB
cana-1459	21	18	.	.	PUNCT
cana-1459	22	1	these	these	DET
cana-1459	22	2	results	result	NOUN
cana-1459	22	3	are	be	AUX
cana-1459	22	4	employed	employ	VERB
cana-1459	22	5	to	to	PART
cana-1459	22	6	determine	determine	VERB
cana-1459	22	7	the	the	DET
cana-1459	22	8	individual	individual	NOUN
cana-1459	22	9	's	's	PART
cana-1459	22	10	identity.lastly	identity.lastly	ADV
cana-1459	22	11	,	,	PUNCT
cana-1459	22	12	powell	powell	PROPN
cana-1459	22	13	's	's	PART
cana-1459	22	14	hybrid	hybrid	NOUN
cana-1459	22	15	method	method	NOUN
cana-1459	22	16	is	be	AUX
cana-1459	22	17	implemented	implement	VERB
cana-1459	22	18	to	to	PART
cana-1459	22	19	minimize	minimize	VERB
cana-1459	22	20	the	the	DET
cana-1459	22	21	least	least	ADJ
cana-1459	22	22	square	square	ADJ
cana-1459	22	23	error	error	NOUN
cana-1459	22	24	,	,	PUNCT
cana-1459	22	25	thereby	thereby	ADV
cana-1459	22	26	enhancing	enhance	VERB
cana-1459	22	27	the	the	DET
cana-1459	22	28	accuracy	accuracy	NOUN
cana-1459	22	29	of	of	ADP
cana-1459	22	30	palmprint	palmprint	NOUN
cana-1459	22	31	classification	classification	NOUN
cana-1459	22	32	at	at	ADP
cana-1459	22	33	the	the	DET
cana-1459	22	34	output	output	NOUN
cana-1459	22	35	layer.experimental	layer.experimental	ADJ
cana-1459	22	36	evaluation	evaluation	NOUN
cana-1459	22	37	is	be	AUX
cana-1459	22	38	carried	carry	VERB
cana-1459	22	39	out	out	ADP
cana-1459	22	40	on	on	ADP
cana-1459	22	41	factors	factor	NOUN
cana-1459	22	42	such	such	ADJ
cana-1459	22	43	as	as	ADP
cana-1459	22	44	peak	peak	NOUN
cana-1459	22	45	signal	signal	NOUN
cana-1459	22	46	-	-	PUNCT
cana-1459	22	47	to	to	ADP
cana-1459	22	48	-	-	PUNCT
cana-1459	22	49	noise	noise	NOUN
cana-1459	22	50	ratio	ratio	NOUN
cana-1459	22	51	,	,	PUNCT
cana-1459	22	52	palmprint	palmprint	VERB
cana-1459	22	53	detection	detection	NOUN
cana-1459	22	54	accuracy	accuracy	NOUN
cana-1459	22	55	,	,	PUNCT
cana-1459	22	56	error	error	NOUN
cana-1459	22	57	rate	rate	NOUN
cana-1459	22	58	and	and	CCONJ
cana-1459	22	59	computational	computational	ADJ
cana-1459	22	60	time	time	NOUN
cana-1459	22	61	with	with	ADP
cana-1459	22	62	respect	respect	NOUN
cana-1459	22	63	to	to	ADP
cana-1459	22	64	number	number	NOUN
cana-1459	22	65	of	of	ADP
cana-1459	22	66	communications	communication	NOUN
cana-1459	22	67	on	on	ADP
cana-1459	22	68	applied	apply	VERB
cana-1459	22	69	nonlinear	nonlinear	ADJ
cana-1459	22	70	analysis	analysis	NOUN
cana-1459	22	71	issn	issn	NOUN
cana-1459	22	72	:	:	PUNCT
cana-1459	22	73	1074	1074	NUM
cana-1459	22	74	-	-	PUNCT
cana-1459	22	75	133x	133x	NUM
cana-1459	22	76	vol	vol	NOUN
cana-1459	22	77	31	31	NUM
cana-1459	22	78	no	no	NOUN
cana-1459	22	79	.	.	PUNCT
cana-1459	23	1	8s	8s	PROPN
cana-1459	23	2	(	(	PUNCT
cana-1459	23	3	2024	2024	NUM
cana-1459	23	4	)	)	PUNCT
cana-1459	23	5	96	96	NUM
cana-1459	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	23	7	images	image	NOUN
cana-1459	23	8	and	and	CCONJ
cana-1459	23	9	image	image	NOUN
cana-1459	23	10	size	size	NOUN
cana-1459	23	11	.	.	PUNCT
cana-1459	24	1	keywords	keyword	NOUN
cana-1459	24	2	:	:	PUNCT
cana-1459	24	3	palm	palm	NOUN
cana-1459	24	4	print	print	NOUN
cana-1459	24	5	recognition	recognition	PROPN
cana-1459	24	6	,	,	PUNCT
cana-1459	24	7	laplacian	laplacian	ADJ
cana-1459	24	8	kernel	kernel	PROPN
cana-1459	24	9	gamma	gamma	PROPN
cana-1459	24	10	map	map	PROPN
cana-1459	24	11	filtering	filter	VERB
cana-1459	24	12	,	,	PUNCT
cana-1459	24	13	ochiaibarkman	ochiaibarkman	PROPN
cana-1459	24	14	segmented	segment	VERB
cana-1459	24	15	regression	regression	NOUN
cana-1459	24	16	,	,	PUNCT
cana-1459	24	17	wavelet	wavelet	NOUN
cana-1459	24	18	packet	packet	NOUN
cana-1459	24	19	transform	transform	NOUN
cana-1459	24	20	,	,	PUNCT
cana-1459	24	21	deep	deep	ADJ
cana-1459	24	22	multilayer	multilayer	ADJ
cana-1459	24	23	perceptive	perceptive	ADJ
cana-1459	24	24	neural	neural	ADJ
cana-1459	24	25	network	network	NOUN
cana-1459	24	26	,	,	PUNCT
cana-1459	24	27	ruzicka	ruzicka	NOUN
cana-1459	24	28	indexive	indexive	ADJ
cana-1459	24	29	pattern	pattern	NOUN
cana-1459	24	30	matching	matching	NOUN
cana-1459	24	31	,	,	PUNCT
cana-1459	24	32	powell	powell	PROPN
cana-1459	24	33	's	's	PART
cana-1459	24	34	hybrid	hybrid	ADJ
cana-1459	24	35	method	method	NOUN
cana-1459	24	36	1	1	NUM
cana-1459	24	37	.	.	PUNCT
cana-1459	25	1	introduction	introduction	NOUN
cana-1459	25	2	biometrics	biometric	NOUN
cana-1459	25	3	is	be	AUX
cana-1459	25	4	a	a	DET
cana-1459	25	5	useful	useful	ADJ
cana-1459	25	6	technology	technology	NOUN
cana-1459	25	7	that	that	PRON
cana-1459	25	8	uses	use	VERB
cana-1459	25	9	physiological	physiological	ADJ
cana-1459	25	10	or	or	CCONJ
cana-1459	25	11	behavioural	behavioural	ADJ
cana-1459	25	12	characteristics	characteristic	NOUN
cana-1459	25	13	of	of	ADP
cana-1459	25	14	humans	human	NOUN
cana-1459	25	15	to	to	PART
cana-1459	25	16	authenticate	authenticate	VERB
cana-1459	25	17	users	user	NOUN
cana-1459	25	18	.	.	PUNCT
cana-1459	26	1	palmprint	palmprint	PROPN
cana-1459	26	2	recognition	recognition	NOUN
cana-1459	26	3	is	be	AUX
cana-1459	26	4	one	one	NUM
cana-1459	26	5	of	of	ADP
cana-1459	26	6	the	the	DET
cana-1459	26	7	main	main	ADJ
cana-1459	26	8	distinctive	distinctive	ADJ
cana-1459	26	9	biometric	biometric	ADJ
cana-1459	26	10	technologies	technology	NOUN
cana-1459	26	11	because	because	SCONJ
cana-1459	26	12	of	of	ADP
cana-1459	26	13	its	its	PRON
cana-1459	26	14	abundance	abundance	NOUN
cana-1459	26	15	of	of	ADP
cana-1459	26	16	features	feature	NOUN
cana-1459	26	17	and	and	CCONJ
cana-1459	26	18	relative	relative	ADJ
cana-1459	26	19	stability	stability	NOUN
cana-1459	26	20	.	.	PUNCT
cana-1459	27	1	in	in	ADP
cana-1459	27	2	security	security	NOUN
cana-1459	27	3	,	,	PUNCT
cana-1459	27	4	especially	especially	ADV
cana-1459	27	5	in	in	ADP
cana-1459	27	6	verification	verification	NOUN
cana-1459	27	7	,	,	PUNCT
cana-1459	27	8	a	a	DET
cana-1459	27	9	multitude	multitude	NOUN
cana-1459	27	10	of	of	ADP
cana-1459	27	11	palmprint	palmprint	NOUN
cana-1459	27	12	recognition	recognition	NOUN
cana-1459	27	13	techniques	technique	NOUN
cana-1459	27	14	have	have	AUX
cana-1459	27	15	been	be	AUX
cana-1459	27	16	developed	develop	VERB
cana-1459	27	17	and	and	CCONJ
cana-1459	27	18	implemented	implement	VERB
cana-1459	27	19	.	.	PUNCT
cana-1459	28	1	still	still	ADV
cana-1459	28	2	,	,	PUNCT
cana-1459	28	3	improving	improve	VERB
cana-1459	28	4	palmprint	palmprint	NOUN
cana-1459	28	5	identification	identification	NOUN
cana-1459	28	6	ability	ability	NOUN
cana-1459	28	7	from	from	ADP
cana-1459	28	8	small	small	ADJ
cana-1459	28	9	training	training	NOUN
cana-1459	28	10	sets	set	NOUN
cana-1459	28	11	of	of	ADP
cana-1459	28	12	fingerprints	fingerprint	NOUN
cana-1459	28	13	is	be	AUX
cana-1459	28	14	a	a	DET
cana-1459	28	15	difficult	difficult	ADJ
cana-1459	28	16	undertaking	undertaking	NOUN
cana-1459	28	17	.	.	PUNCT
cana-1459	29	1	in	in	ADP
cana-1459	29	2	[	[	X
cana-1459	29	3	1	1	NUM
cana-1459	29	4	]	]	PUNCT
cana-1459	29	5	,	,	PUNCT
cana-1459	29	6	a	a	DET
cana-1459	29	7	framework	framework	NOUN
cana-1459	29	8	for	for	ADP
cana-1459	29	9	joint	joint	ADJ
cana-1459	29	10	constrained	constrain	VERB
cana-1459	29	11	least	least	ADJ
cana-1459	29	12	-	-	PUNCT
cana-1459	29	13	square	square	NOUN
cana-1459	29	14	regression	regression	NOUN
cana-1459	29	15	(	(	PUNCT
cana-1459	29	16	jclsr	jclsr	PROPN
cana-1459	29	17	)	)	PUNCT
cana-1459	29	18	was	be	AUX
cana-1459	29	19	created	create	VERB
cana-1459	29	20	.	.	PUNCT
cana-1459	30	1	in	in	ADP
cana-1459	30	2	[	[	X
cana-1459	30	3	1	1	NUM
cana-1459	30	4	]	]	PUNCT
cana-1459	30	5	,	,	PUNCT
cana-1459	30	6	a	a	DET
cana-1459	30	7	joint	joint	ADJ
cana-1459	30	8	constrained	constrain	VERB
cana-1459	30	9	least	least	ADJ
cana-1459	30	10	-	-	PUNCT
cana-1459	30	11	square	square	NOUN
cana-1459	30	12	regression	regression	NOUN
cana-1459	30	13	(	(	PUNCT
cana-1459	30	14	jclsr	jclsr	PROPN
cana-1459	30	15	)	)	PUNCT
cana-1459	30	16	framework	framework	NOUN
cana-1459	30	17	for	for	ADP
cana-1459	30	18	palmprint	palmprint	NOUN
cana-1459	30	19	detection	detection	NOUN
cana-1459	30	20	using	use	VERB
cana-1459	30	21	deep	deep	ADJ
cana-1459	30	22	convolutional	convolutional	ADJ
cana-1459	30	23	neural	neural	ADJ
cana-1459	30	24	networks	network	NOUN
cana-1459	30	25	(	(	PUNCT
cana-1459	30	26	dcnn	dcnn	PROPN
cana-1459	30	27	)	)	PUNCT
cana-1459	30	28	was	be	AUX
cana-1459	30	29	created	create	VERB
cana-1459	30	30	.	.	PUNCT
cana-1459	31	1	the	the	DET
cana-1459	31	2	purpose	purpose	NOUN
cana-1459	31	3	of	of	ADP
cana-1459	31	4	this	this	DET
cana-1459	31	5	framework	framework	NOUN
cana-1459	31	6	was	be	AUX
cana-1459	31	7	to	to	PART
cana-1459	31	8	improve	improve	VERB
cana-1459	31	9	palmprint	palmprint	NOUN
cana-1459	31	10	recognition	recognition	NOUN
cana-1459	31	11	accuracy	accuracy	NOUN
cana-1459	31	12	.	.	PUNCT
cana-1459	32	1	nevertheless	nevertheless	ADV
cana-1459	32	2	,	,	PUNCT
cana-1459	32	3	the	the	DET
cana-1459	32	4	time	time	NOUN
cana-1459	32	5	consumption	consumption	NOUN
cana-1459	32	6	performance	performance	NOUN
cana-1459	32	7	was	be	AUX
cana-1459	32	8	not	not	PART
cana-1459	32	9	substantially	substantially	ADV
cana-1459	32	10	reduced	reduce	VERB
cana-1459	32	11	by	by	ADP
cana-1459	32	12	it	it	PRON
cana-1459	32	13	.	.	PUNCT
cana-1459	33	1	in	in	ADP
cana-1459	33	2	order	order	NOUN
cana-1459	33	3	to	to	PART
cana-1459	33	4	recognise	recognise	VERB
cana-1459	33	5	multispectral	multispectral	ADJ
cana-1459	33	6	and	and	CCONJ
cana-1459	33	7	contactless	contactless	ADJ
cana-1459	33	8	palmprint	palmprint	NOUN
cana-1459	33	9	images	image	NOUN
cana-1459	33	10	,	,	PUNCT
cana-1459	33	11	a	a	DET
cana-1459	33	12	streamlined	streamlined	ADJ
cana-1459	33	13	version	version	NOUN
cana-1459	33	14	of	of	ADP
cana-1459	33	15	the	the	DET
cana-1459	33	16	palmnet	palmnet	ADJ
cana-1459	33	17	-	-	PUNCT
cana-1459	33	18	gabor	gabor	NOUN
cana-1459	33	19	technique	technique	NOUN
cana-1459	33	20	was	be	AUX
cana-1459	33	21	presented	present	VERB
cana-1459	33	22	in	in	ADP
cana-1459	33	23	[	[	X
cana-1459	33	24	2	2	NUM
cana-1459	33	25	]	]	PUNCT
cana-1459	33	26	.	.	PUNCT
cana-1459	34	1	the	the	DET
cana-1459	34	2	log	log	NOUN
cana-1459	34	3	-	-	PUNCT
cana-1459	34	4	gabor	gabor	NOUN
cana-1459	34	5	filtering	filtering	NOUN
cana-1459	34	6	approach	approach	NOUN
cana-1459	34	7	was	be	AUX
cana-1459	34	8	used	use	VERB
cana-1459	34	9	in	in	ADP
cana-1459	34	10	the	the	DET
cana-1459	34	11	preprocessing	preprocessing	NOUN
cana-1459	34	12	stage	stage	NOUN
cana-1459	34	13	to	to	PART
cana-1459	34	14	improve	improve	VERB
cana-1459	34	15	the	the	DET
cana-1459	34	16	contrast	contrast	NOUN
cana-1459	34	17	of	of	ADP
cana-1459	34	18	the	the	DET
cana-1459	34	19	features	feature	NOUN
cana-1459	34	20	found	find	VERB
cana-1459	34	21	on	on	ADP
cana-1459	34	22	the	the	DET
cana-1459	34	23	palmprint	palmprint	NOUN
cana-1459	34	24	.	.	PUNCT
cana-1459	35	1	nevertheless	nevertheless	ADV
cana-1459	35	2	,	,	PUNCT
cana-1459	35	3	it	it	PRON
cana-1459	35	4	did	do	AUX
cana-1459	35	5	not	not	PART
cana-1459	35	6	use	use	VERB
cana-1459	35	7	the	the	DET
cana-1459	35	8	extensive	extensive	ADJ
cana-1459	35	9	databases	database	NOUN
cana-1459	35	10	for	for	ADP
cana-1459	35	11	palmprint	palmprint	NOUN
cana-1459	35	12	identification	identification	NOUN
cana-1459	35	13	.	.	PUNCT
cana-1459	36	1	in	in	ADP
cana-1459	36	2	[	[	X
cana-1459	36	3	3	3	NUM
cana-1459	36	4	]	]	PUNCT
cana-1459	36	5	,	,	PUNCT
cana-1459	36	6	an	an	DET
cana-1459	36	7	algorithm	algorithm	NOUN
cana-1459	36	8	for	for	ADP
cana-1459	36	9	recognising	recognise	VERB
cana-1459	36	10	palm	palm	NOUN
cana-1459	36	11	prints	print	NOUN
cana-1459	36	12	and	and	CCONJ
cana-1459	36	13	palm	palm	NOUN
cana-1459	36	14	veins	vein	NOUN
cana-1459	36	15	was	be	AUX
cana-1459	36	16	created	create	VERB
cana-1459	36	17	using	use	VERB
cana-1459	36	18	a	a	DET
cana-1459	36	19	principal	principal	ADJ
cana-1459	36	20	component	component	NOUN
cana-1459	36	21	analysis	analysis	NOUN
cana-1459	36	22	(	(	PUNCT
cana-1459	36	23	pca	pca	NOUN
cana-1459	36	24	)	)	PUNCT
cana-1459	36	25	network	network	NOUN
cana-1459	36	26	.	.	PUNCT
cana-1459	37	1	yet	yet	ADV
cana-1459	37	2	,	,	PUNCT
cana-1459	37	3	the	the	DET
cana-1459	37	4	peak	peak	NOUN
cana-1459	37	5	signal	signal	NOUN
cana-1459	37	6	-	-	PUNCT
cana-1459	37	7	to	to	ADP
cana-1459	37	8	-	-	PUNCT
cana-1459	37	9	noise	noise	NOUN
cana-1459	37	10	ratio	ratio	NOUN
cana-1459	37	11	was	be	AUX
cana-1459	37	12	not	not	PART
cana-1459	37	13	improved	improve	VERB
cana-1459	37	14	by	by	ADP
cana-1459	37	15	the	the	DET
cana-1459	37	16	intended	intend	VERB
cana-1459	37	17	approach	approach	NOUN
cana-1459	37	18	.	.	PUNCT
cana-1459	38	1	in	in	ADP
cana-1459	38	2	order	order	NOUN
cana-1459	38	3	to	to	PART
cana-1459	38	4	achieve	achieve	VERB
cana-1459	38	5	strong	strong	ADJ
cana-1459	38	6	palmprint	palmprint	NOUN
cana-1459	38	7	identification	identification	NOUN
cana-1459	38	8	,	,	PUNCT
cana-1459	38	9	a	a	DET
cana-1459	38	10	deep	deep	ADJ
cana-1459	38	11	learning	learning	NOUN
cana-1459	38	12	algorithm	algorithm	NOUN
cana-1459	38	13	was	be	AUX
cana-1459	38	14	implemented	implement	VERB
cana-1459	38	15	in	in	ADP
cana-1459	38	16	[	[	X
cana-1459	38	17	4	4	NUM
cana-1459	38	18	]	]	PUNCT
cana-1459	38	19	.	.	PUNCT
cana-1459	39	1	nevertheless	nevertheless	ADV
cana-1459	39	2	,	,	PUNCT
cana-1459	39	3	a	a	DET
cana-1459	39	4	higher	high	ADJ
cana-1459	39	5	degree	degree	NOUN
cana-1459	39	6	of	of	ADP
cana-1459	39	7	palmprint	palmprint	NOUN
cana-1459	39	8	identification	identification	NOUN
cana-1459	39	9	accuracy	accuracy	NOUN
cana-1459	39	10	was	be	AUX
cana-1459	39	11	not	not	PART
cana-1459	39	12	achieved	achieve	VERB
cana-1459	39	13	by	by	ADP
cana-1459	39	14	the	the	DET
cana-1459	39	15	designed	design	VERB
cana-1459	39	16	method	method	NOUN
cana-1459	39	17	.	.	PUNCT
cana-1459	40	1	for	for	ADP
cana-1459	40	2	the	the	DET
cana-1459	40	3	purpose	purpose	NOUN
cana-1459	40	4	of	of	ADP
cana-1459	40	5	automatically	automatically	ADV
cana-1459	40	6	extracting	extract	VERB
cana-1459	40	7	features	feature	NOUN
cana-1459	40	8	from	from	ADP
cana-1459	40	9	palmprint	palmprint	NOUN
cana-1459	40	10	photos	photo	NOUN
cana-1459	40	11	for	for	ADP
cana-1459	40	12	person	person	NOUN
cana-1459	40	13	recognition	recognition	NOUN
cana-1459	40	14	,	,	PUNCT
cana-1459	40	15	the	the	DET
cana-1459	40	16	convolutional	convolutional	ADJ
cana-1459	40	17	neural	neural	ADJ
cana-1459	40	18	network	network	NOUN
cana-1459	40	19	(	(	PUNCT
cana-1459	40	20	cnn	cnn	PROPN
cana-1459	40	21	)	)	PUNCT
cana-1459	40	22	was	be	AUX
cana-1459	40	23	created	create	VERB
cana-1459	40	24	in	in	ADP
cana-1459	40	25	[	[	X
cana-1459	40	26	5	5	NUM
cana-1459	40	27	]	]	PUNCT
cana-1459	40	28	.	.	PUNCT
cana-1459	41	1	to	to	PART
cana-1459	41	2	improve	improve	VERB
cana-1459	41	3	the	the	DET
cana-1459	41	4	recognition	recognition	NOUN
cana-1459	41	5	process	process	NOUN
cana-1459	41	6	'	'	PART
cana-1459	41	7	accuracy	accuracy	NOUN
cana-1459	41	8	,	,	PUNCT
cana-1459	41	9	the	the	DET
cana-1459	41	10	model	model	NOUN
cana-1459	41	11	did	do	AUX
cana-1459	41	12	not	not	PART
cana-1459	41	13	,	,	PUNCT
cana-1459	41	14	however	however	ADV
cana-1459	41	15	,	,	PUNCT
cana-1459	41	16	take	take	VERB
cana-1459	41	17	into	into	ADP
cana-1459	41	18	account	account	NOUN
cana-1459	41	19	the	the	DET
cana-1459	41	20	filtering	filter	VERB
cana-1459	41	21	idea	idea	NOUN
cana-1459	41	22	for	for	ADP
cana-1459	41	23	picture	picture	NOUN
cana-1459	41	24	denoising	denoise	VERB
cana-1459	41	25	.	.	PUNCT
cana-1459	42	1	a	a	DET
cana-1459	42	2	robust	robust	ADJ
cana-1459	42	3	feature	feature	NOUN
cana-1459	42	4	fusion	fusion	NOUN
cana-1459	42	5	method	method	NOUN
cana-1459	42	6	was	be	AUX
cana-1459	42	7	developed	develop	VERB
cana-1459	42	8	in	in	ADP
cana-1459	42	9	[	[	X
cana-1459	42	10	6	6	NUM
cana-1459	42	11	]	]	PUNCT
cana-1459	42	12	for	for	ADP
cana-1459	42	13	supervised	supervised	ADJ
cana-1459	42	14	palmprint	palmprint	NOUN
cana-1459	42	15	detection	detection	NOUN
cana-1459	42	16	.	.	PUNCT
cana-1459	43	1	the	the	DET
cana-1459	43	2	approach	approach	NOUN
cana-1459	43	3	involved	involve	VERB
cana-1459	43	4	extracting	extract	VERB
cana-1459	43	5	robust	robust	ADJ
cana-1459	43	6	morphological	morphological	ADJ
cana-1459	43	7	features	feature	NOUN
cana-1459	43	8	using	use	VERB
cana-1459	43	9	principal	principal	ADJ
cana-1459	43	10	component	component	NOUN
cana-1459	43	11	analysis	analysis	NOUN
cana-1459	43	12	(	(	PUNCT
cana-1459	43	13	pca	pca	NOUN
cana-1459	43	14	)	)	PUNCT
cana-1459	43	15	.	.	PUNCT
cana-1459	44	1	however	however	ADV
cana-1459	44	2	,	,	PUNCT
cana-1459	44	3	the	the	DET
cana-1459	44	4	designed	design	VERB
cana-1459	44	5	model	model	NOUN
cana-1459	44	6	proved	prove	VERB
cana-1459	44	7	ineffective	ineffective	ADJ
cana-1459	44	8	in	in	ADP
cana-1459	44	9	significantly	significantly	ADV
cana-1459	44	10	reducing	reduce	VERB
cana-1459	44	11	the	the	DET
cana-1459	44	12	time	time	NOUN
cana-1459	44	13	required	require	VERB
cana-1459	44	14	for	for	ADP
cana-1459	44	15	palmprint	palmprint	NOUN
cana-1459	44	16	detection	detection	NOUN
cana-1459	44	17	.	.	PUNCT
cana-1459	45	1	a	a	DET
cana-1459	45	2	generalizable	generalizable	ADJ
cana-1459	45	3	deep	deep	ADJ
cana-1459	45	4	learning	learning	NOUN
cana-1459	45	5	-	-	PUNCT
cana-1459	45	6	based	base	VERB
cana-1459	45	7	framework	framework	NOUN
cana-1459	45	8	was	be	AUX
cana-1459	45	9	designed	design	VERB
cana-1459	45	10	in	in	ADP
cana-1459	45	11	[	[	X
cana-1459	45	12	7	7	NUM
cana-1459	45	13	]	]	PUNCT
cana-1459	45	14	for	for	ADP
cana-1459	45	15	recognizing	recognize	VERB
cana-1459	45	16	the	the	DET
cana-1459	45	17	contactless	contactless	PROPN
cana-1459	45	18	palmprint	palmprint	NOUN
cana-1459	45	19	based	base	VERB
cana-1459	45	20	on	on	ADP
cana-1459	45	21	deeply	deeply	ADV
cana-1459	45	22	learned	learn	VERB
cana-1459	45	23	residual	residual	ADJ
cana-1459	45	24	features.however	features.however	NOUN
cana-1459	45	25	,	,	PUNCT
cana-1459	45	26	the	the	DET
cana-1459	45	27	context	context	NOUN
cana-1459	45	28	of	of	ADP
cana-1459	45	29	large	large	ADJ
cana-1459	45	30	-	-	PUNCT
cana-1459	45	31	scale	scale	NOUN
cana-1459	45	32	contactless	contactless	NOUN
cana-1459	45	33	palmprint	palmprint	NOUN
cana-1459	45	34	detection	detection	NOUN
cana-1459	45	35	and	and	CCONJ
cana-1459	45	36	identification	identification	NOUN
cana-1459	45	37	was	be	AUX
cana-1459	45	38	not	not	PART
cana-1459	45	39	evaluated	evaluate	VERB
cana-1459	45	40	.	.	PUNCT
cana-1459	46	1	a	a	DET
cana-1459	46	2	new	new	ADJ
cana-1459	46	3	regularized	regularize	VERB
cana-1459	46	4	adversarial	adversarial	ADJ
cana-1459	46	5	domain	domain	NOUN
cana-1459	46	6	adaptative	adaptative	ADJ
cana-1459	46	7	hashing	hashing	NOUN
cana-1459	46	8	(	(	PUNCT
cana-1459	46	9	r	r	NOUN
cana-1459	46	10	-	-	PUNCT
cana-1459	46	11	adah	adah	NOUN
cana-1459	46	12	)	)	PUNCT
cana-1459	46	13	technique	technique	NOUN
cana-1459	46	14	was	be	AUX
cana-1459	46	15	designed	design	VERB
cana-1459	46	16	in	in	ADP
cana-1459	46	17	[	[	X
cana-1459	46	18	8	8	NUM
cana-1459	46	19	]	]	PUNCT
cana-1459	46	20	for	for	ADP
cana-1459	46	21	cross	cross	ADJ
cana-1459	46	22	-	-	ADJ
cana-1459	46	23	domain	domain	ADJ
cana-1459	46	24	palmprint	palmprint	NOUN
cana-1459	46	25	recognition	recognition	NOUN
cana-1459	46	26	.	.	PUNCT
cana-1459	47	1	however	however	ADV
cana-1459	47	2	,	,	PUNCT
cana-1459	47	3	it	it	PRON
cana-1459	47	4	did	do	AUX
cana-1459	47	5	not	not	PART
cana-1459	47	6	succeed	succeed	VERB
cana-1459	47	7	in	in	ADP
cana-1459	47	8	enhancing	enhance	VERB
cana-1459	47	9	the	the	DET
cana-1459	47	10	verification	verification	NOUN
cana-1459	47	11	performance	performance	NOUN
cana-1459	47	12	.	.	PUNCT
cana-1459	48	1	[	[	X
cana-1459	48	2	9	9	NUM
cana-1459	48	3	]	]	PUNCT
cana-1459	48	4	created	create	VERB
cana-1459	48	5	a	a	DET
cana-1459	48	6	learning	learning	NOUN
cana-1459	48	7	complete	complete	ADJ
cana-1459	48	8	and	and	CCONJ
cana-1459	48	9	discriminative	discriminative	NOUN
cana-1459	48	10	direction	direction	NOUN
cana-1459	48	11	pattern	pattern	NOUN
cana-1459	48	12	(	(	PUNCT
cana-1459	48	13	lcddp).this	lcddp).this	NOUN
cana-1459	48	14	technique	technique	NOUN
cana-1459	48	15	involved	involve	VERB
cana-1459	48	16	the	the	DET
cana-1459	48	17	utilization	utilization	NOUN
cana-1459	48	18	of	of	ADP
cana-1459	48	19	local	local	ADJ
cana-1459	48	20	direction	direction	NOUN
cana-1459	48	21	features	feature	NOUN
cana-1459	48	22	extracted	extract	VERB
cana-1459	48	23	from	from	ADP
cana-1459	48	24	palmprint	palmprint	NOUN
cana-1459	48	25	images	image	NOUN
cana-1459	48	26	.	.	PUNCT
cana-1459	49	1	however	however	ADV
cana-1459	49	2	,	,	PUNCT
cana-1459	49	3	it	it	PRON
cana-1459	49	4	failed	fail	VERB
cana-1459	49	5	to	to	PART
cana-1459	49	6	discover	discover	VERB
cana-1459	49	7	the	the	DET
cana-1459	49	8	more	more	ADV
cana-1459	49	9	biometric	biometric	ADJ
cana-1459	49	10	recognition	recognition	NOUN
cana-1459	49	11	applications	application	NOUN
cana-1459	49	12	.	.	PUNCT
cana-1459	50	1	a	a	DET
cana-1459	50	2	novel	novel	ADJ
cana-1459	50	3	palmprint	palmprint	NOUN
cana-1459	50	4	communications	communication	NOUN
cana-1459	50	5	on	on	ADP
cana-1459	50	6	applied	apply	VERB
cana-1459	50	7	nonlinear	nonlinear	ADJ
cana-1459	50	8	analysis	analysis	NOUN
cana-1459	50	9	issn	issn	NOUN
cana-1459	50	10	:	:	PUNCT
cana-1459	50	11	1074	1074	NUM
cana-1459	50	12	-	-	PUNCT
cana-1459	50	13	133x	133x	NUM
cana-1459	50	14	vol	vol	NOUN
cana-1459	50	15	31	31	NUM
cana-1459	50	16	no	no	NOUN
cana-1459	50	17	.	.	PUNCT
cana-1459	51	1	8s	8s	PROPN
cana-1459	51	2	(	(	PUNCT
cana-1459	51	3	2024	2024	NUM
cana-1459	51	4	)	)	PUNCT
cana-1459	51	5	97	97	NUM
cana-1459	51	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	51	7	identification	identification	NOUN
cana-1459	51	8	algorithm	algorithm	NOUN
cana-1459	51	9	was	be	AUX
cana-1459	51	10	developed	develop	VERB
cana-1459	51	11	in	in	ADP
cana-1459	51	12	[	[	X
cana-1459	51	13	10	10	NUM
cana-1459	51	14	]	]	PUNCT
cana-1459	51	15	aiming	aim	VERB
cana-1459	51	16	to	to	PART
cana-1459	51	17	achieve	achieve	VERB
cana-1459	51	18	low	low	ADJ
cana-1459	51	19	computational	computational	ADJ
cana-1459	51	20	complexity	complexity	NOUN
cana-1459	51	21	through	through	ADP
cana-1459	51	22	the	the	DET
cana-1459	51	23	implementation	implementation	NOUN
cana-1459	51	24	of	of	ADP
cana-1459	51	25	convolutional	convolutional	ADJ
cana-1459	51	26	sparse	sparse	ADJ
cana-1459	51	27	coding	code	VERB
cana-1459	51	28	(	(	PUNCT
cana-1459	51	29	csc	csc	PROPN
cana-1459	51	30	)	)	PUNCT
cana-1459	51	31	.	.	PUNCT
cana-1459	52	1	however	however	ADV
cana-1459	52	2	,	,	PUNCT
cana-1459	52	3	it	it	PRON
cana-1459	52	4	did	do	AUX
cana-1459	52	5	not	not	PART
cana-1459	52	6	focus	focus	VERB
cana-1459	52	7	on	on	ADP
cana-1459	52	8	improving	improve	VERB
cana-1459	52	9	the	the	DET
cana-1459	52	10	accuracy	accuracy	NOUN
cana-1459	52	11	of	of	ADP
cana-1459	52	12	palmprint	palmprint	NOUN
cana-1459	52	13	identification	identification	NOUN
cana-1459	52	14	.	.	PUNCT
cana-1459	53	1	1.1	1.1	NUM
cana-1459	53	2	paper	paper	NOUN
cana-1459	53	3	contributions	contribution	NOUN
cana-1459	53	4	the	the	DET
cana-1459	53	5	major	major	ADJ
cana-1459	53	6	contributions	contribution	NOUN
cana-1459	53	7	of	of	ADP
cana-1459	53	8	this	this	DET
cana-1459	53	9	paper	paper	NOUN
cana-1459	53	10	are	be	AUX
cana-1459	53	11	summarized	summarize	VERB
cana-1459	53	12	as	as	ADP
cana-1459	53	13	given	give	VERB
cana-1459	53	14	below	below	ADV
cana-1459	53	15	,	,	PUNCT
cana-1459	53	16	➢	➢	VERB
cana-1459	53	17	pre	pre	ADJ
cana-1459	53	18	-	-	ADJ
cana-1459	53	19	processing	processing	ADJ
cana-1459	53	20	,	,	PUNCT
cana-1459	53	21	feature	feature	NOUN
cana-1459	53	22	extraction	extraction	NOUN
cana-1459	53	23	,	,	PUNCT
cana-1459	53	24	and	and	CCONJ
cana-1459	53	25	classification	classification	NOUN
cana-1459	53	26	are	be	AUX
cana-1459	53	27	just	just	ADV
cana-1459	53	28	a	a	DET
cana-1459	53	29	few	few	ADJ
cana-1459	53	30	of	of	ADP
cana-1459	53	31	the	the	DET
cana-1459	53	32	steps	step	NOUN
cana-1459	53	33	that	that	PRON
cana-1459	53	34	have	have	AUX
cana-1459	53	35	been	be	AUX
cana-1459	53	36	incorporated	incorporate	VERB
cana-1459	53	37	into	into	ADP
cana-1459	53	38	a	a	DET
cana-1459	53	39	lkridmpn	lkridmpn	NOUN
cana-1459	53	40	approach	approach	NOUN
cana-1459	53	41	to	to	PART
cana-1459	53	42	improve	improve	VERB
cana-1459	53	43	palmprint	palmprint	NOUN
cana-1459	53	44	detection	detection	NOUN
cana-1459	53	45	accuracy	accuracy	NOUN
cana-1459	53	46	.	.	PUNCT
cana-1459	54	1	➢	➢	VERB
cana-1459	54	2	the	the	DET
cana-1459	54	3	laplacian	laplacian	ADJ
cana-1459	54	4	kernel	kernel	PROPN
cana-1459	54	5	gamma	gamma	PROPN
cana-1459	54	6	map	map	NOUN
cana-1459	54	7	filtering	filtering	NOUN
cana-1459	54	8	technique	technique	NOUN
cana-1459	54	9	is	be	AUX
cana-1459	54	10	integrated	integrate	VERB
cana-1459	54	11	into	into	ADP
cana-1459	54	12	the	the	DET
cana-1459	54	13	lkridmpn	lkridmpn	NOUN
cana-1459	54	14	approach	approach	NOUN
cana-1459	54	15	for	for	ADP
cana-1459	54	16	palmprint	palmprint	NOUN
cana-1459	54	17	picture	picture	NOUN
cana-1459	54	18	noise	noise	NOUN
cana-1459	54	19	reduction	reduction	NOUN
cana-1459	54	20	and	and	CCONJ
cana-1459	54	21	contrast	contrast	NOUN
cana-1459	54	22	enhancement	enhancement	NOUN
cana-1459	54	23	in	in	ADP
cana-1459	54	24	order	order	NOUN
cana-1459	54	25	to	to	PART
cana-1459	54	26	improve	improve	VERB
cana-1459	54	27	the	the	DET
cana-1459	54	28	peak	peak	NOUN
cana-1459	54	29	signal	signal	NOUN
cana-1459	54	30	-	-	PUNCT
cana-1459	54	31	to	to	ADP
cana-1459	54	32	-	-	PUNCT
cana-1459	54	33	noise	noise	NOUN
cana-1459	54	34	ratio	ratio	NOUN
cana-1459	54	35	.	.	PUNCT
cana-1459	55	1	➢	➢	VERB
cana-1459	55	2	the	the	DET
cana-1459	55	3	region	region	NOUN
cana-1459	55	4	of	of	ADP
cana-1459	55	5	interest	interest	NOUN
cana-1459	55	6	(	(	PUNCT
cana-1459	55	7	roi	roi	NOUN
cana-1459	55	8	)	)	PUNCT
cana-1459	55	9	in	in	ADP
cana-1459	55	10	the	the	DET
cana-1459	55	11	image	image	NOUN
cana-1459	55	12	is	be	AUX
cana-1459	55	13	extracted	extract	VERB
cana-1459	55	14	using	use	VERB
cana-1459	55	15	the	the	DET
cana-1459	55	16	ochiai	ochiai	ADJ
cana-1459	55	17	-	-	PUNCT
cana-1459	55	18	barkman	barkman	NOUN
cana-1459	55	19	segmented	segment	VERB
cana-1459	55	20	regression	regression	NOUN
cana-1459	55	21	approach	approach	NOUN
cana-1459	55	22	,	,	PUNCT
cana-1459	55	23	which	which	PRON
cana-1459	55	24	reduces	reduce	VERB
cana-1459	55	25	processing	processing	NOUN
cana-1459	55	26	time	time	NOUN
cana-1459	55	27	.	.	PUNCT
cana-1459	56	1	in	in	ADP
cana-1459	56	2	order	order	NOUN
cana-1459	56	3	to	to	PART
cana-1459	56	4	break	break	VERB
cana-1459	56	5	down	down	ADP
cana-1459	56	6	the	the	DET
cana-1459	56	7	image	image	NOUN
cana-1459	56	8	and	and	CCONJ
cana-1459	56	9	extract	extract	VERB
cana-1459	56	10	the	the	DET
cana-1459	56	11	feature	feature	NOUN
cana-1459	56	12	vectors	vector	NOUN
cana-1459	56	13	,	,	PUNCT
cana-1459	56	14	the	the	DET
cana-1459	56	15	wavelet	wavelet	NOUN
cana-1459	56	16	packet	packet	NOUN
cana-1459	56	17	transform	transform	NOUN
cana-1459	56	18	is	be	AUX
cana-1459	56	19	then	then	ADV
cana-1459	56	20	applied	apply	VERB
cana-1459	56	21	.	.	PUNCT
cana-1459	57	1	➢	➢	NOUN
cana-1459	57	2	to	to	PART
cana-1459	57	3	enhance	enhance	VERB
cana-1459	57	4	accuracy	accuracy	NOUN
cana-1459	57	5	,	,	PUNCT
cana-1459	57	6	a	a	DET
cana-1459	57	7	deep	deep	ADJ
cana-1459	57	8	multilayer	multilayer	ADJ
cana-1459	57	9	perceptron	perceptron	PROPN
cana-1459	57	10	neural	neural	PROPN
cana-1459	57	11	network	network	NOUN
cana-1459	57	12	has	have	AUX
cana-1459	57	13	been	be	AUX
cana-1459	57	14	introduced	introduce	VERB
cana-1459	57	15	,	,	PUNCT
cana-1459	57	16	incorporating	incorporate	VERB
cana-1459	57	17	ruzicka	ruzicka	NOUN
cana-1459	57	18	index	index	NOUN
cana-1459	57	19	-	-	PUNCT
cana-1459	57	20	based	base	VERB
cana-1459	57	21	pattern	pattern	NOUN
cana-1459	57	22	matching	matching	NOUN
cana-1459	57	23	and	and	CCONJ
cana-1459	57	24	powell	powell	NOUN
cana-1459	57	25	's	's	PART
cana-1459	57	26	hybrid	hybrid	NOUN
cana-1459	57	27	method	method	NOUN
cana-1459	57	28	.	.	PUNCT
cana-1459	58	1	the	the	DET
cana-1459	58	2	ruzicka	ruzicka	PROPN
cana-1459	58	3	index	index	NOUN
cana-1459	58	4	is	be	AUX
cana-1459	58	5	utilized	utilize	VERB
cana-1459	58	6	for	for	ADP
cana-1459	58	7	comparing	compare	VERB
cana-1459	58	8	the	the	DET
cana-1459	58	9	feature	feature	NOUN
cana-1459	58	10	vectors	vector	NOUN
cana-1459	58	11	,	,	PUNCT
cana-1459	58	12	where	where	SCONJ
cana-1459	58	13	a	a	DET
cana-1459	58	14	higher	high	ADJ
cana-1459	58	15	score	score	NOUN
cana-1459	58	16	indicates	indicate	VERB
cana-1459	58	17	better	well	ADJ
cana-1459	58	18	matched	match	VERB
cana-1459	58	19	results	result	NOUN
cana-1459	58	20	.	.	PUNCT
cana-1459	59	1	powell	powell	PROPN
cana-1459	59	2	's	's	PART
cana-1459	59	3	hybrid	hybrid	NOUN
cana-1459	59	4	method	method	NOUN
cana-1459	59	5	is	be	AUX
cana-1459	59	6	employed	employ	VERB
cana-1459	59	7	to	to	PART
cana-1459	59	8	minimize	minimize	VERB
cana-1459	59	9	the	the	DET
cana-1459	59	10	classification	classification	NOUN
cana-1459	59	11	error	error	NOUN
cana-1459	59	12	associated	associate	VERB
cana-1459	59	13	with	with	ADP
cana-1459	59	14	palmprint	palmprint	NOUN
cana-1459	59	15	recognition	recognition	PROPN
cana-1459	59	16	.	.	PUNCT
cana-1459	60	1	➢	➢	PROPN
cana-1459	60	2	finally	finally	ADV
cana-1459	60	3	,	,	PUNCT
cana-1459	60	4	extensive	extensive	ADJ
cana-1459	60	5	simulations	simulation	NOUN
cana-1459	60	6	are	be	AUX
cana-1459	60	7	conducted	conduct	VERB
cana-1459	60	8	to	to	PART
cana-1459	60	9	estimate	estimate	VERB
cana-1459	60	10	the	the	DET
cana-1459	60	11	performance	performance	NOUN
cana-1459	60	12	of	of	ADP
cana-1459	60	13	the	the	DET
cana-1459	60	14	lkridmpn	lkridmpn	NOUN
cana-1459	60	15	technique	technique	NOUN
cana-1459	60	16	and	and	CCONJ
cana-1459	60	17	other	other	ADJ
cana-1459	60	18	related	related	ADJ
cana-1459	60	19	works	work	NOUN
cana-1459	60	20	.	.	PUNCT
cana-1459	61	1	1.1	1.1	NUM
cana-1459	61	2	outline	outline	NOUN
cana-1459	61	3	of	of	ADP
cana-1459	61	4	paper	paper	NOUN
cana-1459	61	5	:	:	PUNCT
cana-1459	61	6	the	the	DET
cana-1459	61	7	arrangement	arrangement	NOUN
cana-1459	61	8	of	of	ADP
cana-1459	61	9	the	the	DET
cana-1459	61	10	paper	paper	NOUN
cana-1459	61	11	is	be	AUX
cana-1459	61	12	as	as	SCONJ
cana-1459	61	13	follows	follow	VERB
cana-1459	61	14	:	:	PUNCT
cana-1459	61	15	section	section	NOUN
cana-1459	61	16	2	2	NUM
cana-1459	61	17	offers	offer	VERB
cana-1459	61	18	a	a	DET
cana-1459	61	19	summary	summary	NOUN
cana-1459	61	20	of	of	ADP
cana-1459	61	21	relevant	relevant	ADJ
cana-1459	61	22	literature	literature	NOUN
cana-1459	61	23	.	.	PUNCT
cana-1459	62	1	an	an	DET
cana-1459	62	2	algorithm	algorithm	NOUN
cana-1459	62	3	and	and	CCONJ
cana-1459	62	4	a	a	DET
cana-1459	62	5	block	block	NOUN
cana-1459	62	6	diagram	diagram	NOUN
cana-1459	62	7	are	be	AUX
cana-1459	62	8	used	use	VERB
cana-1459	62	9	to	to	PART
cana-1459	62	10	accompany	accompany	VERB
cana-1459	62	11	the	the	DET
cana-1459	62	12	detailed	detailed	ADJ
cana-1459	62	13	description	description	NOUN
cana-1459	62	14	of	of	ADP
cana-1459	62	15	the	the	DET
cana-1459	62	16	suggested	suggest	VERB
cana-1459	62	17	lkridmpn	lkridmpn	NOUN
cana-1459	62	18	palmprint	palmprint	VERB
cana-1459	62	19	identification	identification	NOUN
cana-1459	62	20	technique	technique	NOUN
cana-1459	62	21	in	in	ADP
cana-1459	62	22	section	section	NOUN
cana-1459	62	23	3	3	NUM
cana-1459	62	24	.	.	PUNCT
cana-1459	63	1	in	in	ADP
cana-1459	63	2	addition	addition	NOUN
cana-1459	63	3	to	to	ADP
cana-1459	63	4	a	a	DET
cana-1459	63	5	thorough	thorough	ADJ
cana-1459	63	6	quantitative	quantitative	ADJ
cana-1459	63	7	analysis	analysis	NOUN
cana-1459	63	8	and	and	CCONJ
cana-1459	63	9	comparison	comparison	NOUN
cana-1459	63	10	,	,	PUNCT
cana-1459	63	11	the	the	DET
cana-1459	63	12	experimental	experimental	ADJ
cana-1459	63	13	data	datum	NOUN
cana-1459	63	14	are	be	AUX
cana-1459	63	15	presented	present	VERB
cana-1459	63	16	in	in	ADP
cana-1459	63	17	section	section	NOUN
cana-1459	63	18	4	4	NUM
cana-1459	63	19	.	.	PUNCT
cana-1459	64	1	finally	finally	ADV
cana-1459	64	2	,	,	PUNCT
cana-1459	64	3	the	the	DET
cana-1459	64	4	paper	paper	NOUN
cana-1459	64	5	is	be	AUX
cana-1459	64	6	concluded	conclude	VERB
cana-1459	64	7	in	in	ADP
cana-1459	64	8	section	section	NOUN
cana-1459	64	9	5	5	NUM
cana-1459	64	10	.	.	SYM
cana-1459	64	11	2	2	NUM
cana-1459	64	12	.	.	NUM
cana-1459	64	13	related	relate	VERB
cana-1459	64	14	works	work	NOUN
cana-1459	64	15	afixed	afixe	VERB
cana-1459	64	16	key	key	ADJ
cana-1459	64	17	point	point	NOUN
cana-1459	64	18	extraction	extraction	NOUN
cana-1459	64	19	(	(	PUNCT
cana-1459	64	20	fiken	fiken	NOUN
cana-1459	64	21	)	)	PUNCT
cana-1459	64	22	method	method	NOUN
cana-1459	64	23	was	be	AUX
cana-1459	64	24	developed	develop	VERB
cana-1459	64	25	in	in	ADP
cana-1459	64	26	[	[	X
cana-1459	64	27	11	11	NUM
cana-1459	64	28	]	]	PUNCT
cana-1459	64	29	for	for	ADP
cana-1459	64	30	palmprint	palmprint	NOUN
cana-1459	64	31	characterization	characterization	NOUN
cana-1459	64	32	and	and	CCONJ
cana-1459	64	33	recognition	recognition	NOUN
cana-1459	64	34	.	.	PUNCT
cana-1459	65	1	but	but	CCONJ
cana-1459	65	2	it	it	PRON
cana-1459	65	3	failed	fail	VERB
cana-1459	65	4	to	to	PART
cana-1459	65	5	perform	perform	VERB
cana-1459	65	6	a	a	DET
cana-1459	65	7	pre	pre	ADJ
cana-1459	65	8	-	-	ADJ
cana-1459	65	9	processing	processing	ADJ
cana-1459	65	10	step	step	NOUN
cana-1459	65	11	that	that	PRON
cana-1459	65	12	makes	make	VERB
cana-1459	65	13	the	the	DET
cana-1459	65	14	higher	high	ADJ
cana-1459	65	15	recognition	recognition	NOUN
cana-1459	65	16	accuracy	accuracy	NOUN
cana-1459	65	17	.	.	PUNCT
cana-1459	66	1	a	a	DET
cana-1459	66	2	meta	meta	ADJ
cana-1459	66	3	-	-	PUNCT
cana-1459	66	4	siamese	siamese	ADJ
cana-1459	66	5	network	network	NOUN
cana-1459	66	6	(	(	PUNCT
cana-1459	66	7	msn	msn	PROPN
cana-1459	66	8	)	)	PUNCT
cana-1459	66	9	was	be	AUX
cana-1459	66	10	developed	develop	VERB
cana-1459	66	11	in	in	ADP
cana-1459	66	12	[	[	X
cana-1459	66	13	12	12	NUM
cana-1459	66	14	]	]	PUNCT
cana-1459	66	15	for	for	ADP
cana-1459	66	16	small	small	ADJ
cana-1459	66	17	-	-	PUNCT
cana-1459	66	18	sample	sample	NOUN
cana-1459	66	19	palmprint	palmprint	NOUN
cana-1459	66	20	recognition.however	recognition.however	ADP
cana-1459	66	21	,	,	PUNCT
cana-1459	66	22	the	the	DET
cana-1459	66	23	recognition	recognition	NOUN
cana-1459	66	24	scenario	scenario	NOUN
cana-1459	66	25	was	be	AUX
cana-1459	66	26	not	not	PART
cana-1459	66	27	improved	improve	VERB
cana-1459	66	28	by	by	ADP
cana-1459	66	29	adding	add	VERB
cana-1459	66	30	semantic	semantic	ADJ
cana-1459	66	31	palmprint	palmprint	NOUN
cana-1459	66	32	information	information	NOUN
cana-1459	66	33	to	to	ADP
cana-1459	66	34	the	the	DET
cana-1459	66	35	network	network	NOUN
cana-1459	66	36	.	.	PUNCT
cana-1459	67	1	the	the	DET
cana-1459	67	2	goal	goal	NOUN
cana-1459	67	3	of	of	ADP
cana-1459	67	4	[	[	X
cana-1459	67	5	13	13	NUM
cana-1459	67	6	]	]	PUNCT
cana-1459	67	7	was	be	AUX
cana-1459	67	8	to	to	PART
cana-1459	67	9	improve	improve	VERB
cana-1459	67	10	heterogeneous	heterogeneous	ADJ
cana-1459	67	11	palmprint	palmprint	NOUN
cana-1459	67	12	recognition	recognition	NOUN
cana-1459	67	13	by	by	ADP
cana-1459	67	14	developing	develop	VERB
cana-1459	67	15	a	a	DET
cana-1459	67	16	concurrent	concurrent	ADJ
cana-1459	67	17	method	method	NOUN
cana-1459	67	18	for	for	ADP
cana-1459	67	19	learning	learn	VERB
cana-1459	67	20	and	and	CCONJ
cana-1459	67	21	recording	record	VERB
cana-1459	67	22	heterogeneous	heterogeneous	ADJ
cana-1459	67	23	palmprint	palmprint	NOUN
cana-1459	67	24	information	information	NOUN
cana-1459	67	25	.	.	PUNCT
cana-1459	68	1	however	however	ADV
cana-1459	68	2	,	,	PUNCT
cana-1459	68	3	this	this	DET
cana-1459	68	4	approach	approach	NOUN
cana-1459	68	5	did	do	AUX
cana-1459	68	6	not	not	PART
cana-1459	68	7	improve	improve	VERB
cana-1459	68	8	the	the	DET
cana-1459	68	9	accuracy	accuracy	NOUN
cana-1459	68	10	of	of	ADP
cana-1459	68	11	face	face	NOUN
cana-1459	68	12	recognition.in	recognition.in	PROPN
cana-1459	69	1	[	[	X
cana-1459	69	2	14	14	NUM
cana-1459	69	3	]	]	X
cana-1459	69	4	,	,	PUNCT
cana-1459	69	5	a	a	DET
cana-1459	69	6	heuristic	heuristic	ADJ
cana-1459	69	7	approach	approach	NOUN
cana-1459	69	8	to	to	PART
cana-1459	69	9	palmprint	palmprint	NOUN
cana-1459	69	10	recognition	recognition	NOUN
cana-1459	69	11	was	be	AUX
cana-1459	69	12	presented	present	VERB
cana-1459	69	13	with	with	ADP
cana-1459	69	14	the	the	DET
cana-1459	69	15	objective	objective	NOUN
cana-1459	69	16	of	of	ADP
cana-1459	69	17	obtaining	obtain	VERB
cana-1459	69	18	three	three	NUM
cana-1459	69	19	different	different	ADJ
cana-1459	69	20	kinds	kind	NOUN
cana-1459	69	21	communications	communication	NOUN
cana-1459	69	22	on	on	ADP
cana-1459	69	23	applied	apply	VERB
cana-1459	69	24	nonlinear	nonlinear	ADJ
cana-1459	69	25	analysis	analysis	NOUN
cana-1459	69	26	issn	issn	NOUN
cana-1459	69	27	:	:	PUNCT
cana-1459	69	28	1074	1074	NUM
cana-1459	69	29	-	-	PUNCT
cana-1459	69	30	133x	133x	NUM
cana-1459	69	31	vol	vol	NOUN
cana-1459	69	32	31	31	NUM
cana-1459	69	33	no	no	NOUN
cana-1459	69	34	.	.	PUNCT
cana-1459	70	1	8s	8s	PROPN
cana-1459	70	2	(	(	PUNCT
cana-1459	70	3	2024	2024	NUM
cana-1459	70	4	)	)	PUNCT
cana-1459	70	5	98	98	NUM
cana-1459	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	70	7	of	of	ADP
cana-1459	70	8	palmprint	palmprint	NOUN
cana-1459	70	9	features	feature	NOUN
cana-1459	70	10	.	.	PUNCT
cana-1459	71	1	however	however	ADV
cana-1459	71	2	,	,	PUNCT
cana-1459	71	3	it	it	PRON
cana-1459	71	4	did	do	AUX
cana-1459	71	5	not	not	PART
cana-1459	71	6	investigate	investigate	VERB
cana-1459	71	7	other	other	ADJ
cana-1459	71	8	kinds	kind	NOUN
cana-1459	71	9	of	of	ADP
cana-1459	71	10	manually	manually	ADV
cana-1459	71	11	created	create	VERB
cana-1459	71	12	features	feature	NOUN
cana-1459	71	13	to	to	PART
cana-1459	71	14	enhance	enhance	VERB
cana-1459	71	15	palmprint	palmprint	NOUN
cana-1459	71	16	recognition	recognition	NOUN
cana-1459	71	17	performance	performance	NOUN
cana-1459	71	18	even	even	ADV
cana-1459	71	19	further	far	ADV
cana-1459	71	20	.	.	PUNCT
cana-1459	72	1	in	in	ADP
cana-1459	72	2	[	[	X
cana-1459	72	3	14	14	NUM
cana-1459	72	4	]	]	X
cana-1459	72	5	,	,	PUNCT
cana-1459	72	6	a	a	DET
cana-1459	72	7	heuristic	heuristic	ADJ
cana-1459	72	8	method	method	NOUN
cana-1459	72	9	for	for	ADP
cana-1459	72	10	palmprint	palmprint	NOUN
cana-1459	72	11	detection	detection	NOUN
cana-1459	72	12	was	be	AUX
cana-1459	72	13	presented	present	VERB
cana-1459	72	14	,	,	PUNCT
cana-1459	72	15	emphasising	emphasise	VERB
cana-1459	72	16	the	the	DET
cana-1459	72	17	feature	feature	NOUN
cana-1459	72	18	extraction	extraction	NOUN
cana-1459	72	19	of	of	ADP
cana-1459	72	20	three	three	NUM
cana-1459	72	21	different	different	ADJ
cana-1459	72	22	types	type	NOUN
cana-1459	72	23	.	.	PUNCT
cana-1459	73	1	the	the	DET
cana-1459	73	2	other	other	ADJ
cana-1459	73	3	kinds	kind	NOUN
cana-1459	73	4	of	of	ADP
cana-1459	73	5	hand	hand	NOUN
cana-1459	73	6	-	-	PUNCT
cana-1459	73	7	crafted	craft	VERB
cana-1459	73	8	characteristics	characteristic	NOUN
cana-1459	73	9	,	,	PUNCT
cana-1459	73	10	on	on	ADP
cana-1459	73	11	the	the	DET
cana-1459	73	12	other	other	ADJ
cana-1459	73	13	hand	hand	NOUN
cana-1459	73	14	,	,	PUNCT
cana-1459	73	15	that	that	PRON
cana-1459	73	16	improve	improve	VERB
cana-1459	73	17	palmprint	palmprint	NOUN
cana-1459	73	18	recognition	recognition	NOUN
cana-1459	73	19	performance	performance	NOUN
cana-1459	73	20	were	be	AUX
cana-1459	73	21	overlooked	overlook	VERB
cana-1459	73	22	.	.	PUNCT
cana-1459	74	1	in	in	ADP
cana-1459	74	2	order	order	NOUN
cana-1459	74	3	to	to	PART
cana-1459	74	4	recognise	recognise	VERB
cana-1459	74	5	palmprints	palmprint	NOUN
cana-1459	74	6	,	,	PUNCT
cana-1459	74	7	a	a	DET
cana-1459	74	8	brand	brand	NOUN
cana-1459	74	9	-	-	PUNCT
cana-1459	74	10	new	new	ADJ
cana-1459	74	11	technique	technique	NOUN
cana-1459	74	12	called	call	VERB
cana-1459	74	13	joint	joint	ADJ
cana-1459	74	14	pixel	pixel	NOUN
cana-1459	74	15	and	and	CCONJ
cana-1459	74	16	feature	feature	NOUN
cana-1459	74	17	alignment	alignment	NOUN
cana-1459	74	18	(	(	PUNCT
cana-1459	74	19	jpfa	jpfa	ADV
cana-1459	74	20	)	)	PUNCT
cana-1459	74	21	using	use	VERB
cana-1459	74	22	adaptive	adaptive	ADJ
cana-1459	74	23	features	feature	NOUN
cana-1459	74	24	was	be	AUX
cana-1459	74	25	presented	present	VERB
cana-1459	74	26	in	in	ADP
cana-1459	74	27	[	[	X
cana-1459	74	28	15	15	NUM
cana-1459	74	29	]	]	PUNCT
cana-1459	74	30	.	.	PUNCT
cana-1459	75	1	but	but	CCONJ
cana-1459	75	2	the	the	DET
cana-1459	75	3	technique	technique	NOUN
cana-1459	75	4	did	do	AUX
cana-1459	75	5	n't	not	PART
cana-1459	75	6	make	make	VERB
cana-1459	75	7	palmprint	palmprint	NOUN
cana-1459	75	8	identification	identification	NOUN
cana-1459	75	9	any	any	ADV
cana-1459	75	10	simpler	simple	ADJ
cana-1459	75	11	or	or	CCONJ
cana-1459	75	12	more	more	ADV
cana-1459	75	13	effective	effective	ADJ
cana-1459	75	14	.	.	PUNCT
cana-1459	76	1	in	in	ADP
cana-1459	76	2	[	[	X
cana-1459	76	3	16	16	NUM
cana-1459	76	4	]	]	PUNCT
cana-1459	76	5	,	,	PUNCT
cana-1459	76	6	a	a	DET
cana-1459	76	7	brand	brand	NOUN
cana-1459	76	8	-	-	PUNCT
cana-1459	76	9	new	new	ADJ
cana-1459	76	10	multimodal	multimodal	NOUN
cana-1459	76	11	palmprint	palmprint	NOUN
cana-1459	76	12	technique	technique	NOUN
cana-1459	76	13	was	be	AUX
cana-1459	76	14	created	create	VERB
cana-1459	76	15	that	that	PRON
cana-1459	76	16	combines	combine	VERB
cana-1459	76	17	the	the	DET
cana-1459	76	18	left	left	ADJ
cana-1459	76	19	and	and	CCONJ
cana-1459	76	20	right	right	ADJ
cana-1459	76	21	palmprints	palmprint	NOUN
cana-1459	76	22	via	via	ADP
cana-1459	76	23	feature	feature	NOUN
cana-1459	76	24	-	-	PUNCT
cana-1459	76	25	level	level	NOUN
cana-1459	76	26	fusion	fusion	NOUN
cana-1459	76	27	.	.	PUNCT
cana-1459	77	1	on	on	ADP
cana-1459	77	2	the	the	DET
cana-1459	77	3	other	other	ADJ
cana-1459	77	4	hand	hand	NOUN
cana-1459	77	5	,	,	PUNCT
cana-1459	77	6	the	the	DET
cana-1459	77	7	palmprint	palmprint	NOUN
cana-1459	77	8	recognition	recognition	PROPN
cana-1459	77	9	time	time	NOUN
cana-1459	77	10	complexity	complexity	NOUN
cana-1459	77	11	of	of	ADP
cana-1459	77	12	this	this	DET
cana-1459	77	13	method	method	NOUN
cana-1459	77	14	is	be	AUX
cana-1459	77	15	larger	large	ADJ
cana-1459	77	16	.	.	PUNCT
cana-1459	78	1	in	in	ADP
cana-1459	78	2	[	[	X
cana-1459	78	3	17	17	NUM
cana-1459	78	4	]	]	X
cana-1459	78	5	,	,	PUNCT
cana-1459	78	6	a	a	DET
cana-1459	78	7	non	non	ADJ
cana-1459	78	8	-	-	ADJ
cana-1459	78	9	invertible	invertible	ADJ
cana-1459	78	10	palmprint	palmprint	NOUN
cana-1459	78	11	template	template	NOUN
cana-1459	78	12	matching	matching	NOUN
cana-1459	78	13	method	method	NOUN
cana-1459	78	14	was	be	AUX
cana-1459	78	15	presented	present	VERB
cana-1459	78	16	.	.	PUNCT
cana-1459	79	1	however	however	ADV
cana-1459	79	2	,	,	PUNCT
cana-1459	79	3	this	this	DET
cana-1459	79	4	method	method	NOUN
cana-1459	79	5	did	do	AUX
cana-1459	79	6	not	not	PART
cana-1459	79	7	investigate	investigate	VERB
cana-1459	79	8	a	a	DET
cana-1459	79	9	number	number	NOUN
cana-1459	79	10	of	of	ADP
cana-1459	79	11	computational	computational	ADJ
cana-1459	79	12	geometry	geometry	NOUN
cana-1459	79	13	-	-	PUNCT
cana-1459	79	14	based	base	VERB
cana-1459	79	15	palmprint	palmprint	NOUN
cana-1459	79	16	features	feature	VERB
cana-1459	79	17	that	that	PRON
cana-1459	79	18	could	could	AUX
cana-1459	79	19	improve	improve	VERB
cana-1459	79	20	recognition	recognition	NOUN
cana-1459	79	21	rates	rate	NOUN
cana-1459	79	22	and	and	CCONJ
cana-1459	79	23	lower	low	ADJ
cana-1459	79	24	mistake	mistake	NOUN
cana-1459	79	25	rates	rate	NOUN
cana-1459	79	26	.	.	PUNCT
cana-1459	80	1	in	in	ADP
cana-1459	80	2	[	[	X
cana-1459	80	3	18	18	NUM
cana-1459	80	4	]	]	PUNCT
cana-1459	80	5	,	,	PUNCT
cana-1459	80	6	bit	bit	NOUN
cana-1459	80	7	—	—	PUNCT
cana-1459	80	8	a	a	DET
cana-1459	80	9	transform	transform	NOUN
cana-1459	80	10	feature	feature	NOUN
cana-1459	80	11	extractor	extractor	NOUN
cana-1459	80	12	with	with	ADP
cana-1459	80	13	biological	biological	ADJ
cana-1459	80	14	inspiration	inspiration	NOUN
cana-1459	80	15	—	—	PUNCT
cana-1459	80	16	was	be	AUX
cana-1459	80	17	introduced	introduce	VERB
cana-1459	80	18	for	for	ADP
cana-1459	80	19	palmprint	palmprint	NOUN
cana-1459	80	20	identification	identification	NOUN
cana-1459	80	21	.	.	PUNCT
cana-1459	81	1	this	this	DET
cana-1459	81	2	transformation	transformation	NOUN
cana-1459	81	3	,	,	PUNCT
cana-1459	81	4	however	however	ADV
cana-1459	81	5	,	,	PUNCT
cana-1459	81	6	requires	require	VERB
cana-1459	81	7	a	a	DET
cana-1459	81	8	lot	lot	NOUN
cana-1459	81	9	of	of	ADP
cana-1459	81	10	computing	compute	VERB
cana-1459	81	11	power	power	NOUN
cana-1459	81	12	.	.	PUNCT
cana-1459	82	1	a	a	DET
cana-1459	82	2	multimodal	multimodal	NOUN
cana-1459	82	3	palmprint	palmprint	NOUN
cana-1459	82	4	biometric	biometric	ADJ
cana-1459	82	5	system	system	NOUN
cana-1459	82	6	was	be	AUX
cana-1459	82	7	developed	develop	VERB
cana-1459	82	8	in	in	ADP
cana-1459	82	9	[	[	X
cana-1459	82	10	19	19	NUM
cana-1459	82	11	]	]	PUNCT
cana-1459	82	12	by	by	ADP
cana-1459	82	13	integrating	integrate	VERB
cana-1459	82	14	both	both	PRON
cana-1459	82	15	left	leave	VERB
cana-1459	82	16	and	and	CCONJ
cana-1459	82	17	right	right	ADJ
cana-1459	82	18	palmprint	palmprint	NOUN
cana-1459	82	19	images	image	NOUN
cana-1459	82	20	.	.	PUNCT
cana-1459	83	1	this	this	DET
cana-1459	83	2	integration	integration	NOUN
cana-1459	83	3	aimed	aim	VERB
cana-1459	83	4	to	to	PART
cana-1459	83	5	achieve	achieve	VERB
cana-1459	83	6	an	an	DET
cana-1459	83	7	optimal	optimal	ADJ
cana-1459	83	8	recognition	recognition	NOUN
cana-1459	83	9	rate	rate	NOUN
cana-1459	83	10	.	.	PUNCT
cana-1459	84	1	however	however	ADV
cana-1459	84	2	,	,	PUNCT
cana-1459	84	3	this	this	DET
cana-1459	84	4	system	system	NOUN
cana-1459	84	5	utilized	utilize	VERB
cana-1459	84	6	a	a	DET
cana-1459	84	7	relatively	relatively	ADV
cana-1459	84	8	minimal	minimal	ADJ
cana-1459	84	9	dataset	dataset	NOUN
cana-1459	84	10	for	for	ADP
cana-1459	84	11	its	its	PRON
cana-1459	84	12	evaluation.a	evaluation.a	NOUN
cana-1459	84	13	new	new	ADJ
cana-1459	84	14	deep	deep	ADJ
cana-1459	84	15	-	-	PUNCT
cana-1459	84	16	learning	learn	VERB
cana-1459	84	17	method	method	NOUN
cana-1459	84	18	was	be	AUX
cana-1459	84	19	designed	design	VERB
cana-1459	84	20	in	in	ADP
cana-1459	84	21	[	[	X
cana-1459	84	22	20	20	NUM
cana-1459	84	23	]	]	PUNCT
cana-1459	84	24	to	to	PART
cana-1459	84	25	extract	extract	VERB
cana-1459	84	26	principal	principal	ADJ
cana-1459	84	27	lines	line	NOUN
cana-1459	84	28	and	and	CCONJ
cana-1459	84	29	categorize	categorize	VERB
cana-1459	84	30	palmprint	palmprint	NOUN
cana-1459	84	31	phenotypes	phenotype	NOUN
cana-1459	84	32	from	from	ADP
cana-1459	84	33	palmprint	palmprint	NOUN
cana-1459	84	34	images	image	NOUN
cana-1459	84	35	.	.	PUNCT
cana-1459	85	1	however	however	ADV
cana-1459	85	2	,	,	PUNCT
cana-1459	85	3	the	the	DET
cana-1459	85	4	higher	high	ADJ
cana-1459	85	5	accuracy	accuracy	NOUN
cana-1459	85	6	of	of	ADP
cana-1459	85	7	the	the	DET
cana-1459	85	8	recognition	recognition	NOUN
cana-1459	85	9	was	be	AUX
cana-1459	85	10	not	not	PART
cana-1459	85	11	achieved	achieve	VERB
cana-1459	85	12	.	.	PUNCT
cana-1459	86	1	3	3	X
cana-1459	86	2	.	.	X
cana-1459	86	3	proposal	proposal	NOUN
cana-1459	86	4	methodology	methodology	NOUN
cana-1459	86	5	biometrics	biometric	NOUN
cana-1459	86	6	is	be	AUX
cana-1459	86	7	the	the	DET
cana-1459	86	8	use	use	NOUN
cana-1459	86	9	of	of	ADP
cana-1459	86	10	computing	compute	VERB
cana-1459	86	11	techniques	technique	NOUN
cana-1459	86	12	to	to	ADP
cana-1459	86	13	human	human	ADJ
cana-1459	86	14	behavioural	behavioural	ADJ
cana-1459	86	15	and	and	CCONJ
cana-1459	86	16	physiological	physiological	ADJ
cana-1459	86	17	analysis	analysis	NOUN
cana-1459	86	18	in	in	ADP
cana-1459	86	19	order	order	NOUN
cana-1459	86	20	to	to	PART
cana-1459	86	21	improve	improve	VERB
cana-1459	86	22	information	information	NOUN
cana-1459	86	23	security	security	NOUN
cana-1459	86	24	via	via	ADP
cana-1459	86	25	personal	personal	ADJ
cana-1459	86	26	authentication	authentication	NOUN
cana-1459	86	27	.	.	PUNCT
cana-1459	87	1	the	the	DET
cana-1459	87	2	principal	principal	ADJ
cana-1459	87	3	aim	aim	NOUN
cana-1459	87	4	of	of	ADP
cana-1459	87	5	biometrics	biometric	NOUN
cana-1459	87	6	is	be	AUX
cana-1459	87	7	to	to	PART
cana-1459	87	8	reliably	reliably	ADV
cana-1459	87	9	identify	identify	VERB
cana-1459	87	10	people	people	NOUN
cana-1459	87	11	through	through	ADP
cana-1459	87	12	their	their	PRON
cana-1459	87	13	unique	unique	ADJ
cana-1459	87	14	characteristics	characteristic	NOUN
cana-1459	87	15	.	.	PUNCT
cana-1459	88	1	diverse	diverse	ADJ
cana-1459	88	2	techniques	technique	NOUN
cana-1459	88	3	have	have	AUX
cana-1459	88	4	been	be	AUX
cana-1459	88	5	devised	devise	VERB
cana-1459	88	6	to	to	PART
cana-1459	88	7	utilise	utilise	VERB
cana-1459	88	8	distinct	distinct	ADJ
cana-1459	88	9	features	feature	NOUN
cana-1459	88	10	of	of	ADP
cana-1459	88	11	the	the	DET
cana-1459	88	12	human	human	ADJ
cana-1459	88	13	anatomy	anatomy	NOUN
cana-1459	88	14	for	for	ADP
cana-1459	88	15	accurate	accurate	ADJ
cana-1459	88	16	picture	picture	NOUN
cana-1459	88	17	identification	identification	NOUN
cana-1459	88	18	,	,	PUNCT
cana-1459	88	19	such	such	ADJ
cana-1459	88	20	as	as	ADP
cana-1459	88	21	handbased	handbased	ADJ
cana-1459	88	22	biometrics	biometric	NOUN
cana-1459	88	23	and	and	CCONJ
cana-1459	88	24	ear	ear	NOUN
cana-1459	88	25	,	,	PUNCT
cana-1459	88	26	face	face	NOUN
cana-1459	88	27	,	,	PUNCT
cana-1459	88	28	gait	gait	NOUN
cana-1459	88	29	,	,	PUNCT
cana-1459	88	30	and	and	CCONJ
cana-1459	88	31	posture	posture	NOUN
cana-1459	88	32	biometrics	biometric	NOUN
cana-1459	88	33	.	.	PUNCT
cana-1459	89	1	this	this	DET
cana-1459	89	2	work	work	NOUN
cana-1459	89	3	focusses	focusse	VERB
cana-1459	89	4	on	on	ADP
cana-1459	89	5	palmprint	palmprint	NOUN
cana-1459	89	6	recognition	recognition	NOUN
cana-1459	89	7	utilising	utilise	VERB
cana-1459	89	8	the	the	DET
cana-1459	89	9	lkridmpn	lkridmpn	NOUN
cana-1459	89	10	approach	approach	NOUN
cana-1459	89	11	for	for	ADP
cana-1459	89	12	individual	individual	ADJ
cana-1459	89	13	identification	identification	NOUN
cana-1459	89	14	.	.	PUNCT
cana-1459	90	1	to	to	PART
cana-1459	90	2	achieve	achieve	VERB
cana-1459	90	3	accurate	accurate	ADJ
cana-1459	90	4	identification	identification	NOUN
cana-1459	90	5	recognition	recognition	NOUN
cana-1459	90	6	,	,	PUNCT
cana-1459	90	7	this	this	DET
cana-1459	90	8	technique	technique	NOUN
cana-1459	90	9	involves	involve	VERB
cana-1459	90	10	several	several	ADJ
cana-1459	90	11	stages	stage	NOUN
cana-1459	90	12	:	:	PUNCT
cana-1459	90	13	feature	feature	NOUN
cana-1459	90	14	extraction	extraction	NOUN
cana-1459	90	15	,	,	PUNCT
cana-1459	90	16	image	image	NOUN
cana-1459	90	17	denoising	denoising	NOUN
cana-1459	90	18	,	,	PUNCT
cana-1459	90	19	and	and	CCONJ
cana-1459	90	20	final	final	ADJ
cana-1459	90	21	matching	matching	NOUN
cana-1459	90	22	.	.	PUNCT
cana-1459	91	1	communications	communication	NOUN
cana-1459	91	2	on	on	ADP
cana-1459	91	3	applied	apply	VERB
cana-1459	91	4	nonlinear	nonlinear	ADJ
cana-1459	91	5	analysis	analysis	NOUN
cana-1459	91	6	issn	issn	NOUN
cana-1459	91	7	:	:	PUNCT
cana-1459	91	8	1074	1074	NUM
cana-1459	91	9	-	-	PUNCT
cana-1459	91	10	133x	133x	NUM
cana-1459	91	11	vol	vol	NOUN
cana-1459	91	12	31	31	NUM
cana-1459	91	13	no	no	NOUN
cana-1459	91	14	.	.	PUNCT
cana-1459	92	1	8s	8s	PROPN
cana-1459	92	2	(	(	PUNCT
cana-1459	92	3	2024	2024	NUM
cana-1459	92	4	)	)	PUNCT
cana-1459	92	5	99	99	NUM
cana-1459	93	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	93	2	figure	figure	NOUN
cana-1459	93	3	1	1	NUM
cana-1459	93	4	architecture	architecture	NOUN
cana-1459	93	5	of	of	ADP
cana-1459	93	6	the	the	DET
cana-1459	93	7	lkridmpn	lkridmpn	NOUN
cana-1459	93	8	method	method	VERB
cana-1459	93	9	the	the	DET
cana-1459	93	10	architecture	architecture	NOUN
cana-1459	93	11	diagram	diagram	NOUN
cana-1459	93	12	of	of	ADP
cana-1459	93	13	the	the	DET
cana-1459	93	14	lkridmpn	lkridmpn	NOUN
cana-1459	93	15	technique	technique	NOUN
cana-1459	93	16	,	,	PUNCT
cana-1459	93	17	which	which	PRON
cana-1459	93	18	consists	consist	VERB
cana-1459	93	19	of	of	ADP
cana-1459	93	20	four	four	NUM
cana-1459	93	21	primary	primary	ADJ
cana-1459	93	22	stages	stage	NOUN
cana-1459	93	23	for	for	ADP
cana-1459	93	24	palmprint	palmprint	NOUN
cana-1459	93	25	detection	detection	NOUN
cana-1459	93	26	and	and	CCONJ
cana-1459	93	27	classification	classification	NOUN
cana-1459	93	28	,	,	PUNCT
cana-1459	93	29	is	be	AUX
cana-1459	93	30	shown	show	VERB
cana-1459	93	31	in	in	ADP
cana-1459	93	32	figure	figure	NOUN
cana-1459	93	33	1	1	NUM
cana-1459	93	34	.	.	PUNCT
cana-1459	94	1	a	a	DET
cana-1459	94	2	series	series	NOUN
cana-1459	94	3	of	of	ADP
cana-1459	94	4	palm	palm	NOUN
cana-1459	94	5	pictures	picture	NOUN
cana-1459	94	6	,	,	PUNCT
cana-1459	94	7	designated	designate	VERB
cana-1459	94	8	as	as	ADP
cana-1459	94	9	𝑃𝐼1	𝑃𝐼1	PROPN
cana-1459	94	10	,	,	PUNCT
cana-1459	94	11	𝑃𝐼2	𝑃𝐼2	PROPN
cana-1459	94	12	,	,	PUNCT
cana-1459	94	13	𝑃𝐼3	𝑃𝐼3	PROPN
cana-1459	94	14	,	,	PUNCT
cana-1459	94	15	…	…	PUNCT
cana-1459	94	16	.	.	PUNCT
cana-1459	95	1	,	,	PUNCT
cana-1459	95	2	𝑃𝐼𝑛	𝑃𝐼𝑛	PROPN
cana-1459	95	3	,	,	PUNCT
cana-1459	95	4	is	be	AUX
cana-1459	95	5	taken	take	VERB
cana-1459	95	6	from	from	ADP
cana-1459	95	7	the	the	DET
cana-1459	95	8	dataset	dataset	NOUN
cana-1459	95	9	,	,	PUNCT
cana-1459	95	10	as	as	SCONJ
cana-1459	95	11	the	the	DET
cana-1459	95	12	figure	figure	NOUN
cana-1459	95	13	illustrates	illustrate	VERB
cana-1459	95	14	.	.	PUNCT
cana-1459	96	1	laplacian	laplacian	ADJ
cana-1459	96	2	kernel	kernel	PROPN
cana-1459	96	3	gamma	gamma	PROPN
cana-1459	96	4	map	map	NOUN
cana-1459	96	5	filtering	filtering	NOUN
cana-1459	96	6	is	be	AUX
cana-1459	96	7	used	use	VERB
cana-1459	96	8	for	for	ADP
cana-1459	96	9	image	image	NOUN
cana-1459	96	10	preprocessing	preprocessing	NOUN
cana-1459	96	11	after	after	ADP
cana-1459	96	12	image	image	NOUN
cana-1459	96	13	acquisition	acquisition	NOUN
cana-1459	96	14	to	to	PART
cana-1459	96	15	improve	improve	VERB
cana-1459	96	16	image	image	NOUN
cana-1459	96	17	quality	quality	NOUN
cana-1459	96	18	by	by	ADP
cana-1459	96	19	removing	remove	VERB
cana-1459	96	20	noise	noise	NOUN
cana-1459	96	21	.	.	PUNCT
cana-1459	97	1	in	in	ADP
cana-1459	97	2	the	the	DET
cana-1459	97	3	second	second	ADJ
cana-1459	97	4	step	step	NOUN
cana-1459	97	5	,	,	PUNCT
cana-1459	97	6	ochiai	ochiai	ADJ
cana-1459	97	7	-	-	PUNCT
cana-1459	97	8	barkman	barkman	NOUN
cana-1459	97	9	segmented	segment	VERB
cana-1459	97	10	regression	regression	NOUN
cana-1459	97	11	is	be	AUX
cana-1459	97	12	used	use	VERB
cana-1459	97	13	to	to	PART
cana-1459	97	14	extract	extract	VERB
cana-1459	97	15	the	the	DET
cana-1459	97	16	roi	roi	NOUN
cana-1459	97	17	(	(	PUNCT
cana-1459	97	18	region	region	NOUN
cana-1459	97	19	of	of	ADP
cana-1459	97	20	interest	interest	NOUN
cana-1459	97	21	)	)	PUNCT
cana-1459	97	22	.	.	PUNCT
cana-1459	98	1	then	then	ADV
cana-1459	98	2	,	,	PUNCT
cana-1459	98	3	different	different	ADJ
cana-1459	98	4	features	feature	NOUN
cana-1459	98	5	are	be	AUX
cana-1459	98	6	retrieved	retrieve	VERB
cana-1459	98	7	,	,	PUNCT
cana-1459	98	8	including	include	VERB
cana-1459	98	9	primary	primary	ADJ
cana-1459	98	10	lines	line	NOUN
cana-1459	98	11	,	,	PUNCT
cana-1459	98	12	ridges	ridge	NOUN
cana-1459	98	13	,	,	PUNCT
cana-1459	98	14	wrinkles	wrinkle	NOUN
cana-1459	98	15	,	,	PUNCT
cana-1459	98	16	minutiae	minutiae	NOUN
cana-1459	98	17	points	point	NOUN
cana-1459	98	18	,	,	PUNCT
cana-1459	98	19	unique	unique	ADJ
cana-1459	98	20	points	point	NOUN
cana-1459	98	21	,	,	PUNCT
cana-1459	98	22	and	and	CCONJ
cana-1459	98	23	textural	textural	ADJ
cana-1459	98	24	features	feature	NOUN
cana-1459	98	25	.	.	PUNCT
cana-1459	99	1	using	use	VERB
cana-1459	99	2	the	the	DET
cana-1459	99	3	pre	pre	ADJ
cana-1459	99	4	-	-	ADJ
cana-1459	99	5	stored	store	VERB
cana-1459	99	6	templates	template	NOUN
cana-1459	99	7	and	and	CCONJ
cana-1459	99	8	the	the	DET
cana-1459	99	9	extracted	extract	VERB
cana-1459	99	10	features	feature	NOUN
cana-1459	99	11	,	,	PUNCT
cana-1459	99	12	pattern	pattern	NOUN
cana-1459	99	13	matching	matching	NOUN
cana-1459	99	14	is	be	AUX
cana-1459	99	15	finally	finally	ADV
cana-1459	99	16	carried	carry	VERB
cana-1459	99	17	out	out	ADP
cana-1459	99	18	.	.	PUNCT
cana-1459	100	1	the	the	DET
cana-1459	100	2	lkridmpn	lkridmpn	NOUN
cana-1459	100	3	method	method	NOUN
cana-1459	100	4	's	's	PART
cana-1459	100	5	unique	unique	ADJ
cana-1459	100	6	procedures	procedure	NOUN
cana-1459	100	7	are	be	AUX
cana-1459	100	8	explained	explain	VERB
cana-1459	100	9	in	in	ADP
cana-1459	100	10	detail	detail	NOUN
cana-1459	100	11	in	in	ADP
cana-1459	100	12	the	the	DET
cana-1459	100	13	following	follow	VERB
cana-1459	100	14	subsections	subsection	NOUN
cana-1459	100	15	.	.	PUNCT
cana-1459	101	1	3.1	3.1	NUM
cana-1459	101	2	laplacian	laplacian	ADJ
cana-1459	101	3	kernel	kernel	PROPN
cana-1459	101	4	gamma	gamma	PROPN
cana-1459	101	5	map	map	NOUN
cana-1459	101	6	filtering	filtering	NOUN
cana-1459	101	7	based	base	VERB
cana-1459	101	8	image	image	NOUN
cana-1459	101	9	preprocessing	preprocesse	VERB
cana-1459	101	10	image	image	NOUN
cana-1459	101	11	preprocessing	preprocessing	NOUN
cana-1459	101	12	is	be	AUX
cana-1459	101	13	a	a	DET
cana-1459	101	14	fundamental	fundamental	ADJ
cana-1459	101	15	step	step	NOUN
cana-1459	101	16	in	in	ADP
cana-1459	101	17	image	image	NOUN
cana-1459	101	18	analysis	analysis	NOUN
cana-1459	101	19	that	that	PRON
cana-1459	101	20	involves	involve	VERB
cana-1459	101	21	applying	apply	VERB
cana-1459	101	22	filtering	filtering	NOUN
cana-1459	101	23	techniques	technique	NOUN
cana-1459	101	24	to	to	PART
cana-1459	101	25	enhance	enhance	VERB
cana-1459	101	26	the	the	DET
cana-1459	101	27	quality	quality	NOUN
cana-1459	101	28	of	of	ADP
cana-1459	101	29	an	an	DET
cana-1459	101	30	image	image	NOUN
cana-1459	101	31	before	before	ADP
cana-1459	101	32	the	the	DET
cana-1459	101	33	processing	processing	NOUN
cana-1459	101	34	.	.	PUNCT
cana-1459	102	1	the	the	DET
cana-1459	102	2	mainobjective	mainobjective	NOUN
cana-1459	102	3	of	of	ADP
cana-1459	102	4	image	image	NOUN
cana-1459	102	5	preprocessing	preprocessing	NOUN
cana-1459	102	6	is	be	AUX
cana-1459	102	7	to	to	PART
cana-1459	102	8	improve	improve	VERB
cana-1459	102	9	the	the	DET
cana-1459	102	10	accuracy	accuracy	NOUN
cana-1459	102	11	and	and	CCONJ
cana-1459	102	12	efficiency	efficiency	NOUN
cana-1459	102	13	of	of	ADP
cana-1459	102	14	recognition	recognition	NOUN
cana-1459	102	15	and	and	CCONJ
cana-1459	102	16	feature	feature	NOUN
cana-1459	102	17	extraction	extraction	NOUN
cana-1459	102	18	.	.	PUNCT
cana-1459	103	1	in	in	ADP
cana-1459	103	2	the	the	DET
cana-1459	103	3	context	context	NOUN
cana-1459	103	4	of	of	ADP
cana-1459	103	5	the	the	DET
cana-1459	103	6	lkridmpn	lkridmpn	NOUN
cana-1459	103	7	method	method	NOUN
cana-1459	103	8	,	,	PUNCT
cana-1459	103	9	the	the	DET
cana-1459	103	10	image	image	NOUN
cana-1459	103	11	preprocessing	preprocessing	NOUN
cana-1459	103	12	step	step	NOUN
cana-1459	103	13	involves	involve	VERB
cana-1459	103	14	the	the	DET
cana-1459	103	15	application	application	NOUN
cana-1459	103	16	of	of	ADP
cana-1459	103	17	laplacian	laplacian	ADJ
cana-1459	103	18	kernel	kernel	PROPN
cana-1459	103	19	gamma	gamma	PROPN
cana-1459	103	20	map	map	NOUN
cana-1459	103	21	filtering	filter	VERB
cana-1459	103	22	to	to	ADP
cana-1459	103	23	the	the	DET
cana-1459	103	24	collected	collect	VERB
cana-1459	103	25	palm	palm	NOUN
cana-1459	103	26	images	image	NOUN
cana-1459	103	27	.	.	PUNCT
cana-1459	104	1	this	this	DET
cana-1459	104	2	technique	technique	NOUN
cana-1459	104	3	helps	help	VERB
cana-1459	104	4	to	to	PART
cana-1459	104	5	enhance	enhance	VERB
cana-1459	104	6	image	image	NOUN
cana-1459	104	7	quality	quality	NOUN
cana-1459	104	8	by	by	ADP
cana-1459	104	9	reducing	reduce	VERB
cana-1459	104	10	noise	noise	NOUN
cana-1459	104	11	.	.	PUNCT
cana-1459	105	1	palm	palm	NOUN
cana-1459	105	2	images	image	NOUN
cana-1459	105	3	dataset	dataset	VERB
cana-1459	105	4	image	image	NOUN
cana-1459	105	5	acquisition	acquisition	NOUN
cana-1459	105	6	preprocessing	preprocesse	VERB
cana-1459	105	7	laplacian	laplacian	ADJ
cana-1459	105	8	kernel	kernel	PROPN
cana-1459	105	9	gamma	gamma	PROPN
cana-1459	105	10	map	map	NOUN
cana-1459	105	11	filtering	filter	VERB
cana-1459	105	12	roi	roi	NOUN
cana-1459	105	13	extraction	extraction	NOUN
cana-1459	105	14	ochiai	ochiai	ADJ
cana-1459	105	15	-	-	PUNCT
cana-1459	105	16	barkman	barkman	NOUN
cana-1459	105	17	segmented	segment	VERB
cana-1459	105	18	regression	regression	NOUN
cana-1459	105	19	feature	feature	NOUN
cana-1459	105	20	extraction	extraction	NOUN
cana-1459	105	21	principal	principal	ADJ
cana-1459	105	22	ridges	ridge	NOUN
cana-1459	105	23	,	,	PUNCT
cana-1459	105	24	folds	fold	NOUN
cana-1459	105	25	,	,	PUNCT
cana-1459	105	26	tiny	tiny	ADJ
cana-1459	105	27	points	point	NOUN
cana-1459	105	28	,	,	PUNCT
cana-1459	105	29	isolated	isolated	ADJ
cana-1459	105	30	points	point	NOUN
cana-1459	105	31	,	,	PUNCT
cana-1459	105	32	and	and	CCONJ
cana-1459	105	33	textural	textural	ADJ
cana-1459	105	34	characteristics	characteristic	NOUN
cana-1459	105	35	pattern	pattern	NOUN
cana-1459	105	36	matching	match	VERB
cana-1459	105	37	deep	deep	ADJ
cana-1459	105	38	multilayer	multilayer	ADJ
cana-1459	105	39	perceptron	perceptron	PROPN
cana-1459	105	40	neural	neural	PROPN
cana-1459	105	41	network	network	PROPN
cana-1459	105	42	based	base	VERB
cana-1459	105	43	classification	classification	NOUN
cana-1459	105	44	accurate	accurate	ADJ
cana-1459	105	45	palmprint	palmprint	NOUN
cana-1459	105	46	detection	detection	NOUN
cana-1459	105	47	communications	communication	NOUN
cana-1459	105	48	on	on	ADP
cana-1459	105	49	applied	apply	VERB
cana-1459	105	50	nonlinear	nonlinear	ADJ
cana-1459	105	51	analysis	analysis	NOUN
cana-1459	105	52	issn	issn	NOUN
cana-1459	105	53	:	:	PUNCT
cana-1459	105	54	1074	1074	NUM
cana-1459	105	55	-	-	PUNCT
cana-1459	105	56	133x	133x	NUM
cana-1459	105	57	vol	vol	NOUN
cana-1459	105	58	31	31	NUM
cana-1459	105	59	no	no	NOUN
cana-1459	105	60	.	.	PUNCT
cana-1459	106	1	8s	8s	PROPN
cana-1459	106	2	(	(	PUNCT
cana-1459	106	3	2024	2024	NUM
cana-1459	106	4	)	)	PUNCT
cana-1459	106	5	100	100	NUM
cana-1459	106	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	106	7	figure	figure	NOUN
cana-1459	106	8	2	2	NUM
cana-1459	106	9	structure	structure	NOUN
cana-1459	106	10	of	of	ADP
cana-1459	106	11	laplacian	laplacian	ADJ
cana-1459	106	12	kernel	kernel	PROPN
cana-1459	106	13	gamma	gamma	PROPN
cana-1459	106	14	map	map	NOUN
cana-1459	106	15	filtering	filter	VERB
cana-1459	106	16	-based	-based	ADJ
cana-1459	106	17	preprocessing	preprocessing	NOUN
cana-1459	106	18	model	model	NOUN
cana-1459	106	19	from	from	ADP
cana-1459	106	20	the	the	DET
cana-1459	106	21	above	above	ADJ
cana-1459	106	22	figure	figure	NOUN
cana-1459	106	23	2	2	NUM
cana-1459	106	24	,	,	PUNCT
cana-1459	106	25	process	process	NOUN
cana-1459	106	26	of	of	ADP
cana-1459	106	27	laplacian	laplacian	ADJ
cana-1459	106	28	kernel	kernel	PROPN
cana-1459	106	29	gamma	gamma	PROPN
cana-1459	106	30	map	map	NOUN
cana-1459	106	31	filtering	filtering	NOUN
cana-1459	106	32	is	be	AUX
cana-1459	106	33	illustrated	illustrate	VERB
cana-1459	106	34	and	and	CCONJ
cana-1459	106	35	obtain	obtain	VERB
cana-1459	106	36	the	the	DET
cana-1459	106	37	quality	quality	NOUN
cana-1459	106	38	enhanced	enhance	VERB
cana-1459	106	39	image	image	NOUN
cana-1459	106	40	.	.	PUNCT
cana-1459	107	1	let	let	VERB
cana-1459	107	2	us	we	PRON
cana-1459	107	3	consider	consider	VERB
cana-1459	107	4	the	the	DET
cana-1459	107	5	sample	sample	NOUN
cana-1459	107	6	palm	palm	NOUN
cana-1459	107	7	image	image	NOUN
cana-1459	107	8	‘	'	PUNCT
cana-1459	107	9	𝑃𝐼	𝑃𝐼	PROPN
cana-1459	107	10	’	'	PUNCT
cana-1459	107	11	with	with	ADP
cana-1459	107	12	which	which	PRON
cana-1459	107	13	pixels𝑍1,𝑍2	pixels𝑍1,𝑍2	ADP
cana-1459	107	14	,	,	PUNCT
cana-1459	107	15	𝑍3	𝑍3	NOUN
cana-1459	107	16	,	,	PUNCT
cana-1459	107	17	…	…	PUNCT
cana-1459	108	1	𝑍𝑚	𝑍𝑚	PROPN
cana-1459	108	2	are	be	AUX
cana-1459	108	3	extracted	extract	VERB
cana-1459	108	4	from	from	ADP
cana-1459	108	5	the	the	DET
cana-1459	108	6	image	image	NOUN
cana-1459	108	7	.	.	PUNCT
cana-1459	109	1	𝑍11	𝑍11	PROPN
cana-1459	110	1	𝑍12	𝑍12	PROPN
cana-1459	110	2	𝑍13	𝑍13	PROPN
cana-1459	110	3	𝑍21	𝑍21	PROPN
cana-1459	110	4	𝑍𝑖,𝑗	𝑍𝑖,𝑗	PROPN
cana-1459	110	5	𝑍23	𝑍23	PROPN
cana-1459	111	1	𝑍31	𝑍31	PROPN
cana-1459	111	2	𝑍32	𝑍32	PROPN
cana-1459	111	3	𝑍33	𝑍33	VERB
cana-1459	111	4	figure	figure	NOUN
cana-1459	111	5	3	3	NUM
cana-1459	111	6	.	.	NOUN
cana-1459	111	7	3×3	3×3	NUM
cana-1459	111	8	square	square	ADJ
cana-1459	111	9	neighborhood	neighborhood	NOUN
cana-1459	111	10	window	window	NOUN
cana-1459	111	11	the	the	DET
cana-1459	111	12	3x3	3x3	NUM
cana-1459	111	13	filtering	filtering	NOUN
cana-1459	111	14	window	window	NOUN
cana-1459	111	15	with	with	ADP
cana-1459	111	16	the	the	DET
cana-1459	111	17	picture	picture	NOUN
cana-1459	111	18	pixels	pixel	NOUN
cana-1459	111	19	arranged	arrange	VERB
cana-1459	111	20	according	accord	VERB
cana-1459	111	21	to	to	ADP
cana-1459	111	22	rows	row	NOUN
cana-1459	111	23	(	(	PUNCT
cana-1459	111	24	i	i	NOUN
cana-1459	111	25	)	)	PUNCT
cana-1459	111	26	and	and	CCONJ
cana-1459	111	27	columns	column	NOUN
cana-1459	111	28	(	(	PUNCT
cana-1459	111	29	j	j	NOUN
cana-1459	111	30	)	)	PUNCT
cana-1459	111	31	is	be	AUX
cana-1459	111	32	shown	show	VERB
cana-1459	111	33	in	in	ADP
cana-1459	111	34	figure	figure	NOUN
cana-1459	111	35	3	3	NUM
cana-1459	111	36	.	.	PUNCT
cana-1459	112	1	the	the	DET
cana-1459	112	2	values	value	NOUN
cana-1459	112	3	of	of	ADP
cana-1459	112	4	the	the	DET
cana-1459	112	5	centre	centre	NOUN
cana-1459	112	6	pixel	pixel	NOUN
cana-1459	112	7	are	be	AUX
cana-1459	112	8	taken	take	VERB
cana-1459	112	9	and	and	CCONJ
cana-1459	112	10	the	the	DET
cana-1459	112	11	numbers	number	NOUN
cana-1459	112	12	of	of	ADP
cana-1459	112	13	pixels	pixel	NOUN
cana-1459	112	14	are	be	AUX
cana-1459	112	15	organised	organise	VERB
cana-1459	112	16	in	in	ADP
cana-1459	112	17	ascending	ascend	VERB
cana-1459	112	18	order	order	NOUN
cana-1459	112	19	.	.	PUNCT
cana-1459	113	1	the	the	DET
cana-1459	113	2	centre	centre	NOUN
cana-1459	113	3	pixel	pixel	NOUN
cana-1459	113	4	is	be	AUX
cana-1459	113	5	determined	determine	VERB
cana-1459	113	6	by	by	ADP
cana-1459	113	7	taking	take	VERB
cana-1459	113	8	the	the	DET
cana-1459	113	9	average	average	NOUN
cana-1459	113	10	of	of	ADP
cana-1459	113	11	these	these	DET
cana-1459	113	12	two	two	NUM
cana-1459	113	13	pixels	pixel	NOUN
cana-1459	113	14	if	if	SCONJ
cana-1459	113	15	there	there	PRON
cana-1459	113	16	are	be	VERB
cana-1459	113	17	any	any	DET
cana-1459	113	18	even	even	ADV
cana-1459	113	19	neighbourhood	neighbourhood	NOUN
cana-1459	113	20	pixels	pixel	NOUN
cana-1459	113	21	.	.	PUNCT
cana-1459	114	1	the	the	DET
cana-1459	114	2	laplacian	laplacian	ADJ
cana-1459	114	3	kernel	kernel	PROPN
cana-1459	114	4	function	function	NOUN
cana-1459	114	5	is	be	AUX
cana-1459	114	6	used	use	VERB
cana-1459	114	7	to	to	PART
cana-1459	114	8	represent	represent	VERB
cana-1459	114	9	the	the	DET
cana-1459	114	10	gamma	gamma	NOUN
cana-1459	114	11	map	map	NOUN
cana-1459	114	12	filter	filter	NOUN
cana-1459	114	13	's	's	PART
cana-1459	114	14	output	output	NOUN
cana-1459	114	15	,	,	PUNCT
cana-1459	114	16	which	which	PRON
cana-1459	114	17	measures	measure	VERB
cana-1459	114	18	the	the	DET
cana-1459	114	19	probability	probability	NOUN
cana-1459	114	20	between	between	ADP
cana-1459	114	21	the	the	DET
cana-1459	114	22	pixels	pixel	NOUN
cana-1459	114	23	.	.	PUNCT
cana-1459	115	1	the	the	DET
cana-1459	115	2	laplacian	laplacian	ADJ
cana-1459	115	3	kernel	kernel	NOUN
cana-1459	115	4	function	function	NOUN
cana-1459	115	5	is	be	AUX
cana-1459	115	6	formulated	formulate	VERB
cana-1459	115	7	as	as	SCONJ
cana-1459	115	8	follows	follow	VERB
cana-1459	115	9	,	,	PUNCT
cana-1459	115	10	𝐿(𝑍𝑖𝑗	𝐿(𝑍𝑖𝑗	PROPN
cana-1459	115	11	,	,	PUNCT
cana-1459	115	12	𝑚	𝑚	NOUN
cana-1459	115	13	)	)	PUNCT
cana-1459	116	1	=	=	PUNCT
cana-1459	116	2	𝑒𝑥𝑝	𝑒𝑥𝑝	INTJ
cana-1459	116	3	(	(	PUNCT
cana-1459	116	4	|𝑍𝑖𝑗−𝑚|	|𝑍𝑖𝑗−𝑚|	NOUN
cana-1459	116	5	𝜗	𝜗	NOUN
cana-1459	116	6	)	)	PUNCT
cana-1459	116	7	(	(	PUNCT
cana-1459	116	8	1	1	X
cana-1459	116	9	)	)	PUNCT
cana-1459	116	10	where	where	SCONJ
cana-1459	116	11	,	,	PUNCT
cana-1459	116	12	𝐿(𝑍𝑐	𝐿(𝑍𝑐	NUM
cana-1459	116	13	,	,	PUNCT
cana-1459	116	14	𝑍𝑛𝑛)indicates	𝑍𝑛𝑛)indicate	VERB
cana-1459	116	15	a	a	DET
cana-1459	116	16	laplacian	laplacian	ADJ
cana-1459	116	17	kernel	kernel	NOUN
cana-1459	116	18	function	function	NOUN
cana-1459	116	19	,	,	PUNCT
cana-1459	116	20	𝑍𝑖𝑗	𝑍𝑖𝑗	PROPN
cana-1459	116	21	denotes	denote	VERB
cana-1459	116	22	a	a	DET
cana-1459	116	23	pixels	pixel	NOUN
cana-1459	116	24	in	in	ADP
cana-1459	116	25	filtering	filtering	ADJ
cana-1459	116	26	window	window	NOUN
cana-1459	116	27	,	,	PUNCT
cana-1459	116	28	𝑚	𝑚	PROPN
cana-1459	116	29	denotes	denote	VERB
cana-1459	116	30	a	a	DET
cana-1459	116	31	mean	mean	NOUN
cana-1459	116	32	,	,	PUNCT
cana-1459	116	33	𝜗	𝜗	PROPN
cana-1459	116	34	denotes	denote	VERB
cana-1459	116	35	a	a	DET
cana-1459	116	36	standard	standard	ADJ
cana-1459	116	37	deviation	deviation	NOUN
cana-1459	116	38	.	.	PUNCT
cana-1459	117	1	from	from	ADP
cana-1459	117	2	the	the	DET
cana-1459	117	3	analysis	analysis	NOUN
cana-1459	117	4	,	,	PUNCT
cana-1459	117	5	the	the	DET
cana-1459	117	6	pixels	pixel	NOUN
cana-1459	117	7	that	that	PRON
cana-1459	117	8	dataset	dataset	VERB
cana-1459	117	9	palm	palm	NOUN
cana-1459	117	10	image	image	NOUN
cana-1459	117	11	laplacian	laplacian	PROPN
cana-1459	117	12	kernel	kernel	PROPN
cana-1459	117	13	gamma	gamma	PROPN
cana-1459	117	14	map	map	NOUN
cana-1459	117	15	filter	filter	NOUN
cana-1459	117	16	preprocessed	preprocesse	VERB
cana-1459	117	17	images	image	NOUN
cana-1459	117	18	arrange	arrange	VERB
cana-1459	117	19	the	the	DET
cana-1459	117	20	pixels	pixel	NOUN
cana-1459	117	21	in	in	ADP
cana-1459	117	22	filtering	filter	VERB
cana-1459	117	23	window	window	NOUN
cana-1459	117	24	apply	apply	VERB
cana-1459	117	25	laplacian	laplacian	ADJ
cana-1459	117	26	kernel	kernel	NOUN
cana-1459	117	27	between	between	ADP
cana-1459	117	28	the	the	DET
cana-1459	117	29	pixels	pixel	NOUN
cana-1459	117	30	communications	communication	NOUN
cana-1459	117	31	on	on	ADP
cana-1459	117	32	applied	apply	VERB
cana-1459	117	33	nonlinear	nonlinear	ADJ
cana-1459	117	34	analysis	analysis	NOUN
cana-1459	117	35	issn	issn	NOUN
cana-1459	117	36	:	:	PUNCT
cana-1459	117	37	1074	1074	NUM
cana-1459	117	38	-	-	PUNCT
cana-1459	117	39	133x	133x	NUM
cana-1459	117	40	vol	vol	NOUN
cana-1459	117	41	31	31	NUM
cana-1459	117	42	no	no	NOUN
cana-1459	117	43	.	.	PUNCT
cana-1459	118	1	8s	8s	PROPN
cana-1459	118	2	(	(	PUNCT
cana-1459	118	3	2024	2024	NUM
cana-1459	118	4	)	)	PUNCT
cana-1459	118	5	101	101	NUM
cana-1459	118	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1459	118	7	deviated	deviate	VERB
cana-1459	118	8	from	from	ADP
cana-1459	118	9	the	the	DET
cana-1459	118	10	local	local	ADJ
cana-1459	118	11	mean	mean	NOUN
cana-1459	118	12	value	value	NOUN
cana-1459	118	13	is	be	AUX
cana-1459	118	14	filtered	filter	VERB
cana-1459	118	15	.	.	PUNCT
cana-1459	119	1	finally	finally	ADV
cana-1459	119	2	,	,	PUNCT
cana-1459	119	3	the	the	DET
cana-1459	119	4	quality	quality	NOUN
cana-1459	119	5	improved	improve	VERB
cana-1459	119	6	images	image	NOUN
cana-1459	119	7	are	be	AUX
cana-1459	119	8	obtained	obtain	VERB
cana-1459	119	9	for	for	ADP
cana-1459	119	10	increasing	increase	VERB
cana-1459	119	11	the	the	DET
cana-1459	119	12	brain	brain	NOUN
cana-1459	119	13	tumor	tumor	NOUN
cana-1459	119	14	detection	detection	NOUN
cana-1459	119	15	accuracy	accuracy	NOUN
cana-1459	119	16	.	.	PUNCT
cana-1459	120	1	the	the	DET
cana-1459	120	2	algorithm	algorithm	NOUN
cana-1459	120	3	of	of	ADP
cana-1459	120	4	laplacian	laplacian	ADJ
cana-1459	120	5	kernel	kernel	PROPN
cana-1459	120	6	gamma	gamma	PROPN
cana-1459	120	7	map	map	NOUN
cana-1459	120	8	filtering	filtering	NOUN
cana-1459	120	9	based	base	VERB
cana-1459	120	10	image	image	NOUN
cana-1459	120	11	denoising	denoising	NOUN
cana-1459	120	12	is	be	AUX
cana-1459	120	13	illustrated	illustrate	VERB
cana-1459	120	14	as	as	SCONJ
cana-1459	120	15	follows	follow	VERB
cana-1459	120	16	,	,	PUNCT
cana-1459	120	17	algorithm	algorithm	NOUN
cana-1459	120	18	1	1	NUM
cana-1459	120	19	:	:	PUNCT
cana-1459	120	20	laplacian	laplacian	ADJ
cana-1459	120	21	kernel	kernel	PROPN
cana-1459	120	22	gamma	gamma	PROPN
cana-1459	120	23	map	map	NOUN
cana-1459	120	24	filtering	filter	VERB
cana-1459	120	25	based	base	VERB
cana-1459	120	26	image	image	NOUN
cana-1459	120	27	preprocessing	preprocesse	VERB
cana-1459	120	28	input	input	NOUN
cana-1459	120	29	:	:	PUNCT
cana-1459	121	1	dataset	dataset	NOUN
cana-1459	121	2	,	,	PUNCT
cana-1459	121	3	number	number	NOUN
cana-1459	121	4	of	of	ADP
cana-1459	121	5	palm	palm	NOUN
cana-1459	121	6	images	image	NOUN
cana-1459	121	7	𝑷𝑰𝟏	𝑷𝑰𝟏	PROPN
cana-1459	121	8	,	,	PUNCT
cana-1459	121	9	𝑷𝑰𝟐	𝑷𝑰𝟐	PROPN
cana-1459	121	10	,	,	PUNCT
cana-1459	121	11	𝑷𝑰𝟑	𝑷𝑰𝟑	PROPN
cana-1459	121	12	,	,	PUNCT
cana-1459	121	13	…	…	PUNCT
cana-1459	121	14	.	.	PUNCT
cana-1459	122	1	,	,	PUNCT
cana-1459	122	2	𝑷𝑰𝒏	𝑷𝑰𝒏	NOUN
cana-1459	122	3	output	output	NOUN
cana-1459	122	4	:	:	PUNCT
cana-1459	122	5	preprocessed	preprocesse	VERB
cana-1459	122	6	image	image	NOUN
cana-1459	122	7	begin	begin	VERB
cana-1459	122	8	step	step	NOUN
cana-1459	122	9	1	1	NUM
cana-1459	122	10	:	:	PUNCT
cana-1459	122	11	collect	collect	VERB
cana-1459	122	12	number	number	NOUN
cana-1459	122	13	of	of	ADP
cana-1459	122	14	palm	palm	NOUN
cana-1459	122	15	images	image	NOUN
cana-1459	122	16	𝑷𝑰𝟏	𝑷𝑰𝟏	PROPN
cana-1459	122	17	,	,	PUNCT
cana-1459	122	18	𝑷𝑰𝟐	𝑷𝑰𝟐	PROPN
cana-1459	122	19	,	,	PUNCT
cana-1459	122	20	𝑷𝑰𝟑	𝑷𝑰𝟑	PROPN
cana-1459	122	21	,	,	PUNCT
cana-1459	122	22	…	…	PUNCT
cana-1459	122	23	.	.	PUNCT
cana-1459	123	1	,	,	PUNCT
cana-1459	123	2	𝑷𝑰𝒏	𝑷𝑰𝒏	NOUN
cana-1459	123	3	from	from	ADP
cana-1459	123	4	dataset	dataset	ADJ
cana-1459	123	5	step	step	NOUN
cana-1459	123	6	2	2	NUM
cana-1459	123	7	:	:	PUNCT
cana-1459	123	8	for	for	ADP
cana-1459	123	9	each	each	DET
cana-1459	123	10	input	input	NOUN
cana-1459	123	11	palm	palm	NOUN
cana-1459	123	12	image	image	NOUN
cana-1459	123	13	(	(	PUNCT
cana-1459	123	14	𝑷𝑰𝒊	𝑷𝑰𝒊	NOUN
cana-1459	123	15	)	)	PUNCT
cana-1459	123	16	step	step	NOUN
cana-1459	123	17	3	3	NUM
cana-1459	123	18	:	:	PUNCT
cana-1459	123	19	arrange	arrange	VERB
cana-1459	123	20	the	the	DET
cana-1459	123	21	pixels	pixel	NOUN
cana-1459	123	22	in	in	ADP
cana-1459	123	23	an	an	DET
cana-1459	123	24	filter	filter	NOUN
cana-1459	123	25	window	window	NOUN
cana-1459	123	26	step	step	NOUN
cana-1459	123	27	4	4	NUM
cana-1459	123	28	:	:	PUNCT
cana-1459	123	29	compute	compute	VERB
cana-1459	123	30	the	the	DET
cana-1459	123	31	maximum	maximum	ADJ
cana-1459	123	32	likelihood	likelihood	NOUN
cana-1459	123	33	using	use	VERB
cana-1459	123	34	(	(	PUNCT
cana-1459	123	35	1	1	X
cana-1459	123	36	)	)	PUNCT
cana-1459	123	37	step	step	NOUN
cana-1459	123	38	5	5	NUM
cana-1459	123	39	:	:	PUNCT
cana-1459	123	40	find	find	VERB
cana-1459	123	41	noisy	noisy	ADJ
cana-1459	123	42	pixels	pixel	NOUN
cana-1459	123	43	using	use	VERB
cana-1459	123	44	step	step	NOUN
cana-1459	123	45	6	6	NUM
cana-1459	123	46	:	:	PUNCT
cana-1459	123	47	remove	remove	VERB
cana-1459	123	48	noisy	noisy	ADJ
cana-1459	123	49	pixels	pixel	NOUN
cana-1459	123	50	step	step	NOUN
cana-1459	123	51	7	7	NUM
cana-1459	123	52	:	:	PUNCT
cana-1459	123	53	end	end	NOUN
cana-1459	123	54	for	for	ADP
cana-1459	123	55	step	step	NOUN
cana-1459	123	56	8	8	NUM
cana-1459	123	57	:	:	PUNCT
cana-1459	123	58	return	return	NOUN
cana-1459	123	59	(	(	PUNCT
cana-1459	123	60	preprocessed	preprocesse	VERB
cana-1459	123	61	image	image	NOUN
cana-1459	123	62	)	)	PUNCT
cana-1459	123	63	end	end	NOUN
cana-1459	123	64	algorithm	algorithm	NOUN
cana-1459	123	65	1	1	NUM
cana-1459	123	66	outlines	outline	VERB
cana-1459	123	67	the	the	DET
cana-1459	123	68	image	image	NOUN
cana-1459	123	69	denoising	denoising	NOUN
cana-1459	123	70	process	process	NOUN
cana-1459	123	71	aimed	aim	VERB
cana-1459	123	72	at	at	ADP
cana-1459	123	73	enhancing	enhance	VERB
cana-1459	123	74	the	the	DET
cana-1459	123	75	image	image	NOUN
cana-1459	123	76	quality	quality	NOUN
cana-1459	123	77	.	.	PUNCT
cana-1459	124	1	the	the	DET
cana-1459	124	2	initial	initial	ADJ
cana-1459	124	3	step	step	NOUN
cana-1459	124	4	involves	involve	VERB
cana-1459	124	5	collecting	collect	VERB
cana-1459	124	6	the	the	DET
cana-1459	124	7	palm	palm	NOUN
cana-1459	124	8	images	image	NOUN
cana-1459	124	9	from	from	ADP
cana-1459	124	10	the	the	DET
cana-1459	124	11	dataset	dataset	NOUN
cana-1459	124	12	.	.	PUNCT
cana-1459	125	1	subsequently	subsequently	ADV
cana-1459	125	2	,	,	PUNCT
cana-1459	125	3	the	the	DET
cana-1459	125	4	image	image	NOUN
cana-1459	125	5	pixels	pixel	NOUN
cana-1459	125	6	are	be	AUX
cana-1459	125	7	organized	organize	VERB
cana-1459	125	8	within	within	ADP
cana-1459	125	9	a	a	DET
cana-1459	125	10	filtering	filtering	NOUN
cana-1459	125	11	window.the	window.the	DET
cana-1459	125	12	likelihood	likelihood	NOUN
cana-1459	125	13	between	between	ADP
cana-1459	125	14	the	the	DET
cana-1459	125	15	pixels	pixel	NOUN
cana-1459	125	16	and	and	CCONJ
cana-1459	125	17	the	the	DET
cana-1459	125	18	mean	mean	ADJ
cana-1459	125	19	value	value	NOUN
cana-1459	125	20	is	be	AUX
cana-1459	125	21	estimated	estimate	VERB
cana-1459	125	22	using	use	VERB
cana-1459	125	23	the	the	DET
cana-1459	125	24	laplacian	laplacian	ADJ
cana-1459	125	25	kernel	kernel	NOUN
cana-1459	125	26	.	.	PUNCT
cana-1459	126	1	pixels	pixel	NOUN
cana-1459	126	2	that	that	PRON
cana-1459	126	3	significantly	significantly	ADV
cana-1459	126	4	deviate	deviate	VERB
cana-1459	126	5	from	from	ADP
cana-1459	126	6	this	this	DET
cana-1459	126	7	mean	mean	ADJ
cana-1459	126	8	value	value	NOUN
cana-1459	126	9	are	be	AUX
cana-1459	126	10	identified	identify	VERB
cana-1459	126	11	as	as	ADP
cana-1459	126	12	noisy	noisy	ADJ
cana-1459	126	13	and	and	CCONJ
cana-1459	126	14	consequently	consequently	ADV
cana-1459	126	15	removed	remove	VERB
cana-1459	126	16	from	from	ADP
cana-1459	126	17	the	the	DET
cana-1459	126	18	image	image	NOUN
cana-1459	126	19	.	.	PUNCT
cana-1459	127	1	as	as	ADP
cana-1459	127	2	a	a	DET
cana-1459	127	3	result	result	NOUN
cana-1459	127	4	,	,	PUNCT
cana-1459	127	5	the	the	DET
cana-1459	127	6	algorithm	algorithm	NOUN
cana-1459	127	7	produces	produce	VERB
cana-1459	127	8	enhanced	enhance	VERB
cana-1459	127	9	image	image	NOUN
cana-1459	127	10	quality	quality	NOUN
cana-1459	127	11	.	.	PUNCT
cana-1459	128	1	3.2	3.2	NUM
cana-1459	128	2	roi	roi	NOUN
cana-1459	128	3	(	(	PUNCT
cana-1459	128	4	region	region	NOUN
cana-1459	128	5	of	of	ADP
cana-1459	128	6	interest	interest	NOUN
cana-1459	128	7	)	)	PUNCT
cana-1459	128	8	extraction	extraction	NOUN
cana-1459	128	9	is	be	AUX
cana-1459	128	10	performed	perform	VERB
cana-1459	128	11	using	use	VERB
cana-1459	128	12	ochiai	ochiai	ADJ
cana-1459	128	13	-	-	PUNCT
cana-1459	128	14	barkman	barkman	NOUN
cana-1459	128	15	segmented	segment	VERB
cana-1459	128	16	regression	regression	VERB
cana-1459	128	17	the	the	DET
cana-1459	128	18	extraction	extraction	NOUN
cana-1459	128	19	of	of	ADP
cana-1459	128	20	the	the	DET
cana-1459	128	21	region	region	NOUN
cana-1459	128	22	of	of	ADP
cana-1459	128	23	interest	interest	NOUN
cana-1459	128	24	(	(	PUNCT
cana-1459	128	25	roi	roi	NOUN
cana-1459	128	26	)	)	PUNCT
cana-1459	128	27	involves	involve	VERB
cana-1459	128	28	identifying	identify	VERB
cana-1459	128	29	and	and	CCONJ
cana-1459	128	30	separating	separate	VERB
cana-1459	128	31	particular	particular	ADJ
cana-1459	128	32	areas	area	NOUN
cana-1459	128	33	within	within	ADP
cana-1459	128	34	a	a	DET
cana-1459	128	35	palm	palm	NOUN
cana-1459	128	36	image	image	NOUN
cana-1459	128	37	for	for	ADP
cana-1459	128	38	further	further	ADJ
cana-1459	128	39	analysis	analysis	NOUN
cana-1459	128	40	.	.	PUNCT
cana-1459	129	1	roi	roi	NOUN
cana-1459	129	2	extraction	extraction	NOUN
cana-1459	129	3	plays	play	VERB
cana-1459	129	4	a	a	DET
cana-1459	129	5	vital	vital	ADJ
cana-1459	129	6	role	role	NOUN
cana-1459	129	7	in	in	ADP
cana-1459	129	8	reducing	reduce	VERB
cana-1459	129	9	computational	computational	ADJ
cana-1459	129	10	time	time	NOUN
cana-1459	129	11	and	and	CCONJ
cana-1459	129	12	improving	improve	VERB
cana-1459	129	13	the	the	DET
cana-1459	129	14	efficiency	efficiency	NOUN
cana-1459	129	15	of	of	ADP
cana-1459	129	16	palmprint	palmprint	NOUN
cana-1459	129	17	detection	detection	NOUN
cana-1459	129	18	.	.	PUNCT
cana-1459	130	1	ochiai	ochiai	ADJ
cana-1459	130	2	-	-	PUNCT
cana-1459	130	3	barkman	barkman	NOUN
cana-1459	130	4	segmented	segment	VERB
cana-1459	130	5	regression	regression	NOUN
cana-1459	130	6	is	be	AUX
cana-1459	130	7	a	a	DET
cana-1459	130	8	machine	machine	NOUN
cana-1459	130	9	learning	learning	NOUN
cana-1459	130	10	technique	technique	NOUN
cana-1459	130	11	to	to	ADP
cana-1459	130	12	segment	segment	NOUN
cana-1459	130	13	theroi	theroi	NOUN
cana-1459	130	14	from	from	ADP
cana-1459	130	15	the	the	DET
cana-1459	130	16	input	input	NOUN
cana-1459	130	17	palm	palm	NOUN
cana-1459	130	18	image	image	NOUN
cana-1459	130	19	by	by	ADP
cana-1459	130	20	measuring	measure	VERB
cana-1459	130	21	the	the	DET
cana-1459	130	22	relationship	relationship	NOUN
cana-1459	130	23	between	between	ADP
cana-1459	130	24	the	the	DET
cana-1459	130	25	pixels	pixel	NOUN
cana-1459	130	26	.	.	PUNCT
cana-1459	131	1	the	the	DET
cana-1459	131	2	roi	roi	NOUN
cana-1459	131	3	extraction	extraction	NOUN
cana-1459	131	4	is	be	AUX
cana-1459	131	5	performed	perform	VERB
cana-1459	131	6	using	use	VERB
cana-1459	131	7	pixel	pixel	ADJ
cana-1459	131	8	-	-	PUNCT
cana-1459	131	9	level	level	NOUN
cana-1459	131	10	segmentation	segmentation	NOUN
cana-1459	131	11	.	.	PUNCT
cana-1459	132	1	let	let	VERB
cana-1459	132	2	us	we	PRON
cana-1459	132	3	consider	consider	VERB
cana-1459	132	4	the	the	DET
cana-1459	132	5	number	number	NOUN
cana-1459	132	6	of	of	ADP
cana-1459	132	7	pixels	pixel	NOUN
cana-1459	132	8	in	in	ADP
cana-1459	132	9	an	an	DET
cana-1459	132	10	palm	palm	NOUN
cana-1459	132	11	images𝑍1,𝑍2	images𝑍1,𝑍2	NOUN
cana-1459	132	12	,	,	PUNCT
cana-1459	132	13	𝑍3	𝑍3	NOUN
cana-1459	132	14	,	,	PUNCT
cana-1459	132	15	…	…	PUNCT
cana-1459	133	1	𝑍𝑚	𝑍𝑚	INTJ
cana-1459	133	2	.	.	PUNCT
cana-1459	134	1	the	the	DET
cana-1459	134	2	similarity	similarity	NOUN
cana-1459	134	3	between	between	ADP
cana-1459	134	4	the	the	DET
cana-1459	134	5	pixels	pixel	NOUN
cana-1459	134	6	is	be	AUX
cana-1459	134	7	measured	measure	VERB
cana-1459	134	8	as	as	ADP
cana-1459	134	9	given	give	VERB
cana-1459	134	10	below	below	ADV
cana-1459	134	11	.	.	PUNCT
cana-1459	135	1	ochiai	ochiai	ADJ
cana-1459	135	2	-	-	PUNCT
cana-1459	135	3	barkman	barkman	NOUN
cana-1459	135	4	coefficient	coefficient	NOUN
cana-1459	135	5	is	be	AUX
cana-1459	135	6	applied	apply	VERB
cana-1459	135	7	for	for	ADP
cana-1459	135	8	measuring	measure	VERB
cana-1459	135	9	the	the	DET
cana-1459	135	10	similarity	similarity	NOUN
cana-1459	135	11	between	between	ADP
cana-1459	135	12	as	as	SCONJ
cana-1459	135	13	given	give	VERB
cana-1459	135	14	below	below	ADP
cana-1459	135	15	,	,	PUNCT
cana-1459	135	16	communications	communication	NOUN
cana-1459	135	17	on	on	ADP
cana-1459	135	18	applied	apply	VERB
cana-1459	135	19	nonlinear	nonlinear	ADJ
cana-1459	135	20	analysis	analysis	NOUN
cana-1459	135	21	issn	issn	NOUN
cana-1459	135	22	:	:	PUNCT
cana-1459	135	23	1074	1074	NUM
cana-1459	135	24	-	-	PUNCT
cana-1459	135	25	133x	133x	NUM
cana-1459	135	26	vol	vol	NOUN
cana-1459	135	27	31	31	NUM
cana-1459	135	28	no	no	NOUN
cana-1459	135	29	.	.	PUNCT
cana-1459	136	1	8s	8s	PROPN
cana-1459	136	2	(	(	PUNCT
cana-1459	136	3	2024	2024	NUM
cana-1459	136	4	)	)	PUNCT
cana-1459	136	5	102	102	NUM
cana-1459	136	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	136	7	𝑄	𝑄	PROPN
cana-1459	136	8	(	(	PUNCT
cana-1459	136	9	𝑃𝐼𝑖	𝑃𝐼𝑖	NOUN
cana-1459	136	10	,	,	PUNCT
cana-1459	136	11	𝑃𝐼𝑗	𝑃𝐼𝑗	NOUN
cana-1459	136	12	)	)	PUNCT
cana-1459	136	13	=	=	PUNCT
cana-1459	136	14	|𝑍𝑖⋂𝑍𝑗|	|𝑍𝑖⋂𝑍𝑗|	NUM
cana-1459	136	15	√∑	√∑	ADV
cana-1459	137	1	𝑍𝑖	𝑍𝑖	PROPN
cana-1459	137	2	2√∑	2√∑	NUM
cana-1459	137	3	𝑍𝑗	𝑍𝑗	PROPN
cana-1459	137	4	2	2	NUM
cana-1459	137	5	(	(	PUNCT
cana-1459	137	6	2	2	NUM
cana-1459	137	7	)	)	PUNCT
cana-1459	137	8	where	where	SCONJ
cana-1459	137	9	,	,	PUNCT
cana-1459	137	10	𝑄	𝑄	PRON
cana-1459	137	11	denotes	denote	VERB
cana-1459	137	12	an	an	DET
cana-1459	137	13	ochiai	ochiai	ADJ
cana-1459	137	14	-	-	PUNCT
cana-1459	137	15	barkman	barkman	NOUN
cana-1459	137	16	similarity	similarity	NOUN
cana-1459	137	17	coefficient	coefficient	NOUN
cana-1459	137	18	,	,	PUNCT
cana-1459	137	19	⋂	⋂	PROPN
cana-1459	137	20	denotes	denote	VERB
cana-1459	137	21	a	a	DET
cana-1459	137	22	mutual	mutual	ADJ
cana-1459	137	23	dependence	dependence	NOUN
cana-1459	137	24	between	between	ADP
cana-1459	137	25	the	the	DET
cana-1459	137	26	two	two	NUM
cana-1459	137	27	pixels	pixel	NOUN
cana-1459	137	28	,	,	PUNCT
cana-1459	137	29	∑	∑	PUNCT
cana-1459	137	30	𝑍𝑖	𝑍𝑖	PROPN
cana-1459	137	31	2	2	NUM
cana-1459	137	32	symbolizes	symbolize	VERB
cana-1459	137	33	a	a	DET
cana-1459	137	34	squared	squared	ADJ
cana-1459	137	35	score	score	NOUN
cana-1459	137	36	of	of	ADP
cana-1459	137	37	𝑍𝑖	𝑍𝑖	PROPN
cana-1459	137	38	,	,	PUNCT
cana-1459	137	39	√∑	√∑	ADV
cana-1459	137	40	𝑍𝑗	𝑍𝑗	PROPN
cana-1459	137	41	2	2	NUM
cana-1459	137	42	denotes	denote	VERB
cana-1459	137	43	a	a	DET
cana-1459	137	44	signifies	signifie	NOUN
cana-1459	137	45	a	a	DET
cana-1459	137	46	squared	squared	ADJ
cana-1459	137	47	score	score	NOUN
cana-1459	137	48	of	of	ADP
cana-1459	137	49	𝑍𝑗.	𝑍𝑗.	PROPN
cana-1459	137	50	based	base	VERB
cana-1459	137	51	on	on	ADP
cana-1459	137	52	the	the	DET
cana-1459	137	53	similarity	similarity	NOUN
cana-1459	137	54	measure	measure	NOUN
cana-1459	137	55	,	,	PUNCT
cana-1459	137	56	similar	similar	ADJ
cana-1459	137	57	pixels	pixel	NOUN
cana-1459	137	58	are	be	AUX
cana-1459	137	59	identified	identify	VERB
cana-1459	137	60	and	and	CCONJ
cana-1459	137	61	extract	extract	VERB
cana-1459	137	62	the	the	DET
cana-1459	137	63	region	region	NOUN
cana-1459	137	64	of	of	ADP
cana-1459	137	65	interest	interest	NOUN
cana-1459	137	66	.	.	PUNCT
cana-1459	138	1	as	as	ADP
cana-1459	138	2	a	a	DET
cana-1459	138	3	result	result	NOUN
cana-1459	138	4	,	,	PUNCT
cana-1459	138	5	the	the	DET
cana-1459	138	6	central	central	ADJ
cana-1459	138	7	part	part	NOUN
cana-1459	138	8	of	of	ADP
cana-1459	138	9	the	the	DET
cana-1459	138	10	palm	palm	NOUN
cana-1459	138	11	images	image	NOUN
cana-1459	138	12	is	be	AUX
cana-1459	138	13	extracted	extract	VERB
cana-1459	138	14	with	with	ADP
cana-1459	138	15	bounding	bounding	NOUN
cana-1459	138	16	box	box	NOUN
cana-1459	138	17	.	.	PUNCT
cana-1459	139	1	followed	follow	VERB
cana-1459	139	2	by	by	ADP
cana-1459	139	3	different	different	ADJ
cana-1459	139	4	features	feature	NOUN
cana-1459	139	5	such	such	ADJ
cana-1459	139	6	as	as	ADP
cana-1459	139	7	principal	principal	ADJ
cana-1459	139	8	lines	line	NOUN
cana-1459	139	9	,	,	PUNCT
cana-1459	139	10	wrinkles	wrinkle	NOUN
cana-1459	139	11	,	,	PUNCT
cana-1459	139	12	ridges	ridge	NOUN
cana-1459	139	13	,	,	PUNCT
cana-1459	139	14	minutiae	minutiae	NOUN
cana-1459	139	15	points	point	NOUN
cana-1459	139	16	,	,	PUNCT
cana-1459	139	17	singular	singular	ADJ
cana-1459	139	18	points	point	NOUN
cana-1459	139	19	,	,	PUNCT
cana-1459	139	20	and	and	CCONJ
cana-1459	139	21	texture	texture	NOUN
cana-1459	139	22	features	feature	NOUN
cana-1459	139	23	are	be	AUX
cana-1459	139	24	extracted	extract	VERB
cana-1459	139	25	from	from	ADP
cana-1459	139	26	the	the	DET
cana-1459	139	27	roi	roi	NOUN
cana-1459	139	28	.	.	PUNCT
cana-1459	140	1	first	first	ADV
cana-1459	140	2	,	,	PUNCT
cana-1459	140	3	roi	roi	NOUN
cana-1459	140	4	of	of	ADP
cana-1459	140	5	the	the	DET
cana-1459	140	6	palm	palm	NOUN
cana-1459	140	7	images	image	NOUN
cana-1459	140	8	are	be	AUX
cana-1459	140	9	decomposed	decompose	VERB
cana-1459	140	10	into	into	ADP
cana-1459	140	11	multi	multi	ADJ
cana-1459	140	12	-	-	ADJ
cana-1459	140	13	scale	scale	ADJ
cana-1459	140	14	wavelet	wavelet	NOUN
cana-1459	140	15	sub	sub	NOUN
cana-1459	140	16	-	-	NOUN
cana-1459	140	17	images	image	NOUN
cana-1459	140	18	using	use	VERB
cana-1459	140	19	wavelet	wavelet	NOUN
cana-1459	140	20	packet	packet	NOUN
cana-1459	140	21	transform	transform	NOUN
cana-1459	140	22	(	(	PUNCT
cana-1459	140	23	wpt	wpt	PROPN
cana-1459	140	24	)	)	PUNCT
cana-1459	140	25	.	.	PUNCT
cana-1459	141	1	thewptis	thewptis	NOUN
cana-1459	141	2	types	type	NOUN
cana-1459	141	3	of	of	ADP
cana-1459	141	4	discrete	discrete	ADJ
cana-1459	141	5	wavelet	wavelet	NOUN
cana-1459	141	6	transform	transform	NOUN
cana-1459	141	7	by	by	ADP
cana-1459	141	8	allowing	allow	VERB
cana-1459	141	9	more	more	ADV
cana-1459	141	10	flexible	flexible	ADJ
cana-1459	141	11	decomposition	decomposition	NOUN
cana-1459	141	12	of	of	ADP
cana-1459	141	13	the	the	DET
cana-1459	141	14	image	image	NOUN
cana-1459	141	15	into	into	ADP
cana-1459	141	16	different	different	ADJ
cana-1459	141	17	subbands	subband	NOUN
cana-1459	141	18	.	.	PUNCT
cana-1459	142	1	it	it	PRON
cana-1459	142	2	provides	provide	VERB
cana-1459	142	3	a	a	DET
cana-1459	142	4	richer	rich	ADJ
cana-1459	142	5	representation	representation	NOUN
cana-1459	142	6	of	of	ADP
cana-1459	142	7	the	the	DET
cana-1459	142	8	feature	feature	NOUN
cana-1459	142	9	content	content	NOUN
cana-1459	142	10	.	.	PUNCT
cana-1459	143	1	figure	figure	VERB
cana-1459	143	2	4	4	NUM
cana-1459	143	3	process	process	NOUN
cana-1459	143	4	of	of	ADP
cana-1459	143	5	wavelet	wavelet	NOUN
cana-1459	143	6	packet	packet	NOUN
cana-1459	143	7	transform	transform	NOUN
cana-1459	143	8	figure	figure	NOUN
cana-1459	143	9	4	4	NUM
cana-1459	143	10	depicts	depict	VERB
cana-1459	143	11	the	the	DET
cana-1459	143	12	image	image	NOUN
cana-1459	143	13	decomposition	decomposition	NOUN
cana-1459	143	14	using	use	VERB
cana-1459	143	15	wavelet	wavelet	NOUN
cana-1459	143	16	packet	packet	NOUN
cana-1459	143	17	transform	transform	NOUN
cana-1459	143	18	.	.	PUNCT
cana-1459	144	1	the	the	DET
cana-1459	144	2	wavelet	wavelet	NOUN
cana-1459	144	3	transformation	transformation	NOUN
cana-1459	144	4	process	process	NOUN
cana-1459	144	5	is	be	AUX
cana-1459	144	6	expressed	express	VERB
cana-1459	144	7	as	as	ADP
cana-1459	144	8	follows	follow	VERB
cana-1459	144	9	,	,	PUNCT
cana-1459	144	10	𝜔	𝜔	X
cana-1459	144	11	(	(	PUNCT
cana-1459	144	12	𝑡	𝑡	NOUN
cana-1459	144	13	)	)	PUNCT
cana-1459	144	14	=	=	SYM
cana-1459	145	1	√2	√2	ADJ
cana-1459	145	2	∑	∑	PUNCT
cana-1459	145	3	𝑙𝑘	𝑙𝑘	PROPN
cana-1459	145	4	𝑀	𝑀	PROPN
cana-1459	145	5	𝑘=0	𝑘=0	VERB
cana-1459	145	6	𝜔𝑛(2𝑡	𝜔𝑛(2𝑡	CCONJ
cana-1459	145	7	−	−	PROPN
cana-1459	145	8	𝑘)(3	𝑘)(3	NOUN
cana-1459	145	9	)	)	PUNCT
cana-1459	145	10	𝜔	𝜔	PART
cana-1459	145	11	(	(	PUNCT
cana-1459	145	12	𝑡	𝑡	NOUN
cana-1459	145	13	)	)	PUNCT
cana-1459	145	14	=	=	SYM
cana-1459	146	1	√2	√2	NOUN
cana-1459	146	2	∑	∑	PUNCT
cana-1459	146	3	ℎ𝑘	ℎ𝑘	PROPN
cana-1459	146	4	𝑀	𝑀	PROPN
cana-1459	146	5	𝑘=0	𝑘=0	VERB
cana-1459	146	6	𝜔𝑛(2𝑡	𝜔𝑛(2𝑡	CCONJ
cana-1459	146	7	−	−	PROPN
cana-1459	146	8	𝑘)(4	𝑘)(4	PROPN
cana-1459	146	9	)	)	PUNCT
cana-1459	146	10	where	where	SCONJ
cana-1459	146	11	,	,	PUNCT
cana-1459	146	12	𝑙𝑘	𝑙𝑘	VERB
cana-1459	146	13	and	and	CCONJ
cana-1459	146	14	ℎ𝑘are	ℎ𝑘are	VERB
cana-1459	146	15	low	low	ADJ
cana-1459	146	16	-	-	PUNCT
cana-1459	146	17	pass	pass	NOUN
cana-1459	146	18	and	and	CCONJ
cana-1459	146	19	high	high	ADJ
cana-1459	146	20	-	-	PUNCT
cana-1459	146	21	pass	pass	NOUN
cana-1459	146	22	filters	filter	NOUN
cana-1459	146	23	coefficients	coefficient	NOUN
cana-1459	146	24	of	of	ADP
cana-1459	146	25	length	length	NOUN
cana-1459	146	26	m	m	PROPN
cana-1459	146	27	,	,	PUNCT
cana-1459	146	28	𝜔	𝜔	X
cana-1459	146	29	(	(	PUNCT
cana-1459	146	30	𝑡)indicates	𝑡)indicate	VERB
cana-1459	146	31	the	the	DET
cana-1459	146	32	wavelet	wavelet	NOUN
cana-1459	146	33	transform.in	transform.in	PRON
cana-1459	146	34	the	the	DET
cana-1459	146	35	level	level	NOUN
cana-1459	146	36	1	1	NUM
cana-1459	146	37	transformation	transformation	NOUN
cana-1459	146	38	,	,	PUNCT
cana-1459	146	39	the	the	DET
cana-1459	146	40	input	input	NOUN
cana-1459	146	41	roi	roi	NOUN
cana-1459	146	42	image	image	NOUN
cana-1459	146	43	are	be	AUX
cana-1459	146	44	decomposed	decompose	VERB
cana-1459	146	45	into	into	ADP
cana-1459	146	46	two	two	NUM
cana-1459	146	47	levels	level	NOUN
cana-1459	146	48	namely	namely	ADV
cana-1459	146	49	low	low	ADJ
cana-1459	146	50	(	(	PUNCT
cana-1459	146	51	𝑙	𝑙	NUM
cana-1459	146	52	)	)	PUNCT
cana-1459	146	53	and	and	CCONJ
cana-1459	146	54	high(ℎ	high(ℎ	NUM
cana-1459	146	55	)	)	PUNCT
cana-1459	146	56	.	.	PUNCT
cana-1459	147	1	in	in	ADP
cana-1459	147	2	the	the	DET
cana-1459	147	3	second	second	ADJ
cana-1459	147	4	level	level	NOUN
cana-1459	147	5	transformation	transformation	NOUN
cana-1459	147	6	,	,	PUNCT
cana-1459	147	7	each	each	DET
cana-1459	147	8	block	block	NOUN
cana-1459	147	9	is	be	AUX
cana-1459	147	10	applied	apply	VERB
cana-1459	147	11	to	to	ADP
cana-1459	147	12	the	the	DET
cana-1459	147	13	downsampling	downsampling	NOUN
cana-1459	147	14	by	by	ADP
cana-1459	147	15	two	two	NUM
cana-1459	147	16	(	(	PUNCT
cana-1459	147	17	i.e.↓2	i.e.↓2	NUM
cana-1459	147	18	)	)	PUNCT
cana-1459	147	19	and	and	CCONJ
cana-1459	147	20	creates	create	VERB
cana-1459	147	21	the	the	DET
cana-1459	147	22	four	four	NUM
cana-1459	147	23	sub	sub	ADJ
cana-1459	147	24	-	-	ADJ
cana-1459	147	25	blocks𝑙𝑙1	blocks𝑙𝑙1	ADJ
cana-1459	147	26	,	,	PUNCT
cana-1459	147	27	𝑙ℎ2	𝑙ℎ2	NOUN
cana-1459	147	28	,	,	PUNCT
cana-1459	147	29	ℎ𝑙1	ℎ𝑙1	NOUN
cana-1459	147	30	,	,	PUNCT
cana-1459	147	31	ℎℎ2	ℎℎ2	NOUN
cana-1459	147	32	.	.	PUNCT
cana-1459	148	1	the	the	DET
cana-1459	148	2	same	same	ADJ
cana-1459	148	3	process	process	NOUN
cana-1459	148	4	is	be	AUX
cana-1459	148	5	𝑙	𝑙	PRON
cana-1459	148	6	↓2	↓2	ADP
cana-1459	148	7	ℎ	ℎ	PART
cana-1459	148	8	↓2	↓2	NOUN
cana-1459	148	9	𝑙𝑙	𝑙𝑙	INTJ
cana-1459	148	10	𝑙ℎ	𝑙ℎ	INTJ
cana-1459	148	11	ℎ𝑙	ℎ𝑙	PRON
cana-1459	148	12	ℎℎ	ℎℎ	ADP
cana-1459	148	13	level	level	NOUN
cana-1459	148	14	1	1	NUM
cana-1459	148	15	roi	roi	NOUN
cana-1459	148	16	palm	palm	NOUN
cana-1459	148	17	image	image	NOUN
cana-1459	148	18	↓2	↓2	NOUN
cana-1459	148	19	level	level	NOUN
cana-1459	148	20	2	2	NUM
cana-1459	148	21	communications	communication	NOUN
cana-1459	148	22	on	on	ADP
cana-1459	148	23	applied	apply	VERB
cana-1459	148	24	nonlinear	nonlinear	ADJ
cana-1459	148	25	analysis	analysis	NOUN
cana-1459	148	26	issn	issn	NOUN
cana-1459	148	27	:	:	PUNCT
cana-1459	148	28	1074	1074	NUM
cana-1459	148	29	-	-	PUNCT
cana-1459	148	30	133x	133x	NUM
cana-1459	148	31	vol	vol	NOUN
cana-1459	148	32	31	31	NUM
cana-1459	148	33	no	no	NOUN
cana-1459	148	34	.	.	PUNCT
cana-1459	149	1	8s	8s	PROPN
cana-1459	149	2	(	(	PUNCT
cana-1459	149	3	2024	2024	NUM
cana-1459	149	4	)	)	PUNCT
cana-1459	149	5	103	103	NUM
cana-1459	149	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1459	149	7	applied	apply	VERB
cana-1459	149	8	to	to	ADP
cana-1459	149	9	each	each	DET
cana-1459	149	10	block	block	NOUN
cana-1459	149	11	and	and	CCONJ
cana-1459	149	12	generates	generate	VERB
cana-1459	149	13	the	the	DET
cana-1459	149	14	next	next	ADJ
cana-1459	149	15	sub	sub	NOUN
cana-1459	149	16	-	-	NOUN
cana-1459	149	17	blocks	block	NOUN
cana-1459	149	18	.	.	PUNCT
cana-1459	150	1	after	after	SCONJ
cana-1459	150	2	the	the	DET
cana-1459	150	3	wavelet	wavelet	NOUN
cana-1459	150	4	sub	sub	NOUN
cana-1459	150	5	-	-	ADJ
cana-1459	150	6	blocks	block	NOUN
cana-1459	150	7	are	be	AUX
cana-1459	150	8	generated	generate	VERB
cana-1459	150	9	,	,	PUNCT
cana-1459	150	10	the	the	DET
cana-1459	150	11	mean	mean	NOUN
cana-1459	150	12	of	of	ADP
cana-1459	150	13	each	each	DET
cana-1459	150	14	block	block	NOUN
cana-1459	150	15	is	be	AUX
cana-1459	150	16	calculated	calculate	VERB
cana-1459	150	17	as	as	SCONJ
cana-1459	150	18	follows	follow	VERB
cana-1459	150	19	.	.	PUNCT
cana-1459	151	1	𝜇𝑗	𝜇𝑗	AUX
cana-1459	151	2	=	=	SYM
cana-1459	151	3	1	1	NUM
cana-1459	151	4	𝑢𝑣	𝑢𝑣	NOUN
cana-1459	151	5	∑	∑	PROPN
cana-1459	151	6	∑	∑	PROPN
cana-1459	151	7	𝑔	𝑔	PROPN
cana-1459	151	8	(	(	PUNCT
cana-1459	151	9	𝑥	𝑥	PROPN
cana-1459	151	10	,	,	PUNCT
cana-1459	151	11	𝑦)𝑣	𝑦)𝑣	X
cana-1459	151	12	𝑦=1	𝑦=1	X
cana-1459	151	13	𝑢	𝑢	X
cana-1459	151	14	𝑥=1	𝑥=1	X
cana-1459	151	15	(	(	PUNCT
cana-1459	151	16	5	5	NUM
cana-1459	151	17	)	)	PUNCT
cana-1459	151	18	where	where	SCONJ
cana-1459	151	19	,	,	PUNCT
cana-1459	151	20	𝜇𝑗	𝜇𝑗	PROPN
cana-1459	151	21	denotes	denote	VERB
cana-1459	151	22	a	a	DET
cana-1459	151	23	mean	mean	NOUN
cana-1459	151	24	of	of	ADP
cana-1459	151	25	block	block	NOUN
cana-1459	151	26	‘	'	PUNCT
cana-1459	151	27	𝑗	𝑗	NOUN
cana-1459	151	28	’	'	PUNCT
cana-1459	151	29	,	,	PUNCT
cana-1459	151	30	𝑔	𝑔	PROPN
cana-1459	151	31	(	(	PUNCT
cana-1459	151	32	𝑥	𝑥	PROPN
cana-1459	151	33	,	,	PUNCT
cana-1459	151	34	𝑦	𝑦	NUM
cana-1459	151	35	)	)	PUNCT
cana-1459	151	36	indicates	indicate	VERB
cana-1459	151	37	a	a	DET
cana-1459	151	38	gray	gray	ADJ
cana-1459	151	39	value	value	NOUN
cana-1459	151	40	of	of	ADP
cana-1459	151	41	the	the	DET
cana-1459	151	42	pixel	pixel	PROPN
cana-1459	151	43	point	point	NOUN
cana-1459	151	44	(	(	PUNCT
cana-1459	151	45	𝑥	𝑥	NOUN
cana-1459	151	46	,	,	PUNCT
cana-1459	151	47	𝑦	𝑦	NOUN
cana-1459	151	48	)	)	PUNCT
cana-1459	151	49	of	of	ADP
cana-1459	151	50	the	the	DET
cana-1459	151	51	block	block	NOUN
cana-1459	151	52	,	,	PUNCT
cana-1459	151	53	then	then	ADV
cana-1459	151	54	the	the	DET
cana-1459	151	55	wavelet	wavelet	NOUN
cana-1459	151	56	sub	sub	NOUN
cana-1459	151	57	blocks	block	NOUN
cana-1459	151	58	are	be	AUX
cana-1459	151	59	normalizedthat	normalizedthat	ADV
cana-1459	151	60	changes	change	NOUN
cana-1459	151	61	the	the	DET
cana-1459	151	62	range	range	NOUN
cana-1459	151	63	of	of	ADP
cana-1459	151	64	pixel	pixel	ADJ
cana-1459	151	65	values	value	NOUN
cana-1459	151	66	into	into	ADP
cana-1459	151	67	a	a	DET
cana-1459	151	68	consistent	consistent	ADJ
cana-1459	151	69	range	range	NOUN
cana-1459	151	70	.	.	PUNCT
cana-1459	152	1	the	the	DET
cana-1459	152	2	normalization	normalization	NOUN
cana-1459	152	3	(	(	PUNCT
cana-1459	152	4	𝑁	𝑁	NOUN
cana-1459	152	5	)	)	PUNCT
cana-1459	152	6	is	be	AUX
cana-1459	152	7	performed	perform	VERB
cana-1459	152	8	based	base	VERB
cana-1459	152	9	on	on	ADP
cana-1459	152	10	maxima	maxima	NOUN
cana-1459	152	11	of	of	ADP
cana-1459	152	12	the	the	DET
cana-1459	152	13	image	image	NOUN
cana-1459	152	14	.	.	PUNCT
cana-1459	153	1	𝑁	𝑁	PROPN
cana-1459	153	2	=	=	SYM
cana-1459	153	3	𝜇𝑗−𝜇𝑗(𝑚𝑛	𝜇𝑗−𝜇𝑗(𝑚𝑛	PROPN
cana-1459	153	4	)	)	PUNCT
cana-1459	153	5	𝜇𝑗(𝑚𝑛	𝜇𝑗(𝑚𝑛	PROPN
cana-1459	153	6	)	)	PUNCT
cana-1459	153	7	−𝜇𝑗(𝑚𝑥	−𝜇𝑗(𝑚𝑥	NUM
cana-1459	153	8	)	)	PUNCT
cana-1459	153	9	(	(	PUNCT
cana-1459	153	10	6	6	NUM
cana-1459	153	11	)	)	PUNCT
cana-1459	153	12	where	where	SCONJ
cana-1459	153	13	,	,	PUNCT
cana-1459	153	14	𝜇𝑗(𝑚𝑥	𝜇𝑗(𝑚𝑥	ADJ
cana-1459	153	15	)	)	PUNCT
cana-1459	153	16	and𝜇𝑗(𝑚𝑛	and𝜇𝑗(𝑚𝑛	PROPN
cana-1459	153	17	)	)	PUNCT
cana-1459	153	18	denotes	denote	VERB
cana-1459	153	19	a	a	DET
cana-1459	153	20	maximal	maximal	ADJ
cana-1459	153	21	and	and	CCONJ
cana-1459	153	22	minimal	minimal	ADJ
cana-1459	153	23	value	value	NOUN
cana-1459	153	24	of	of	ADP
cana-1459	153	25	the	the	DET
cana-1459	153	26	mean	mean	NOUN
cana-1459	153	27	of	of	ADP
cana-1459	153	28	the	the	DET
cana-1459	153	29	block	block	NOUN
cana-1459	153	30	.	.	PUNCT
cana-1459	154	1	the	the	DET
cana-1459	154	2	featurevectors	featurevector	NOUN
cana-1459	154	3	of	of	ADP
cana-1459	154	4	each	each	DET
cana-1459	154	5	block	block	NOUN
cana-1459	154	6	‘	'	PUNCT
cana-1459	154	7	𝐹𝑗	𝐹𝑗	PROPN
cana-1459	154	8	’	'	PUNCT
cana-1459	154	9	is	be	AUX
cana-1459	154	10	represented	represent	VERB
cana-1459	154	11	as	as	SCONJ
cana-1459	154	12	follows	follow	VERB
cana-1459	154	13	,	,	PUNCT
cana-1459	155	1	𝐹𝑗	𝐹𝑗	PROPN
cana-1459	155	2	=	=	PUNCT
cana-1459	156	1	[	[	X
cana-1459	156	2	𝑃𝐿𝑗	𝑃𝐿𝑗	NOUN
cana-1459	156	3	,	,	PUNCT
cana-1459	156	4	𝐿𝑗	𝐿𝑗	PROPN
cana-1459	156	5	,	,	PUNCT
cana-1459	156	6	𝑀𝑃𝑗	𝑀𝑃𝑗	NOUN
cana-1459	156	7	,	,	PUNCT
cana-1459	156	8	𝑆𝑃𝑗	𝑆𝑃𝑗	NOUN
cana-1459	156	9	,	,	PUNCT
cana-1459	156	10	𝑇𝑗	𝑇𝑗	NOUN
cana-1459	156	11	]	]	X
cana-1459	156	12	(	(	PUNCT
cana-1459	156	13	7	7	NUM
cana-1459	156	14	)	)	PUNCT
cana-1459	156	15	where	where	SCONJ
cana-1459	156	16	,	,	PUNCT
cana-1459	156	17	𝑗	𝑗	NOUN
cana-1459	156	18	=	=	SYM
cana-1459	156	19	1,2	1,2	NUM
cana-1459	156	20	,	,	PUNCT
cana-1459	156	21	.	.	PUNCT
cana-1459	156	22	.	.	PUNCT
cana-1459	157	1	𝑀	𝑀	PROPN
cana-1459	157	2	where	where	SCONJ
cana-1459	157	3	,	,	PUNCT
cana-1459	157	4	𝑃𝐿𝑗	𝑃𝐿𝑗	NOUN
cana-1459	157	5	,	,	PUNCT
cana-1459	157	6	𝐿𝑗	𝐿𝑗	PROPN
cana-1459	157	7	,	,	PUNCT
cana-1459	157	8	𝑀𝑃𝑗	𝑀𝑃𝑗	NOUN
cana-1459	157	9	,	,	PUNCT
cana-1459	157	10	𝑆𝑃𝑗	𝑆𝑃𝑗	NOUN
cana-1459	157	11	,	,	PUNCT
cana-1459	157	12	𝑇𝑗	𝑇𝑗	PROPN
cana-1459	157	13	denotes	denote	VERB
cana-1459	157	14	a	a	DET
cana-1459	157	15	principal	principal	ADJ
cana-1459	157	16	lines	line	NOUN
cana-1459	157	17	,	,	PUNCT
cana-1459	157	18	wrinkles	wrinkle	NOUN
cana-1459	157	19	,	,	PUNCT
cana-1459	157	20	ridges	ridge	NOUN
cana-1459	157	21	,	,	PUNCT
cana-1459	157	22	minutiae	minutiae	NOUN
cana-1459	157	23	points	point	NOUN
cana-1459	157	24	,	,	PUNCT
cana-1459	157	25	singular	singular	ADJ
cana-1459	157	26	points	point	NOUN
cana-1459	157	27	,	,	PUNCT
cana-1459	157	28	and	and	CCONJ
cana-1459	157	29	texture	texture	NOUN
cana-1459	157	30	features	feature	VERB
cana-1459	157	31	respectively	respectively	ADV
cana-1459	157	32	.	.	PUNCT
cana-1459	158	1	finally	finally	ADV
cana-1459	158	2	,	,	PUNCT
cana-1459	158	3	the	the	DET
cana-1459	158	4	feature	feature	NOUN
cana-1459	158	5	vectors	vector	NOUN
cana-1459	158	6	of	of	ADP
cana-1459	158	7	each	each	DET
cana-1459	158	8	waveletsubblocks	waveletsubblock	NOUN
cana-1459	158	9	are	be	AUX
cana-1459	158	10	combined	combine	VERB
cana-1459	158	11	into	into	ADP
cana-1459	158	12	a	a	DET
cana-1459	158	13	vector	vector	NOUN
cana-1459	158	14	,	,	PUNCT
cana-1459	158	15	called	call	VERB
cana-1459	158	16	thepalmprint	thepalmprint	NOUN
cana-1459	158	17	feature	feature	NOUN
cana-1459	158	18	vector	vector	NOUN
cana-1459	158	19	.	.	PUNCT
cana-1459	159	1	𝑃𝐹𝑉	𝑃𝐹𝑉	PROPN
cana-1459	159	2	=	=	SYM
cana-1459	159	3	∑	∑	PUNCT
cana-1459	160	1	[	[	X
cana-1459	160	2	𝐹𝑗]𝑀	𝐹𝑗]𝑀	X
cana-1459	160	3	𝑖=1	𝑖=1	PUNCT
cana-1459	160	4	(	(	PUNCT
cana-1459	160	5	8)	8)	NUM
cana-1459	160	6	where	where	SCONJ
cana-1459	160	7	,	,	PUNCT
cana-1459	160	8	𝑃𝐹𝑉	𝑃𝐹𝑉	PROPN
cana-1459	160	9	denotes	denote	VERB
cana-1459	160	10	a	a	DET
cana-1459	160	11	palmprint	palmprint	NOUN
cana-1459	160	12	feature	feature	NOUN
cana-1459	160	13	vector	vector	NOUN
cana-1459	160	14	.	.	PUNCT
cana-1459	161	1	extracting	extract	VERB
cana-1459	161	2	the	the	DET
cana-1459	161	3	featuresis	featuresis	NOUN
cana-1459	161	4	used	use	VERB
cana-1459	161	5	for	for	ADP
cana-1459	161	6	distinguishing	distinguish	VERB
cana-1459	161	7	one	one	NUM
cana-1459	161	8	person	person	NOUN
cana-1459	161	9	's	's	PART
cana-1459	161	10	palmprint	palmprint	NOUN
cana-1459	161	11	from	from	ADP
cana-1459	161	12	another	another	PRON
cana-1459	161	13	's	's	PART
cana-1459	161	14	.	.	PUNCT
cana-1459	162	1	algorithm	algorithm	NOUN
cana-1459	162	2	of	of	ADP
cana-1459	162	3	ochiai	ochiai	ADJ
cana-1459	162	4	-	-	PUNCT
cana-1459	162	5	barkman	barkman	NOUN
cana-1459	162	6	wavelet	wavelet	NOUN
cana-1459	162	7	transformed	transform	VERB
cana-1459	162	8	regression	regression	NOUN
cana-1459	162	9	based	base	VERB
cana-1459	162	10	feature	feature	NOUN
cana-1459	162	11	extraction	extraction	NOUN
cana-1459	162	12	is	be	AUX
cana-1459	162	13	given	give	VERB
cana-1459	162	14	below	below	ADP
cana-1459	162	15	,	,	PUNCT
cana-1459	162	16	//	//	NUM
cana-1459	162	17	algorithm	algorithm	NOUN
cana-1459	162	18	2	2	NUM
cana-1459	162	19	:	:	PUNCT
cana-1459	162	20	ochiai	ochiai	ADJ
cana-1459	162	21	-	-	PUNCT
cana-1459	162	22	barkman	barkman	NOUN
cana-1459	162	23	wavelet	wavelet	NOUN
cana-1459	162	24	transformed	transform	VERB
cana-1459	162	25	regression	regression	NOUN
cana-1459	162	26	based	base	VERB
cana-1459	162	27	feature	feature	NOUN
cana-1459	162	28	extraction	extraction	NOUN
cana-1459	162	29	input	input	NOUN
cana-1459	162	30	:	:	PUNCT
cana-1459	162	31	dataset	dataset	NOUN
cana-1459	162	32	,	,	PUNCT
cana-1459	162	33	number	number	NOUN
cana-1459	162	34	of	of	ADP
cana-1459	162	35	palm	palm	NOUN
cana-1459	162	36	images	image	NOUN
cana-1459	162	37	𝑷𝑰𝟏	𝑷𝑰𝟏	PROPN
cana-1459	162	38	,	,	PUNCT
cana-1459	162	39	𝑷𝑰𝟐	𝑷𝑰𝟐	PROPN
cana-1459	162	40	,	,	PUNCT
cana-1459	162	41	𝑷𝑰𝟑	𝑷𝑰𝟑	PROPN
cana-1459	162	42	,	,	PUNCT
cana-1459	162	43	…	…	PUNCT
cana-1459	162	44	.	.	PUNCT
cana-1459	163	1	,	,	PUNCT
cana-1459	163	2	𝑷𝑰𝒏	𝑷𝑰𝒏	NOUN
cana-1459	163	3	output	output	NOUN
cana-1459	163	4	:	:	PUNCT
cana-1459	163	5	extracted	extract	VERB
cana-1459	163	6	palm	palm	NOUN
cana-1459	163	7	features	feature	NOUN
cana-1459	163	8	begin	begin	VERB
cana-1459	163	9	step	step	NOUN
cana-1459	163	10	1	1	NUM
cana-1459	163	11	:	:	PUNCT
cana-1459	163	12	for	for	ADP
cana-1459	163	13	eachpreprocessedpalm	eachpreprocessedpalm	NOUN
cana-1459	163	14	image	image	NOUN
cana-1459	163	15	(	(	PUNCT
cana-1459	163	16	𝑷𝑰𝒊	𝑷𝑰𝒊	NOUN
cana-1459	163	17	)	)	PUNCT
cana-1459	163	18	step	step	NOUN
cana-1459	163	19	2	2	NUM
cana-1459	163	20	:	:	PUNCT
cana-1459	163	21	measure	measure	VERB
cana-1459	163	22	the	the	DET
cana-1459	163	23	similarity	similarity	NOUN
cana-1459	163	24	between	between	ADP
cana-1459	163	25	pixels	pixel	NOUN
cana-1459	163	26	using	use	VERB
cana-1459	163	27	(	(	PUNCT
cana-1459	163	28	2	2	NUM
cana-1459	163	29	)	)	PUNCT
cana-1459	163	30	step	step	NOUN
cana-1459	163	31	3	3	NUM
cana-1459	163	32	:	:	PUNCT
cana-1459	163	33	segment	segment	VERB
cana-1459	163	34	the	the	DET
cana-1459	163	35	roi	roi	NOUN
cana-1459	163	36	step	step	NOUN
cana-1459	163	37	4	4	NUM
cana-1459	163	38	:	:	PUNCT
cana-1459	163	39	end	end	VERB
cana-1459	163	40	for	for	ADP
cana-1459	163	41	step	step	NOUN
cana-1459	163	42	5	5	NUM
cana-1459	163	43	:	:	PUNCT
cana-1459	163	44	for	for	ADP
cana-1459	163	45	each	each	DET
cana-1459	163	46	roi	roi	NOUN
cana-1459	163	47	step	step	NOUN
cana-1459	163	48	6	6	NUM
cana-1459	163	49	:	:	PUNCT
cana-1459	163	50	apply	apply	VERB
cana-1459	163	51	transformation	transformation	NOUN
cana-1459	163	52	using	use	VERB
cana-1459	163	53	(	(	PUNCT
cana-1459	163	54	3	3	NUM
cana-1459	163	55	)	)	PUNCT
cana-1459	163	56	(	(	PUNCT
cana-1459	163	57	4	4	X
cana-1459	163	58	)	)	PUNCT
cana-1459	163	59	step	step	NOUN
cana-1459	163	60	7	7	NUM
cana-1459	163	61	:	:	PUNCT
cana-1459	163	62	decompose	decompose	NOUN
cana-1459	163	63	roi	roi	NOUN
cana-1459	163	64	into	into	ADP
cana-1459	163	65	sub	sub	ADJ
cana-1459	163	66	-	-	ADJ
cana-1459	163	67	blocks	block	NOUN
cana-1459	163	68	step	step	NOUN
cana-1459	163	69	8	8	NUM
cana-1459	163	70	:	:	PUNCT
cana-1459	163	71	for	for	SCONJ
cana-1459	163	72	each	each	DET
cana-1459	163	73	sub	sub	ADJ
cana-1459	163	74	-	-	ADJ
cana-1459	163	75	blocks	blocks	ADJ
cana-1459	163	76	communications	communication	NOUN
cana-1459	163	77	on	on	ADP
cana-1459	163	78	applied	apply	VERB
cana-1459	163	79	nonlinear	nonlinear	ADJ
cana-1459	163	80	analysis	analysis	NOUN
cana-1459	163	81	issn	issn	NOUN
cana-1459	163	82	:	:	PUNCT
cana-1459	163	83	1074	1074	NUM
cana-1459	163	84	-	-	PUNCT
cana-1459	163	85	133x	133x	NUM
cana-1459	163	86	vol	vol	NOUN
cana-1459	163	87	31	31	NUM
cana-1459	163	88	no	no	NOUN
cana-1459	163	89	.	.	PUNCT
cana-1459	164	1	8s	8s	PROPN
cana-1459	164	2	(	(	PUNCT
cana-1459	164	3	2024	2024	NUM
cana-1459	164	4	)	)	PUNCT
cana-1459	164	5	104	104	NUM
cana-1459	164	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	164	7	step	step	NOUN
cana-1459	164	8	9	9	NUM
cana-1459	164	9	:	:	PUNCT
cana-1459	164	10	compute	compute	NOUN
cana-1459	164	11	mean	mean	NOUN
cana-1459	164	12	value	value	NOUN
cana-1459	164	13	‘	'	PUNCT
cana-1459	164	14	𝝁𝒋	𝝁𝒋	NOUN
cana-1459	164	15	’	'	PUNCT
cana-1459	164	16	step	step	NOUN
cana-1459	164	17	10	10	NUM
cana-1459	164	18	:	:	PUNCT
cana-1459	164	19	perform	perform	VERB
cana-1459	164	20	normalization	normalization	NOUN
cana-1459	164	21	using	use	VERB
cana-1459	164	22	(	(	PUNCT
cana-1459	164	23	6	6	NUM
cana-1459	164	24	)	)	PUNCT
cana-1459	164	25	step	step	NOUN
cana-1459	164	26	11	11	NUM
cana-1459	164	27	:	:	PUNCT
cana-1459	164	28	form	form	VERB
cana-1459	164	29	feature	feature	NOUN
cana-1459	164	30	vector	vector	NOUN
cana-1459	164	31	for	for	ADP
cana-1459	164	32	each	each	DET
cana-1459	164	33	block	block	NOUN
cana-1459	164	34	using	use	VERB
cana-1459	164	35	(	(	PUNCT
cana-1459	164	36	7	7	NUM
cana-1459	164	37	)	)	PUNCT
cana-1459	164	38	step	step	NOUN
cana-1459	164	39	12	12	NUM
cana-1459	164	40	:	:	PUNCT
cana-1459	164	41	combine	combine	VERB
cana-1459	164	42	block	block	NOUN
cana-1459	164	43	feature	feature	NOUN
cana-1459	164	44	vector	vector	NOUN
cana-1459	164	45	into	into	ADP
cana-1459	164	46	palmprint	palmprint	NOUN
cana-1459	164	47	feature	feature	NOUN
cana-1459	164	48	vector	vector	NOUN
cana-1459	164	49	using	use	VERB
cana-1459	164	50	(	(	PUNCT
cana-1459	164	51	8)	8)	NUM
cana-1459	164	52	step	step	NOUN
cana-1459	164	53	13	13	NUM
cana-1459	164	54	:	:	PUNCT
cana-1459	164	55	end	end	VERB
cana-1459	164	56	for	for	ADP
cana-1459	164	57	end	end	NOUN
cana-1459	164	58	algorithm	algorithm	NOUN
cana-1459	164	59	2	2	NUM
cana-1459	164	60	outlines	outline	VERB
cana-1459	164	61	the	the	DET
cana-1459	164	62	process	process	NOUN
cana-1459	164	63	of	of	ADP
cana-1459	164	64	minimizing	minimize	VERB
cana-1459	164	65	time	time	NOUN
cana-1459	164	66	complexity	complexity	NOUN
cana-1459	164	67	in	in	ADP
cana-1459	164	68	palmprint	palmprint	NOUN
cana-1459	164	69	recognition	recognition	NOUN
cana-1459	164	70	through	through	ADP
cana-1459	164	71	efficient	efficient	ADJ
cana-1459	164	72	roi	roi	NOUN
cana-1459	164	73	extraction	extraction	NOUN
cana-1459	164	74	and	and	CCONJ
cana-1459	164	75	feature	feature	NOUN
cana-1459	164	76	extraction	extraction	NOUN
cana-1459	164	77	.	.	PUNCT
cana-1459	165	1	the	the	DET
cana-1459	165	2	algorithm	algorithm	NOUN
cana-1459	165	3	begins	begin	VERB
cana-1459	165	4	with	with	ADP
cana-1459	165	5	preprocessed	preprocesse	VERB
cana-1459	165	6	images	image	NOUN
cana-1459	165	7	as	as	ADP
cana-1459	165	8	input	input	NOUN
cana-1459	165	9	.	.	PUNCT
cana-1459	166	1	next	next	ADV
cana-1459	166	2	,	,	PUNCT
cana-1459	166	3	it	it	PRON
cana-1459	166	4	quantifies	quantify	VERB
cana-1459	166	5	pixel	pixel	PROPN
cana-1459	166	6	similarities	similarity	NOUN
cana-1459	166	7	to	to	PART
cana-1459	166	8	perform	perform	VERB
cana-1459	166	9	roi	roi	NOUN
cana-1459	166	10	segmentation	segmentation	NOUN
cana-1459	166	11	using	use	VERB
cana-1459	166	12	ochiaibarkman	ochiaibarkman	PROPN
cana-1459	166	13	segmented	segment	VERB
cana-1459	166	14	regression	regression	NOUN
cana-1459	166	15	.	.	PUNCT
cana-1459	167	1	this	this	PRON
cana-1459	167	2	provides	provide	VERB
cana-1459	167	3	distinct	distinct	ADJ
cana-1459	167	4	regions	region	NOUN
cana-1459	167	5	of	of	ADP
cana-1459	167	6	interest	interest	NOUN
cana-1459	167	7	within	within	ADP
cana-1459	167	8	the	the	DET
cana-1459	167	9	images.once	images.once	NOUN
cana-1459	167	10	the	the	DET
cana-1459	167	11	rois	rois	NOUN
cana-1459	167	12	are	be	AUX
cana-1459	167	13	extracted	extract	VERB
cana-1459	167	14	,	,	PUNCT
cana-1459	167	15	the	the	DET
cana-1459	167	16	algorithm	algorithm	NOUN
cana-1459	167	17	applies	apply	VERB
cana-1459	167	18	wavelet	wavelet	NOUN
cana-1459	167	19	packet	packet	NOUN
cana-1459	167	20	transform	transform	NOUN
cana-1459	167	21	to	to	PART
cana-1459	167	22	decompose	decompose	VERB
cana-1459	167	23	each	each	DET
cana-1459	167	24	roi	roi	NOUN
cana-1459	167	25	into	into	ADP
cana-1459	167	26	multiple	multiple	ADJ
cana-1459	167	27	sub	sub	NOUN
cana-1459	167	28	-	-	NOUN
cana-1459	167	29	blocks	block	NOUN
cana-1459	167	30	.	.	PUNCT
cana-1459	168	1	for	for	ADP
cana-1459	168	2	each	each	DET
cana-1459	168	3	sub	sub	NOUN
cana-1459	168	4	-	-	NOUN
cana-1459	168	5	block	block	ADJ
cana-1459	168	6	,	,	PUNCT
cana-1459	168	7	the	the	DET
cana-1459	168	8	mean	mean	ADJ
cana-1459	168	9	value	value	NOUN
cana-1459	168	10	is	be	AUX
cana-1459	168	11	computed	compute	VERB
cana-1459	168	12	as	as	ADP
cana-1459	168	13	a	a	DET
cana-1459	168	14	representative	representative	ADJ
cana-1459	168	15	feature	feature	NOUN
cana-1459	168	16	.	.	PUNCT
cana-1459	169	1	subsequently	subsequently	ADV
cana-1459	169	2	,	,	PUNCT
cana-1459	169	3	normalization	normalization	NOUN
cana-1459	169	4	is	be	AUX
cana-1459	169	5	executed	execute	VERB
cana-1459	169	6	to	to	PART
cana-1459	169	7	standardize	standardize	VERB
cana-1459	169	8	the	the	DET
cana-1459	169	9	feature	feature	NOUN
cana-1459	169	10	values	value	NOUN
cana-1459	169	11	.	.	PUNCT
cana-1459	170	1	at	at	ADP
cana-1459	170	2	this	this	DET
cana-1459	170	3	point	point	NOUN
cana-1459	170	4	,	,	PUNCT
cana-1459	170	5	individual	individual	ADJ
cana-1459	170	6	feature	feature	NOUN
cana-1459	170	7	vectors	vector	NOUN
cana-1459	170	8	are	be	AUX
cana-1459	170	9	generated	generate	VERB
cana-1459	170	10	for	for	ADP
cana-1459	170	11	each	each	DET
cana-1459	170	12	sub-block.finally	sub-block.finally	NOUN
cana-1459	170	13	,	,	PUNCT
cana-1459	170	14	these	these	DET
cana-1459	170	15	feature	feature	NOUN
cana-1459	170	16	vectors	vector	NOUN
cana-1459	170	17	are	be	AUX
cana-1459	170	18	combined	combine	VERB
cana-1459	170	19	to	to	PART
cana-1459	170	20	create	create	VERB
cana-1459	170	21	a	a	DET
cana-1459	170	22	complete	complete	ADJ
cana-1459	170	23	palmprint	palmprint	NOUN
cana-1459	170	24	feature	feature	NOUN
cana-1459	170	25	vector	vector	NOUN
cana-1459	170	26	.	.	PUNCT
cana-1459	171	1	this	this	DET
cana-1459	171	2	vector	vector	NOUN
cana-1459	171	3	summarizes	summarize	VERB
cana-1459	171	4	the	the	DET
cana-1459	171	5	distinctive	distinctive	ADJ
cana-1459	171	6	information	information	NOUN
cana-1459	171	7	from	from	ADP
cana-1459	171	8	all	all	DET
cana-1459	171	9	the	the	DET
cana-1459	171	10	sub	sub	NOUN
cana-1459	171	11	-	-	NOUN
cana-1459	171	12	blocks	block	NOUN
cana-1459	171	13	within	within	ADP
cana-1459	171	14	the	the	DET
cana-1459	171	15	roi	roi	NOUN
cana-1459	171	16	.	.	PUNCT
cana-1459	172	1	this	this	DET
cana-1459	172	2	approach	approach	NOUN
cana-1459	172	3	to	to	PART
cana-1459	172	4	feature	feature	NOUN
cana-1459	172	5	extraction	extraction	NOUN
cana-1459	172	6	ensures	ensure	VERB
cana-1459	172	7	efficient	efficient	ADJ
cana-1459	172	8	palmprint	palmprint	NOUN
cana-1459	172	9	recognition	recognition	NOUN
cana-1459	172	10	by	by	ADP
cana-1459	172	11	minimizing	minimize	VERB
cana-1459	172	12	computational	computational	ADJ
cana-1459	172	13	time	time	NOUN
cana-1459	172	14	.	.	PUNCT
cana-1459	173	1	3.3	3.3	NUM
cana-1459	173	2	ruzicka	ruzicka	NOUN
cana-1459	173	3	indexive	indexive	ADJ
cana-1459	173	4	deep	deep	ADJ
cana-1459	173	5	multilayer	multilayer	PROPN
cana-1459	173	6	perceptron	perceptron	PROPN
cana-1459	173	7	neural	neural	PROPN
cana-1459	173	8	network	network	PROPN
cana-1459	173	9	based	base	VERB
cana-1459	173	10	palmprint	palmprint	NOUN
cana-1459	173	11	detection	detection	NOUN
cana-1459	173	12	upon	upon	SCONJ
cana-1459	173	13	extracting	extract	VERB
cana-1459	173	14	the	the	DET
cana-1459	173	15	palmprint	palmprint	NOUN
cana-1459	173	16	features	feature	NOUN
cana-1459	173	17	,	,	PUNCT
cana-1459	173	18	classification	classification	NOUN
cana-1459	173	19	is	be	AUX
cana-1459	173	20	performed	perform	VERB
cana-1459	173	21	using	use	VERB
cana-1459	173	22	deep	deep	ADJ
cana-1459	173	23	multilayer	multilayer	ADJ
cana-1459	173	24	perceptron	perceptron	PROPN
cana-1459	173	25	neural	neural	PROPN
cana-1459	173	26	network.a	network.a	PROPN
cana-1459	173	27	deep	deep	ADJ
cana-1459	173	28	multilayer	multilayer	PROPN
cana-1459	173	29	perceptron	perceptron	PROPN
cana-1459	173	30	is	be	AUX
cana-1459	173	31	a	a	DET
cana-1459	173	32	type	type	NOUN
cana-1459	173	33	of	of	ADP
cana-1459	173	34	artificial	artificial	ADJ
cana-1459	173	35	neural	neural	ADJ
cana-1459	173	36	network	network	NOUN
cana-1459	173	37	architecture	architecture	NOUN
cana-1459	173	38	that	that	PRON
cana-1459	173	39	consists	consist	VERB
cana-1459	173	40	of	of	ADP
cana-1459	173	41	multiple	multiple	ADJ
cana-1459	173	42	hidden	hide	VERB
cana-1459	173	43	layers	layer	NOUN
cana-1459	173	44	between	between	ADP
cana-1459	173	45	the	the	DET
cana-1459	173	46	input	input	NOUN
cana-1459	173	47	and	and	CCONJ
cana-1459	173	48	output	output	NOUN
cana-1459	173	49	layers	layer	NOUN
cana-1459	173	50	.	.	PUNCT
cana-1459	174	1	the	the	DET
cana-1459	174	2	term	term	NOUN
cana-1459	174	3	deep	deep	ADV
cana-1459	174	4	refers	refer	VERB
cana-1459	174	5	to	to	ADP
cana-1459	174	6	the	the	DET
cana-1459	174	7	presence	presence	NOUN
cana-1459	174	8	of	of	ADP
cana-1459	174	9	multiple	multiple	ADJ
cana-1459	174	10	hidden	hide	VERB
cana-1459	174	11	layers	layer	NOUN
cana-1459	174	12	,	,	PUNCT
cana-1459	174	13	allowing	allow	VERB
cana-1459	174	14	the	the	DET
cana-1459	174	15	network	network	NOUN
cana-1459	174	16	to	to	PART
cana-1459	174	17	learn	learn	VERB
cana-1459	174	18	features	feature	NOUN
cana-1459	174	19	.	.	PUNCT
cana-1459	175	1	each	each	DET
cana-1459	175	2	layer	layer	NOUN
cana-1459	175	3	consists	consist	VERB
cana-1459	175	4	of	of	ADP
cana-1459	175	5	multiple	multiple	ADJ
cana-1459	175	6	neurons	neuron	NOUN
cana-1459	175	7	(	(	PUNCT
cana-1459	175	8	also	also	ADV
cana-1459	175	9	known	know	VERB
cana-1459	175	10	as	as	ADP
cana-1459	175	11	units	unit	NOUN
cana-1459	175	12	or	or	CCONJ
cana-1459	175	13	nodes	node	NOUN
cana-1459	175	14	)	)	PUNCT
cana-1459	175	15	that	that	PRON
cana-1459	175	16	perform	perform	VERB
cana-1459	175	17	computations	computation	NOUN
cana-1459	175	18	on	on	ADP
cana-1459	175	19	the	the	DET
cana-1459	175	20	input	input	NOUN
cana-1459	175	21	data	datum	NOUN
cana-1459	175	22	.	.	PUNCT
cana-1459	176	1	the	the	DET
cana-1459	176	2	main	main	ADJ
cana-1459	176	3	advantage	advantage	NOUN
cana-1459	176	4	is	be	AUX
cana-1459	176	5	to	to	PART
cana-1459	176	6	solve	solve	VERB
cana-1459	176	7	complex	complex	ADJ
cana-1459	176	8	nonlinear	nonlinear	ADJ
cana-1459	176	9	problems	problem	NOUN
cana-1459	176	10	and	and	CCONJ
cana-1459	176	11	handles	handle	VERB
cana-1459	176	12	large	large	ADJ
cana-1459	176	13	amounts	amount	NOUN
cana-1459	176	14	of	of	ADP
cana-1459	176	15	input	input	NOUN
cana-1459	176	16	sampleswith	sampleswith	PROPN
cana-1459	176	17	lesser	less	ADJ
cana-1459	176	18	time	time	NOUN
cana-1459	176	19	.	.	PUNCT
cana-1459	177	1	this	this	DET
cana-1459	177	2	network	network	NOUN
cana-1459	177	3	comprises	comprise	VERB
cana-1459	177	4	multiple	multiple	ADJ
cana-1459	177	5	layers	layer	NOUN
cana-1459	177	6	,	,	PUNCT
cana-1459	177	7	including	include	VERB
cana-1459	177	8	an	an	DET
cana-1459	177	9	input	input	NOUN
cana-1459	177	10	layer	layer	NOUN
cana-1459	177	11	,	,	PUNCT
cana-1459	177	12	hidden	hidden	ADJ
cana-1459	177	13	layers	layer	NOUN
cana-1459	177	14	,	,	PUNCT
cana-1459	177	15	and	and	CCONJ
cana-1459	177	16	an	an	DET
cana-1459	177	17	output	output	NOUN
cana-1459	177	18	layer.the	layer.the	DET
cana-1459	177	19	extracted	extract	VERB
cana-1459	177	20	palmprint	palmprint	NOUN
cana-1459	177	21	feature	feature	NOUN
cana-1459	177	22	vectors	vector	NOUN
cana-1459	177	23	are	be	AUX
cana-1459	177	24	fed	feed	VERB
cana-1459	177	25	into	into	ADP
cana-1459	177	26	the	the	DET
cana-1459	177	27	input	input	NOUN
cana-1459	177	28	layer	layer	NOUN
cana-1459	177	29	of	of	ADP
cana-1459	177	30	the	the	DET
cana-1459	177	31	neural	neural	ADJ
cana-1459	177	32	network	network	NOUN
cana-1459	177	33	.	.	PUNCT
cana-1459	178	1	the	the	DET
cana-1459	178	2	layers	layer	NOUN
cana-1459	178	3	consist	consist	VERB
cana-1459	178	4	of	of	ADP
cana-1459	178	5	neurons	neuron	NOUN
cana-1459	178	6	like	like	ADP
cana-1459	178	7	nodes	node	NOUN
cana-1459	178	8	are	be	AUX
cana-1459	178	9	connected	connect	VERB
cana-1459	178	10	from	from	ADP
cana-1459	178	11	one	one	NUM
cana-1459	178	12	layer	layer	NOUN
cana-1459	178	13	to	to	ADP
cana-1459	178	14	successive	successive	ADJ
cana-1459	178	15	layer	layer	NOUN
cana-1459	178	16	.	.	PUNCT
cana-1459	179	1	the	the	DET
cana-1459	179	2	input	input	NOUN
cana-1459	179	3	features	feature	VERB
cana-1459	179	4	vector	vector	NOUN
cana-1459	179	5	from	from	ADP
cana-1459	179	6	one	one	NUM
cana-1459	179	7	layer	layer	NOUN
cana-1459	179	8	is	be	AUX
cana-1459	179	9	transformed	transform	VERB
cana-1459	179	10	into	into	ADP
cana-1459	179	11	the	the	DET
cana-1459	179	12	next	next	ADJ
cana-1459	179	13	layer	layer	NOUN
cana-1459	179	14	with	with	ADP
cana-1459	179	15	different	different	ADJ
cana-1459	179	16	weights	weight	NOUN
cana-1459	179	17	.	.	PUNCT
cana-1459	180	1	each	each	PRON
cana-1459	180	2	of	of	ADP
cana-1459	180	3	these	these	DET
cana-1459	180	4	features	feature	NOUN
cana-1459	180	5	vector	vector	NOUN
cana-1459	180	6	is	be	AUX
cana-1459	180	7	associated	associate	VERB
cana-1459	180	8	with	with	ADP
cana-1459	180	9	a	a	DET
cana-1459	180	10	weight	weight	NOUN
cana-1459	180	11	‘	'	PUNCT
cana-1459	180	12	𝑄1	𝑄1	NOUN
cana-1459	180	13	,	,	PUNCT
cana-1459	180	14	𝑄2	𝑄2	PROPN
cana-1459	180	15	,	,	PUNCT
cana-1459	180	16	…	…	PUNCT
cana-1459	180	17	,	,	PUNCT
cana-1459	180	18	𝑄𝑛	𝑄𝑛	NOUN
cana-1459	180	19	’	'	PUNCT
cana-1459	180	20	and	and	CCONJ
cana-1459	180	21	added	add	VERB
cana-1459	180	22	with	with	ADP
cana-1459	180	23	bias	bias	NOUN
cana-1459	180	24	‘	'	PUNCT
cana-1459	180	25	𝐵	𝐵	NOUN
cana-1459	180	26	’	'	PUNCT
cana-1459	180	27	.	.	PUNCT
cana-1459	181	1	𝑍(𝑡	𝑍(𝑡	X
cana-1459	181	2	)	)	PUNCT
cana-1459	181	3	=	=	SYM
cana-1459	182	1	[	[	X
cana-1459	182	2	∑	∑	ADV
cana-1459	182	3	𝑃𝐹𝑉𝑖(𝑡	𝑃𝐹𝑉𝑖(𝑡	ADJ
cana-1459	182	4	)	)	PUNCT
cana-1459	182	5	∗𝑛	∗𝑛	PROPN
cana-1459	182	6	𝑖=1	𝑖=1	PUNCT
cana-1459	183	1	𝑄𝑖	𝑄𝑖	PROPN
cana-1459	183	2	]	]	X
cana-1459	184	1	+	+	CCONJ
cana-1459	184	2	𝐵	𝐵	NOUN
cana-1459	184	3	(	(	PUNCT
cana-1459	184	4	9	9	NUM
cana-1459	184	5	)	)	PUNCT
cana-1459	184	6	where	where	SCONJ
cana-1459	184	7	,	,	PUNCT
cana-1459	184	8	the	the	DET
cana-1459	184	9	activity	activity	NOUN
cana-1459	184	10	of	of	ADP
cana-1459	184	11	neuron	neuron	NOUN
cana-1459	184	12	at	at	ADP
cana-1459	184	13	input	input	NOUN
cana-1459	184	14	layer	layer	NOUN
cana-1459	184	15	‘	'	PUNCT
cana-1459	184	16	𝑍(𝑡	𝑍(𝑡	NOUN
cana-1459	184	17	)	)	PUNCT
cana-1459	184	18	’	'	PUNCT
cana-1459	184	19	denotes	denote	VERB
cana-1459	184	20	that	that	SCONJ
cana-1459	184	21	the	the	DET
cana-1459	184	22	weighted	weight	VERB
cana-1459	184	23	‘	'	PUNCT
cana-1459	184	24	𝑄𝑖	𝑄𝑖	ADJ
cana-1459	184	25	’	'	PUNCT
cana-1459	184	26	sum	sum	NOUN
cana-1459	184	27	of	of	ADP
cana-1459	184	28	the	the	DET
cana-1459	184	29	input	input	NOUN
cana-1459	184	30	features	feature	VERB
cana-1459	184	31	‘	'	PUNCT
cana-1459	184	32	𝑃𝐹𝑉𝑖(𝑡	𝑃𝐹𝑉𝑖(𝑡	ADJ
cana-1459	184	33	)	)	PUNCT
cana-1459	184	34	’	'	PUNCT
cana-1459	184	35	and	and	CCONJ
cana-1459	184	36	add	add	VERB
cana-1459	184	37	to	to	ADP
cana-1459	184	38	the	the	DET
cana-1459	184	39	bias	bias	NOUN
cana-1459	184	40	function	function	VERB
cana-1459	184	41	‘	'	PUNCT
cana-1459	184	42	𝐵	𝐵	NOUN
cana-1459	184	43	’	'	PUNCT
cana-1459	184	44	that	that	PRON
cana-1459	184	45	stored	store	VERB
cana-1459	184	46	the	the	DET
cana-1459	184	47	value	value	NOUN
cana-1459	184	48	is	be	AUX
cana-1459	184	49	‘	'	PUNCT
cana-1459	184	50	1	1	NUM
cana-1459	184	51	’	'	PUNCT
cana-1459	184	52	.	.	PUNCT
cana-1459	185	1	then	then	ADV
cana-1459	185	2	the	the	DET
cana-1459	185	3	input	input	NOUN
cana-1459	185	4	is	be	AUX
cana-1459	185	5	transferred	transfer	VERB
cana-1459	185	6	into	into	ADP
cana-1459	185	7	the	the	DET
cana-1459	185	8	hidden	hide	VERB
cana-1459	185	9	layer	layer	NOUN
cana-1459	185	10	of	of	ADP
cana-1459	185	11	the	the	DET
cana-1459	185	12	network	network	NOUN
cana-1459	185	13	.	.	PUNCT
cana-1459	186	1	two	two	NUM
cana-1459	186	2	hidden	hide	VERB
cana-1459	186	3	layers	layer	NOUN
cana-1459	186	4	are	be	AUX
cana-1459	186	5	positioned	position	VERB
cana-1459	186	6	between	between	ADP
cana-1459	186	7	the	the	DET
cana-1459	186	8	input	input	NOUN
cana-1459	186	9	and	and	CCONJ
cana-1459	186	10	output	output	NOUN
cana-1459	186	11	layers	layer	NOUN
cana-1459	186	12	.	.	PUNCT
cana-1459	187	1	communications	communication	NOUN
cana-1459	187	2	on	on	ADP
cana-1459	187	3	applied	apply	VERB
cana-1459	187	4	nonlinear	nonlinear	ADJ
cana-1459	187	5	analysis	analysis	NOUN
cana-1459	187	6	issn	issn	NOUN
cana-1459	187	7	:	:	PUNCT
cana-1459	187	8	1074	1074	NUM
cana-1459	187	9	-	-	PUNCT
cana-1459	187	10	133x	133x	NUM
cana-1459	187	11	vol	vol	NOUN
cana-1459	187	12	31	31	NUM
cana-1459	187	13	no	no	NOUN
cana-1459	187	14	.	.	PUNCT
cana-1459	188	1	8s	8s	PROPN
cana-1459	188	2	(	(	PUNCT
cana-1459	188	3	2024	2024	NUM
cana-1459	188	4	)	)	PUNCT
cana-1459	188	5	105	105	NUM
cana-1459	188	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	188	7	in	in	ADP
cana-1459	188	8	the	the	DET
cana-1459	188	9	hidden	hide	VERB
cana-1459	188	10	layer	layer	NOUN
cana-1459	188	11	,	,	PUNCT
cana-1459	188	12	ruzicka	ruzicka	NOUN
cana-1459	188	13	indexis	indexis	NOUN
cana-1459	188	14	applied	apply	VERB
cana-1459	188	15	for	for	ADP
cana-1459	188	16	perform	perform	NOUN
cana-1459	188	17	pattern	pattern	NOUN
cana-1459	188	18	matching	match	VERB
cana-1459	188	19	with	with	ADP
cana-1459	188	20	the	the	DET
cana-1459	188	21	extracted	extract	VERB
cana-1459	188	22	feature	feature	NOUN
cana-1459	188	23	vector	vector	NOUN
cana-1459	188	24	and	and	CCONJ
cana-1459	188	25	the	the	DET
cana-1459	188	26	stored	store	VERB
cana-1459	188	27	templates	template	NOUN
cana-1459	188	28	features	feature	VERB
cana-1459	188	29	.	.	PUNCT
cana-1459	189	1	ruzicka	ruzicka	NOUN
cana-1459	189	2	index	index	NOUN
cana-1459	189	3	is	be	AUX
cana-1459	189	4	statistical	statistical	ADJ
cana-1459	189	5	technique	technique	NOUN
cana-1459	189	6	used	use	VERB
cana-1459	189	7	to	to	PART
cana-1459	189	8	measure	measure	VERB
cana-1459	189	9	the	the	DET
cana-1459	189	10	similarity	similarity	NOUN
cana-1459	189	11	between	between	ADP
cana-1459	189	12	two	two	NUM
cana-1459	189	13	features	feature	NOUN
cana-1459	189	14	sets	set	NOUN
cana-1459	189	15	.	.	PUNCT
cana-1459	190	1	𝑆𝑐	𝑆𝑐	PROPN
cana-1459	190	2	=	=	PUNCT
cana-1459	190	3	[	[	X
cana-1459	190	4	𝑃𝐹𝑉∩	𝑃𝐹𝑉∩	VERB
cana-1459	190	5	𝑆𝐹𝑉	𝑆𝐹𝑉	PROPN
cana-1459	190	6	]	]	PUNCT
cana-1459	190	7	∑	∑	PUNCT
cana-1459	190	8	𝑃𝐹𝑉	𝑃𝐹𝑉	PROPN
cana-1459	190	9	+	+	ADJ
cana-1459	190	10	∑	∑	PROPN
cana-1459	190	11	𝑆𝐹𝑉−[𝑃𝐹𝑉∩	𝑆𝐹𝑉−[𝑃𝐹𝑉∩	PROPN
cana-1459	190	12	𝑆𝐹𝑉	𝑆𝐹𝑉	PROPN
cana-1459	190	13	]	]	X
cana-1459	190	14	(	(	PUNCT
cana-1459	190	15	10	10	NUM
cana-1459	190	16	)	)	PUNCT
cana-1459	190	17	where	where	SCONJ
cana-1459	190	18	,	,	PUNCT
cana-1459	190	19	‘	'	PUNCT
cana-1459	190	20	𝑆𝑐	𝑆𝑐	NOUN
cana-1459	190	21	’	'	PUNCT
cana-1459	190	22	denotes	denote	NOUN
cana-1459	190	23	asimilaritycoefficient,𝑃𝐹𝑉	asimilaritycoefficient,𝑃𝐹𝑉	PROPN
cana-1459	190	24	denotes	denote	VERB
cana-1459	190	25	a	a	DET
cana-1459	190	26	set	set	NOUN
cana-1459	190	27	of	of	ADP
cana-1459	190	28	‘	'	PUNCT
cana-1459	190	29	extracted	extract	VERB
cana-1459	190	30	feature	feature	NOUN
cana-1459	190	31	vectortor	vectortor	NOUN
cana-1459	190	32	and	and	CCONJ
cana-1459	190	33	𝑆𝐹𝑉	𝑆𝐹𝑉	PROPN
cana-1459	190	34	indicates	indicate	VERB
cana-1459	190	35	stored	store	VERB
cana-1459	190	36	templates	template	NOUN
cana-1459	190	37	features	feature	NOUN
cana-1459	190	38	,	,	PUNCT
cana-1459	190	39	𝑃𝐹𝑉	𝑃𝐹𝑉	PROPN
cana-1459	190	40	∩	∩	NOUN
cana-1459	190	41	𝑆𝐹𝑉	𝑆𝐹𝑉	PROPN
cana-1459	190	42	denotes	denote	VERB
cana-1459	190	43	a	a	DET
cana-1459	190	44	mutual	mutual	ADJ
cana-1459	190	45	dependence	dependence	NOUN
cana-1459	190	46	between	between	ADP
cana-1459	190	47	the	the	DET
cana-1459	190	48	features	feature	NOUN
cana-1459	190	49	vector	vector	NOUN
cana-1459	190	50	.	.	PUNCT
cana-1459	191	1	the	the	DET
cana-1459	191	2	coefficient	coefficient	NOUN
cana-1459	191	3	(	(	PUNCT
cana-1459	191	4	𝑆𝑐	𝑆𝑐	PROPN
cana-1459	191	5	)	)	PUNCT
cana-1459	191	6	provides	provide	VERB
cana-1459	191	7	the	the	DET
cana-1459	191	8	output	output	NOUN
cana-1459	191	9	ranges	range	VERB
cana-1459	191	10	between	between	ADP
cana-1459	191	11	0	0	NUM
cana-1459	191	12	and	and	CCONJ
cana-1459	191	13	1	1	NUM
cana-1459	191	14	.	.	PUNCT
cana-1459	192	1	the	the	DET
cana-1459	192	2	binary	binary	ADJ
cana-1459	192	3	step	step	NOUN
cana-1459	192	4	activation	activation	NOUN
cana-1459	192	5	function	function	NOUN
cana-1459	192	6	is	be	AUX
cana-1459	192	7	applied	apply	VERB
cana-1459	192	8	for	for	ADP
cana-1459	192	9	validating	validate	VERB
cana-1459	192	10	the	the	DET
cana-1459	192	11	similaritycoefficient	similaritycoefficient	ADJ
cana-1459	192	12	results	result	NOUN
cana-1459	192	13	.	.	PUNCT
cana-1459	193	1	𝐴	𝐴	NOUN
cana-1459	193	2	=	=	PUNCT
cana-1459	193	3	{	{	PUNCT
cana-1459	193	4	1	1	NUM
cana-1459	193	5	;	;	PUNCT
cana-1459	193	6	𝑆𝑐	𝑆𝑐	PROPN
cana-1459	193	7	>	>	X
cana-1459	193	8	0.5	0.5	NUM
cana-1459	193	9	0	0	NUM
cana-1459	193	10	;	;	PUNCT
cana-1459	193	11	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	X
cana-1459	193	12	(	(	PUNCT
cana-1459	193	13	11	11	NUM
cana-1459	193	14	)	)	PUNCT
cana-1459	193	15	the	the	DET
cana-1459	193	16	binary	binary	ADJ
cana-1459	193	17	step	step	NOUN
cana-1459	193	18	activation	activation	NOUN
cana-1459	193	19	function	function	VERB
cana-1459	193	20	‘	'	PUNCT
cana-1459	193	21	𝐴	𝐴	PROPN
cana-1459	193	22	’	'	PUNCT
cana-1459	193	23	provides	provide	VERB
cana-1459	193	24	output	output	NOUN
cana-1459	193	25	‘	'	PUNCT
cana-1459	193	26	1	1	NUM
cana-1459	193	27	’	'	PUNCT
cana-1459	193	28	when	when	SCONJ
cana-1459	193	29	the	the	DET
cana-1459	193	30	similaritycoefficientresult	similaritycoefficientresult	NOUN
cana-1459	193	31	is	be	AUX
cana-1459	193	32	greater	great	ADJ
cana-1459	193	33	than	than	ADP
cana-1459	193	34	0.5	0.5	NUM
cana-1459	193	35	.	.	PUNCT
cana-1459	194	1	the	the	DET
cana-1459	194	2	activation	activation	NOUN
cana-1459	194	3	function	function	VERB
cana-1459	194	4	‘	'	PUNCT
cana-1459	194	5	𝐴	𝐴	NOUN
cana-1459	194	6	’	'	PUNCT
cana-1459	194	7	provides	provide	VERB
cana-1459	194	8	output	output	NOUN
cana-1459	194	9	‘	'	PUNCT
cana-1459	194	10	0’when	0’when	PRON
cana-1459	194	11	the	the	DET
cana-1459	194	12	similaritycoefficientresult	similaritycoefficientresult	NOUN
cana-1459	194	13	is	be	AUX
cana-1459	194	14	lesser	less	ADJ
cana-1459	194	15	than	than	ADP
cana-1459	194	16	0.5	0.5	NUM
cana-1459	194	17	.	.	PUNCT
cana-1459	195	1	as	as	ADP
cana-1459	195	2	a	a	DET
cana-1459	195	3	result	result	NOUN
cana-1459	195	4	,	,	PUNCT
cana-1459	195	5	the	the	DET
cana-1459	195	6	output	output	NOUN
cana-1459	195	7	‘	'	PUNCT
cana-1459	195	8	1	1	NUM
cana-1459	195	9	’	'	PUNCT
cana-1459	195	10	indicates	indicate	VERB
cana-1459	195	11	the	the	DET
cana-1459	195	12	two	two	NUM
cana-1459	195	13	features	feature	NOUN
cana-1459	195	14	correctly	correctly	ADV
cana-1459	195	15	matched	match	VERB
cana-1459	195	16	and	and	CCONJ
cana-1459	195	17	output	output	NOUN
cana-1459	195	18	‘	'	PUNCT
cana-1459	195	19	0	0	NUM
cana-1459	195	20	’	'	PUNCT
cana-1459	195	21	indicates	indicate	VERB
cana-1459	195	22	the	the	DET
cana-1459	195	23	two	two	NUM
cana-1459	195	24	features	feature	NOUN
cana-1459	195	25	not	not	PART
cana-1459	195	26	matched	match	VERB
cana-1459	195	27	.	.	PUNCT
cana-1459	196	1	classification	classification	NOUN
cana-1459	196	2	is	be	AUX
cana-1459	196	3	subsequently	subsequently	ADV
cana-1459	196	4	performed	perform	VERB
cana-1459	196	5	based	base	VERB
cana-1459	196	6	on	on	ADP
cana-1459	196	7	the	the	DET
cana-1459	196	8	matching	matching	NOUN
cana-1459	196	9	results	result	NOUN
cana-1459	196	10	.	.	PUNCT
cana-1459	197	1	in	in	ADP
cana-1459	197	2	order	order	NOUN
cana-1459	197	3	to	to	PART
cana-1459	197	4	reduce	reduce	VERB
cana-1459	197	5	the	the	DET
cana-1459	197	6	pattern	pattern	NOUN
cana-1459	197	7	matching	matching	NOUN
cana-1459	197	8	error	error	NOUN
cana-1459	197	9	,	,	PUNCT
cana-1459	197	10	the	the	DET
cana-1459	197	11	weight	weight	NOUN
cana-1459	197	12	gets	get	AUX
cana-1459	197	13	updated	update	VERB
cana-1459	197	14	by	by	ADP
cana-1459	197	15	,	,	PUNCT
cana-1459	197	16	𝑄𝑖+1	𝑄𝑖+1	NOUN
cana-1459	198	1	=	=	PUNCT
cana-1459	198	2	𝑄𝑖	𝑄𝑖	PROPN
cana-1459	198	3	∗	∗	NOUN
cana-1459	198	4	𝛿	𝛿	PROPN
cana-1459	198	5	(	(	PUNCT
cana-1459	198	6	𝜕𝐸𝑅	𝜕𝐸𝑅	NOUN
cana-1459	198	7	𝜕𝑄𝑖	𝜕𝑄𝑖	NOUN
cana-1459	198	8	)	)	PUNCT
cana-1459	198	9	(	(	PUNCT
cana-1459	198	10	12	12	NUM
cana-1459	198	11	)	)	PUNCT
cana-1459	198	12	where	where	SCONJ
cana-1459	198	13	,	,	PUNCT
cana-1459	198	14	𝑄𝑖+1	𝑄𝑖+1	PROPN
cana-1459	198	15	denotes	denote	VERB
cana-1459	198	16	an	an	DET
cana-1459	198	17	updated	update	VERB
cana-1459	198	18	weight	weight	NOUN
cana-1459	198	19	,	,	PUNCT
cana-1459	198	20	𝑄𝑖indicates	𝑄𝑖indicates	PROPN
cana-1459	198	21	a	a	DET
cana-1459	198	22	current	current	ADJ
cana-1459	198	23	weight	weight	NOUN
cana-1459	198	24	,	,	PUNCT
cana-1459	198	25	𝛿indicates	𝛿indicate	VERB
cana-1459	198	26	a	a	DET
cana-1459	198	27	learning	learning	NOUN
cana-1459	198	28	rate	rate	NOUN
cana-1459	198	29	(	(	PUNCT
cana-1459	198	30	𝛿	𝛿	X
cana-1459	198	31	<	<	X
cana-1459	198	32	1	1	NUM
cana-1459	198	33	)	)	PUNCT
cana-1459	198	34	,	,	PUNCT
cana-1459	198	35	‘	'	PUNCT
cana-1459	198	36	(	(	PUNCT
cana-1459	198	37	𝜕𝐸𝑅	𝜕𝐸𝑅	PROPN
cana-1459	198	38	𝜕𝑄𝑖	𝜕𝑄𝑖	NOUN
cana-1459	198	39	)	)	PUNCT
cana-1459	198	40	’	'	PUNCT
cana-1459	198	41	denotes	denote	VERB
cana-1459	198	42	a	a	DET
cana-1459	198	43	partial	partial	ADJ
cana-1459	198	44	derivative	derivative	NOUN
cana-1459	198	45	of	of	ADP
cana-1459	198	46	the	the	DET
cana-1459	198	47	error	error	NOUN
cana-1459	198	48	‘	'	PUNCT
cana-1459	198	49	𝐸𝑅	𝐸𝑅	NOUN
cana-1459	198	50	’	'	PUNCT
cana-1459	198	51	with	with	ADP
cana-1459	198	52	respect	respect	NOUN
cana-1459	198	53	to	to	ADP
cana-1459	198	54	current	current	ADJ
cana-1459	198	55	weight	weight	NOUN
cana-1459	198	56	′𝑄𝑖	′𝑄𝑖	NOUN
cana-1459	198	57	’	'	PUNCT
cana-1459	198	58	.this	.this	PRON
cana-1459	198	59	procedure	procedure	NOUN
cana-1459	198	60	is	be	AUX
cana-1459	198	61	carried	carry	VERB
cana-1459	198	62	out	out	ADP
cana-1459	198	63	repeatedly	repeatedly	ADV
cana-1459	198	64	until	until	SCONJ
cana-1459	198	65	powell	powell	PROPN
cana-1459	198	66	's	's	PART
cana-1459	198	67	approach	approach	NOUN
cana-1459	198	68	determines	determine	VERB
cana-1459	198	69	the	the	DET
cana-1459	198	70	minimum	minimum	NOUN
cana-1459	198	71	error	error	NOUN
cana-1459	198	72	.	.	PUNCT
cana-1459	199	1	its	its	PRON
cana-1459	199	2	purpose	purpose	NOUN
cana-1459	199	3	is	be	AUX
cana-1459	199	4	to	to	PART
cana-1459	199	5	determine	determine	VERB
cana-1459	199	6	the	the	DET
cana-1459	199	7	local	local	ADJ
cana-1459	199	8	minimum	minimum	NOUN
cana-1459	199	9	of	of	ADP
cana-1459	199	10	a	a	DET
cana-1459	199	11	function	function	NOUN
cana-1459	199	12	or	or	CCONJ
cana-1459	199	13	error	error	NOUN
cana-1459	199	14	.	.	PUNCT
cana-1459	200	1	𝐹	𝐹	PROPN
cana-1459	200	2	=	=	NOUN
cana-1459	200	3	𝑎𝑟𝑔	𝑎𝑟𝑔	NOUN
cana-1459	200	4	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-1459	200	5	𝐸𝑅	𝐸𝑅	PROPN
cana-1459	200	6	(	(	PUNCT
cana-1459	200	7	13	13	NUM
cana-1459	200	8	)	)	PUNCT
cana-1459	200	9	where	where	SCONJ
cana-1459	200	10	,	,	PUNCT
cana-1459	200	11	𝐹	𝐹	PROPN
cana-1459	200	12	denotes	denote	VERB
cana-1459	200	13	an	an	DET
cana-1459	200	14	output	output	NOUN
cana-1459	200	15	of	of	ADP
cana-1459	200	16	powell	powell	PROPN
cana-1459	200	17	's	's	PART
cana-1459	200	18	method	method	NOUN
cana-1459	200	19	,	,	PUNCT
cana-1459	200	20	arg	arg	NOUN
cana-1459	200	21	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-1459	200	22	indicates	indicate	VERB
cana-1459	200	23	an	an	DET
cana-1459	200	24	argument	argument	NOUN
cana-1459	200	25	of	of	ADP
cana-1459	200	26	minimum	minimum	ADJ
cana-1459	200	27	function	function	NOUN
cana-1459	200	28	,	,	PUNCT
cana-1459	200	29	𝐸𝑅	𝐸𝑅	PROPN
cana-1459	200	30	denotes	denote	VERB
cana-1459	200	31	an	an	DET
cana-1459	200	32	error	error	NOUN
cana-1459	200	33	rate	rate	NOUN
cana-1459	200	34	.	.	PUNCT
cana-1459	201	1	consequently	consequently	ADV
cana-1459	201	2	,	,	PUNCT
cana-1459	201	3	the	the	DET
cana-1459	201	4	palmprint	palmprint	NOUN
cana-1459	201	5	detection	detection	NOUN
cana-1459	201	6	outcomes	outcome	NOUN
cana-1459	201	7	are	be	AUX
cana-1459	201	8	obtained	obtain	VERB
cana-1459	201	9	at	at	ADP
cana-1459	201	10	the	the	DET
cana-1459	201	11	output	output	NOUN
cana-1459	201	12	layer	layer	NOUN
cana-1459	201	13	.	.	PUNCT
cana-1459	202	1	the	the	DET
cana-1459	202	2	algorithmic	algorithmic	ADJ
cana-1459	202	3	process	process	NOUN
cana-1459	202	4	of	of	ADP
cana-1459	202	5	ruzicka	ruzicka	NOUN
cana-1459	202	6	indexive	indexive	ADJ
cana-1459	202	7	deep	deep	ADJ
cana-1459	202	8	multilayer	multilayer	PROPN
cana-1459	202	9	perceptron	perceptron	PROPN
cana-1459	202	10	neural	neural	ADJ
cana-1459	202	11	network	network	NOUN
cana-1459	202	12	is	be	AUX
cana-1459	202	13	given	give	VERB
cana-1459	202	14	below	below	ADP
cana-1459	202	15	,	,	PUNCT
cana-1459	202	16	//	//	NUM
cana-1459	202	17	algorithm	algorithm	NOUN
cana-1459	202	18	3	3	NUM
cana-1459	202	19	:	:	PUNCT
cana-1459	202	20	ruzicka	ruzicka	NOUN
cana-1459	202	21	indexive	indexive	ADJ
cana-1459	202	22	deep	deep	ADJ
cana-1459	202	23	multilayer	multilayer	PROPN
cana-1459	202	24	perceptron	perceptron	PROPN
cana-1459	202	25	neural	neural	ADJ
cana-1459	202	26	network	network	NOUN
cana-1459	202	27	input	input	NOUN
cana-1459	202	28	:	:	PUNCT
cana-1459	202	29	extracted	extract	VERB
cana-1459	202	30	relevant	relevant	ADJ
cana-1459	202	31	features	feature	NOUN
cana-1459	202	32	output	output	NOUN
cana-1459	202	33	:	:	PUNCT
cana-1459	202	34	increase	increase	VERB
cana-1459	202	35	the	the	DET
cana-1459	202	36	classification	classification	NOUN
cana-1459	202	37	accuracy	accuracy	NOUN
cana-1459	202	38	begin	begin	VERB
cana-1459	202	39	step	step	NOUN
cana-1459	202	40	1	1	NUM
cana-1459	202	41	:	:	PUNCT
cana-1459	202	42	number	number	NOUN
cana-1459	202	43	of	of	ADP
cana-1459	202	44	extracted	extract	VERB
cana-1459	202	45	features	feature	NOUN
cana-1459	202	46	vector‘𝑃𝐹𝑉‘taken	vector‘𝑃𝐹𝑉‘taken	VERB
cana-1459	202	47	at	at	ADP
cana-1459	202	48	the	the	DET
cana-1459	202	49	input	input	NOUN
cana-1459	202	50	layer	layer	NOUN
cana-1459	202	51	step	step	NOUN
cana-1459	202	52	2	2	NUM
cana-1459	202	53	:	:	PUNCT
cana-1459	202	54	for	for	ADP
cana-1459	202	55	each	each	DET
cana-1459	202	56	features	feature	NOUN
cana-1459	202	57	vector‘𝑃𝐹𝑉	vector‘𝑃𝐹𝑉	NOUN
cana-1459	202	58	communications	communication	NOUN
cana-1459	202	59	on	on	ADP
cana-1459	202	60	applied	apply	VERB
cana-1459	202	61	nonlinear	nonlinear	ADJ
cana-1459	202	62	analysis	analysis	NOUN
cana-1459	202	63	issn	issn	NOUN
cana-1459	202	64	:	:	PUNCT
cana-1459	202	65	1074	1074	NUM
cana-1459	202	66	-	-	PUNCT
cana-1459	202	67	133x	133x	NUM
cana-1459	202	68	vol	vol	NOUN
cana-1459	202	69	31	31	NUM
cana-1459	202	70	no	no	NOUN
cana-1459	202	71	.	.	PUNCT
cana-1459	203	1	8s	8s	PROPN
cana-1459	203	2	(	(	PUNCT
cana-1459	203	3	2024	2024	NUM
cana-1459	203	4	)	)	PUNCT
cana-1459	203	5	106	106	NUM
cana-1459	203	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	203	7	step	step	NOUN
cana-1459	203	8	3	3	NUM
cana-1459	203	9	:	:	PUNCT
cana-1459	203	10	assign	assign	VERB
cana-1459	203	11	weight	weight	NOUN
cana-1459	203	12	‘	'	PUNCT
cana-1459	203	13	𝑄𝑖	𝑄𝑖	NOUN
cana-1459	203	14	’	'	PUNCT
cana-1459	203	15	and	and	CCONJ
cana-1459	203	16	add	add	VERB
cana-1459	203	17	bias	bias	NOUN
cana-1459	203	18	‘	'	PUNCT
cana-1459	203	19	𝐵	𝐵	NOUN
cana-1459	203	20	’	'	PUNCT
cana-1459	203	21	step	step	NOUN
cana-1459	203	22	4	4	NUM
cana-1459	203	23	:	:	PUNCT
cana-1459	203	24	obtain	obtain	VERB
cana-1459	203	25	the	the	DET
cana-1459	203	26	neuron	neuron	NOUN
cana-1459	203	27	activity	activity	NOUN
cana-1459	203	28	at	at	ADP
cana-1459	203	29	input	input	NOUN
cana-1459	203	30	layer	layer	NOUN
cana-1459	203	31	‘	'	PUNCT
cana-1459	203	32	𝑍(𝑡	𝑍(𝑡	NOUN
cana-1459	203	33	)	)	PUNCT
cana-1459	203	34	’	'	PUNCT
cana-1459	203	35	step	step	NOUN
cana-1459	203	36	5	5	NUM
cana-1459	203	37	:	:	PUNCT
cana-1459	203	38	end	end	VERB
cana-1459	203	39	for	for	ADP
cana-1459	203	40	step	step	NOUN
cana-1459	203	41	6	6	NUM
cana-1459	203	42	:	:	PUNCT
cana-1459	203	43	for	for	ADP
cana-1459	203	44	eachextracted	eachextracted	ADJ
cana-1459	203	45	features	feature	NOUN
cana-1459	203	46	vectorwithstoredfeature	vectorwithstoredfeature	NOUN
cana-1459	203	47	vector–[hidden	vector–[hidden	NUM
cana-1459	203	48	layer	layer	NOUN
cana-1459	203	49	]	]	PUNCT
cana-1459	203	50	step	step	NOUN
cana-1459	203	51	7	7	NUM
cana-1459	203	52	:	:	PUNCT
cana-1459	203	53	measure	measure	VERB
cana-1459	203	54	the	the	DET
cana-1459	203	55	similarity	similarity	NOUN
cana-1459	203	56	using	use	VERB
cana-1459	203	57	(	(	PUNCT
cana-1459	203	58	10	10	NUM
cana-1459	203	59	)	)	PUNCT
cana-1459	203	60	step	step	NOUN
cana-1459	203	61	8	8	NUM
cana-1459	203	62	:	:	PUNCT
cana-1459	203	63	apply	apply	VERB
cana-1459	203	64	binary	binary	ADJ
cana-1459	203	65	step	step	NOUN
cana-1459	203	66	activation	activation	NOUN
cana-1459	203	67	function	function	NOUN
cana-1459	203	68	step	step	NOUN
cana-1459	203	69	9	9	NUM
cana-1459	203	70	:	:	PUNCT
cana-1459	203	71	if	if	SCONJ
cana-1459	203	72	(	(	PUNCT
cana-1459	203	73	𝐹	𝐹	PROPN
cana-1459	203	74	=	=	SYM
cana-1459	203	75	+1	+1	PROPN
cana-1459	203	76	)	)	PUNCT
cana-1459	203	77	then	then	ADV
cana-1459	203	78	step	step	VERB
cana-1459	203	79	10	10	NUM
cana-1459	203	80	:	:	PUNCT
cana-1459	203	81	features	feature	NOUN
cana-1459	203	82	correctly	correctly	ADV
cana-1459	203	83	matched	match	VERB
cana-1459	203	84	step	step	NOUN
cana-1459	203	85	11	11	NUM
cana-1459	203	86	:	:	PUNCT
cana-1459	203	87	else	else	ADV
cana-1459	203	88	step	step	NOUN
cana-1459	203	89	12	12	NUM
cana-1459	203	90	:	:	PUNCT
cana-1459	203	91	features	feature	NOUN
cana-1459	203	92	not	not	PART
cana-1459	203	93	matched	match	VERB
cana-1459	203	94	step	step	NOUN
cana-1459	203	95	13	13	NUM
cana-1459	203	96	:	:	PUNCT
cana-1459	203	97	end	end	VERB
cana-1459	203	98	if	if	SCONJ
cana-1459	203	99	step	step	NOUN
cana-1459	203	100	14	14	NUM
cana-1459	203	101	:	:	PUNCT
cana-1459	203	102	for	for	SCONJ
cana-1459	203	103	each	each	DET
cana-1459	203	104	classification	classification	NOUN
cana-1459	203	105	results	result	NOUN
cana-1459	203	106	step	step	VERB
cana-1459	203	107	15	15	NUM
cana-1459	203	108	:	:	PUNCT
cana-1459	203	109	measure	measure	VERB
cana-1459	203	110	the	the	DET
cana-1459	203	111	error	error	NOUN
cana-1459	203	112	rate	rate	NOUN
cana-1459	203	113	‘	'	PUNCT
cana-1459	203	114	𝐸𝑅	𝐸𝑅	NOUN
cana-1459	203	115	’	'	PUNCT
cana-1459	203	116	step	step	NOUN
cana-1459	203	117	16	16	NUM
cana-1459	203	118	:	:	PUNCT
cana-1459	203	119	update	update	VERB
cana-1459	203	120	the	the	DET
cana-1459	203	121	weight	weight	NOUN
cana-1459	203	122	‘	'	PUNCT
cana-1459	203	123	𝑄𝑖+1	𝑄𝑖+1	NOUN
cana-1459	203	124	’	'	PUNCT
cana-1459	203	125	step	step	NOUN
cana-1459	203	126	17	17	NUM
cana-1459	203	127	:	:	PUNCT
cana-1459	203	128	find	find	VERB
cana-1459	203	129	minimum	minimum	NOUN
cana-1459	203	130	error	error	NOUN
cana-1459	203	131	using	use	VERB
cana-1459	203	132	(	(	PUNCT
cana-1459	203	133	13	13	NUM
cana-1459	203	134	)	)	PUNCT
cana-1459	203	135	step	step	NOUN
cana-1459	203	136	18	18	NUM
cana-1459	203	137	:	:	PUNCT
cana-1459	203	138	obtain	obtain	VERB
cana-1459	203	139	palprint	palprint	NOUN
cana-1459	203	140	detection	detection	NOUN
cana-1459	203	141	results	result	NOUN
cana-1459	203	142	with	with	ADP
cana-1459	203	143	minimum	minimum	ADJ
cana-1459	203	144	error	error	NOUN
cana-1459	203	145	at	at	ADP
cana-1459	203	146	the	the	DET
cana-1459	203	147	output	output	NOUN
cana-1459	203	148	layer	layer	NOUN
cana-1459	203	149	end	end	VERB
cana-1459	203	150	algorithm	algorithm	NOUN
cana-1459	203	151	1	1	NUM
cana-1459	203	152	outlines	outline	VERB
cana-1459	203	153	the	the	DET
cana-1459	203	154	process	process	NOUN
cana-1459	203	155	of	of	ADP
cana-1459	203	156	palmprint	palmprint	NOUN
cana-1459	203	157	classification	classification	NOUN
cana-1459	203	158	and	and	CCONJ
cana-1459	203	159	detection	detection	NOUN
cana-1459	203	160	using	use	VERB
cana-1459	203	161	the	the	DET
cana-1459	203	162	ruzicka	ruzicka	NOUN
cana-1459	203	163	indexive	indexive	ADJ
cana-1459	203	164	deep	deep	ADJ
cana-1459	203	165	multilayer	multilayer	PROPN
cana-1459	203	166	perceptron	perceptron	PROPN
cana-1459	203	167	neural	neural	ADJ
cana-1459	203	168	network	network	NOUN
cana-1459	203	169	.	.	PUNCT
cana-1459	204	1	the	the	DET
cana-1459	204	2	extracted	extract	VERB
cana-1459	204	3	feature	feature	NOUN
cana-1459	204	4	vectors	vector	NOUN
cana-1459	204	5	are	be	AUX
cana-1459	204	6	fed	feed	VERB
cana-1459	204	7	into	into	ADP
cana-1459	204	8	the	the	DET
cana-1459	204	9	input	input	NOUN
cana-1459	204	10	layer	layer	NOUN
cana-1459	204	11	of	of	ADP
cana-1459	204	12	the	the	DET
cana-1459	204	13	network	network	NOUN
cana-1459	204	14	.	.	PUNCT
cana-1459	205	1	for	for	ADP
cana-1459	205	2	each	each	DET
cana-1459	205	3	input	input	NOUN
cana-1459	205	4	,	,	PUNCT
cana-1459	205	5	the	the	DET
cana-1459	205	6	network	network	NOUN
cana-1459	205	7	's	's	PART
cana-1459	205	8	weights	weight	NOUN
cana-1459	205	9	and	and	CCONJ
cana-1459	205	10	biases	bias	NOUN
cana-1459	205	11	are	be	AUX
cana-1459	205	12	assigned	assign	VERB
cana-1459	205	13	.	.	PUNCT
cana-1459	206	1	the	the	DET
cana-1459	206	2	inputs	input	NOUN
cana-1459	206	3	are	be	AUX
cana-1459	206	4	then	then	ADV
cana-1459	206	5	transmitted	transmit	VERB
cana-1459	206	6	to	to	ADP
cana-1459	206	7	the	the	DET
cana-1459	206	8	neurons	neuron	NOUN
cana-1459	206	9	in	in	ADP
cana-1459	206	10	the	the	DET
cana-1459	206	11	hidden	hide	VERB
cana-1459	206	12	layer.the	layer.the	DET
cana-1459	206	13	ruzicka	ruzicka	NOUN
cana-1459	206	14	index	index	NOUN
cana-1459	206	15	is	be	AUX
cana-1459	206	16	employed	employ	VERB
cana-1459	206	17	to	to	PART
cana-1459	206	18	quantify	quantify	VERB
cana-1459	206	19	the	the	DET
cana-1459	206	20	similarity	similarity	NOUN
cana-1459	206	21	between	between	ADP
cana-1459	206	22	the	the	DET
cana-1459	206	23	extracted	extract	VERB
cana-1459	206	24	feature	feature	NOUN
cana-1459	206	25	vectors	vector	NOUN
cana-1459	206	26	and	and	CCONJ
cana-1459	206	27	the	the	DET
cana-1459	206	28	pre	pre	ADJ
cana-1459	206	29	-	-	ADJ
cana-1459	206	30	stored	store	VERB
cana-1459	206	31	feature	feature	NOUN
cana-1459	206	32	vector.an	vector.an	NUM
cana-1459	206	33	activation	activation	NOUN
cana-1459	206	34	function	function	NOUN
cana-1459	206	35	with	with	ADP
cana-1459	206	36	a	a	DET
cana-1459	206	37	binary	binary	ADJ
cana-1459	206	38	step	step	NOUN
cana-1459	206	39	is	be	AUX
cana-1459	206	40	applied	apply	VERB
cana-1459	206	41	to	to	ADP
cana-1459	206	42	the	the	DET
cana-1459	206	43	computed	computed	ADJ
cana-1459	206	44	similarity	similarity	NOUN
cana-1459	206	45	coefficient	coefficient	NOUN
cana-1459	206	46	value	value	NOUN
cana-1459	206	47	.	.	PUNCT
cana-1459	207	1	after	after	ADP
cana-1459	207	2	assessing	assess	VERB
cana-1459	207	3	the	the	DET
cana-1459	207	4	similarity	similarity	NOUN
cana-1459	207	5	value	value	NOUN
cana-1459	207	6	,	,	PUNCT
cana-1459	207	7	the	the	DET
cana-1459	207	8	activation	activation	NOUN
cana-1459	207	9	function	function	NOUN
cana-1459	207	10	returns	return	VERB
cana-1459	207	11	a	a	DET
cana-1459	207	12	value	value	NOUN
cana-1459	207	13	of	of	ADP
cana-1459	207	14	either	either	CCONJ
cana-1459	207	15	"	"	PUNCT
cana-1459	207	16	1	1	NUM
cana-1459	207	17	"	"	PUNCT
cana-1459	207	18	or	or	CCONJ
cana-1459	207	19	"	"	PUNCT
cana-1459	207	20	0	0	NUM
cana-1459	207	21	.	.	PUNCT
cana-1459	207	22	"	"	PUNCT
cana-1459	208	1	a	a	DET
cana-1459	208	2	match	match	NOUN
cana-1459	208	3	of	of	ADP
cana-1459	208	4	'	'	PUNCT
cana-1459	208	5	0	0	NUM
cana-1459	208	6	'	'	PUNCT
cana-1459	208	7	indicates	indicate	VERB
cana-1459	208	8	a	a	DET
cana-1459	208	9	mismatch	mismatch	NOUN
cana-1459	208	10	in	in	ADP
cana-1459	208	11	the	the	DET
cana-1459	208	12	features	feature	NOUN
cana-1459	208	13	,	,	PUNCT
cana-1459	208	14	whereas	whereas	SCONJ
cana-1459	208	15	an	an	DET
cana-1459	208	16	output	output	NOUN
cana-1459	208	17	of	of	ADP
cana-1459	208	18	'	'	PUNCT
cana-1459	208	19	1	1	NUM
cana-1459	208	20	'	'	PUNCT
cana-1459	208	21	indicates	indicate	VERB
cana-1459	208	22	an	an	DET
cana-1459	208	23	accurate	accurate	ADJ
cana-1459	208	24	match	match	NOUN
cana-1459	208	25	..	..	PUNCT
cana-1459	208	26	following	follow	VERB
cana-1459	208	27	the	the	DET
cana-1459	208	28	classification	classification	NOUN
cana-1459	208	29	,	,	PUNCT
cana-1459	208	30	the	the	DET
cana-1459	208	31	error	error	NOUN
cana-1459	208	32	rate	rate	NOUN
cana-1459	208	33	is	be	AUX
cana-1459	208	34	calculated	calculate	VERB
cana-1459	208	35	.	.	PUNCT
cana-1459	209	1	for	for	ADP
cana-1459	209	2	each	each	DET
cana-1459	209	3	output	output	NOUN
cana-1459	209	4	,	,	PUNCT
cana-1459	209	5	the	the	DET
cana-1459	209	6	network	network	NOUN
cana-1459	209	7	's	's	PART
cana-1459	209	8	weights	weight	NOUN
cana-1459	209	9	are	be	AUX
cana-1459	209	10	updated	update	VERB
cana-1459	209	11	to	to	PART
cana-1459	209	12	minimize	minimize	VERB
cana-1459	209	13	the	the	DET
cana-1459	209	14	error	error	NOUN
cana-1459	209	15	.	.	PUNCT
cana-1459	210	1	finally	finally	ADV
cana-1459	210	2	,	,	PUNCT
cana-1459	210	3	the	the	DET
cana-1459	210	4	results	result	NOUN
cana-1459	210	5	of	of	ADP
cana-1459	210	6	palmprint	palmprint	NOUN
cana-1459	210	7	detection	detection	NOUN
cana-1459	210	8	are	be	AUX
cana-1459	210	9	presented	present	VERB
cana-1459	210	10	at	at	ADP
cana-1459	210	11	the	the	DET
cana-1459	210	12	output	output	NOUN
cana-1459	210	13	layer	layer	NOUN
cana-1459	210	14	,	,	PUNCT
cana-1459	210	15	leading	lead	VERB
cana-1459	210	16	to	to	ADP
cana-1459	210	17	improved	improved	ADJ
cana-1459	210	18	accuracy	accuracy	NOUN
cana-1459	210	19	.	.	PUNCT
cana-1459	211	1	4	4	X
cana-1459	211	2	.	.	X
cana-1459	211	3	experimental	experimental	ADJ
cana-1459	211	4	settings	setting	NOUN
cana-1459	211	5	matlab	matlab	PROPN
cana-1459	211	6	was	be	AUX
cana-1459	211	7	used	use	VERB
cana-1459	211	8	to	to	PART
cana-1459	211	9	perform	perform	VERB
cana-1459	211	10	experimental	experimental	ADJ
cana-1459	211	11	evaluations	evaluation	NOUN
cana-1459	211	12	of	of	ADP
cana-1459	211	13	the	the	DET
cana-1459	211	14	proposed	propose	VERB
cana-1459	211	15	lkridmpn	lkridmpn	NOUN
cana-1459	211	16	,	,	PUNCT
cana-1459	211	17	the	the	DET
cana-1459	211	18	current	current	ADJ
cana-1459	211	19	jclsr[1	jclsr[1	NOUN
cana-1459	211	20	]	]	PUNCT
cana-1459	211	21	,	,	PUNCT
cana-1459	211	22	and	and	CCONJ
cana-1459	211	23	the	the	DET
cana-1459	211	24	condensed	condensed	ADJ
cana-1459	211	25	palmnet	palmnet	NOUN
cana-1459	211	26	-	-	PUNCT
cana-1459	211	27	gabor	gabor	NOUN
cana-1459	212	1	[	[	X
cana-1459	212	2	2].using	2].using	NUM
cana-1459	212	3	data	datum	NOUN
cana-1459	212	4	from	from	ADP
cana-1459	212	5	https://www.kaggle.com/datasets/mahdieizadpanah/birjand-university-mobile-palmprint	https://www.kaggle.com/datasets/mahdieizadpanah/birjand-university-mobile-palmprint	NOUN
cana-1459	212	6	databasebmpd	databasebmpd	NOUN
cana-1459	212	7	,	,	PUNCT
cana-1459	212	8	the	the	DET
cana-1459	212	9	birjand	birjand	PROPN
cana-1459	212	10	university	university	PROPN
cana-1459	212	11	mobile	mobile	PROPN
cana-1459	212	12	palmprint	palmprint	PROPN
cana-1459	212	13	database	database	NOUN
cana-1459	212	14	(	(	PUNCT
cana-1459	212	15	bmpd	bmpd	PROPN
cana-1459	212	16	)	)	PUNCT
cana-1459	212	17	was	be	AUX
cana-1459	212	18	used	use	VERB
cana-1459	212	19	for	for	ADP
cana-1459	212	20	these	these	DET
cana-1459	212	21	assessments	assessment	NOUN
cana-1459	212	22	.	.	PUNCT
cana-1459	213	1	the	the	DET
cana-1459	213	2	palmprint	palmprint	NOUN
cana-1459	213	3	database	database	NOUN
cana-1459	213	4	includes	include	VERB
cana-1459	213	5	1640	1640	NUM
cana-1459	213	6	photos	photo	NOUN
cana-1459	213	7	taken	take	VERB
cana-1459	213	8	from	from	ADP
cana-1459	213	9	41	41	NUM
cana-1459	213	10	iranian	iranian	ADJ
cana-1459	213	11	women	woman	NOUN
cana-1459	213	12	's	's	PART
cana-1459	213	13	left	leave	VERB
cana-1459	213	14	and	and	CCONJ
cana-1459	213	15	communications	communication	NOUN
cana-1459	213	16	on	on	ADP
cana-1459	213	17	applied	apply	VERB
cana-1459	213	18	nonlinear	nonlinear	ADJ
cana-1459	213	19	analysis	analysis	NOUN
cana-1459	213	20	issn	issn	NOUN
cana-1459	213	21	:	:	PUNCT
cana-1459	213	22	1074	1074	NUM
cana-1459	213	23	-	-	PUNCT
cana-1459	213	24	133x	133x	NUM
cana-1459	213	25	vol	vol	NOUN
cana-1459	213	26	31	31	NUM
cana-1459	213	27	no	no	NOUN
cana-1459	213	28	.	.	PUNCT
cana-1459	214	1	8s	8s	PROPN
cana-1459	214	2	(	(	PUNCT
cana-1459	214	3	2024	2024	NUM
cana-1459	214	4	)	)	PUNCT
cana-1459	214	5	107	107	NUM
cana-1459	214	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	214	7	right	right	ADJ
cana-1459	214	8	hands	hand	NOUN
cana-1459	214	9	over	over	ADP
cana-1459	214	10	two	two	NUM
cana-1459	214	11	sessions	session	NOUN
cana-1459	214	12	separated	separate	VERB
cana-1459	214	13	by	by	ADP
cana-1459	214	14	two	two	NUM
cana-1459	214	15	weeks	week	NOUN
cana-1459	214	16	.	.	PUNCT
cana-1459	215	1	participants	participant	NOUN
cana-1459	215	2	were	be	AUX
cana-1459	215	3	told	tell	VERB
cana-1459	215	4	to	to	PART
cana-1459	215	5	place	place	VERB
cana-1459	215	6	their	their	PRON
cana-1459	215	7	hands	hand	NOUN
cana-1459	215	8	on	on	ADP
cana-1459	215	9	a	a	DET
cana-1459	215	10	black	black	ADJ
cana-1459	215	11	background	background	NOUN
cana-1459	215	12	during	during	ADP
cana-1459	215	13	the	the	DET
cana-1459	215	14	first	first	ADJ
cana-1459	215	15	session	session	NOUN
cana-1459	215	16	.	.	PUNCT
cana-1459	216	1	then	then	ADV
cana-1459	216	2	,	,	PUNCT
cana-1459	216	3	six	six	NUM
cana-1459	216	4	pictures	picture	NOUN
cana-1459	216	5	of	of	ADP
cana-1459	216	6	each	each	DET
cana-1459	216	7	palm	palm	NOUN
cana-1459	216	8	were	be	AUX
cana-1459	216	9	taken	take	VERB
cana-1459	216	10	in	in	ADP
cana-1459	216	11	an	an	DET
cana-1459	216	12	open	open	ADJ
cana-1459	216	13	setting	setting	NOUN
cana-1459	216	14	at	at	ADP
cana-1459	216	15	a	a	DET
cana-1459	216	16	distance	distance	NOUN
cana-1459	216	17	of	of	ADP
cana-1459	216	18	20	20	NUM
cana-1459	216	19	cm	cm	NOUN
cana-1459	216	20	from	from	ADP
cana-1459	216	21	the	the	DET
cana-1459	216	22	user	user	NOUN
cana-1459	216	23	's	's	PART
cana-1459	216	24	hand	hand	NOUN
cana-1459	216	25	.	.	PUNCT
cana-1459	217	1	100–1000	100–1000	NUM
cana-1459	217	2	pictures	picture	NOUN
cana-1459	217	3	are	be	AUX
cana-1459	217	4	taken	take	VERB
cana-1459	217	5	from	from	ADP
cana-1459	217	6	the	the	DET
cana-1459	217	7	database	database	NOUN
cana-1459	217	8	to	to	PART
cana-1459	217	9	carry	carry	VERB
cana-1459	217	10	out	out	ADP
cana-1459	217	11	the	the	DET
cana-1459	217	12	experiments.utilising	experiments.utilise	VERB
cana-1459	217	13	various	various	ADJ
cana-1459	217	14	performance	performance	NOUN
cana-1459	217	15	criteria	criterion	NOUN
cana-1459	217	16	,	,	PUNCT
cana-1459	217	17	including	include	VERB
cana-1459	217	18	peak	peak	NOUN
cana-1459	217	19	signal	signal	NOUN
cana-1459	217	20	to	to	PART
cana-1459	217	21	noise	noise	NOUN
cana-1459	217	22	ratio	ratio	NOUN
cana-1459	217	23	,	,	PUNCT
cana-1459	217	24	palmprint	palmprint	VERB
cana-1459	217	25	detection	detection	NOUN
cana-1459	217	26	accuracy	accuracy	NOUN
cana-1459	217	27	,	,	PUNCT
cana-1459	217	28	error	error	NOUN
cana-1459	217	29	rate	rate	NOUN
cana-1459	217	30	,	,	PUNCT
cana-1459	217	31	and	and	CCONJ
cana-1459	217	32	computing	computing	NOUN
cana-1459	217	33	time	time	NOUN
cana-1459	217	34	,	,	PUNCT
cana-1459	217	35	the	the	DET
cana-1459	217	36	effectiveness	effectiveness	NOUN
cana-1459	217	37	of	of	ADP
cana-1459	217	38	suggested	suggest	VERB
cana-1459	217	39	and	and	CCONJ
cana-1459	217	40	current	current	ADJ
cana-1459	217	41	methods	method	NOUN
cana-1459	217	42	is	be	AUX
cana-1459	217	43	examined	examine	VERB
cana-1459	217	44	.	.	PUNCT
cana-1459	218	1	4.1	4.1	NUM
cana-1459	218	2	evaluates	evaluate	VERB
cana-1459	218	3	the	the	DET
cana-1459	218	4	performance	performance	NOUN
cana-1459	218	5	of	of	ADP
cana-1459	218	6	the	the	DET
cana-1459	218	7	peak	peak	NOUN
cana-1459	218	8	signal	signal	NOUN
cana-1459	218	9	to	to	PART
cana-1459	218	10	noise	noise	VERB
cana-1459	218	11	ratio	ratio	NOUN
cana-1459	218	12	a	a	DET
cana-1459	218	13	statistic	statistic	NOUN
cana-1459	218	14	used	use	VERB
cana-1459	218	15	in	in	ADP
cana-1459	218	16	image	image	NOUN
cana-1459	218	17	processing	processing	NOUN
cana-1459	218	18	to	to	PART
cana-1459	218	19	measure	measure	VERB
cana-1459	218	20	the	the	DET
cana-1459	218	21	quality	quality	NOUN
cana-1459	218	22	difference	difference	NOUN
cana-1459	218	23	between	between	ADP
cana-1459	218	24	an	an	DET
cana-1459	218	25	original	original	ADJ
cana-1459	218	26	and	and	CCONJ
cana-1459	218	27	a	a	DET
cana-1459	218	28	denoised	denoise	VERB
cana-1459	218	29	image	image	NOUN
cana-1459	218	30	is	be	AUX
cana-1459	218	31	the	the	DET
cana-1459	218	32	peak	peak	NOUN
cana-1459	218	33	signal	signal	NOUN
cana-1459	218	34	-	-	PUNCT
cana-1459	218	35	to	to	ADP
cana-1459	218	36	-	-	PUNCT
cana-1459	218	37	noise	noise	NOUN
cana-1459	218	38	ratio	ratio	NOUN
cana-1459	218	39	.	.	PUNCT
cana-1459	219	1	it	it	PRON
cana-1459	219	2	quantifies	quantify	VERB
cana-1459	219	3	the	the	DET
cana-1459	219	4	potency	potency	NOUN
cana-1459	219	5	of	of	ADP
cana-1459	219	6	the	the	DET
cana-1459	219	7	noise	noise	NOUN
cana-1459	219	8	that	that	PRON
cana-1459	219	9	degrades	degrade	VERB
cana-1459	219	10	the	the	DET
cana-1459	219	11	image	image	NOUN
cana-1459	219	12	quality	quality	NOUN
cana-1459	219	13	in	in	ADP
cana-1459	219	14	relation	relation	NOUN
cana-1459	219	15	to	to	ADP
cana-1459	219	16	the	the	DET
cana-1459	219	17	highest	high	ADJ
cana-1459	219	18	pixel	pixel	NOUN
cana-1459	219	19	value	value	NOUN
cana-1459	219	20	that	that	PRON
cana-1459	219	21	may	may	AUX
cana-1459	219	22	be	be	AUX
cana-1459	219	23	achieved	achieve	VERB
cana-1459	219	24	.	.	PUNCT
cana-1459	220	1	the	the	DET
cana-1459	220	2	subsequent	subsequent	ADJ
cana-1459	220	3	mathematical	mathematical	ADJ
cana-1459	220	4	calculation	calculation	NOUN
cana-1459	220	5	is	be	AUX
cana-1459	220	6	used	use	VERB
cana-1459	220	7	to	to	PART
cana-1459	220	8	measure	measure	VERB
cana-1459	220	9	it	it	PRON
cana-1459	220	10	,	,	PUNCT
cana-1459	220	11	,	,	PUNCT
cana-1459	220	12	𝑃𝑆𝑁𝑅	𝑃𝑆𝑁𝑅	NOUN
cana-1459	220	13	=	=	PUNCT
cana-1459	220	14	10	10	NUM
cana-1459	220	15	∗	∗	NOUN
cana-1459	220	16	𝑙𝑜𝑔10	𝑙𝑜𝑔10	PROPN
cana-1459	220	17	(	(	PUNCT
cana-1459	220	18	(	(	PUNCT
cana-1459	220	19	𝑀𝑥	𝑀𝑥	PROPN
cana-1459	220	20	(	(	PUNCT
cana-1459	220	21	𝑍𝑖))2	𝑍𝑖))2	PROPN
cana-1459	220	22	𝑚𝑠𝑒	𝑚𝑠𝑒	X
cana-1459	220	23	)	)	PUNCT
cana-1459	220	24	(	(	PUNCT
cana-1459	220	25	14	14	NUM
cana-1459	220	26	)	)	PUNCT
cana-1459	220	27	𝑚𝑠𝑒	𝑚𝑠𝑒	VERB
cana-1459	221	1	=	=	PUNCT
cana-1459	221	2	[	[	X
cana-1459	221	3	𝑃𝐼𝑜	𝑃𝐼𝑜	NOUN
cana-1459	221	4	−	−	PROPN
cana-1459	221	5	𝑃𝐼𝐷]2	𝑃𝐼𝐷]2	PROPN
cana-1459	221	6	(	(	PUNCT
cana-1459	221	7	15	15	NUM
cana-1459	221	8	)	)	PUNCT
cana-1459	221	9	from	from	ADP
cana-1459	221	10	the	the	DET
cana-1459	221	11	above	above	ADJ
cana-1459	221	12	equations	equation	NOUN
cana-1459	221	13	(	(	PUNCT
cana-1459	221	14	14	14	NUM
cana-1459	221	15	)	)	PUNCT
cana-1459	221	16	and	and	CCONJ
cana-1459	221	17	(	(	PUNCT
cana-1459	221	18	15	15	NUM
cana-1459	221	19	)	)	PUNCT
cana-1459	221	20	,	,	PUNCT
cana-1459	221	21	𝑃𝑆𝑁𝑅	𝑃𝑆𝑁𝑅	PROPN
cana-1459	221	22	indicates	indicate	VERB
cana-1459	221	23	a	a	DET
cana-1459	221	24	peak	peak	NOUN
cana-1459	221	25	signal	signal	NOUN
cana-1459	221	26	to	to	PART
cana-1459	221	27	noise	noise	VERB
cana-1459	221	28	ratio	ratio	NOUN
cana-1459	221	29	,	,	PUNCT
cana-1459	221	30	‘	'	PUNCT
cana-1459	221	31	𝑀𝑥	𝑀𝑥	PROPN
cana-1459	221	32	(	(	PUNCT
cana-1459	221	33	𝑍𝑖	𝑍𝑖	PROPN
cana-1459	221	34	)	)	PUNCT
cana-1459	221	35	’	'	PUNCT
cana-1459	221	36	represents	represent	VERB
cana-1459	221	37	a	a	DET
cana-1459	221	38	maximum	maximum	ADJ
cana-1459	221	39	possible	possible	ADJ
cana-1459	221	40	pixel	pixel	NOUN
cana-1459	221	41	value	value	NOUN
cana-1459	221	42	(	(	PUNCT
cana-1459	221	43	i.e.255	i.e.255	PROPN
cana-1459	221	44	)	)	PUNCT
cana-1459	221	45	,	,	PUNCT
cana-1459	221	46	𝑚𝑠𝑒	𝑚𝑠𝑒	PROPN
cana-1459	221	47	indicates	indicate	VERB
cana-1459	221	48	a	a	DET
cana-1459	221	49	mean	mean	ADJ
cana-1459	221	50	square	square	NOUN
cana-1459	221	51	error	error	NOUN
cana-1459	221	52	,	,	PUNCT
cana-1459	221	53	𝑃𝐼𝑜	𝑃𝐼𝑜	NOUN
cana-1459	221	54	indicates	indicate	VERB
cana-1459	221	55	the	the	DET
cana-1459	221	56	original	original	ADJ
cana-1459	221	57	sizes	size	NOUN
cana-1459	221	58	of	of	ADP
cana-1459	221	59	input	input	NOUN
cana-1459	221	60	palm	palm	NOUN
cana-1459	221	61	image	image	NOUN
cana-1459	221	62	,	,	PUNCT
cana-1459	221	63	𝑃𝐼𝐷	𝑃𝐼𝐷	PROPN
cana-1459	221	64	indicates	indicate	VERB
cana-1459	221	65	de	de	ADJ
cana-1459	221	66	-	-	ADJ
cana-1459	221	67	noised	noised	ADJ
cana-1459	221	68	palm	palm	NOUN
cana-1459	221	69	image	image	NOUN
cana-1459	221	70	.	.	PUNCT
cana-1459	222	1	the	the	DET
cana-1459	222	2	psnr	psnr	NOUN
cana-1459	222	3	is	be	AUX
cana-1459	222	4	measured	measure	VERB
cana-1459	222	5	in	in	ADP
cana-1459	222	6	terms	term	NOUN
cana-1459	222	7	of	of	ADP
cana-1459	222	8	decibels	decibel	NOUN
cana-1459	222	9	(	(	PUNCT
cana-1459	222	10	db	db	PROPN
cana-1459	222	11	)	)	PUNCT
cana-1459	222	12	.	.	PUNCT
cana-1459	223	1	table	table	NOUN
cana-1459	223	2	i	i	PRON
cana-1459	223	3	results	result	VERB
cana-1459	223	4	of	of	ADP
cana-1459	223	5	the	the	DET
cana-1459	223	6	peak	peak	NOUN
cana-1459	223	7	signal	signal	NOUN
cana-1459	223	8	to	to	PART
cana-1459	223	9	noise	noise	VERB
cana-1459	223	10	ratio	ratio	NOUN
cana-1459	223	11	experiment	experiment	NOUN
cana-1459	223	12	palmprintsize	palmprintsize	NOUN
cana-1459	223	13	of	of	ADP
cana-1459	223	14	images	image	NOUN
cana-1459	223	15	(	(	PUNCT
cana-1459	223	16	mb	mb	NOUN
cana-1459	223	17	)	)	PUNCT
cana-1459	223	18	peak	peak	NOUN
cana-1459	223	19	signal	signal	NOUN
cana-1459	223	20	to	to	PART
cana-1459	223	21	noise	noise	VERB
cana-1459	223	22	ratio	ratio	NOUN
cana-1459	223	23	(	(	PUNCT
cana-1459	223	24	db	db	PROPN
cana-1459	223	25	)	)	PUNCT
cana-1459	223	26	lkridmpn	lkridmpn	PROPN
cana-1459	223	27	jclsr	jclsr	PROPN
cana-1459	223	28	simplified	simplify	VERB
cana-1459	223	29	palmnet	palmnet	NOUN
cana-1459	223	30	-	-	PUNCT
cana-1459	223	31	gabor	gabor	NOUN
cana-1459	223	32	1.15	1.15	NUM
cana-1459	223	33	64.60	64.60	NUM
cana-1459	224	1	60.17	60.17	NUM
cana-1459	224	2	56.08	56.08	NUM
cana-1459	224	3	1.44	1.44	NUM
cana-1459	224	4	63.02	63.02	NUM
cana-1459	224	5	60.52	60.52	NUM
cana-1459	224	6	55.26	55.26	NUM
cana-1459	224	7	1.42	1.42	NUM
cana-1459	224	8	62.55	62.55	NUM
cana-1459	224	9	59.50	59.50	NUM
cana-1459	224	10	55.66	55.66	NUM
cana-1459	224	11	1.26	1.26	NUM
cana-1459	224	12	63.02	63.02	NUM
cana-1459	224	13	59.83	59.83	NUM
cana-1459	224	14	56.53	56.53	NUM
cana-1459	224	15	1.53	1.53	NUM
cana-1459	224	16	58.02	58.02	NUM
cana-1459	224	17	55.46	55.46	NUM
cana-1459	224	18	53.64	53.64	NUM
cana-1459	224	19	1.68	1.68	NUM
cana-1459	224	20	56.53	56.53	NUM
cana-1459	224	21	53.01	53.01	NUM
cana-1459	224	22	51.48	51.48	NUM
cana-1459	224	23	1.55	1.55	NUM
cana-1459	224	24	57.76	57.76	NUM
cana-1459	224	25	55.87	55.87	NUM
cana-1459	224	26	52.56	52.56	NUM
cana-1459	224	27	1.86	1.86	NUM
cana-1459	224	28	55.87	55.87	NUM
cana-1459	224	29	54.87	54.87	NUM
cana-1459	224	30	50.51	50.51	NUM
cana-1459	224	31	1.84	1.84	NUM
cana-1459	224	32	54.87	54.87	NUM
cana-1459	224	33	52	52	NUM
cana-1459	224	34	49.44	49.44	NUM
cana-1459	224	35	1.82	1.82	NUM
cana-1459	224	36	53.01	53.01	NUM
cana-1459	224	37	51.60	51.60	NUM
cana-1459	224	38	48.85	48.85	NUM
cana-1459	224	39	communications	communication	NOUN
cana-1459	224	40	on	on	ADP
cana-1459	224	41	applied	apply	VERB
cana-1459	224	42	nonlinear	nonlinear	ADJ
cana-1459	224	43	analysis	analysis	NOUN
cana-1459	224	44	issn	issn	NOUN
cana-1459	224	45	:	:	PUNCT
cana-1459	224	46	1074	1074	NUM
cana-1459	224	47	-	-	PUNCT
cana-1459	224	48	133x	133x	NUM
cana-1459	224	49	vol	vol	NOUN
cana-1459	224	50	31	31	NUM
cana-1459	224	51	no	no	NOUN
cana-1459	224	52	.	.	PUNCT
cana-1459	225	1	8s	8s	PROPN
cana-1459	225	2	(	(	PUNCT
cana-1459	225	3	2024	2024	NUM
cana-1459	225	4	)	)	PUNCT
cana-1459	225	5	108	108	NUM
cana-1459	225	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	225	7	figure.5	figure.5	PROPN
cana-1459	225	8	.	.	PUNCT
cana-1459	226	1	peak	peak	PROPN
cana-1459	226	2	signal	signal	NOUN
cana-1459	226	3	to	to	PART
cana-1459	226	4	noise	noise	VERB
cana-1459	226	5	ratio	ratio	NOUN
cana-1459	226	6	graphically	graphically	ADV
cana-1459	226	7	represented	represent	VERB
cana-1459	226	8	the	the	DET
cana-1459	226	9	peak	peak	NOUN
cana-1459	226	10	signal	signal	NOUN
cana-1459	226	11	to	to	PART
cana-1459	226	12	noise	noise	VERB
cana-1459	226	13	ratio	ratio	NOUN
cana-1459	226	14	performance	performance	NOUN
cana-1459	226	15	results	result	NOUN
cana-1459	226	16	are	be	AUX
cana-1459	226	17	shown	show	VERB
cana-1459	226	18	in	in	ADP
cana-1459	226	19	figure	figure	NOUN
cana-1459	226	20	5	5	NUM
cana-1459	226	21	as	as	ADP
cana-1459	226	22	a	a	DET
cana-1459	226	23	function	function	NOUN
cana-1459	226	24	of	of	ADP
cana-1459	226	25	input	input	NOUN
cana-1459	226	26	palmprint	palmprint	NOUN
cana-1459	226	27	image	image	NOUN
cana-1459	226	28	size	size	NOUN
cana-1459	226	29	,	,	PUNCT
cana-1459	226	30	expressed	express	VERB
cana-1459	226	31	in	in	ADP
cana-1459	226	32	kilobytes	kilobyte	NOUN
cana-1459	226	33	(	(	PUNCT
cana-1459	226	34	kb	kb	PROPN
cana-1459	226	35	)	)	PUNCT
cana-1459	226	36	.	.	PUNCT
cana-1459	227	1	three	three	NUM
cana-1459	227	2	techniques	technique	NOUN
cana-1459	227	3	are	be	AUX
cana-1459	227	4	used	use	VERB
cana-1459	227	5	to	to	PART
cana-1459	227	6	calculate	calculate	VERB
cana-1459	227	7	psnr	psnr	NOUN
cana-1459	227	8	:	:	PUNCT
cana-1459	227	9	the	the	DET
cana-1459	227	10	simplified	simplified	ADJ
cana-1459	227	11	palmnet	palmnet	NOUN
cana-1459	227	12	-	-	PUNCT
cana-1459	227	13	gabor	gabor	NOUN
cana-1459	228	1	[	[	X
cana-1459	228	2	2	2	NUM
cana-1459	228	3	]	]	PUNCT
cana-1459	228	4	,	,	PUNCT
cana-1459	228	5	the	the	DET
cana-1459	228	6	jclsr	jclsr	NOUN
cana-1459	228	7	[	[	X
cana-1459	228	8	1	1	NUM
cana-1459	228	9	]	]	PUNCT
cana-1459	228	10	,	,	PUNCT
cana-1459	228	11	and	and	CCONJ
cana-1459	228	12	lkridmpn	lkridmpn	PROPN
cana-1459	228	13	.	.	PUNCT
cana-1459	229	1	the	the	DET
cana-1459	229	2	approach	approach	NOUN
cana-1459	229	3	with	with	ADP
cana-1459	229	4	the	the	DET
cana-1459	229	5	highest	high	ADJ
cana-1459	229	6	psnr	psnr	NOUN
cana-1459	229	7	performance	performance	NOUN
cana-1459	229	8	among	among	ADP
cana-1459	229	9	these	these	DET
cana-1459	229	10	three	three	NUM
cana-1459	229	11	is	be	AUX
cana-1459	229	12	the	the	DET
cana-1459	229	13	lkridmpn	lkridmpn	NOUN
cana-1459	229	14	methodology	methodology	NOUN
cana-1459	229	15	.	.	PUNCT
cana-1459	230	1	laplacian	laplacian	ADJ
cana-1459	230	2	kernel	kernel	PROPN
cana-1459	230	3	gamma	gamma	PROPN
cana-1459	230	4	map	map	NOUN
cana-1459	230	5	filtering	filtering	NOUN
cana-1459	230	6	is	be	AUX
cana-1459	230	7	the	the	DET
cana-1459	230	8	means	mean	NOUN
cana-1459	230	9	by	by	ADP
cana-1459	230	10	which	which	PRON
cana-1459	230	11	the	the	DET
cana-1459	230	12	lkridmpn	lkridmpn	NOUN
cana-1459	230	13	approach	approach	NOUN
cana-1459	230	14	is	be	AUX
cana-1459	230	15	improved	improve	VERB
cana-1459	230	16	.	.	PUNCT
cana-1459	231	1	the	the	DET
cana-1459	231	2	pixels	pixel	NOUN
cana-1459	231	3	of	of	ADP
cana-1459	231	4	the	the	DET
cana-1459	231	5	image	image	NOUN
cana-1459	231	6	are	be	AUX
cana-1459	231	7	first	first	ADV
cana-1459	231	8	placed	place	VERB
cana-1459	231	9	inside	inside	ADP
cana-1459	231	10	a	a	DET
cana-1459	231	11	filtering	filtering	NOUN
cana-1459	231	12	window	window	NOUN
cana-1459	231	13	.	.	PUNCT
cana-1459	232	1	to	to	PART
cana-1459	232	2	calculate	calculate	VERB
cana-1459	232	3	the	the	DET
cana-1459	232	4	probability	probability	NOUN
cana-1459	232	5	between	between	ADP
cana-1459	232	6	the	the	DET
cana-1459	232	7	pixels	pixel	NOUN
cana-1459	232	8	and	and	CCONJ
cana-1459	232	9	the	the	DET
cana-1459	232	10	mean	mean	ADJ
cana-1459	232	11	value	value	NOUN
cana-1459	232	12	,	,	PUNCT
cana-1459	232	13	the	the	DET
cana-1459	232	14	laplacian	laplacian	ADJ
cana-1459	232	15	kernel	kernel	NOUN
cana-1459	232	16	function	function	NOUN
cana-1459	232	17	is	be	AUX
cana-1459	232	18	employed	employ	VERB
cana-1459	232	19	.	.	PUNCT
cana-1459	233	1	noise	noise	NOUN
cana-1459	233	2	-	-	PUNCT
cana-1459	233	3	producing	produce	VERB
cana-1459	233	4	pixels	pixel	NOUN
cana-1459	233	5	are	be	AUX
cana-1459	233	6	those	those	PRON
cana-1459	233	7	that	that	PRON
cana-1459	233	8	exhibit	exhibit	VERB
cana-1459	233	9	a	a	DET
cana-1459	233	10	large	large	ADJ
cana-1459	233	11	deviation	deviation	NOUN
cana-1459	233	12	from	from	ADP
cana-1459	233	13	the	the	DET
cana-1459	233	14	mean	mean	NOUN
cana-1459	233	15	.	.	PUNCT
cana-1459	234	1	as	as	ADP
cana-1459	234	2	a	a	DET
cana-1459	234	3	result	result	NOUN
cana-1459	234	4	,	,	PUNCT
cana-1459	234	5	the	the	DET
cana-1459	234	6	algorithm	algorithm	NOUN
cana-1459	234	7	enhances	enhance	VERB
cana-1459	234	8	image	image	NOUN
cana-1459	234	9	quality	quality	NOUN
cana-1459	234	10	by	by	ADP
cana-1459	234	11	filtering	filter	VERB
cana-1459	234	12	out	out	ADP
cana-1459	234	13	the	the	DET
cana-1459	234	14	noisy	noisy	ADJ
cana-1459	234	15	pixels	pixel	NOUN
cana-1459	234	16	.	.	PUNCT
cana-1459	235	1	the	the	DET
cana-1459	235	2	overall	overall	ADJ
cana-1459	235	3	results	result	NOUN
cana-1459	235	4	indicate	indicate	VERB
cana-1459	235	5	a	a	DET
cana-1459	235	6	5	5	NUM
cana-1459	235	7	%	%	NOUN
cana-1459	235	8	increase	increase	NOUN
cana-1459	235	9	in	in	ADP
cana-1459	235	10	psnr	psnr	NOUN
cana-1459	235	11	compared	compare	VERB
cana-1459	235	12	to	to	ADP
cana-1459	235	13	the	the	DET
cana-1459	235	14	existing	exist	VERB
cana-1459	235	15	jclsr	jclsr	NOUN
cana-1459	235	16	[	[	X
cana-1459	235	17	1	1	NUM
cana-1459	235	18	]	]	PUNCT
cana-1459	235	19	,	,	PUNCT
cana-1459	235	20	and	and	CCONJ
cana-1459	235	21	an	an	DET
cana-1459	235	22	11	11	NUM
cana-1459	235	23	%	%	NOUN
cana-1459	235	24	increase	increase	NOUN
cana-1459	235	25	when	when	SCONJ
cana-1459	235	26	compared	compare	VERB
cana-1459	235	27	to	to	ADP
cana-1459	235	28	the	the	DET
cana-1459	235	29	simplified	simplified	ADJ
cana-1459	235	30	palmnet	palmnet	NOUN
cana-1459	235	31	-	-	PUNCT
cana-1459	235	32	gabor	gabor	NOUN
cana-1459	235	33	[	[	X
cana-1459	235	34	2	2	NUM
cana-1459	235	35	]	]	SYM
cana-1459	235	36	4.2	4.2	NUM
cana-1459	235	37	performance	performance	NOUN
cana-1459	235	38	analysis	analysis	NOUN
cana-1459	235	39	of	of	ADP
cana-1459	235	40	palmprint	palmprint	NOUN
cana-1459	235	41	detection	detection	NOUN
cana-1459	235	42	accuracy	accuracy	NOUN
cana-1459	235	43	the	the	DET
cana-1459	235	44	ratio	ratio	NOUN
cana-1459	235	45	of	of	ADP
cana-1459	235	46	successfully	successfully	ADV
cana-1459	235	47	identified	identify	VERB
cana-1459	235	48	fingerprint	fingerprint	NOUN
cana-1459	235	49	images	image	NOUN
cana-1459	235	50	to	to	ADP
cana-1459	235	51	all	all	DET
cana-1459	235	52	fingerprint	fingerprint	NOUN
cana-1459	235	53	images	image	NOUN
cana-1459	235	54	is	be	AUX
cana-1459	235	55	known	know	VERB
cana-1459	235	56	as	as	ADP
cana-1459	235	57	the	the	DET
cana-1459	235	58	accuracy	accuracy	NOUN
cana-1459	235	59	of	of	ADP
cana-1459	235	60	palmprint	palmprint	NOUN
cana-1459	235	61	detection	detection	NOUN
cana-1459	235	62	.	.	PUNCT
cana-1459	236	1	usually	usually	ADV
cana-1459	236	2	,	,	PUNCT
cana-1459	236	3	this	this	DET
cana-1459	236	4	formula	formula	NOUN
cana-1459	236	5	is	be	AUX
cana-1459	236	6	used	use	VERB
cana-1459	236	7	to	to	PART
cana-1459	236	8	calculate	calculate	VERB
cana-1459	236	9	accuracy	accuracy	NOUN
cana-1459	236	10	,	,	PUNCT
cana-1459	236	11	𝑃𝐷𝐴	𝑃𝐷𝐴	PROPN
cana-1459	236	12	=	=	SYM
cana-1459	236	13	∑	∑	PROPN
cana-1459	236	14	(	(	PUNCT
cana-1459	236	15	𝐶𝑜𝑟𝑟𝑒𝑐𝑡𝑙𝑦	𝐶𝑜𝑟𝑟𝑒𝑐𝑡𝑙𝑦	PROPN
cana-1459	236	16	𝑑𝑒𝑡𝑒𝑐𝑡𝑒𝑑	𝑑𝑒𝑡𝑒𝑐𝑡𝑒𝑑	NOUN
cana-1459	236	17	𝑝𝑎𝑙𝑚𝑝𝑟𝑖𝑛𝑡	𝑝𝑎𝑙𝑚𝑝𝑟𝑖𝑛𝑡	ADJ
cana-1459	236	18	𝑖𝑚𝑎𝑔𝑒𝑠	𝑖𝑚𝑎𝑔𝑒𝑠	NOUN
cana-1459	236	19	𝑃𝐼𝑖	𝑃𝐼𝑖	NOUN
cana-1459	236	20	)	)	PUNCT
cana-1459	236	21	𝑛	𝑛	PRON
cana-1459	236	22	𝑖=1	𝑖=1	PROPN
cana-1459	236	23	∗	∗	NOUN
cana-1459	236	24	100	100	NUM
cana-1459	236	25	(	(	PUNCT
cana-1459	236	26	16	16	NUM
cana-1459	236	27	)	)	PUNCT
cana-1459	236	28	where	where	SCONJ
cana-1459	236	29	,	,	PUNCT
cana-1459	236	30	𝑃𝐷𝐴	𝑃𝐷𝐴	PROPN
cana-1459	236	31	indicates	indicate	VERB
cana-1459	236	32	a	a	DET
cana-1459	236	33	palmprint	palmprint	NOUN
cana-1459	236	34	detection	detection	NOUN
cana-1459	236	35	accuracy	accuracy	NOUN
cana-1459	236	36	,	,	PUNCT
cana-1459	236	37	𝑃𝐼	𝑃𝐼	PROPN
cana-1459	236	38	denotes	denote	VERB
cana-1459	236	39	a	a	DET
cana-1459	236	40	palmprint	palmprint	NOUN
cana-1459	236	41	images	image	NOUN
cana-1459	236	42	.	.	PUNCT
cana-1459	237	1	in	in	ADP
cana-1459	237	2	terms	term	NOUN
cana-1459	237	3	of	of	ADP
cana-1459	237	4	percentages	percentage	NOUN
cana-1459	237	5	(	(	PUNCT
cana-1459	237	6	%	%	INTJ
cana-1459	237	7	)	)	PUNCT
cana-1459	237	8	,	,	PUNCT
cana-1459	237	9	the	the	DET
cana-1459	237	10	accuracy	accuracy	NOUN
cana-1459	237	11	is	be	AUX
cana-1459	237	12	measured	measure	VERB
cana-1459	237	13	.	.	PUNCT
cana-1459	238	1	30	30	NUM
cana-1459	238	2	35	35	NUM
cana-1459	238	3	40	40	NUM
cana-1459	238	4	45	45	NUM
cana-1459	238	5	50	50	NUM
cana-1459	238	6	55	55	NUM
cana-1459	238	7	60	60	NUM
cana-1459	238	8	65	65	NUM
cana-1459	238	9	70	70	NUM
cana-1459	238	10	1.15	1.15	NUM
cana-1459	238	11	1.44	1.44	NUM
cana-1459	238	12	1.42	1.42	NUM
cana-1459	238	13	1.26	1.26	NUM
cana-1459	238	14	1.53	1.53	NUM
cana-1459	238	15	1.68	1.68	NUM
cana-1459	238	16	1.55	1.55	NUM
cana-1459	238	17	1.86	1.86	NUM
cana-1459	238	18	1.84	1.84	NUM
cana-1459	238	19	1.82	1.82	NUM
cana-1459	238	20	p	p	NOUN
cana-1459	238	21	ea	ea	X
cana-1459	238	22	k	k	PROPN
cana-1459	238	23	s	s	VERB
cana-1459	238	24	ig	ig	PROPN
cana-1459	238	25	n	n	DET
cana-1459	238	26	a	a	DET
cana-1459	238	27	l	l	NOUN
cana-1459	238	28	to	to	ADP
cana-1459	238	29	n	n	PROPN
cana-1459	238	30	o	o	NOUN
cana-1459	238	31	is	be	AUX
cana-1459	238	32	e	e	X
cana-1459	238	33	ra	ra	NOUN
cana-1459	238	34	ti	ti	NOUN
cana-1459	238	35	o	o	INTJ
cana-1459	239	1	(	(	PUNCT
cana-1459	239	2	d	d	NOUN
cana-1459	239	3	b	b	PROPN
cana-1459	239	4	)	)	PUNCT
cana-1459	239	5	palmprint	palmprint	NOUN
cana-1459	239	6	image	image	NOUN
cana-1459	239	7	size	size	NOUN
cana-1459	239	8	(	(	PUNCT
cana-1459	239	9	mb	mb	NOUN
cana-1459	239	10	)	)	PUNCT
cana-1459	239	11	lkridmpn	lkridmpn	NOUN
cana-1459	239	12	jclsr	jclsr	PROPN
cana-1459	239	13	simplified	simplify	VERB
cana-1459	239	14	palmnet	palmnet	NOUN
cana-1459	239	15	-	-	PUNCT
cana-1459	239	16	gabor	gabor	NOUN
cana-1459	239	17	communications	communication	NOUN
cana-1459	239	18	on	on	ADP
cana-1459	239	19	applied	apply	VERB
cana-1459	239	20	nonlinear	nonlinear	ADJ
cana-1459	239	21	analysis	analysis	NOUN
cana-1459	239	22	issn	issn	NOUN
cana-1459	239	23	:	:	PUNCT
cana-1459	239	24	1074	1074	NUM
cana-1459	239	25	-	-	PUNCT
cana-1459	239	26	133x	133x	NUM
cana-1459	239	27	vol	vol	NOUN
cana-1459	239	28	31	31	NUM
cana-1459	239	29	no	no	NOUN
cana-1459	239	30	.	.	PUNCT
cana-1459	240	1	8s	8s	PROPN
cana-1459	240	2	(	(	PUNCT
cana-1459	240	3	2024	2024	NUM
cana-1459	240	4	)	)	PUNCT
cana-1459	240	5	109	109	NUM
cana-1459	240	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1459	240	7	table	table	NOUN
cana-1459	240	8	ii	ii	PROPN
cana-1459	240	9	accurate	accurate	ADJ
cana-1459	240	10	palmprint	palmprint	NOUN
cana-1459	240	11	detection	detection	NOUN
cana-1459	240	12	outcomes	outcome	NOUN
cana-1459	240	13	of	of	ADP
cana-1459	240	14	experiments	experiment	NOUN
cana-1459	240	15	number	number	NOUN
cana-1459	240	16	of	of	ADP
cana-1459	240	17	palmprint	palmprint	NOUN
cana-1459	240	18	images	image	NOUN
cana-1459	240	19	palmprint	palmprint	VERB
cana-1459	240	20	detection	detection	NOUN
cana-1459	240	21	accuracy	accuracy	NOUN
cana-1459	240	22	(	(	PUNCT
cana-1459	240	23	%	%	INTJ
cana-1459	240	24	)	)	PUNCT
cana-1459	240	25	lkridmpn	lkridmpn	PROPN
cana-1459	240	26	jclsr	jclsr	PROPN
cana-1459	240	27	simplified	simplify	VERB
cana-1459	240	28	palmnet	palmnet	NOUN
cana-1459	240	29	-	-	PUNCT
cana-1459	240	30	gabor	gabor	NOUN
cana-1459	240	31	100	100	NUM
cana-1459	240	32	93	93	NUM
cana-1459	240	33	90	90	NUM
cana-1459	240	34	87	87	NUM
cana-1459	240	35	200	200	NUM
cana-1459	240	36	94.5	94.5	NUM
cana-1459	240	37	87.5	87.5	NUM
cana-1459	240	38	84	84	NUM
cana-1459	240	39	300	300	NUM
cana-1459	240	40	92.66	92.66	NUM
cana-1459	240	41	85	85	NUM
cana-1459	240	42	81.66	81.66	NUM
cana-1459	240	43	400	400	NUM
cana-1459	240	44	93.75	93.75	NUM
cana-1459	240	45	88.75	88.75	NUM
cana-1459	240	46	85	85	NUM
cana-1459	240	47	500	500	NUM
cana-1459	240	48	92.8	92.8	NUM
cana-1459	240	49	86	86	NUM
cana-1459	240	50	84	84	NUM
cana-1459	240	51	600	600	NUM
cana-1459	240	52	94.16	94.16	NUM
cana-1459	240	53	90.33	90.33	NUM
cana-1459	240	54	87.33	87.33	NUM
cana-1459	240	55	700	700	NUM
cana-1459	240	56	92.85	92.85	NUM
cana-1459	240	57	87.85	87.85	NUM
cana-1459	240	58	84.28	84.28	NUM
cana-1459	240	59	800	800	NUM
cana-1459	240	60	93.12	93.12	NUM
cana-1459	240	61	89.37	89.37	NUM
cana-1459	240	62	87.75	87.75	NUM
cana-1459	240	63	900	900	NUM
cana-1459	240	64	93.55	93.55	NUM
cana-1459	240	65	89.44	89.44	NUM
cana-1459	240	66	86.66	86.66	NUM
cana-1459	240	67	1000	1000	NUM
cana-1459	240	68	91.1	91.1	NUM
cana-1459	240	69	86.5	86.5	NUM
cana-1459	240	70	84.1	84.1	NUM
cana-1459	240	71	figure	figure	NOUN
cana-1459	240	72	6	6	NUM
cana-1459	240	73	graphical	graphical	ADJ
cana-1459	240	74	illustration	illustration	NOUN
cana-1459	240	75	of	of	ADP
cana-1459	240	76	palmprint	palmprint	NOUN
cana-1459	240	77	detection	detection	NOUN
cana-1459	240	78	accuracy	accuracy	NOUN
cana-1459	240	79	in	in	ADP
cana-1459	240	80	fig	fig	NOUN
cana-1459	240	81	6	6	NUM
cana-1459	240	82	the	the	DET
cana-1459	240	83	graphical	graphical	ADJ
cana-1459	240	84	results	result	NOUN
cana-1459	240	85	of	of	ADP
cana-1459	240	86	palmprint	palmprint	NOUN
cana-1459	240	87	detection	detection	NOUN
cana-1459	240	88	accuracy	accuracy	NOUN
cana-1459	240	89	utilising	utilise	VERB
cana-1459	240	90	three	three	NUM
cana-1459	240	91	distinct	distinct	ADJ
cana-1459	240	92	methods	method	NOUN
cana-1459	240	93	—	—	PUNCT
cana-1459	240	94	lkridmpn	lkridmpn	PROPN
cana-1459	240	95	,	,	PUNCT
cana-1459	240	96	the	the	DET
cana-1459	240	97	current	current	ADJ
cana-1459	240	98	jclsr	jclsr	NOUN
cana-1459	240	99	[	[	X
cana-1459	240	100	1	1	NUM
cana-1459	240	101	]	]	PUNCT
cana-1459	240	102	,	,	PUNCT
cana-1459	240	103	and	and	CCONJ
cana-1459	240	104	the	the	DET
cana-1459	240	105	streamlined	streamlined	ADJ
cana-1459	240	106	palmnet	palmnet	NOUN
cana-1459	240	107	-	-	PUNCT
cana-1459	240	108	gabor	gabor	NOUN
cana-1459	240	109	[	[	X
cana-1459	240	110	2]—are	2]—are	NUM
cana-1459	240	111	shown	show	VERB
cana-1459	240	112	in	in	ADP
cana-1459	240	113	figure	figure	NOUN
cana-1459	240	114	6	6	NUM
cana-1459	240	115	.	.	PUNCT
cana-1459	241	1	in	in	ADP
cana-1459	241	2	comparison	comparison	NOUN
cana-1459	241	3	to	to	ADP
cana-1459	241	4	the	the	DET
cana-1459	241	5	other	other	ADJ
cana-1459	241	6	approaches	approach	NOUN
cana-1459	241	7	now	now	ADV
cana-1459	241	8	in	in	ADP
cana-1459	241	9	use	use	NOUN
cana-1459	241	10	,	,	PUNCT
cana-1459	241	11	the	the	DET
cana-1459	241	12	graphical	graphical	ADJ
cana-1459	241	13	findings	finding	NOUN
cana-1459	241	14	demonstrate	demonstrate	VERB
cana-1459	241	15	an	an	DET
cana-1459	241	16	improvement	improvement	NOUN
cana-1459	241	17	in	in	ADP
cana-1459	241	18	palmprint	palmprint	NOUN
cana-1459	241	19	detection	detection	NOUN
cana-1459	241	20	accuracy	accuracy	NOUN
cana-1459	241	21	with	with	ADP
cana-1459	241	22	the	the	DET
cana-1459	241	23	use	use	NOUN
cana-1459	241	24	of	of	ADP
cana-1459	241	25	the	the	DET
cana-1459	241	26	lkridmpn	lkridmpn	NOUN
cana-1459	241	27	technique	technique	NOUN
cana-1459	241	28	.	.	PUNCT
cana-1459	242	1	the	the	DET
cana-1459	242	2	integration	integration	NOUN
cana-1459	242	3	of	of	ADP
cana-1459	242	4	the	the	DET
cana-1459	242	5	ruzicka	ruzicka	NOUN
cana-1459	242	6	indexive	indexive	ADJ
cana-1459	242	7	deep	deep	ADJ
cana-1459	242	8	multilayer	multilayer	PROPN
cana-1459	242	9	perceptron	perceptron	PROPN
cana-1459	242	10	neural	neural	ADJ
cana-1459	242	11	network	network	NOUN
cana-1459	242	12	for	for	ADP
cana-1459	242	13	palmprint	palmprint	NOUN
cana-1459	242	14	classification	classification	NOUN
cana-1459	242	15	is	be	AUX
cana-1459	242	16	what	what	PRON
cana-1459	242	17	makes	make	VERB
cana-1459	242	18	this	this	DET
cana-1459	242	19	improvement	improvement	NOUN
cana-1459	242	20	possible	possible	ADJ
cana-1459	242	21	.	.	PUNCT
cana-1459	243	1	the	the	DET
cana-1459	243	2	input	input	NOUN
cana-1459	243	3	layer	layer	NOUN
cana-1459	243	4	of	of	ADP
cana-1459	243	5	the	the	DET
cana-1459	243	6	network	network	NOUN
cana-1459	243	7	receives	receive	VERB
cana-1459	243	8	the	the	DET
cana-1459	243	9	extracted	extract	VERB
cana-1459	243	10	palmprint	palmprint	NOUN
cana-1459	243	11	feature	feature	NOUN
cana-1459	243	12	vectors	vector	NOUN
cana-1459	243	13	.	.	PUNCT
cana-1459	244	1	to	to	PART
cana-1459	244	2	improve	improve	VERB
cana-1459	244	3	the	the	DET
cana-1459	244	4	accuracy	accuracy	NOUN
cana-1459	244	5	of	of	ADP
cana-1459	244	6	palmprint	palmprint	NOUN
cana-1459	244	7	detection	detection	NOUN
cana-1459	244	8	,	,	PUNCT
cana-1459	244	9	the	the	DET
cana-1459	244	10	ruzicka	ruzicka	NOUN
cana-1459	244	11	index	index	NOUN
cana-1459	244	12	is	be	AUX
cana-1459	244	13	employed	employ	VERB
cana-1459	244	14	to	to	PART
cana-1459	244	15	measure	measure	VERB
cana-1459	244	16	the	the	DET
cana-1459	244	17	degree	degree	NOUN
cana-1459	244	18	of	of	ADP
cana-1459	244	19	similarity	similarity	NOUN
cana-1459	244	20	between	between	ADP
cana-1459	244	21	the	the	DET
cana-1459	244	22	extracted	extract	VERB
cana-1459	244	23	feature	feature	NOUN
cana-1459	244	24	vectors	vector	NOUN
cana-1459	244	25	and	and	CCONJ
cana-1459	244	26	the	the	DET
cana-1459	244	27	reference	reference	NOUN
cana-1459	244	28	feature	feature	NOUN
cana-1459	244	29	vector	vector	NOUN
cana-1459	244	30	that	that	PRON
cana-1459	244	31	has	have	AUX
cana-1459	244	32	been	be	AUX
cana-1459	244	33	previously	previously	ADV
cana-1459	244	34	stored	store	VERB
cana-1459	244	35	.	.	PUNCT
cana-1459	245	1	the	the	DET
cana-1459	245	2	palmprint	palmprint	NOUN
cana-1459	245	3	detection	detection	NOUN
cana-1459	245	4	accuracy	accuracy	NOUN
cana-1459	245	5	for	for	ADP
cana-1459	245	6	the	the	DET
cana-1459	245	7	first	first	ADJ
cana-1459	245	8	iteration	iteration	NOUN
cana-1459	245	9	of	of	ADP
cana-1459	245	10	the	the	DET
cana-1459	245	11	lkridmpn	lkridmpn	NOUN
cana-1459	245	12	approach	approach	NOUN
cana-1459	245	13	,	,	PUNCT
cana-1459	245	14	which	which	PRON
cana-1459	245	15	used	use	VERB
cana-1459	245	16	100	100	NUM
cana-1459	245	17	photos	photo	NOUN
cana-1459	245	18	,	,	PUNCT
cana-1459	245	19	was	be	AUX
cana-1459	245	20	93	93	NUM
cana-1459	245	21	%	%	NOUN
cana-1459	245	22	.	.	PUNCT
cana-1459	246	1	the	the	DET
cana-1459	246	2	application	application	NOUN
cana-1459	246	3	of	of	ADP
cana-1459	246	4	[	[	X
cana-1459	246	5	1	1	NUM
cana-1459	246	6	]	]	SYM
cana-1459	246	7	75	75	NUM
cana-1459	246	8	80	80	NUM
cana-1459	246	9	85	85	NUM
cana-1459	246	10	90	90	NUM
cana-1459	246	11	95	95	NUM
cana-1459	246	12	100	100	NUM
cana-1459	246	13	100	100	NUM
cana-1459	246	14	200	200	NUM
cana-1459	246	15	300	300	NUM
cana-1459	246	16	400	400	NUM
cana-1459	246	17	500	500	NUM
cana-1459	246	18	600	600	NUM
cana-1459	246	19	700	700	NUM
cana-1459	246	20	800	800	NUM
cana-1459	246	21	900	900	NUM
cana-1459	246	22	1000	1000	NUM
cana-1459	246	23	p	p	NOUN
cana-1459	246	24	a	a	DET
cana-1459	246	25	lm	lm	X
cana-1459	246	26	p	p	X
cana-1459	246	27	ri	ri	PROPN
cana-1459	246	28	n	n	ADP
cana-1459	246	29	t	t	NOUN
cana-1459	247	1	d	d	X
cana-1459	247	2	et	et	NOUN
cana-1459	247	3	ec	ec	PROPN
cana-1459	247	4	ti	ti	NOUN
cana-1459	247	5	o	o	PROPN
cana-1459	247	6	n	n	CCONJ
cana-1459	247	7	a	a	DET
cana-1459	247	8	cc	cc	X
cana-1459	247	9	u	u	INTJ
cana-1459	247	10	ra	ra	PROPN
cana-1459	247	11	cy	cy	PROPN
cana-1459	247	12	(	(	PUNCT
cana-1459	247	13	%	%	NOUN
cana-1459	247	14	)	)	PUNCT
cana-1459	247	15	number	number	NOUN
cana-1459	247	16	of	of	ADP
cana-1459	247	17	palmprint	palmprint	NOUN
cana-1459	247	18	images	image	NOUN
cana-1459	247	19	lkridmpn	lkridmpn	VERB
cana-1459	247	20	jclsr	jclsr	PROPN
cana-1459	247	21	simplified	simplify	VERB
cana-1459	247	22	palmnet	palmnet	NOUN
cana-1459	247	23	-	-	PUNCT
cana-1459	247	24	gabor	gabor	NOUN
cana-1459	247	25	communications	communication	NOUN
cana-1459	247	26	on	on	ADP
cana-1459	247	27	applied	apply	VERB
cana-1459	247	28	nonlinear	nonlinear	ADJ
cana-1459	247	29	analysis	analysis	NOUN
cana-1459	247	30	issn	issn	NOUN
cana-1459	247	31	:	:	PUNCT
cana-1459	247	32	1074	1074	NUM
cana-1459	247	33	-	-	PUNCT
cana-1459	247	34	133x	133x	NUM
cana-1459	247	35	vol	vol	NOUN
cana-1459	247	36	31	31	NUM
cana-1459	247	37	no	no	NOUN
cana-1459	247	38	.	.	PUNCT
cana-1459	248	1	8s	8s	PROPN
cana-1459	248	2	(	(	PUNCT
cana-1459	248	3	2024	2024	NUM
cana-1459	248	4	)	)	PUNCT
cana-1459	248	5	110	110	NUM
cana-1459	248	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	248	7	and	and	CCONJ
cana-1459	248	8	[	[	X
cana-1459	248	9	2	2	NUM
cana-1459	248	10	]	]	PUNCT
cana-1459	248	11	resulted	result	VERB
cana-1459	248	12	in	in	ADP
cana-1459	248	13	90	90	NUM
cana-1459	248	14	%	%	NOUN
cana-1459	248	15	and	and	CCONJ
cana-1459	248	16	87	87	NUM
cana-1459	248	17	%	%	NOUN
cana-1459	248	18	palmprint	palmprint	NOUN
cana-1459	248	19	detection	detection	NOUN
cana-1459	248	20	accuracy	accuracy	NOUN
cana-1459	248	21	,	,	PUNCT
cana-1459	248	22	respectively	respectively	ADV
cana-1459	248	23	.	.	PUNCT
cana-1459	249	1	every	every	DET
cana-1459	249	2	procedure	procedure	NOUN
cana-1459	249	3	underwent	underwent	NOUN
cana-1459	249	4	multiple	multiple	ADJ
cana-1459	249	5	rounds	round	NOUN
cana-1459	249	6	,	,	PUNCT
cana-1459	249	7	with	with	ADP
cana-1459	249	8	the	the	DET
cana-1459	249	9	final	final	ADJ
cana-1459	249	10	results	result	NOUN
cana-1459	249	11	being	be	AUX
cana-1459	249	12	compared	compare	VERB
cana-1459	249	13	with	with	ADP
cana-1459	249	14	the	the	DET
cana-1459	249	15	pre	pre	ADJ
cana-1459	249	16	-	-	ADJ
cana-1459	249	17	existing	existing	ADJ
cana-1459	249	18	findings	finding	NOUN
cana-1459	249	19	.	.	PUNCT
cana-1459	250	1	the	the	DET
cana-1459	250	2	palmprint	palmprint	NOUN
cana-1459	250	3	detection	detection	NOUN
cana-1459	250	4	accuracy	accuracy	NOUN
cana-1459	250	5	increased	increase	VERB
cana-1459	250	6	by	by	ADP
cana-1459	250	7	6	6	NUM
cana-1459	250	8	%	%	NOUN
cana-1459	250	9	and	and	CCONJ
cana-1459	250	10	9	9	NUM
cana-1459	250	11	%	%	NOUN
cana-1459	250	12	,	,	PUNCT
cana-1459	250	13	respectively	respectively	ADV
cana-1459	250	14	,	,	PUNCT
cana-1459	250	15	as	as	SCONJ
cana-1459	250	16	compared	compare	VERB
cana-1459	250	17	to	to	ADP
cana-1459	250	18	[	[	X
cana-1459	250	19	1	1	NUM
cana-1459	250	20	]	]	PUNCT
cana-1459	250	21	and	and	CCONJ
cana-1459	250	22	[	[	X
cana-1459	250	23	2	2	NUM
cana-1459	250	24	]	]	PUNCT
cana-1459	250	25	,	,	PUNCT
cana-1459	250	26	according	accord	VERB
cana-1459	250	27	to	to	ADP
cana-1459	250	28	the	the	DET
cana-1459	250	29	average	average	NOUN
cana-1459	250	30	of	of	ADP
cana-1459	250	31	ten	ten	NUM
cana-1459	250	32	comparison	comparison	NOUN
cana-1459	250	33	findings	finding	NOUN
cana-1459	250	34	for	for	ADP
cana-1459	250	35	the	the	DET
cana-1459	250	36	lkridmpn	lkridmpn	NOUN
cana-1459	250	37	approach	approach	NOUN
cana-1459	250	38	.	.	PUNCT
cana-1459	251	1	4.3	4.3	NUM
cana-1459	251	2	performance	performance	NOUN
cana-1459	251	3	analysis	analysis	NOUN
cana-1459	251	4	of	of	ADP
cana-1459	251	5	error	error	NOUN
cana-1459	251	6	rate	rate	NOUN
cana-1459	251	7	as	as	ADP
cana-1459	251	8	the	the	DET
cana-1459	251	9	percentage	percentage	NOUN
cana-1459	251	10	of	of	ADP
cana-1459	251	11	improperly	improperly	ADV
cana-1459	251	12	identified	identify	VERB
cana-1459	251	13	palmprint	palmprint	NOUN
cana-1459	251	14	photos	photo	NOUN
cana-1459	251	15	relative	relative	ADJ
cana-1459	251	16	to	to	ADP
cana-1459	251	17	all	all	DET
cana-1459	251	18	photographs	photograph	NOUN
cana-1459	251	19	,	,	PUNCT
cana-1459	251	20	the	the	DET
cana-1459	251	21	error	error	NOUN
cana-1459	251	22	rate	rate	NOUN
cana-1459	251	23	is	be	AUX
cana-1459	251	24	calculated	calculate	VERB
cana-1459	251	25	.	.	PUNCT
cana-1459	252	1	we	we	PRON
cana-1459	252	2	use	use	VERB
cana-1459	252	3	the	the	DET
cana-1459	252	4	following	follow	VERB
cana-1459	252	5	formula	formula	NOUN
cana-1459	252	6	to	to	PART
cana-1459	252	7	calculate	calculate	VERB
cana-1459	252	8	the	the	DET
cana-1459	252	9	error	error	NOUN
cana-1459	252	10	rate	rate	NOUN
cana-1459	252	11	:	:	PUNCT
cana-1459	252	12	𝐸𝑅_𝑅𝑇	𝐸𝑅_𝑅𝑇	X
cana-1459	252	13	=	=	PUNCT
cana-1459	252	14	∑	∑	PUNCT
cana-1459	252	15	(	(	PUNCT
cana-1459	252	16	𝐼𝑛𝑐𝑜𝑟𝑟𝑒𝑐𝑡𝑙𝑦	𝐼𝑛𝑐𝑜𝑟𝑟𝑒𝑐𝑡𝑙𝑦	PROPN
cana-1459	252	17	𝑑𝑒𝑡𝑒𝑐𝑡𝑑	𝑑𝑒𝑡𝑒𝑐𝑡𝑑	ADV
cana-1459	252	18	𝑝𝑎𝑙𝑚𝑝𝑟𝑖𝑛𝑡	𝑝𝑎𝑙𝑚𝑝𝑟𝑖𝑛𝑡	ADJ
cana-1459	252	19	𝑖𝑚𝑎𝑔𝑒𝑠	𝑖𝑚𝑎𝑔𝑒𝑠	NOUN
cana-1459	252	20	𝑃𝐼𝑖	𝑃𝐼𝑖	NOUN
cana-1459	252	21	)	)	PUNCT
cana-1459	252	22	𝑛	𝑛	PRON
cana-1459	252	23	𝑖=1	𝑖=1	PROPN
cana-1459	252	24	∗	∗	NOUN
cana-1459	252	25	100	100	NUM
cana-1459	252	26	(	(	PUNCT
cana-1459	252	27	17	17	NUM
cana-1459	252	28	)	)	PUNCT
cana-1459	252	29	where	where	SCONJ
cana-1459	252	30	,	,	PUNCT
cana-1459	252	31	𝐸𝑅_𝑅𝑇	𝐸𝑅_𝑅𝑇	PROPN
cana-1459	252	32	indicates	indicate	VERB
cana-1459	252	33	anerror	anerror	NOUN
cana-1459	252	34	rate	rate	NOUN
cana-1459	252	35	.	.	PUNCT
cana-1459	253	1	the	the	DET
cana-1459	253	2	error	error	NOUN
cana-1459	253	3	rateis	rateis	NOUN
cana-1459	253	4	measured	measure	VERB
cana-1459	253	5	in	in	ADP
cana-1459	253	6	terms	term	NOUN
cana-1459	253	7	of	of	ADP
cana-1459	253	8	percentage	percentage	NOUN
cana-1459	253	9	(	(	PUNCT
cana-1459	253	10	%	%	NOUN
cana-1459	253	11	)	)	PUNCT
cana-1459	253	12	.	.	PUNCT
cana-1459	254	1	table	table	NOUN
cana-1459	254	2	iii	iii	NUM
cana-1459	254	3	experimental	experimental	ADJ
cana-1459	254	4	results	result	NOUN
cana-1459	254	5	of	of	ADP
cana-1459	254	6	error	error	NOUN
cana-1459	254	7	rate	rate	NOUN
cana-1459	254	8	number	number	NOUN
cana-1459	254	9	of	of	ADP
cana-1459	254	10	palmprint	palmprint	NOUN
cana-1459	254	11	images	image	NOUN
cana-1459	254	12	error	error	NOUN
cana-1459	254	13	rate	rate	NOUN
cana-1459	254	14	(	(	PUNCT
cana-1459	254	15	%	%	INTJ
cana-1459	254	16	)	)	PUNCT
cana-1459	254	17	lkridmpn	lkridmpn	PROPN
cana-1459	254	18	jclsr	jclsr	PROPN
cana-1459	254	19	simplified	simplify	VERB
cana-1459	254	20	palmnetgabor	palmnetgabor	NOUN
cana-1459	254	21	100	100	NUM
cana-1459	254	22	7	7	NUM
cana-1459	254	23	10	10	NUM
cana-1459	254	24	13	13	NUM
cana-1459	254	25	200	200	NUM
cana-1459	254	26	5.5	5.5	NUM
cana-1459	254	27	12.5	12.5	NUM
cana-1459	254	28	16	16	NUM
cana-1459	254	29	300	300	NUM
cana-1459	254	30	7.33	7.33	NUM
cana-1459	254	31	15	15	NUM
cana-1459	254	32	18.33	18.33	NUM
cana-1459	254	33	400	400	NUM
cana-1459	254	34	6.25	6.25	NUM
cana-1459	254	35	11.25	11.25	NUM
cana-1459	254	36	15	15	NUM
cana-1459	254	37	500	500	NUM
cana-1459	254	38	7.2	7.2	NUM
cana-1459	254	39	14	14	NUM
cana-1459	254	40	16	16	NUM
cana-1459	254	41	600	600	NUM
cana-1459	254	42	5.83	5.83	NUM
cana-1459	254	43	9.66	9.66	NUM
cana-1459	254	44	12.66	12.66	NUM
cana-1459	254	45	700	700	NUM
cana-1459	254	46	7.14	7.14	NUM
cana-1459	254	47	12.14	12.14	NUM
cana-1459	254	48	15.71	15.71	NUM
cana-1459	254	49	800	800	NUM
cana-1459	254	50	6.87	6.87	NUM
cana-1459	254	51	10.62	10.62	NUM
cana-1459	254	52	12.25	12.25	NUM
cana-1459	254	53	900	900	NUM
cana-1459	254	54	6.44	6.44	NUM
cana-1459	254	55	10.55	10.55	NUM
cana-1459	254	56	13.33	13.33	NUM
cana-1459	254	57	1000	1000	NUM
cana-1459	254	58	8.9	8.9	NUM
cana-1459	254	59	13.5	13.5	NUM
cana-1459	254	60	15.9	15.9	NUM
cana-1459	254	61	figure	figure	NOUN
cana-1459	254	62	7	7	NUM
cana-1459	254	63	graphical	graphical	ADJ
cana-1459	254	64	illustration	illustration	NOUN
cana-1459	254	65	of	of	ADP
cana-1459	254	66	error	error	NOUN
cana-1459	254	67	rate	rate	NOUN
cana-1459	254	68	0	0	NUM
cana-1459	254	69	2	2	NUM
cana-1459	254	70	4	4	NUM
cana-1459	254	71	6	6	NUM
cana-1459	254	72	8	8	NUM
cana-1459	254	73	10	10	NUM
cana-1459	254	74	12	12	NUM
cana-1459	254	75	14	14	NUM
cana-1459	254	76	16	16	NUM
cana-1459	254	77	18	18	NUM
cana-1459	254	78	20	20	NUM
cana-1459	254	79	100	100	NUM
cana-1459	254	80	200	200	NUM
cana-1459	254	81	300	300	NUM
cana-1459	254	82	400	400	NUM
cana-1459	254	83	500	500	NUM
cana-1459	254	84	600	600	NUM
cana-1459	254	85	700	700	NUM
cana-1459	254	86	800	800	NUM
cana-1459	254	87	900	900	NUM
cana-1459	254	88	1000	1000	NUM
cana-1459	254	89	e	e	NOUN
cana-1459	254	90	rr	rr	NOUN
cana-1459	254	91	o	o	NOUN
cana-1459	254	92	r	r	X
cana-1459	254	93	ra	ra	X
cana-1459	254	94	te	te	PROPN
cana-1459	254	95	(	(	PUNCT
cana-1459	254	96	%	%	NOUN
cana-1459	254	97	)	)	PUNCT
cana-1459	254	98	number	number	NOUN
cana-1459	254	99	of	of	ADP
cana-1459	254	100	palmprint	palmprint	NOUN
cana-1459	254	101	images	image	NOUN
cana-1459	254	102	lkridmpn	lkridmpn	VERB
cana-1459	254	103	jclsr	jclsr	PROPN
cana-1459	254	104	simplified	simplify	VERB
cana-1459	254	105	palmnet	palmnet	NOUN
cana-1459	254	106	-	-	PUNCT
cana-1459	254	107	gabor	gabor	NOUN
cana-1459	254	108	communications	communication	NOUN
cana-1459	254	109	on	on	ADP
cana-1459	254	110	applied	apply	VERB
cana-1459	254	111	nonlinear	nonlinear	ADJ
cana-1459	254	112	analysis	analysis	NOUN
cana-1459	254	113	issn	issn	NOUN
cana-1459	254	114	:	:	PUNCT
cana-1459	254	115	1074	1074	NUM
cana-1459	254	116	-	-	PUNCT
cana-1459	254	117	133x	133x	NUM
cana-1459	254	118	vol	vol	NOUN
cana-1459	254	119	31	31	NUM
cana-1459	254	120	no	no	NOUN
cana-1459	254	121	.	.	PUNCT
cana-1459	255	1	8s	8s	PROPN
cana-1459	255	2	(	(	PUNCT
cana-1459	255	3	2024	2024	NUM
cana-1459	255	4	)	)	PUNCT
cana-1459	255	5	111	111	NUM
cana-1459	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	255	7	figure	figure	NOUN
cana-1459	255	8	7	7	NUM
cana-1459	255	9	illustrates	illustrate	VERB
cana-1459	255	10	a	a	DET
cana-1459	255	11	visual	visual	ADJ
cana-1459	255	12	comparison	comparison	NOUN
cana-1459	255	13	of	of	ADP
cana-1459	255	14	the	the	DET
cana-1459	255	15	error	error	NOUN
cana-1459	255	16	rate	rate	NOUN
cana-1459	255	17	performance	performance	NOUN
cana-1459	255	18	achieved	achieve	VERB
cana-1459	255	19	using	use	VERB
cana-1459	255	20	three	three	NUM
cana-1459	255	21	different	different	ADJ
cana-1459	255	22	techniques	technique	NOUN
cana-1459	255	23	.	.	PUNCT
cana-1459	256	1	the	the	DET
cana-1459	256	2	graph	graph	NOUN
cana-1459	256	3	presents	present	VERB
cana-1459	256	4	the	the	DET
cana-1459	256	5	number	number	NOUN
cana-1459	256	6	of	of	ADP
cana-1459	256	7	input	input	NOUN
cana-1459	256	8	images	image	NOUN
cana-1459	256	9	on	on	ADP
cana-1459	256	10	the	the	DET
cana-1459	256	11	'	'	PUNCT
cana-1459	256	12	x	x	NOUN
cana-1459	256	13	'	'	PUNCT
cana-1459	256	14	axis	axis	NOUN
cana-1459	256	15	and	and	CCONJ
cana-1459	256	16	the	the	DET
cana-1459	256	17	corresponding	corresponding	ADJ
cana-1459	256	18	error	error	NOUN
cana-1459	256	19	rate	rate	NOUN
cana-1459	256	20	performance	performance	NOUN
cana-1459	256	21	on	on	ADP
cana-1459	256	22	the	the	DET
cana-1459	256	23	'	'	PUNCT
cana-1459	256	24	y	y	NOUN
cana-1459	256	25	'	'	PUNCT
cana-1459	256	26	axis	axis	NOUN
cana-1459	256	27	.	.	PUNCT
cana-1459	257	1	the	the	DET
cana-1459	257	2	error	error	NOUN
cana-1459	257	3	rate	rate	NOUN
cana-1459	257	4	was	be	AUX
cana-1459	257	5	evaluated	evaluate	VERB
cana-1459	257	6	through	through	ADP
cana-1459	257	7	three	three	NUM
cana-1459	257	8	distinct	distinct	ADJ
cana-1459	257	9	techniques	technique	NOUN
cana-1459	257	10	.	.	PUNCT
cana-1459	258	1	the	the	DET
cana-1459	258	2	graph	graph	NOUN
cana-1459	258	3	shows	show	VERB
cana-1459	258	4	that	that	SCONJ
cana-1459	258	5	using	use	VERB
cana-1459	258	6	a	a	DET
cana-1459	258	7	ruzicka	ruzicka	NOUN
cana-1459	258	8	indexive	indexive	ADJ
cana-1459	258	9	deep	deep	ADJ
cana-1459	258	10	multilayer	multilayer	PROPN
cana-1459	258	11	perceptron	perceptron	PROPN
cana-1459	258	12	neural	neural	ADJ
cana-1459	258	13	network	network	NOUN
cana-1459	258	14	for	for	ADP
cana-1459	258	15	palmprint	palmprint	NOUN
cana-1459	258	16	categorisation	categorisation	NOUN
cana-1459	258	17	was	be	AUX
cana-1459	258	18	the	the	DET
cana-1459	258	19	method	method	NOUN
cana-1459	258	20	that	that	PRON
cana-1459	258	21	reduced	reduce	VERB
cana-1459	258	22	error	error	NOUN
cana-1459	258	23	rate	rate	NOUN
cana-1459	258	24	the	the	DET
cana-1459	258	25	most	most	ADV
cana-1459	258	26	out	out	ADP
cana-1459	258	27	of	of	ADP
cana-1459	258	28	the	the	DET
cana-1459	258	29	three	three	NUM
cana-1459	258	30	approaches	approach	NOUN
cana-1459	258	31	.	.	PUNCT
cana-1459	259	1	by	by	ADP
cana-1459	259	2	using	use	VERB
cana-1459	259	3	a	a	DET
cana-1459	259	4	deep	deep	ADJ
cana-1459	259	5	multilayer	multilayer	ADJ
cana-1459	259	6	perceptron	perceptron	PROPN
cana-1459	259	7	neural	neural	ADJ
cana-1459	259	8	network	network	NOUN
cana-1459	259	9	and	and	CCONJ
cana-1459	259	10	powell	powell	NOUN
cana-1459	259	11	's	's	PART
cana-1459	259	12	technique	technique	NOUN
cana-1459	259	13	,	,	PUNCT
cana-1459	259	14	this	this	PRON
cana-1459	259	15	is	be	AUX
cana-1459	259	16	accomplished	accomplish	VERB
cana-1459	259	17	.	.	PUNCT
cana-1459	260	1	by	by	ADP
cana-1459	260	2	lowering	lower	VERB
cana-1459	260	3	the	the	DET
cana-1459	260	4	squared	square	VERB
cana-1459	260	5	disparities	disparity	NOUN
cana-1459	260	6	between	between	ADP
cana-1459	260	7	the	the	DET
cana-1459	260	8	actual	actual	ADJ
cana-1459	260	9	and	and	CCONJ
cana-1459	260	10	anticipated	anticipate	VERB
cana-1459	260	11	classification	classification	NOUN
cana-1459	260	12	results	result	NOUN
cana-1459	260	13	,	,	PUNCT
cana-1459	260	14	this	this	DET
cana-1459	260	15	application	application	NOUN
cana-1459	260	16	seeks	seek	VERB
cana-1459	260	17	to	to	PART
cana-1459	260	18	minimise	minimise	VERB
cana-1459	260	19	false	false	ADJ
cana-1459	260	20	detections	detection	NOUN
cana-1459	260	21	.	.	PUNCT
cana-1459	261	1	the	the	DET
cana-1459	261	2	analysis	analysis	NOUN
cana-1459	261	3	of	of	ADP
cana-1459	261	4	10	10	NUM
cana-1459	261	5	averaged	average	VERB
cana-1459	261	6	results	result	NOUN
cana-1459	261	7	shows	show	VERB
cana-1459	261	8	that	that	SCONJ
cana-1459	261	9	the	the	DET
cana-1459	261	10	error	error	NOUN
cana-1459	261	11	rate	rate	NOUN
cana-1459	261	12	performance	performance	NOUN
cana-1459	261	13	was	be	AUX
cana-1459	261	14	lower	low	ADJ
cana-1459	261	15	than	than	ADP
cana-1459	261	16	that	that	PRON
cana-1459	261	17	of	of	ADP
cana-1459	261	18	the	the	DET
cana-1459	261	19	approach	approach	NOUN
cana-1459	261	20	presented	present	VERB
cana-1459	261	21	in	in	ADP
cana-1459	261	22	[	[	X
cana-1459	261	23	1	1	NUM
cana-1459	261	24	]	]	PUNCT
cana-1459	261	25	and	and	CCONJ
cana-1459	261	26	higher	high	ADJ
cana-1459	261	27	than	than	ADP
cana-1459	261	28	that	that	PRON
cana-1459	261	29	of	of	ADP
cana-1459	261	30	the	the	DET
cana-1459	261	31	method	method	NOUN
cana-1459	261	32	in	in	ADP
cana-1459	261	33	[	[	X
cana-1459	261	34	2	2	NUM
cana-1459	261	35	]	]	PUNCT
cana-1459	261	36	,	,	PUNCT
cana-1459	261	37	by	by	ADP
cana-1459	261	38	42	42	NUM
cana-1459	261	39	%	%	NOUN
cana-1459	261	40	and	and	CCONJ
cana-1459	261	41	53	53	NUM
cana-1459	261	42	%	%	NOUN
cana-1459	261	43	,	,	PUNCT
cana-1459	261	44	respectively	respectively	ADV
cana-1459	261	45	.	.	PUNCT
cana-1459	262	1	4.4computational	4.4computational	NUM
cana-1459	262	2	time	time	NOUN
cana-1459	262	3	performance	performance	NOUN
cana-1459	262	4	analysis	analysis	NOUN
cana-1459	262	5	computational	computational	ADJ
cana-1459	262	6	timeis	timeis	NOUN
cana-1459	262	7	measured	measure	VERB
cana-1459	262	8	as	as	ADP
cana-1459	262	9	the	the	DET
cana-1459	262	10	amount	amount	NOUN
cana-1459	262	11	of	of	ADP
cana-1459	262	12	time	time	NOUN
cana-1459	262	13	consumed	consume	VERB
cana-1459	262	14	by	by	ADP
cana-1459	262	15	the	the	DET
cana-1459	262	16	algorithm	algorithm	NOUN
cana-1459	262	17	for	for	ADP
cana-1459	262	18	palmprint	palmprint	NOUN
cana-1459	262	19	detection	detection	NOUN
cana-1459	262	20	.	.	PUNCT
cana-1459	263	1	the	the	DET
cana-1459	263	2	overall	overall	ADJ
cana-1459	263	3	time	time	NOUN
cana-1459	263	4	consumption	consumption	NOUN
cana-1459	263	5	of	of	ADP
cana-1459	263	6	the	the	DET
cana-1459	263	7	algorithm	algorithm	NOUN
cana-1459	263	8	is	be	AUX
cana-1459	263	9	estimated	estimate	VERB
cana-1459	263	10	as	as	SCONJ
cana-1459	263	11	follows	follow	VERB
cana-1459	263	12	,	,	PUNCT
cana-1459	263	13	𝐶𝑜𝑚𝑝_𝑇	𝐶𝑜𝑚𝑝_𝑇	NUM
cana-1459	263	14	=	=	SYM
cana-1459	263	15	∑	∑	PART
cana-1459	263	16	𝑃𝐼𝑖	𝑃𝐼𝑖	NOUN
cana-1459	263	17	𝑛	𝑛	PROPN
cana-1459	263	18	𝑖=1	𝑖=1	PROPN
cana-1459	263	19	∗	∗	NOUN
cana-1459	263	20	𝑇	𝑇	PROPN
cana-1459	264	1	[	[	X
cana-1459	264	2	𝐷𝑃𝐼	𝐷𝑃𝐼	PROPN
cana-1459	264	3	]	]	X
cana-1459	264	4	(	(	PUNCT
cana-1459	264	5	18	18	NUM
cana-1459	264	6	)	)	PUNCT
cana-1459	264	7	where	where	SCONJ
cana-1459	264	8	,	,	PUNCT
cana-1459	264	9	𝐶𝑜𝑚𝑝_𝑇	𝐶𝑜𝑚𝑝_𝑇	NUM
cana-1459	264	10	indicates	indicate	VERB
cana-1459	264	11	the	the	DET
cana-1459	264	12	computational	computational	ADJ
cana-1459	264	13	time	time	NOUN
cana-1459	264	14	,	,	PUNCT
cana-1459	264	15	𝑇	𝑇	PROPN
cana-1459	264	16	indicates	indicate	VERB
cana-1459	264	17	a	a	DET
cana-1459	264	18	time	time	NOUN
cana-1459	264	19	,	,	PUNCT
cana-1459	264	20	𝐷𝑃𝐼	𝐷𝑃𝐼	PROPN
cana-1459	264	21	indicates	indicate	VERB
cana-1459	264	22	detecting	detect	VERB
cana-1459	264	23	the	the	DET
cana-1459	264	24	single	single	ADJ
cana-1459	264	25	palmprint	palmprint	NOUN
cana-1459	264	26	image	image	NOUN
cana-1459	264	27	(	(	PUNCT
cana-1459	264	28	𝐷𝑃𝐼	𝐷𝑃𝐼	PROPN
cana-1459	264	29	)	)	PUNCT
cana-1459	264	30	.	.	PUNCT
cana-1459	265	1	milliseconds	millisecond	NOUN
cana-1459	265	2	(	(	PUNCT
cana-1459	265	3	ms	ms	NOUN
cana-1459	265	4	)	)	PUNCT
cana-1459	265	5	are	be	AUX
cana-1459	265	6	used	use	VERB
cana-1459	265	7	to	to	PART
cana-1459	265	8	measure	measure	VERB
cana-1459	265	9	the	the	DET
cana-1459	265	10	palmprint	palmprint	NOUN
cana-1459	265	11	detection	detection	NOUN
cana-1459	265	12	process	process	NOUN
cana-1459	265	13	'	'	PART
cana-1459	265	14	total	total	ADJ
cana-1459	265	15	computational	computational	ADJ
cana-1459	265	16	time	time	NOUN
cana-1459	265	17	.	.	PUNCT
cana-1459	266	1	table	table	NOUN
cana-1459	266	2	iv	iv	NUM
cana-1459	266	3	experimental	experimental	ADJ
cana-1459	266	4	evaluation	evaluation	NOUN
cana-1459	266	5	of	of	ADP
cana-1459	266	6	computational	computational	ADJ
cana-1459	266	7	time	time	NOUN
cana-1459	266	8	number	number	NOUN
cana-1459	266	9	of	of	ADP
cana-1459	266	10	palmprint	palmprint	NOUN
cana-1459	266	11	images	image	NOUN
cana-1459	266	12	computational	computational	ADJ
cana-1459	266	13	time	time	NOUN
cana-1459	266	14	(	(	PUNCT
cana-1459	266	15	ms	ms	NOUN
cana-1459	266	16	)	)	PUNCT
cana-1459	266	17	lkridmpn	lkridmpn	PROPN
cana-1459	266	18	jclsr	jclsr	PROPN
cana-1459	266	19	simplified	simplify	VERB
cana-1459	266	20	palmnetgabor	palmnetgabor	NOUN
cana-1459	266	21	100	100	NUM
cana-1459	266	22	41	41	NUM
cana-1459	266	23	45	45	NUM
cana-1459	266	24	51	51	NUM
cana-1459	266	25	200	200	NUM
cana-1459	266	26	46	46	NUM
cana-1459	266	27	52	52	NUM
cana-1459	266	28	56	56	NUM
cana-1459	266	29	300	300	NUM
cana-1459	266	30	54	54	NUM
cana-1459	266	31	60	60	NUM
cana-1459	266	32	66	66	NUM
cana-1459	266	33	400	400	NUM
cana-1459	266	34	60	60	NUM
cana-1459	266	35	68	68	NUM
cana-1459	266	36	72	72	NUM
cana-1459	266	37	500	500	NUM
cana-1459	266	38	65	65	NUM
cana-1459	266	39	70	70	NUM
cana-1459	266	40	75	75	NUM
cana-1459	266	41	600	600	NUM
cana-1459	266	42	72	72	NUM
cana-1459	266	43	78	78	NUM
cana-1459	266	44	84	84	NUM
cana-1459	266	45	700	700	NUM
cana-1459	266	46	77	77	NUM
cana-1459	266	47	80.5	80.5	NUM
cana-1459	266	48	87.5	87.5	NUM
cana-1459	266	49	800	800	NUM
cana-1459	266	50	80	80	NUM
cana-1459	266	51	84	84	NUM
cana-1459	266	52	92	92	NUM
cana-1459	266	53	900	900	NUM
cana-1459	266	54	84.6	84.6	NUM
cana-1459	266	55	88.2	88.2	NUM
cana-1459	266	56	95.4	95.4	NUM
cana-1459	266	57	1000	1000	NUM
cana-1459	266	58	88	88	NUM
cana-1459	266	59	92	92	NUM
cana-1459	266	60	98	98	NUM
cana-1459	266	61	communications	communication	NOUN
cana-1459	266	62	on	on	ADP
cana-1459	266	63	applied	apply	VERB
cana-1459	266	64	nonlinear	nonlinear	ADJ
cana-1459	266	65	analysis	analysis	NOUN
cana-1459	266	66	issn	issn	NOUN
cana-1459	266	67	:	:	PUNCT
cana-1459	266	68	1074	1074	NUM
cana-1459	266	69	-	-	PUNCT
cana-1459	266	70	133x	133x	NUM
cana-1459	266	71	vol	vol	NOUN
cana-1459	266	72	31	31	NUM
cana-1459	266	73	no	no	NOUN
cana-1459	266	74	.	.	PUNCT
cana-1459	267	1	8s	8s	PROPN
cana-1459	267	2	(	(	PUNCT
cana-1459	267	3	2024	2024	NUM
cana-1459	267	4	)	)	PUNCT
cana-1459	267	5	112	112	NUM
cana-1459	267	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	267	7	figure	figure	NOUN
cana-1459	267	8	8	8	NUM
cana-1459	267	9	graphical	graphical	ADJ
cana-1459	267	10	illustration	illustration	NOUN
cana-1459	267	11	of	of	ADP
cana-1459	267	12	computational	computational	ADJ
cana-1459	267	13	time	time	NOUN
cana-1459	267	14	figure	figure	NOUN
cana-1459	267	15	8	8	NUM
cana-1459	267	16	represent	represent	VERB
cana-1459	267	17	the	the	DET
cana-1459	267	18	performance	performance	NOUN
cana-1459	267	19	ofexecution	ofexecution	NOUN
cana-1459	267	20	time	time	NOUN
cana-1459	267	21	and	and	CCONJ
cana-1459	267	22	the	the	DET
cana-1459	267	23	number	number	NOUN
cana-1459	267	24	of	of	ADP
cana-1459	267	25	palmprint	palmprint	NOUN
cana-1459	267	26	images	image	NOUN
cana-1459	267	27	.	.	PUNCT
cana-1459	268	1	the	the	DET
cana-1459	268	2	quantitative	quantitative	ADJ
cana-1459	268	3	comparative	comparative	ADJ
cana-1459	268	4	analysis	analysis	NOUN
cana-1459	268	5	demonstrates	demonstrate	VERB
cana-1459	268	6	a	a	DET
cana-1459	268	7	significant	significant	ADJ
cana-1459	268	8	reduction	reduction	NOUN
cana-1459	268	9	in	in	ADP
cana-1459	268	10	the	the	DET
cana-1459	268	11	computational	computational	ADJ
cana-1459	268	12	time	time	NOUN
cana-1459	268	13	for	for	ADP
cana-1459	268	14	palmprint	palmprint	NOUN
cana-1459	268	15	detection	detection	NOUN
cana-1459	268	16	compared	compare	VERB
cana-1459	268	17	to	to	ADP
cana-1459	268	18	existing	exist	VERB
cana-1459	268	19	techniques	technique	NOUN
cana-1459	268	20	.	.	PUNCT
cana-1459	269	1	let	let	VERB
cana-1459	269	2	us	we	PRON
cana-1459	269	3	consider	consider	VERB
cana-1459	269	4	the	the	DET
cana-1459	269	5	statistical	statistical	ADJ
cana-1459	269	6	evaluation	evaluation	NOUN
cana-1459	269	7	using	use	VERB
cana-1459	269	8	100	100	NUM
cana-1459	269	9	input	input	NOUN
cana-1459	269	10	images	image	NOUN
cana-1459	269	11	.	.	PUNCT
cana-1459	270	1	specifically	specifically	ADV
cana-1459	270	2	,	,	PUNCT
cana-1459	270	3	the	the	DET
cana-1459	270	4	palmprint	palmprint	NOUN
cana-1459	270	5	detection	detection	NOUN
cana-1459	270	6	time	time	NOUN
cana-1459	270	7	of	of	ADP
cana-1459	270	8	the	the	DET
cana-1459	270	9	lkridmpn	lkridmpn	NOUN
cana-1459	270	10	method	method	NOUN
cana-1459	270	11	was	be	AUX
cana-1459	270	12	found	find	VERB
cana-1459	270	13	to	to	PART
cana-1459	270	14	be	be	AUX
cana-1459	270	15	at	at	ADP
cana-1459	270	16	41𝑚𝑠	41𝑚𝑠	NOUN
cana-1459	270	17	,	,	PUNCT
cana-1459	270	18	whereas	whereas	SCONJ
cana-1459	270	19	the	the	DET
cana-1459	270	20	other	other	ADJ
cana-1459	270	21	two	two	NUM
cana-1459	270	22	methods	method	NOUN
cana-1459	270	23	[	[	X
cana-1459	270	24	1	1	NUM
cana-1459	270	25	]	]	PUNCT
cana-1459	270	26	and	and	CCONJ
cana-1459	270	27	[	[	X
cana-1459	270	28	2	2	NUM
cana-1459	270	29	]	]	PUNCT
cana-1459	270	30	exhibited	exhibit	VERB
cana-1459	270	31	detection	detection	NOUN
cana-1459	270	32	times	time	NOUN
cana-1459	270	33	of	of	ADP
cana-1459	270	34	45𝑚𝑠and	45𝑚𝑠and	NUM
cana-1459	270	35	51𝑚𝑠	51𝑚𝑠	NOUN
cana-1459	270	36	,	,	PUNCT
cana-1459	270	37	respectively.similarly	respectively.similarly	PROPN
cana-1459	270	38	,	,	PUNCT
cana-1459	270	39	various	various	ADJ
cana-1459	270	40	performance	performance	NOUN
cana-1459	270	41	metrics	metric	NOUN
cana-1459	270	42	were	be	AUX
cana-1459	270	43	employed	employ	VERB
cana-1459	270	44	and	and	CCONJ
cana-1459	270	45	compared	compare	VERB
cana-1459	270	46	.	.	PUNCT
cana-1459	271	1	a	a	DET
cana-1459	271	2	comprehensive	comprehensive	ADJ
cana-1459	271	3	comparison	comparison	NOUN
cana-1459	271	4	of	of	ADP
cana-1459	271	5	ten	ten	NUM
cana-1459	271	6	results	result	NOUN
cana-1459	271	7	reveals	reveal	VERB
cana-1459	271	8	that	that	SCONJ
cana-1459	271	9	the	the	DET
cana-1459	271	10	lkridmpn	lkridmpn	NOUN
cana-1459	271	11	technique	technique	NOUN
cana-1459	271	12	reduces	reduce	VERB
cana-1459	271	13	computational	computational	ADJ
cana-1459	271	14	time	time	NOUN
cana-1459	271	15	by	by	ADP
cana-1459	271	16	7	7	NUM
cana-1459	271	17	%	%	NOUN
cana-1459	271	18	and	and	CCONJ
cana-1459	271	19	15	15	NUM
cana-1459	271	20	%	%	NOUN
cana-1459	271	21	in	in	ADP
cana-1459	271	22	comparison	comparison	NOUN
cana-1459	271	23	to	to	ADP
cana-1459	271	24	[	[	X
cana-1459	271	25	1	1	NUM
cana-1459	271	26	]	]	PUNCT
cana-1459	271	27	and	and	CCONJ
cana-1459	271	28	[	[	X
cana-1459	271	29	2	2	NUM
cana-1459	271	30	]	]	PUNCT
cana-1459	271	31	,	,	PUNCT
cana-1459	271	32	respectively	respectively	ADV
cana-1459	271	33	.	.	PUNCT
cana-1459	272	1	the	the	DET
cana-1459	272	2	merging	merging	NOUN
cana-1459	272	3	of	of	ADP
cana-1459	272	4	roi	roi	NOUN
cana-1459	272	5	selection	selection	NOUN
cana-1459	272	6	and	and	CCONJ
cana-1459	272	7	feature	feature	NOUN
cana-1459	272	8	extraction	extraction	NOUN
cana-1459	272	9	techniques	technique	NOUN
cana-1459	272	10	is	be	AUX
cana-1459	272	11	what	what	PRON
cana-1459	272	12	makes	make	VERB
cana-1459	272	13	this	this	DET
cana-1459	272	14	improvement	improvement	NOUN
cana-1459	272	15	possible.the	possible.the	DET
cana-1459	272	16	lkridmpn	lkridmpn	NOUN
cana-1459	272	17	technique	technique	NOUN
cana-1459	272	18	utilizes	utilize	VERB
cana-1459	272	19	the	the	DET
cana-1459	272	20	ochiai	ochiai	ADJ
cana-1459	272	21	-	-	PUNCT
cana-1459	272	22	barkman	barkman	NOUN
cana-1459	272	23	wavelet	wavelet	NOUN
cana-1459	272	24	transformed	transform	VERB
cana-1459	272	25	regression	regression	NOUN
cana-1459	272	26	to	to	PART
cana-1459	272	27	segment	segment	VERB
cana-1459	272	28	the	the	DET
cana-1459	272	29	roi	roi	NOUN
cana-1459	272	30	from	from	ADP
cana-1459	272	31	the	the	DET
cana-1459	272	32	preprocessed	preprocesse	VERB
cana-1459	272	33	input	input	NOUN
cana-1459	272	34	image	image	NOUN
cana-1459	272	35	.	.	PUNCT
cana-1459	273	1	subsequently	subsequently	ADV
cana-1459	273	2	,	,	PUNCT
cana-1459	273	3	the	the	DET
cana-1459	273	4	wavelet	wavelet	NOUN
cana-1459	273	5	packet	packet	NOUN
cana-1459	273	6	transform	transform	NOUN
cana-1459	273	7	is	be	AUX
cana-1459	273	8	applied	apply	VERB
cana-1459	273	9	to	to	PART
cana-1459	273	10	decompose	decompose	VERB
cana-1459	273	11	the	the	DET
cana-1459	273	12	image	image	NOUN
cana-1459	273	13	into	into	ADP
cana-1459	273	14	distinct	distinct	ADJ
cana-1459	273	15	sub	sub	NOUN
cana-1459	273	16	-	-	NOUN
cana-1459	273	17	blocks	block	NOUN
cana-1459	273	18	.	.	PUNCT
cana-1459	274	1	palm	palm	NOUN
cana-1459	274	2	characteristics	characteristic	NOUN
cana-1459	274	3	are	be	AUX
cana-1459	274	4	retrieved	retrieve	VERB
cana-1459	274	5	from	from	ADP
cana-1459	274	6	each	each	DET
cana-1459	274	7	block	block	NOUN
cana-1459	274	8	.	.	PUNCT
cana-1459	275	1	ultimately	ultimately	ADV
cana-1459	275	2	,	,	PUNCT
cana-1459	275	3	a	a	DET
cana-1459	275	4	comprehensive	comprehensive	ADJ
cana-1459	275	5	set	set	NOUN
cana-1459	275	6	of	of	ADP
cana-1459	275	7	palmprint	palmprint	NOUN
cana-1459	275	8	traits	trait	NOUN
cana-1459	275	9	for	for	ADP
cana-1459	275	10	classification	classification	NOUN
cana-1459	275	11	is	be	AUX
cana-1459	275	12	formed	form	VERB
cana-1459	275	13	by	by	ADP
cana-1459	275	14	combining	combine	VERB
cana-1459	275	15	the	the	DET
cana-1459	275	16	data	datum	NOUN
cana-1459	275	17	from	from	ADP
cana-1459	275	18	each	each	DET
cana-1459	275	19	block	block	NOUN
cana-1459	275	20	.	.	PUNCT
cana-1459	276	1	5	5	X
cana-1459	276	2	.	.	X
cana-1459	276	3	conclusion	conclusion	NOUN
cana-1459	276	4	in	in	ADP
cana-1459	276	5	this	this	DET
cana-1459	276	6	work	work	NOUN
cana-1459	276	7	,	,	PUNCT
cana-1459	276	8	an	an	DET
cana-1459	276	9	efficient	efficient	ADJ
cana-1459	276	10	and	and	CCONJ
cana-1459	276	11	effective	effective	ADJ
cana-1459	276	12	lkridmpn	lkridmpn	NOUN
cana-1459	276	13	method	method	NOUN
cana-1459	276	14	for	for	ADP
cana-1459	276	15	quick	quick	ADJ
cana-1459	276	16	palmprint	palmprint	NOUN
cana-1459	276	17	recognition	recognition	NOUN
cana-1459	276	18	is	be	AUX
cana-1459	276	19	created	create	VERB
cana-1459	276	20	in	in	ADP
cana-1459	276	21	this	this	DET
cana-1459	276	22	work	work	NOUN
cana-1459	276	23	.	.	PUNCT
cana-1459	277	1	to	to	PART
cana-1459	277	2	improve	improve	VERB
cana-1459	277	3	the	the	DET
cana-1459	277	4	quality	quality	NOUN
cana-1459	277	5	of	of	ADP
cana-1459	277	6	the	the	DET
cana-1459	277	7	images	image	NOUN
cana-1459	277	8	,	,	PUNCT
cana-1459	277	9	the	the	DET
cana-1459	277	10	pre	pre	ADJ
cana-1459	277	11	-	-	ADJ
cana-1459	277	12	processing	processing	ADJ
cana-1459	277	13	stage	stage	NOUN
cana-1459	277	14	of	of	ADP
cana-1459	277	15	the	the	DET
cana-1459	277	16	suggested	suggest	VERB
cana-1459	277	17	lkridmpn	lkridmpn	NOUN
cana-1459	277	18	method	method	NOUN
cana-1459	277	19	applies	apply	VERB
cana-1459	277	20	denoising	denoise	VERB
cana-1459	277	21	filtering	filtering	NOUN
cana-1459	277	22	techniques	technique	NOUN
cana-1459	277	23	.	.	PUNCT
cana-1459	278	1	after	after	SCONJ
cana-1459	278	2	the	the	DET
cana-1459	278	3	region	region	NOUN
cana-1459	278	4	of	of	ADP
cana-1459	278	5	interest	interest	NOUN
cana-1459	278	6	(	(	PUNCT
cana-1459	278	7	roi	roi	NOUN
cana-1459	278	8	)	)	PUNCT
cana-1459	278	9	has	have	AUX
cana-1459	278	10	been	be	AUX
cana-1459	278	11	identified	identify	VERB
cana-1459	278	12	,	,	PUNCT
cana-1459	278	13	the	the	DET
cana-1459	278	14	images	image	NOUN
cana-1459	278	15	are	be	AUX
cana-1459	278	16	broken	break	VERB
cana-1459	278	17	down	down	ADP
cana-1459	278	18	and	and	CCONJ
cana-1459	278	19	features	feature	NOUN
cana-1459	278	20	are	be	AUX
cana-1459	278	21	retrieved	retrieve	VERB
cana-1459	278	22	using	use	VERB
cana-1459	278	23	wavelet	wavelet	NOUN
cana-1459	278	24	packet	packet	NOUN
cana-1459	278	25	transform	transform	NOUN
cana-1459	278	26	,	,	PUNCT
cana-1459	278	27	which	which	PRON
cana-1459	278	28	reduces	reduce	VERB
cana-1459	278	29	the	the	DET
cana-1459	278	30	amount	amount	NOUN
cana-1459	278	31	of	of	ADP
cana-1459	278	32	time	time	NOUN
cana-1459	278	33	needed	need	VERB
cana-1459	278	34	to	to	PART
cana-1459	278	35	detect	detect	VERB
cana-1459	278	36	palmprints	palmprint	NOUN
cana-1459	278	37	.	.	PUNCT
cana-1459	279	1	using	use	VERB
cana-1459	279	2	the	the	DET
cana-1459	279	3	ruzicka	ruzicka	NOUN
cana-1459	279	4	indexive	indexive	ADJ
cana-1459	279	5	pattern	pattern	NOUN
cana-1459	279	6	matching	matching	NOUN
cana-1459	279	7	method	method	NOUN
cana-1459	279	8	,	,	PUNCT
cana-1459	279	9	the	the	DET
cana-1459	279	10	ruzicka	ruzicka	PROPN
cana-1459	279	11	multilayer	multilayer	PROPN
cana-1459	279	12	perceptron	perceptron	PROPN
cana-1459	279	13	neural	neural	PROPN
cana-1459	279	14	network	network	NOUN
cana-1459	279	15	is	be	AUX
cana-1459	279	16	used	use	VERB
cana-1459	279	17	for	for	ADP
cana-1459	279	18	palmprint	palmprint	NOUN
cana-1459	279	19	detection	detection	NOUN
cana-1459	279	20	.	.	PUNCT
cana-1459	280	1	various	various	ADJ
cana-1459	280	2	palmprint	palmprint	NOUN
cana-1459	280	3	photos	photo	NOUN
cana-1459	280	4	of	of	ADP
cana-1459	280	5	varying	vary	VERB
cana-1459	280	6	sizes	size	NOUN
cana-1459	280	7	are	be	AUX
cana-1459	280	8	used	use	VERB
cana-1459	280	9	to	to	PART
cana-1459	280	10	train	train	VERB
cana-1459	280	11	and	and	CCONJ
cana-1459	280	12	assess	assess	VERB
cana-1459	280	13	the	the	DET
cana-1459	280	14	effectiveness	effectiveness	NOUN
cana-1459	280	15	of	of	ADP
cana-1459	280	16	the	the	DET
cana-1459	280	17	proposed	propose	VERB
cana-1459	280	18	lkridmpn	lkridmpn	NOUN
cana-1459	280	19	methodology	methodology	NOUN
cana-1459	280	20	in	in	ADP
cana-1459	280	21	comparison	comparison	NOUN
cana-1459	280	22	to	to	ADP
cana-1459	280	23	existing	exist	VERB
cana-1459	280	24	techniques	technique	NOUN
cana-1459	280	25	.	.	PUNCT
cana-1459	281	1	thorough	thorough	ADJ
cana-1459	281	2	assessments	assessment	NOUN
cana-1459	281	3	reveal	reveal	VERB
cana-1459	281	4	that	that	SCONJ
cana-1459	281	5	the	the	DET
cana-1459	281	6	lkridmpn	lkridmpn	NOUN
cana-1459	281	7	method	method	NOUN
cana-1459	281	8	outperforms	outperform	VERB
cana-1459	281	9	the	the	DET
cana-1459	281	10	current	current	ADJ
cana-1459	281	11	approaches	approach	NOUN
cana-1459	281	12	in	in	ADP
cana-1459	281	13	0	0	NUM
cana-1459	281	14	20	20	NUM
cana-1459	281	15	40	40	NUM
cana-1459	281	16	60	60	NUM
cana-1459	281	17	80	80	NUM
cana-1459	281	18	100	100	NUM
cana-1459	281	19	120	120	NUM
cana-1459	281	20	100	100	NUM
cana-1459	281	21	200	200	NUM
cana-1459	281	22	300	300	NUM
cana-1459	281	23	400	400	NUM
cana-1459	281	24	500	500	NUM
cana-1459	281	25	600	600	NUM
cana-1459	281	26	700	700	NUM
cana-1459	281	27	800	800	NUM
cana-1459	281	28	900	900	NUM
cana-1459	281	29	1000	1000	NUM
cana-1459	281	30	co	co	NOUN
cana-1459	281	31	m	m	PROPN
cana-1459	281	32	p	p	NOUN
cana-1459	281	33	u	u	X
cana-1459	281	34	ta	ta	ADP
cana-1459	281	35	ti	ti	NOUN
cana-1459	281	36	o	o	NOUN
cana-1459	281	37	n	n	CCONJ
cana-1459	281	38	a	a	DET
cana-1459	281	39	l	l	NOUN
cana-1459	281	40	ti	ti	NOUN
cana-1459	281	41	m	m	NOUN
cana-1459	281	42	e	e	NOUN
cana-1459	281	43	(	(	PUNCT
cana-1459	281	44	m	m	PROPN
cana-1459	281	45	s	s	NOUN
cana-1459	281	46	)	)	PUNCT
cana-1459	281	47	number	number	NOUN
cana-1459	281	48	of	of	ADP
cana-1459	281	49	palmprint	palmprint	NOUN
cana-1459	281	50	images	image	NOUN
cana-1459	281	51	lkridmpn	lkridmpn	VERB
cana-1459	281	52	jclsr	jclsr	PROPN
cana-1459	281	53	simplified	simplify	VERB
cana-1459	281	54	palmnet	palmnet	NOUN
cana-1459	281	55	-	-	PUNCT
cana-1459	281	56	gabor	gabor	NOUN
cana-1459	281	57	communications	communication	NOUN
cana-1459	281	58	on	on	ADP
cana-1459	281	59	applied	apply	VERB
cana-1459	281	60	nonlinear	nonlinear	ADJ
cana-1459	281	61	analysis	analysis	NOUN
cana-1459	281	62	issn	issn	NOUN
cana-1459	281	63	:	:	PUNCT
cana-1459	281	64	1074	1074	NUM
cana-1459	281	65	-	-	PUNCT
cana-1459	281	66	133x	133x	NUM
cana-1459	281	67	vol	vol	NOUN
cana-1459	281	68	31	31	NUM
cana-1459	281	69	no	no	NOUN
cana-1459	281	70	.	.	PUNCT
cana-1459	282	1	8s	8s	PROPN
cana-1459	282	2	(	(	PUNCT
cana-1459	282	3	2024	2024	NUM
cana-1459	282	4	)	)	PUNCT
cana-1459	282	5	113	113	NUM
cana-1459	282	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1459	282	7	terms	term	NOUN
cana-1459	282	8	of	of	ADP
cana-1459	282	9	accurate	accurate	ADJ
cana-1459	282	10	palmprint	palmprint	NOUN
cana-1459	282	11	detection	detection	NOUN
cana-1459	282	12	,	,	PUNCT
cana-1459	282	13	high	high	ADJ
cana-1459	282	14	peak	peak	NOUN
cana-1459	282	15	signal	signal	NOUN
cana-1459	282	16	-	-	PUNCT
cana-1459	282	17	to	to	ADP
cana-1459	282	18	-	-	PUNCT
cana-1459	282	19	noise	noise	NOUN
cana-1459	282	20	ratio	ratio	NOUN
cana-1459	282	21	,	,	PUNCT
cana-1459	282	22	shortened	shorten	VERB
cana-1459	282	23	processing	processing	NOUN
cana-1459	282	24	times	time	NOUN
cana-1459	282	25	,	,	PUNCT
cana-1459	282	26	and	and	CCONJ
cana-1459	282	27	lower	low	ADJ
cana-1459	282	28	error	error	NOUN
cana-1459	282	29	rates	rate	NOUN
cana-1459	282	30	.	.	PUNCT
cana-1459	283	1	references	reference	NOUN
cana-1459	283	2	[	[	X
cana-1459	283	3	1	1	NUM
cana-1459	283	4	]	]	PUNCT
cana-1459	283	5	shuping	shupe	VERB
cana-1459	283	6	zhao	zhao	PROPN
cana-1459	283	7	and	and	CCONJ
cana-1459	283	8	bob	bob	PROPN
cana-1459	283	9	zhang	zhang	PROPN
cana-1459	283	10	,	,	PUNCT
cana-1459	283	11	“	"	PUNCT
cana-1459	283	12	joint	joint	ADJ
cana-1459	283	13	constrained	constrain	VERB
cana-1459	283	14	least	least	ADJ
cana-1459	283	15	-	-	PUNCT
cana-1459	283	16	square	square	NOUN
cana-1459	283	17	regression	regression	NOUN
cana-1459	283	18	with	with	ADP
cana-1459	283	19	deep	deep	ADJ
cana-1459	283	20	convolutional	convolutional	ADJ
cana-1459	283	21	feature	feature	NOUN
cana-1459	283	22	for	for	ADP
cana-1459	283	23	palmprint	palmprint	NOUN
cana-1459	283	24	recognition	recognition	NOUN
cana-1459	283	25	”	"	PUNCT
cana-1459	283	26	,	,	PUNCT
cana-1459	283	27	ieee	ieee	NOUN
cana-1459	283	28	transactions	transaction	NOUN
cana-1459	283	29	on	on	ADP
cana-1459	283	30	systems	system	NOUN
cana-1459	283	31	,	,	PUNCT
cana-1459	283	32	man	man	NOUN
cana-1459	283	33	,	,	PUNCT
cana-1459	283	34	and	and	CCONJ
cana-1459	283	35	cybernetics	cybernetic	NOUN
cana-1459	283	36	:	:	PUNCT
cana-1459	283	37	systems	system	NOUN
cana-1459	283	38	,	,	PUNCT
cana-1459	283	39	volume	volume	NOUN
cana-1459	283	40	52	52	NUM
cana-1459	283	41	,	,	PUNCT
cana-1459	283	42	issue	issue	NOUN
cana-1459	283	43	1	1	NUM
cana-1459	283	44	,	,	PUNCT
cana-1459	283	45	2022	2022	NUM
cana-1459	283	46	,	,	PUNCT
cana-1459	283	47	pages	page	NOUN
cana-1459	283	48	511	511	NUM
cana-1459	283	49	–	–	PUNCT
cana-1459	283	50	522	522	NUM
cana-1459	283	51	.	.	PUNCT
cana-1459	284	1	doi	doi	NOUN
cana-1459	284	2	:	:	PUNCT
cana-1459	284	3	10.1109	10.1109	NUM
cana-1459	284	4	/	/	SYM
cana-1459	284	5	tsmc.2020.3003021	tsmc.2020.3003021	PROPN
cana-1459	284	6	[	[	NOUN
cana-1459	284	7	2	2	NUM
cana-1459	284	8	]	]	X
cana-1459	284	9	selma	selma	PROPN
cana-1459	284	10	trabelsi	trabelsi	PROPN
cana-1459	284	11	,	,	PUNCT
cana-1459	284	12	djamel	djamel	ADJ
cana-1459	284	13	samai	samai	PROPN
cana-1459	284	14	,	,	PUNCT
cana-1459	284	15	fadi	fadi	PROPN
cana-1459	284	16	dornaika	dornaika	PROPN
cana-1459	284	17	,	,	PUNCT
cana-1459	284	18	azeddine	azeddine	PROPN
cana-1459	284	19	benlamoudi	benlamoudi	NOUN
cana-1459	284	20	,	,	PUNCT
cana-1459	284	21	khaled	khaled	PROPN
cana-1459	284	22	bensid	bensid	PROPN
cana-1459	284	23	,	,	PUNCT
cana-1459	284	24	abdelmalik	abdelmalik	PROPN
cana-1459	284	25	talebahmed	talebahme	VERB
cana-1459	284	26	,	,	PUNCT
cana-1459	284	27	“	"	PUNCT
cana-1459	284	28	efficient	efficient	ADJ
cana-1459	284	29	palmprint	palmprint	NOUN
cana-1459	284	30	biometric	biometric	ADJ
cana-1459	284	31	identification	identification	NOUN
cana-1459	284	32	systems	system	NOUN
cana-1459	284	33	using	use	VERB
cana-1459	284	34	deep	deep	ADJ
cana-1459	284	35	learning	learning	NOUN
cana-1459	284	36	and	and	CCONJ
cana-1459	284	37	feature	feature	NOUN
cana-1459	284	38	selection	selection	NOUN
cana-1459	284	39	methods	method	NOUN
cana-1459	284	40	”	"	PUNCT
cana-1459	284	41	,	,	PUNCT
cana-1459	284	42	neural	neural	ADJ
cana-1459	284	43	computing	computing	NOUN
cana-1459	284	44	and	and	CCONJ
cana-1459	284	45	applications	application	NOUN
cana-1459	284	46	,	,	PUNCT
cana-1459	284	47	springer	springer	NOUN
cana-1459	284	48	,	,	PUNCT
cana-1459	284	49	volume	volume	NOUN
cana-1459	284	50	34	34	NUM
cana-1459	284	51	,	,	PUNCT
cana-1459	284	52	2022	2022	NUM
cana-1459	284	53	,	,	PUNCT
cana-1459	284	54	pages12119	pages12119	PROPN
cana-1459	284	55	-	-	PUNCT
cana-1459	284	56	12141	12141	NUM
cana-1459	284	57	.	.	PUNCT
cana-1459	284	58	https://doi.org/10.1007/s00521-022-07098-4	https://doi.org/10.1007/s00521-022-07098-4	NUM
cana-1459	285	1	[	[	X
cana-1459	285	2	3	3	X
cana-1459	285	3	]	]	PUNCT
cana-1459	285	4	xiumei	xiumei	PROPN
cana-1459	285	5	guo	guo	PROPN
cana-1459	285	6	,	,	PUNCT
cana-1459	285	7	ping	ping	PROPN
cana-1459	285	8	zhang	zhang	PROPN
cana-1459	285	9	,	,	PUNCT
cana-1459	285	10	chengyi	chengyi	PROPN
cana-1459	285	11	wang	wang	PROPN
cana-1459	285	12	,	,	PUNCT
cana-1459	285	13	bo	bo	PROPN
cana-1459	285	14	sun	sun	PROPN
cana-1459	285	15	,	,	PUNCT
cana-1459	285	16	saisai	saisai	PROPN
cana-1459	285	17	sun	sun	PROPN
cana-1459	285	18	,	,	PUNCT
cana-1459	285	19	“	"	PUNCT
cana-1459	285	20	a	a	DET
cana-1459	285	21	novel	novel	ADJ
cana-1459	285	22	deep	deep	ADJ
cana-1459	285	23	learning	learning	NOUN
cana-1459	285	24	model	model	NOUN
cana-1459	285	25	for	for	ADP
cana-1459	285	26	palmprint	palmprint	NOUN
cana-1459	285	27	/	/	SYM
cana-1459	285	28	palmvein	palmvein	NOUN
cana-1459	285	29	recognition	recognition	NOUN
cana-1459	285	30	”	"	PUNCT
cana-1459	285	31	,	,	PUNCT
cana-1459	285	32	ieee	ieee	NOUN
cana-1459	285	33	access	access	NOUN
cana-1459	285	34	,	,	PUNCT
cana-1459	285	35	volume	volume	NOUN
cana-1459	285	36	9	9	NUM
cana-1459	285	37	,	,	PUNCT
cana-1459	285	38	2021	2021	NUM
cana-1459	285	39	,	,	PUNCT
cana-1459	285	40	pages	page	NOUN
cana-1459	285	41	122847	122847	NUM
cana-1459	285	42	–	–	PUNCT
cana-1459	285	43	122854	122854	NUM
cana-1459	285	44	.	.	PUNCT
cana-1459	286	1	doi	doi	NOUN
cana-1459	286	2	:	:	PUNCT
cana-1459	286	3	10.1109	10.1109	NUM
cana-1459	286	4	/	/	SYM
cana-1459	286	5	access.2021.3110206	access.2021.3110206	PRON
cana-1459	286	6	[	[	X
cana-1459	286	7	4	4	NUM
cana-1459	286	8	]	]	X
cana-1459	286	9	dane	dane	NOUN
cana-1459	286	10	brown	brown	NOUN
cana-1459	286	11	and	and	CCONJ
cana-1459	286	12	karen	karen	PROPN
cana-1459	286	13	bradshaw	bradshaw	PROPN
cana-1459	286	14	,	,	PUNCT
cana-1459	286	15	“	"	PUNCT
cana-1459	286	16	deep	deep	ADJ
cana-1459	286	17	palmprint	palmprint	NOUN
cana-1459	286	18	recognition	recognition	NOUN
cana-1459	286	19	with	with	ADP
cana-1459	286	20	alignment	alignment	NOUN
cana-1459	286	21	and	and	CCONJ
cana-1459	286	22	augmentation	augmentation	NOUN
cana-1459	286	23	of	of	ADP
cana-1459	286	24	limited	limited	ADJ
cana-1459	286	25	training	training	NOUN
cana-1459	286	26	samples	sample	NOUN
cana-1459	286	27	”	"	PUNCT
cana-1459	286	28	,	,	PUNCT
cana-1459	286	29	sn	sn	PROPN
cana-1459	286	30	computer	computer	NOUN
cana-1459	286	31	science	science	NOUN
cana-1459	286	32	,	,	PUNCT
cana-1459	286	33	springer	springer	NOUN
cana-1459	286	34	,	,	PUNCT
cana-1459	286	35	2021	2021	NUM
cana-1459	286	36	,	,	PUNCT
cana-1459	286	37	pages	page	NOUN
cana-1459	286	38	1	1	NUM
cana-1459	286	39	-	-	SYM
cana-1459	286	40	17	17	NUM
cana-1459	286	41	.	.	PUNCT
cana-1459	287	1	https://doi.org/10.1007/s42979-02100859-3	https://doi.org/10.1007/s42979-02100859-3	NOUN
cana-1459	287	2	[	[	X
cana-1459	287	3	5	5	X
cana-1459	287	4	]	]	PUNCT
cana-1459	287	5	ketut	ketut	PROPN
cana-1459	287	6	gede	gede	PROPN
cana-1459	287	7	darma	darma	PROPN
cana-1459	287	8	putra	putra	PROPN
cana-1459	287	9	,	,	PUNCT
cana-1459	287	10	deden	deden	PROPN
cana-1459	287	11	witarsyah	witarsyah	PROPN
cana-1459	287	12	,	,	PUNCT
cana-1459	287	13	muhardi	muhardi	PROPN
cana-1459	287	14	saputra	saputra	PROPN
cana-1459	287	15	,	,	PUNCT
cana-1459	287	16	putu	putu	PROPN
cana-1459	287	17	jhonarendra	jhonarendra	PROPN
cana-1459	287	18	,	,	PUNCT
cana-1459	287	19	“	"	PUNCT
cana-1459	287	20	palmprint	palmprint	NOUN
cana-1459	287	21	recognition	recognition	NOUN
cana-1459	287	22	based	base	VERB
cana-1459	287	23	on	on	ADP
cana-1459	287	24	edge	edge	NOUN
cana-1459	287	25	detection	detection	NOUN
cana-1459	287	26	features	feature	NOUN
cana-1459	287	27	and	and	CCONJ
cana-1459	287	28	convolutional	convolutional	ADJ
cana-1459	287	29	neural	neural	ADJ
cana-1459	287	30	network	network	NOUN
cana-1459	287	31	”	"	PUNCT
cana-1459	287	32	,	,	PUNCT
cana-1459	287	33	international	international	ADJ
cana-1459	287	34	journal	journal	NOUN
cana-1459	287	35	on	on	ADP
cana-1459	287	36	advanced	advanced	ADJ
cana-1459	287	37	science	science	NOUN
cana-1459	287	38	,	,	PUNCT
cana-1459	287	39	engineering	engineering	NOUN
cana-1459	287	40	and	and	CCONJ
cana-1459	287	41	information	information	NOUN
cana-1459	287	42	technology	technology	NOUN
cana-1459	287	43	,	,	PUNCT
cana-1459	287	44	volume	volume	NOUN
cana-1459	287	45	11	11	NUM
cana-1459	287	46	,	,	PUNCT
cana-1459	287	47	issue	issue	NOUN
cana-1459	287	48	1	1	NUM
cana-1459	287	49	,	,	PUNCT
cana-1459	287	50	2021	2021	NUM
cana-1459	287	51	,	,	PUNCT
cana-1459	287	52	pages	page	NOUN
cana-1459	287	53	380387	380387	NUM
cana-1459	287	54	.	.	PUNCT
cana-1459	288	1	http://dx.doi.org/10.18517/ijaseit.11.1.11664	http://dx.doi.org/10.18517/ijaseit.11.1.11664	NUM
cana-1459	288	2	[	[	X
cana-1459	288	3	6	6	NUM
cana-1459	288	4	]	]	PUNCT
cana-1459	288	5	mohamed	mohamed	PROPN
cana-1459	288	6	maher	maher	PROPN
cana-1459	288	7	ata	ata	PROPN
cana-1459	288	8	,	,	PUNCT
cana-1459	288	9	khaled	khaled	PROPN
cana-1459	288	10	mohammed	mohammed	PROPN
cana-1459	288	11	elgamily	elgamily	ADV
cana-1459	288	12	,	,	PUNCT
cana-1459	288	13	mohamed	mohamed	PROPN
cana-1459	288	14	a.	a.	PROPN
cana-1459	288	15	mohamed	mohamed	PROPN
cana-1459	288	16	,	,	PUNCT
cana-1459	288	17	“	"	PUNCT
cana-1459	288	18	robust	robust	ADJ
cana-1459	288	19	features	feature	NOUN
cana-1459	288	20	fusion	fusion	NOUN
cana-1459	288	21	utilization	utilization	NOUN
cana-1459	288	22	for	for	ADP
cana-1459	288	23	supervised	supervised	ADJ
cana-1459	288	24	palmprint	palmprint	NOUN
cana-1459	288	25	recognition	recognition	PROPN
cana-1459	288	26	”	"	PUNCT
cana-1459	288	27	,	,	PUNCT
cana-1459	288	28	concurrency	concurrency	NOUN
cana-1459	288	29	and	and	CCONJ
cana-1459	288	30	computation	computation	NOUN
cana-1459	288	31	practice	practice	NOUN
cana-1459	288	32	and	and	CCONJ
cana-1459	288	33	experience	experience	NOUN
cana-1459	288	34	,	,	PUNCT
cana-1459	288	35	wiley	wiley	NOUN
cana-1459	288	36	,	,	PUNCT
cana-1459	288	37	volume34	volume34	NOUN
cana-1459	288	38	,	,	PUNCT
cana-1459	288	39	issue10	issue10	NOUN
cana-1459	288	40	,	,	PUNCT
cana-1459	288	41	2022	2022	NUM
cana-1459	288	42	,	,	PUNCT
cana-1459	288	43	pages	page	NOUN
cana-1459	288	44	1-25.https://doi.org/10.1002/cpe.6817	1-25.https://doi.org/10.1002/cpe.6817	NUM
cana-1459	289	1	[	[	X
cana-1459	289	2	7	7	X
cana-1459	289	3	]	]	X
cana-1459	289	4	yang	yang	PROPN
cana-1459	289	5	liu	liu	PROPN
cana-1459	289	6	and	and	CCONJ
cana-1459	289	7	ajay	ajay	PROPN
cana-1459	289	8	kumar	kumar	PROPN
cana-1459	289	9	,	,	PUNCT
cana-1459	289	10	“	"	PUNCT
cana-1459	289	11	contactless	contactless	NOUN
cana-1459	289	12	palmprint	palmprint	NOUN
cana-1459	289	13	identification	identification	NOUN
cana-1459	289	14	using	use	VERB
cana-1459	289	15	deeply	deeply	ADV
cana-1459	289	16	learned	learn	VERB
cana-1459	289	17	residual	residual	ADJ
cana-1459	289	18	features	feature	NOUN
cana-1459	289	19	”	"	PUNCT
cana-1459	289	20	,	,	PUNCT
cana-1459	289	21	ieee	ieee	NOUN
cana-1459	289	22	transactions	transaction	NOUN
cana-1459	289	23	on	on	ADP
cana-1459	289	24	biometrics	biometric	NOUN
cana-1459	289	25	,	,	PUNCT
cana-1459	289	26	behavior	behavior	NOUN
cana-1459	289	27	,	,	PUNCT
cana-1459	289	28	and	and	CCONJ
cana-1459	289	29	identity	identity	NOUN
cana-1459	289	30	science	science	NOUN
cana-1459	289	31	,	,	PUNCT
cana-1459	289	32	volume	volume	NOUN
cana-1459	289	33	2	2	NUM
cana-1459	289	34	,	,	PUNCT
cana-1459	289	35	issue	issue	NOUN
cana-1459	289	36	2	2	NUM
cana-1459	289	37	,	,	PUNCT
cana-1459	289	38	2020	2020	NUM
cana-1459	289	39	,	,	PUNCT
cana-1459	289	40	pages	page	NOUN
cana-1459	289	41	172	172	NUM
cana-1459	289	42	–	–	SYM
cana-1459	289	43	181	181	NUM
cana-1459	289	44	.	.	PUNCT
cana-1459	289	45	doi	doi	NOUN
cana-1459	289	46	:	:	PUNCT
cana-1459	289	47	10.1109	10.1109	NUM
cana-1459	289	48	/	/	SYM
cana-1459	289	49	tbiom.2020.2967073	tbiom.2020.2967073	NOUN
cana-1459	289	50	[	[	X
cana-1459	289	51	8	8	NUM
cana-1459	289	52	]	]	PUNCT
cana-1459	289	53	xuefeng	xuefeng	PROPN
cana-1459	289	54	du	du	PROPN
cana-1459	289	55	;	;	PUNCT
cana-1459	289	56	dexing	dexe	VERB
cana-1459	289	57	zhong	zhong	PROPN
cana-1459	289	58	;	;	PUNCT
cana-1459	289	59	huikai	huikai	PROPN
cana-1459	289	60	shao	shao	PROPN
cana-1459	289	61	,	,	PUNCT
cana-1459	289	62	“	"	PUNCT
cana-1459	289	63	cross	cross	ADJ
cana-1459	289	64	-	-	ADJ
cana-1459	289	65	domain	domain	ADJ
cana-1459	289	66	palmprint	palmprint	NOUN
cana-1459	289	67	recognition	recognition	NOUN
cana-1459	289	68	via	via	ADP
cana-1459	289	69	regularized	regularize	VERB
cana-1459	289	70	adversarial	adversarial	ADJ
cana-1459	289	71	domain	domain	NOUN
cana-1459	289	72	adaptive	adaptive	ADJ
cana-1459	289	73	hashing	hashing	NOUN
cana-1459	289	74	”	"	PUNCT
cana-1459	289	75	,	,	PUNCT
cana-1459	289	76	ieee	ieee	NOUN
cana-1459	289	77	transactions	transaction	NOUN
cana-1459	289	78	on	on	ADP
cana-1459	289	79	circuits	circuit	NOUN
cana-1459	289	80	and	and	CCONJ
cana-1459	289	81	systems	system	NOUN
cana-1459	289	82	for	for	ADP
cana-1459	289	83	video	video	NOUN
cana-1459	289	84	technology	technology	NOUN
cana-1459	289	85	,	,	PUNCT
cana-1459	289	86	volume	volume	NOUN
cana-1459	289	87	31	31	NUM
cana-1459	289	88	,	,	PUNCT
cana-1459	289	89	issue	issue	NOUN
cana-1459	289	90	6	6	NUM
cana-1459	289	91	,	,	PUNCT
cana-1459	289	92	2021	2021	NUM
cana-1459	289	93	,	,	PUNCT
cana-1459	289	94	pages	page	NOUN
cana-1459	289	95	2372	2372	NUM
cana-1459	289	96	–	–	PUNCT
cana-1459	289	97	2385	2385	NUM
cana-1459	289	98	.	.	PUNCT
cana-1459	290	1	doi	doi	NOUN
cana-1459	290	2	:	:	PUNCT
cana-1459	290	3	10.1109	10.1109	NUM
cana-1459	290	4	/	/	SYM
cana-1459	290	5	tcsvt.2020.3024593	tcsvt.2020.3024593	NOUN
cana-1459	290	6	[	[	X
cana-1459	290	7	9	9	NUM
cana-1459	290	8	]	]	PUNCT
cana-1459	290	9	shuping	shupe	VERB
cana-1459	290	10	zhao	zhao	PROPN
cana-1459	290	11	and	and	CCONJ
cana-1459	290	12	bob	bob	PROPN
cana-1459	290	13	zhang	zhang	PROPN
cana-1459	290	14	,	,	PUNCT
cana-1459	290	15	“	"	PUNCT
cana-1459	290	16	learning	learn	VERB
cana-1459	290	17	complete	complete	ADJ
cana-1459	290	18	and	and	CCONJ
cana-1459	290	19	discriminative	discriminative	NOUN
cana-1459	290	20	direction	direction	NOUN
cana-1459	290	21	pattern	pattern	NOUN
cana-1459	290	22	for	for	ADP
cana-1459	290	23	robust	robust	ADJ
cana-1459	290	24	palmprint	palmprint	NOUN
cana-1459	290	25	recognition	recognition	NOUN
cana-1459	290	26	”	"	PUNCT
cana-1459	290	27	,	,	PUNCT
cana-1459	290	28	ieee	ieee	NOUN
cana-1459	290	29	transactions	transaction	NOUN
cana-1459	290	30	on	on	ADP
cana-1459	290	31	image	image	NOUN
cana-1459	290	32	processing	processing	NOUN
cana-1459	290	33	,	,	PUNCT
cana-1459	290	34	volume	volume	NOUN
cana-1459	290	35	30	30	NUM
cana-1459	290	36	,	,	PUNCT
cana-1459	290	37	pages	page	NOUN
cana-1459	290	38	1001	1001	NUM
cana-1459	290	39	–	–	PUNCT
cana-1459	290	40	1014	1014	NUM
cana-1459	290	41	.	.	PUNCT
cana-1459	291	1	doi	doi	NOUN
cana-1459	291	2	:	:	PUNCT
cana-1459	291	3	10.1109	10.1109	NUM
cana-1459	291	4	/	/	SYM
cana-1459	291	5	tip.2020.3039895	tip.2020.3039895	PUNCT
cana-1459	291	6	[	[	X
cana-1459	291	7	10	10	NUM
cana-1459	291	8	]	]	PUNCT
cana-1459	291	9	luis	luis	PROPN
cana-1459	291	10	rafael	rafael	PROPN
cana-1459	291	11	marval	marval	PROPN
cana-1459	291	12	-	-	PUNCT
cana-1459	291	13	pérez	pérez	NOUN
cana-1459	291	14	;	;	PUNCT
cana-1459	291	15	koichi	koichi	PROPN
cana-1459	291	16	ito	ito	PROPN
cana-1459	291	17	;	;	PUNCT
cana-1459	291	18	takafumi	takafumi	PROPN
cana-1459	291	19	aoki	aoki	PROPN
cana-1459	291	20	,	,	PUNCT
cana-1459	291	21	“	"	PUNCT
cana-1459	291	22	phase	phase	NOUN
cana-1459	291	23	-	-	PUNCT
cana-1459	291	24	based	base	VERB
cana-1459	291	25	palmprint	palmprint	NOUN
cana-1459	291	26	identification	identification	NOUN
cana-1459	291	27	with	with	ADP
cana-1459	291	28	convolutional	convolutional	ADJ
cana-1459	291	29	sparse	sparse	ADJ
cana-1459	291	30	coding	coding	NOUN
cana-1459	291	31	”	"	PUNCT
cana-1459	291	32	,	,	PUNCT
cana-1459	291	33	ieee	ieee	NOUN
cana-1459	291	34	transactions	transaction	NOUN
cana-1459	291	35	on	on	ADP
cana-1459	291	36	biometrics	biometric	NOUN
cana-1459	291	37	,	,	PUNCT
cana-1459	291	38	behavior	behavior	NOUN
cana-1459	291	39	,	,	PUNCT
cana-1459	291	40	and	and	CCONJ
cana-1459	291	41	identity	identity	NOUN
cana-1459	291	42	science	science	NOUN
cana-1459	291	43	,	,	PUNCT
cana-1459	291	44	volume	volume	NOUN
cana-1459	291	45	4	4	NUM
cana-1459	291	46	,	,	PUNCT
cana-1459	291	47	issue	issue	NOUN
cana-1459	291	48	3	3	NUM
cana-1459	291	49	,	,	PUNCT
cana-1459	291	50	2022	2022	NUM
cana-1459	291	51	,	,	PUNCT
cana-1459	291	52	pages	page	NOUN
cana-1459	291	53	424	424	NUM
cana-1459	291	54	–	–	SYM
cana-1459	291	55	438	438	NUM
cana-1459	291	56	.	.	PUNCT
cana-1459	292	1	doi	doi	NOUN
cana-1459	292	2	:	:	PUNCT
cana-1459	292	3	10.1109	10.1109	NUM
cana-1459	292	4	/	/	SYM
cana-1459	292	5	tbiom.2022.3183568	tbiom.2022.3183568	NOUN
cana-1459	292	6	[	[	NOUN
cana-1459	292	7	11	11	NUM
cana-1459	292	8	]	]	X
cana-1459	292	9	anca	anca	NOUN
cana-1459	292	10	ignata	ignata	PROPN
cana-1459	292	11	and	and	CCONJ
cana-1459	292	12	,	,	PUNCT
cana-1459	292	13	ioan	ioan	PROPN
cana-1459	292	14	păvăloi	păvăloi	PROPN
cana-1459	292	15	,	,	PUNCT
cana-1459	292	16	“	"	PUNCT
cana-1459	292	17	keypoint	keypoint	NOUN
cana-1459	292	18	selection	selection	NOUN
cana-1459	292	19	algorithm	algorithm	NOUN
cana-1459	292	20	for	for	ADP
cana-1459	292	21	palmprint	palmprint	NOUN
cana-1459	292	22	recognition	recognition	NOUN
cana-1459	292	23	with	with	ADP
cana-1459	292	24	surf	surf	PROPN
cana-1459	292	25	”	"	PUNCT
cana-1459	292	26	,	,	PUNCT
cana-1459	292	27	procedia	procedia	NOUN
cana-1459	292	28	computer	computer	NOUN
cana-1459	292	29	science	science	NOUN
cana-1459	292	30	,	,	PUNCT
cana-1459	292	31	elsevier	elsevier	NOUN
cana-1459	292	32	,	,	PUNCT
cana-1459	292	33	volume	volume	NOUN
cana-1459	292	34	192	192	NUM
cana-1459	292	35	,	,	PUNCT
cana-1459	292	36	2021	2021	NUM
cana-1459	292	37	,	,	PUNCT
cana-1459	292	38	pages	page	NOUN
cana-1459	292	39	270–280	270–280	NUM
cana-1459	292	40	.	.	PUNCT
cana-1459	293	1	https://doi.org/10.1016/j.procs.2021.08.028	https://doi.org/10.1016/j.procs.2021.08.028	PROPN
cana-1459	294	1	[	[	X
cana-1459	294	2	12	12	NUM
cana-1459	294	3	]	]	X
cana-1459	294	4	huikai	huikai	PROPN
cana-1459	294	5	shao	shao	PROPN
cana-1459	294	6	;	;	PUNCT
cana-1459	294	7	dexing	dexe	VERB
cana-1459	294	8	zhong	zhong	PROPN
cana-1459	294	9	;	;	PUNCT
cana-1459	294	10	xuefeng	xuefeng	PROPN
cana-1459	294	11	du	du	PROPN
cana-1459	294	12	;	;	PUNCT
cana-1459	294	13	shaoyi	shaoyi	PROPN
cana-1459	294	14	du	du	PROPN
cana-1459	294	15	;	;	PUNCT
cana-1459	294	16	raymond	raymond	PROPN
cana-1459	294	17	n.	n.	PROPN
cana-1459	294	18	j.	j.	PROPN
cana-1459	294	19	veldhuis	veldhuis	PROPN
cana-1459	294	20	,	,	PUNCT
cana-1459	294	21	“	"	PUNCT
cana-1459	294	22	few	few	ADJ
cana-1459	294	23	-	-	PUNCT
cana-1459	294	24	shot	shot	NOUN
cana-1459	294	25	learning	learning	NOUN
cana-1459	294	26	for	for	ADP
cana-1459	294	27	palmprint	palmprint	NOUN
cana-1459	294	28	recognition	recognition	NOUN
cana-1459	294	29	via	via	ADP
cana-1459	294	30	meta	meta	ADJ
cana-1459	294	31	-	-	PUNCT
cana-1459	294	32	siamese	siamese	ADJ
cana-1459	294	33	network	network	NOUN
cana-1459	294	34	”	"	PUNCT
cana-1459	294	35	,	,	PUNCT
cana-1459	294	36	ieee	ieee	NOUN
cana-1459	294	37	transactions	transaction	NOUN
cana-1459	294	38	on	on	ADP
cana-1459	294	39	instrumentation	instrumentation	NOUN
cana-1459	294	40	and	and	CCONJ
cana-1459	294	41	measurement	measurement	NOUN
cana-1459	294	42	,	,	PUNCT
cana-1459	294	43	volume	volume	NOUN
cana-1459	294	44	70	70	NUM
cana-1459	294	45	,	,	PUNCT
cana-1459	294	46	2021	2021	NUM
cana-1459	294	47	,	,	PUNCT
cana-1459	294	48	pages	page	NOUN
cana-1459	294	49	1	1	NUM
cana-1459	294	50	-	-	SYM
cana-1459	294	51	12	12	NUM
cana-1459	294	52	.	.	PUNCT
cana-1459	295	1	doi	doi	NOUN
cana-1459	295	2	:	:	PUNCT
cana-1459	295	3	10.1109	10.1109	NUM
cana-1459	295	4	/	/	SYM
cana-1459	295	5	tim.2021.3076850	tim.2021.3076850	NUM
cana-1459	295	6	[	[	SYM
cana-1459	295	7	13	13	NUM
cana-1459	295	8	]	]	X
cana-1459	295	9	lunke	lunke	PROPN
cana-1459	295	10	fei	fei	PROPN
cana-1459	295	11	,	,	PUNCT
cana-1459	295	12	bob	bob	PROPN
cana-1459	295	13	zhang	zhang	PROPN
cana-1459	295	14	,	,	PUNCT
cana-1459	295	15	yong	yong	PROPN
cana-1459	295	16	xu	xu	PROPN
cana-1459	295	17	,	,	PUNCT
cana-1459	295	18	chunwei	chunwei	PROPN
cana-1459	295	19	tian	tian	PROPN
cana-1459	295	20	,	,	PUNCT
cana-1459	295	21	imad	imad	PROPN
cana-1459	295	22	rida	rida	PROPN
cana-1459	295	23	,	,	PUNCT
cana-1459	295	24	david	david	PROPN
cana-1459	295	25	zhang	zhang	PROPN
cana-1459	295	26	,	,	PUNCT
cana-1459	295	27	“	"	PUNCT
cana-1459	295	28	jointly	jointly	ADV
cana-1459	295	29	heterogeneous	heterogeneous	ADJ
cana-1459	295	30	palmprint	palmprint	NOUN
cana-1459	295	31	discriminant	discriminant	ADJ
cana-1459	295	32	feature	feature	NOUN
cana-1459	295	33	learning	learn	VERB
cana-1459	295	34	”	"	PUNCT
cana-1459	295	35	,	,	PUNCT
cana-1459	295	36	ieee	ieee	NOUN
cana-1459	295	37	transactions	transaction	NOUN
cana-1459	295	38	on	on	ADP
cana-1459	295	39	neural	neural	ADJ
cana-1459	295	40	networks	network	NOUN
cana-1459	295	41	and	and	CCONJ
cana-1459	295	42	learning	learn	VERB
cana-1459	295	43	systems	system	NOUN
cana-1459	295	44	,	,	PUNCT
cana-1459	295	45	volume	volume	NOUN
cana-1459	295	46	33	33	NUM
cana-1459	295	47	,	,	PUNCT
cana-1459	295	48	issue	issue	NOUN
cana-1459	295	49	9	9	NUM
cana-1459	295	50	,	,	PUNCT
cana-1459	295	51	2022	2022	NUM
cana-1459	295	52	,	,	PUNCT
cana-1459	295	53	pages	page	NOUN
cana-1459	295	54	4979	4979	NUM
cana-1459	295	55	–	–	PUNCT
cana-1459	295	56	4990	4990	NUM
cana-1459	295	57	.	.	PUNCT
cana-1459	296	1	doi	doi	NOUN
cana-1459	296	2	:	:	PUNCT
cana-1459	296	3	10.1109	10.1109	NUM
cana-1459	296	4	/	/	SYM
cana-1459	296	5	tnnls.2021.3066381	tnnls.2021.3066381	PRON
cana-1459	296	6	[	[	X
cana-1459	296	7	14	14	NUM
cana-1459	296	8	]	]	X
cana-1459	296	9	lian	lian	PROPN
cana-1459	296	10	wu	wu	PROPN
cana-1459	296	11	,	,	PUNCT
cana-1459	296	12	yong	yong	PROPN
cana-1459	296	13	xu	xu	PROPN
cana-1459	296	14	,	,	PUNCT
cana-1459	296	15	zhongwei	zhongwei	PROPN
cana-1459	296	16	cui	cui	PROPN
cana-1459	296	17	,	,	PUNCT
cana-1459	296	18	yu	yu	PROPN
cana-1459	296	19	zuo	zuo	PROPN
cana-1459	296	20	,	,	PUNCT
cana-1459	296	21	shuping	shupe	VERB
cana-1459	296	22	zhao	zhao	PROPN
cana-1459	296	23	and	and	CCONJ
cana-1459	296	24	lunke	lunke	PROPN
cana-1459	296	25	fei	fei	PROPN
cana-1459	296	26	,	,	PUNCT
cana-1459	296	27	“	"	PUNCT
cana-1459	296	28	triple	triple	ADJ
cana-1459	296	29	-	-	PUNCT
cana-1459	296	30	type	type	NOUN
cana-1459	296	31	feature	feature	NOUN
cana-1459	296	32	extraction	extraction	NOUN
cana-1459	296	33	for	for	ADP
cana-1459	296	34	palmprint	palmprint	NOUN
cana-1459	296	35	recognition	recognition	NOUN
cana-1459	296	36	”	"	PUNCT
cana-1459	296	37	,	,	PUNCT
cana-1459	296	38	sensors	sensor	NOUN
cana-1459	296	39	,	,	PUNCT
cana-1459	296	40	volume	volume	NOUN
cana-1459	296	41	21	21	NUM
cana-1459	296	42	,	,	PUNCT
cana-1459	296	43	issue	issue	NOUN
cana-1459	296	44	14	14	NUM
cana-1459	296	45	,	,	PUNCT
cana-1459	296	46	2021	2021	NUM
cana-1459	296	47	,	,	PUNCT
cana-1459	296	48	pages	page	NOUN
cana-1459	296	49	1	1	NUM
cana-1459	296	50	-	-	SYM
cana-1459	296	51	15	15	NUM
cana-1459	296	52	.	.	PUNCT
cana-1459	297	1	https://doi.org/10.3390/s21144896	https://doi.org/10.3390/s21144896	NUM
cana-1459	297	2	[	[	SYM
cana-1459	297	3	15	15	NUM
cana-1459	297	4	]	]	X
cana-1459	297	5	huikai	huikai	PROPN
cana-1459	297	6	shao	shao	PROPN
cana-1459	297	7	and	and	CCONJ
cana-1459	297	8	dexing	dexe	VERB
cana-1459	297	9	zhong	zhong	PROPN
cana-1459	297	10	,	,	PUNCT
cana-1459	297	11	“	"	PUNCT
cana-1459	297	12	towards	towards	ADP
cana-1459	297	13	cross	cross	ADJ
cana-1459	297	14	-	-	ADJ
cana-1459	297	15	dataset	dataset	ADJ
cana-1459	297	16	palmprint	palmprint	NOUN
cana-1459	297	17	recognition	recognition	NOUN
cana-1459	297	18	via	via	ADP
cana-1459	297	19	joint	joint	ADJ
cana-1459	297	20	pixel	pixel	NOUN
cana-1459	297	21	and	and	CCONJ
cana-1459	297	22	feature	feature	NOUN
cana-1459	297	23	alignment	alignment	NOUN
cana-1459	297	24	”	"	PUNCT
cana-1459	297	25	,	,	PUNCT
cana-1459	297	26	ieee	ieee	NOUN
cana-1459	297	27	transactions	transaction	NOUN
cana-1459	297	28	on	on	ADP
cana-1459	297	29	image	image	NOUN
cana-1459	297	30	processing	processing	NOUN
cana-1459	297	31	,	,	PUNCT
cana-1459	297	32	volume30	volume30	NOUN
cana-1459	297	33	,	,	PUNCT
cana-1459	297	34	2021	2021	NUM
cana-1459	297	35	,	,	PUNCT
cana-1459	297	36	pages	page	NOUN
cana-1459	297	37	3764	3764	NUM
cana-1459	297	38	–	–	PUNCT
cana-1459	297	39	3777	3777	NUM
cana-1459	297	40	.	.	PUNCT
cana-1459	298	1	doi	doi	NOUN
cana-1459	298	2	:	:	PUNCT
cana-1459	298	3	10.1109	10.1109	NUM
cana-1459	298	4	/	/	SYM
cana-1459	298	5	tip.2021.3065220	tip.2021.3065220	NOUN
cana-1459	298	6	communications	communication	NOUN
cana-1459	298	7	on	on	ADP
cana-1459	298	8	applied	apply	VERB
cana-1459	298	9	nonlinear	nonlinear	ADJ
cana-1459	298	10	analysis	analysis	NOUN
cana-1459	298	11	issn	issn	NOUN
cana-1459	298	12	:	:	PUNCT
cana-1459	298	13	1074	1074	NUM
cana-1459	298	14	-	-	PUNCT
cana-1459	298	15	133x	133x	NUM
cana-1459	298	16	vol	vol	NOUN
cana-1459	298	17	31	31	NUM
cana-1459	298	18	no	no	NOUN
cana-1459	298	19	.	.	PUNCT
cana-1459	299	1	8s	8s	PROPN
cana-1459	299	2	(	(	PUNCT
cana-1459	299	3	2024	2024	NUM
cana-1459	299	4	)	)	PUNCT
cana-1459	299	5	114	114	NUM
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cana-1459	300	1	[	[	X
cana-1459	300	2	16	16	NUM
cana-1459	300	3	]	]	PUNCT
cana-1459	300	4	inass	inass	PROPN
cana-1459	300	5	shahadha	shahadha	PROPN
cana-1459	300	6	hussein	hussein	PROPN
cana-1459	300	7	,	,	PUNCT
cana-1459	300	8	shamsul	shamsul	PROPN
cana-1459	300	9	bin	bin	PROPN
cana-1459	300	10	sahibuddin	sahibuddin	PROPN
cana-1459	300	11	,	,	PUNCT
cana-1459	300	12	md	md	PROPN
cana-1459	300	13	jan	jan	PROPN
cana-1459	300	14	nordin	nordin	PROPN
cana-1459	300	15	,	,	PUNCT
cana-1459	300	16	nilam	nilam	PROPN
cana-1459	300	17	nur	nur	VERB
cana-1459	300	18	binti	binti	PROPN
cana-1459	300	19	amir	amir	PROPN
cana-1459	300	20	sjarif	sjarif	PROPN
cana-1459	300	21	,	,	PUNCT
cana-1459	300	22	“	"	PUNCT
cana-1459	300	23	multimodal	multimodal	ADJ
cana-1459	300	24	recognition	recognition	NOUN
cana-1459	300	25	system	system	NOUN
cana-1459	300	26	based	base	VERB
cana-1459	300	27	on	on	ADP
cana-1459	300	28	high	high	ADJ
cana-1459	300	29	-	-	PUNCT
cana-1459	300	30	resolution	resolution	NOUN
cana-1459	300	31	palmprints	palmprint	NOUN
cana-1459	300	32	”	"	PUNCT
cana-1459	300	33	,	,	PUNCT
cana-1459	300	34	ieee	ieee	NOUN
cana-1459	300	35	access	access	NOUN
cana-1459	300	36	,	,	PUNCT
cana-1459	300	37	volume	volume	NOUN
cana-1459	300	38	8	8	NUM
cana-1459	300	39	,	,	PUNCT
cana-1459	300	40	pages	page	NOUN
cana-1459	300	41	56113	56113	NUM
cana-1459	300	42	–	–	PUNCT
cana-1459	300	43	56123	56123	NUM
cana-1459	300	44	.	.	PUNCT
cana-1459	301	1	doi	doi	NOUN
cana-1459	301	2	:	:	PUNCT
cana-1459	301	3	10.1109	10.1109	NUM
cana-1459	301	4	/	/	SYM
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cana-1459	301	6	[	[	NOUN
cana-1459	301	7	17	17	NUM
cana-1459	301	8	]	]	PUNCT
cana-1459	301	9	poonam	poonam	NOUN
cana-1459	301	10	pooniaa	pooniaa	NOUN
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cana-1459	301	13	k.	k.	PROPN
cana-1459	301	14	ajmerab	ajmerab	PROPN
cana-1459	301	15	,	,	PUNCT
cana-1459	301	16	vijayendra	vijayendra	NOUN
cana-1459	301	17	shende	shende	NOUN
cana-1459	301	18	,	,	PUNCT
cana-1459	301	19	“	"	PUNCT
cana-1459	301	20	palmprint	palmprint	NOUN
cana-1459	301	21	recognition	recognition	NOUN
cana-1459	301	22	using	use	VERB
cana-1459	301	23	robust	robust	ADJ
cana-1459	301	24	template	template	NOUN
cana-1459	301	25	matching	matching	NOUN
cana-1459	301	26	”	"	PUNCT
cana-1459	301	27	,	,	PUNCT
cana-1459	301	28	procedia	procedia	NOUN
cana-1459	301	29	computer	computer	NOUN
cana-1459	301	30	science	science	NOUN
cana-1459	301	31	,	,	PUNCT
cana-1459	301	32	elsevier	elsevier	NOUN
cana-1459	301	33	,	,	PUNCT
cana-1459	301	34	volume	volume	NOUN
cana-1459	301	35	167	167	NUM
cana-1459	301	36	,	,	PUNCT
cana-1459	301	37	2020	2020	NUM
cana-1459	301	38	,	,	PUNCT
cana-1459	301	39	pages	page	NOUN
cana-1459	301	40	727	727	NUM
cana-1459	301	41	-	-	SYM
cana-1459	301	42	736	736	NUM
cana-1459	301	43	.	.	PUNCT
cana-1459	302	1	https://doi.org/10.1016/j.procs.2020.03.338	https://doi.org/10.1016/j.procs.2020.03.338	NUM
cana-1459	302	2	[	[	SYM
cana-1459	302	3	18	18	NUM
cana-1459	302	4	]	]	X
cana-1459	302	5	xiancheng	xiancheng	PROPN
cana-1459	302	6	zhou	zhou	PROPN
cana-1459	302	7	,	,	PUNCT
cana-1459	302	8	kaijun	kaijun	PROPN
cana-1459	302	9	zhou	zhou	PROPN
cana-1459	302	10	,	,	PUNCT
cana-1459	302	11	lizhi	lizhi	PROPN
cana-1459	302	12	shen	shen	PROPN
cana-1459	302	13	,	,	PUNCT
cana-1459	302	14	“	"	PUNCT
cana-1459	302	15	rotation	rotation	NOUN
cana-1459	302	16	and	and	CCONJ
cana-1459	302	17	translation	translation	NOUN
cana-1459	302	18	invariant	invariant	PROPN
cana-1459	302	19	palmprint	palmprint	NOUN
cana-1459	302	20	recognition	recognition	NOUN
cana-1459	302	21	with	with	ADP
cana-1459	302	22	biologically	biologically	ADV
cana-1459	302	23	inspired	inspire	VERB
cana-1459	302	24	transform	transform	NOUN
cana-1459	302	25	”	"	PUNCT
cana-1459	302	26	,	,	PUNCT
cana-1459	302	27	ieee	ieee	NOUN
cana-1459	302	28	access	access	NOUN
cana-1459	302	29	,	,	PUNCT
cana-1459	302	30	volume8	volume8	PROPN
cana-1459	302	31	,	,	PUNCT
cana-1459	302	32	2020	2020	NUM
cana-1459	302	33	,	,	PUNCT
cana-1459	302	34	pages	page	NOUN
cana-1459	302	35	80097	80097	NUM
cana-1459	302	36	–	–	PUNCT
cana-1459	302	37	80119	80119	NUM
cana-1459	302	38	.	.	PUNCT
cana-1459	303	1	doi	doi	NOUN
cana-1459	303	2	:	:	PUNCT
cana-1459	303	3	10.1109	10.1109	NUM
cana-1459	303	4	/	/	SYM
cana-1459	303	5	access.2020.2990736	access.2020.2990736	PROPN
cana-1459	303	6	[	[	X
cana-1459	303	7	19	19	NUM
cana-1459	303	8	]	]	X
cana-1459	303	9	mohan	mohan	PROPN
cana-1459	303	10	abdullah	abdullah	PROPN
cana-1459	303	11	,	,	PUNCT
cana-1459	303	12	beshir	beshir	PROPN
cana-1459	303	13	kedir	kedir	PROPN
cana-1459	303	14	,	,	PUNCT
cana-1459	303	15	kebede	kebede	PROPN
cana-1459	303	16	abebe	abebe	PROPN
cana-1459	303	17	alemayehu	alemayehu	PROPN
cana-1459	303	18	,	,	PUNCT
cana-1459	303	19	and	and	CCONJ
cana-1459	303	20	hailu	hailu	VERB
cana-1459	303	21	takore	takore	ADV
cana-1459	303	22	habtemarium	habtemarium	NOUN
cana-1459	303	23	,	,	PUNCT
cana-1459	303	24	“	"	PUNCT
cana-1459	303	25	a	a	DET
cana-1459	303	26	single	single	ADJ
cana-1459	303	27	objective	objective	ADJ
cana-1459	303	28	ga	ga	PROPN
cana-1459	303	29	and	and	CCONJ
cana-1459	303	30	pso	pso	NOUN
cana-1459	303	31	for	for	ADP
cana-1459	303	32	the	the	DET
cana-1459	303	33	multimodal	multimodal	NOUN
cana-1459	303	34	palmprint	palmprint	NOUN
cana-1459	303	35	recognition	recognition	NOUN
cana-1459	303	36	system	system	NOUN
cana-1459	303	37	”	"	PUNCT
cana-1459	303	38	,	,	PUNCT
cana-1459	303	39	mathematical	mathematical	ADJ
cana-1459	303	40	problems	problem	NOUN
cana-1459	303	41	in	in	ADP
cana-1459	303	42	engineering	engineering	NOUN
cana-1459	303	43	,	,	PUNCT
cana-1459	303	44	hindawi	hindawi	ADJ
cana-1459	303	45	,	,	PUNCT
cana-1459	303	46	volume	volume	NOUN
cana-1459	303	47	2023	2023	NUM
cana-1459	303	48	,	,	PUNCT
cana-1459	303	49	january	january	PROPN
cana-1459	303	50	2023	2023	NUM
cana-1459	303	51	,	,	PUNCT
cana-1459	303	52	pages	page	NOUN
cana-1459	303	53	1	1	NUM
cana-1459	303	54	-	-	SYM
cana-1459	303	55	14	14	NUM
cana-1459	303	56	.	.	PUNCT
cana-1459	303	57	https://doi.org/10.1155/2023/7621550	https://doi.org/10.1155/2023/7621550	PRON
cana-1459	304	1	[	[	X
cana-1459	304	2	20	20	NUM
cana-1459	304	3	]	]	PUNCT
cana-1459	304	4	yu	yu	PROPN
cana-1459	304	5	fan	fan	PROPN
cana-1459	304	6	,	,	PUNCT
cana-1459	304	7	jinxi	jinxi	PROPN
cana-1459	304	8	li	li	PROPN
cana-1459	304	9	,	,	PUNCT
cana-1459	304	10	shaoying	shaoying	NOUN
cana-1459	304	11	song	song	NOUN
cana-1459	304	12	,	,	PUNCT
cana-1459	304	13	haiguo	haiguo	PROPN
cana-1459	304	14	zhang	zhang	PROPN
cana-1459	304	15	,	,	PUNCT
cana-1459	304	16	sijia	sijia	PROPN
cana-1459	304	17	wang	wang	PROPN
cana-1459	304	18	&	&	CCONJ
cana-1459	304	19	guangtao	guangtao	PROPN
cana-1459	304	20	zhai	zhai	PROPN
cana-1459	304	21	,	,	PUNCT
cana-1459	304	22	“	"	PUNCT
cana-1459	304	23	palmprint	palmprint	VERB
cana-1459	304	24	phenotype	phenotype	NOUN
cana-1459	304	25	feature	feature	NOUN
cana-1459	304	26	extraction	extraction	NOUN
cana-1459	304	27	and	and	CCONJ
cana-1459	304	28	classification	classification	NOUN
cana-1459	304	29	based	base	VERB
cana-1459	304	30	on	on	ADP
cana-1459	304	31	deep	deep	ADJ
cana-1459	304	32	learning	learning	NOUN
cana-1459	304	33	”	"	PUNCT
cana-1459	304	34	,	,	PUNCT
cana-1459	304	35	phenomics	phenomic	NOUN
cana-1459	304	36	,	,	PUNCT
cana-1459	304	37	springer	springer	NOUN
cana-1459	304	38	,	,	PUNCT
cana-1459	304	39	volume	volume	NOUN
cana-1459	304	40	2	2	NUM
cana-1459	304	41	,	,	PUNCT
cana-1459	304	42	2022	2022	NUM
cana-1459	304	43	,	,	PUNCT
cana-1459	304	44	pages	page	NOUN
cana-1459	304	45	219229.https://doi.org/10.1007/s43657-022-00063-0	219229.https://doi.org/10.1007/s43657-022-00063-0	NOUN