id	sid	tid	token	lemma	pos
aiti-13516	1	1	microsoft	microsoft	PROPN
aiti-13516	1	2	word	word	NOUN
aiti-13516	1	3	4	4	NUM
aiti-13516	1	4	-	-	PUNCT
aiti-13516	1	5	v9n3(2024)-aiti#13516(197	v9n3(2024)-aiti#13516(197	NOUN
aiti-13516	1	6	-	-	PUNCT
aiti-13516	1	7	209).docx	209).docx	NUM
aiti-13516	1	8	advances	advance	NOUN
aiti-13516	1	9	in	in	ADP
aiti-13516	1	10	technology	technology	NOUN
aiti-13516	1	11	innovation	innovation	NOUN
aiti-13516	1	12	,	,	PUNCT
aiti-13516	1	13	vol	vol	NOUN
aiti-13516	1	14	.	.	PROPN
aiti-13516	1	15	9	9	NUM
aiti-13516	1	16	,	,	PUNCT
aiti-13516	1	17	no	no	INTJ
aiti-13516	1	18	.	.	NOUN
aiti-13516	1	19	3	3	NUM
aiti-13516	1	20	,	,	PUNCT
aiti-13516	1	21	2024	2024	NUM
aiti-13516	1	22	,	,	PUNCT
aiti-13516	1	23	pp	pp	ADV
aiti-13516	1	24	.	.	PUNCT
aiti-13516	2	1	197	197	NUM
aiti-13516	2	2	-	-	SYM
aiti-13516	2	3	209	209	NUM
aiti-13516	2	4	english	english	ADJ
aiti-13516	2	5	language	language	NOUN
aiti-13516	2	6	proofreader	proofreader	NOUN
aiti-13516	2	7	:	:	PUNCT
aiti-13516	2	8	chih	chih	PROPN
aiti-13516	2	9	-	-	PUNCT
aiti-13516	2	10	wei	wei	PROPN
aiti-13516	2	11	chang	chang	PROPN
aiti-13516	2	12	iris	iris	PROPN
aiti-13516	2	13	recognition	recognition	PROPN
aiti-13516	2	14	scheme	scheme	NOUN
aiti-13516	2	15	based	base	VERB
aiti-13516	2	16	on	on	ADP
aiti-13516	2	17	entropy	entropy	NOUN
aiti-13516	2	18	and	and	CCONJ
aiti-13516	2	19	convolutional	convolutional	ADJ
aiti-13516	2	20	neural	neural	ADJ
aiti-13516	2	21	network	network	NOUN
aiti-13516	2	22	inass	inass	NOUN
aiti-13516	2	23	-	-	PUNCT
aiti-13516	2	24	shahadha	shahadha	PROPN
aiti-13516	2	25	hussein	hussein	PROPN
aiti-13516	2	26	*	*	PROPN
aiti-13516	2	27	,	,	PUNCT
aiti-13516	2	28	noor	noor	PROPN
aiti-13516	2	29	-	-	PUNCT
aiti-13516	2	30	abbood	abbood	PROPN
aiti-13516	2	31	jasim	jasim	PROPN
aiti-13516	2	32	middle	middle	PROPN
aiti-13516	2	33	technical	technical	PROPN
aiti-13516	2	34	university	university	PROPN
aiti-13516	2	35	,	,	PUNCT
aiti-13516	2	36	technical	technical	PROPN
aiti-13516	2	37	institute	institute	PROPN
aiti-13516	2	38	of	of	ADP
aiti-13516	2	39	baquba	baquba	PROPN
aiti-13516	2	40	,	,	PUNCT
aiti-13516	2	41	baghdad	baghdad	PROPN
aiti-13516	2	42	,	,	PUNCT
aiti-13516	2	43	iraq	iraq	PROPN
aiti-13516	2	44	received	receive	VERB
aiti-13516	2	45	28	28	NUM
aiti-13516	2	46	march	march	NOUN
aiti-13516	2	47	2024	2024	NUM
aiti-13516	2	48	;	;	PUNCT
aiti-13516	2	49	received	receive	VERB
aiti-13516	2	50	in	in	ADP
aiti-13516	2	51	revised	revise	VERB
aiti-13516	2	52	form	form	NOUN
aiti-13516	2	53	06	06	NUM
aiti-13516	2	54	may	may	PROPN
aiti-13516	2	55	2024	2024	NUM
aiti-13516	2	56	;	;	PUNCT
aiti-13516	2	57	accepted	accept	VERB
aiti-13516	2	58	07	07	NUM
aiti-13516	2	59	may	may	PROPN
aiti-13516	2	60	2024	2024	NUM
aiti-13516	2	61	doi	doi	NOUN
aiti-13516	2	62	:	:	PUNCT
aiti-13516	2	63	https://doi.org/10.46604/10.46604/aiti.2024.13516	https://doi.org/10.46604/10.46604/aiti.2024.13516	NOUN
aiti-13516	2	64	abstract	abstract	ADJ
aiti-13516	2	65	this	this	DET
aiti-13516	2	66	study	study	NOUN
aiti-13516	2	67	presents	present	VERB
aiti-13516	2	68	an	an	DET
aiti-13516	2	69	advanced	advanced	ADJ
aiti-13516	2	70	iris	iris	NOUN
aiti-13516	2	71	image	image	NOUN
aiti-13516	2	72	segmentation	segmentation	NOUN
aiti-13516	2	73	approach	approach	NOUN
aiti-13516	2	74	to	to	PART
aiti-13516	2	75	overcome	overcome	VERB
aiti-13516	2	76	vibration	vibration	NOUN
aiti-13516	2	77	and	and	CCONJ
aiti-13516	2	78	occlusion	occlusion	NOUN
aiti-13516	2	79	from	from	ADP
aiti-13516	2	80	the	the	DET
aiti-13516	2	81	lashes	lash	NOUN
aiti-13516	2	82	.	.	PUNCT
aiti-13516	3	1	the	the	DET
aiti-13516	3	2	proposed	propose	VERB
aiti-13516	3	3	scheme	scheme	NOUN
aiti-13516	3	4	removes	remove	VERB
aiti-13516	3	5	the	the	DET
aiti-13516	3	6	surrounding	surround	VERB
aiti-13516	3	7	areas	area	NOUN
aiti-13516	3	8	of	of	ADP
aiti-13516	3	9	the	the	DET
aiti-13516	3	10	iris	iris	NOUN
aiti-13516	3	11	image	image	NOUN
aiti-13516	3	12	to	to	PART
aiti-13516	3	13	recover	recover	VERB
aiti-13516	3	14	the	the	DET
aiti-13516	3	15	region	region	NOUN
aiti-13516	3	16	of	of	ADP
aiti-13516	3	17	interest	interest	NOUN
aiti-13516	3	18	(	(	PUNCT
aiti-13516	3	19	roi	roi	NOUN
aiti-13516	3	20	)	)	PUNCT
aiti-13516	3	21	containing	contain	VERB
aiti-13516	3	22	the	the	DET
aiti-13516	3	23	iris	iris	NOUN
aiti-13516	3	24	images	image	NOUN
aiti-13516	3	25	.	.	PUNCT
aiti-13516	4	1	the	the	DET
aiti-13516	4	2	entropy	entropy	PROPN
aiti-13516	4	3	function	function	PROPN
aiti-13516	4	4	and	and	CCONJ
aiti-13516	4	5	mathematical	mathematical	ADJ
aiti-13516	4	6	morphology	morphology	NOUN
aiti-13516	4	7	are	be	AUX
aiti-13516	4	8	employed	employ	VERB
aiti-13516	4	9	as	as	ADP
aiti-13516	4	10	the	the	DET
aiti-13516	4	11	foundation	foundation	NOUN
aiti-13516	4	12	of	of	ADP
aiti-13516	4	13	the	the	DET
aiti-13516	4	14	proposed	propose	VERB
aiti-13516	4	15	scheme	scheme	NOUN
aiti-13516	4	16	.	.	PUNCT
aiti-13516	5	1	initially	initially	ADV
aiti-13516	5	2	,	,	PUNCT
aiti-13516	5	3	the	the	DET
aiti-13516	5	4	entropy	entropy	NOUN
aiti-13516	5	5	function	function	NOUN
aiti-13516	5	6	is	be	AUX
aiti-13516	5	7	applied	apply	VERB
aiti-13516	5	8	to	to	ADP
aiti-13516	5	9	the	the	DET
aiti-13516	5	10	binarization	binarization	NOUN
aiti-13516	5	11	image	image	NOUN
aiti-13516	5	12	.	.	PUNCT
aiti-13516	6	1	subsequently	subsequently	ADV
aiti-13516	6	2	,	,	PUNCT
aiti-13516	6	3	the	the	DET
aiti-13516	6	4	roi	roi	NOUN
aiti-13516	6	5	is	be	AUX
aiti-13516	6	6	cropped	crop	VERB
aiti-13516	6	7	and	and	CCONJ
aiti-13516	6	8	extracted	extract	VERB
aiti-13516	6	9	from	from	ADP
aiti-13516	6	10	the	the	DET
aiti-13516	6	11	binary	binary	ADJ
aiti-13516	6	12	image	image	NOUN
aiti-13516	6	13	using	use	VERB
aiti-13516	6	14	the	the	DET
aiti-13516	6	15	dilation	dilation	NOUN
aiti-13516	6	16	method	method	NOUN
aiti-13516	6	17	.	.	PUNCT
aiti-13516	7	1	furthermore	furthermore	ADV
aiti-13516	7	2	,	,	PUNCT
aiti-13516	7	3	a	a	DET
aiti-13516	7	4	convolutional	convolutional	ADJ
aiti-13516	7	5	neural	neural	ADJ
aiti-13516	7	6	network	network	NOUN
aiti-13516	7	7	(	(	PUNCT
aiti-13516	7	8	cnn	cnn	PROPN
aiti-13516	7	9	)	)	PUNCT
aiti-13516	7	10	is	be	AUX
aiti-13516	7	11	used	use	VERB
aiti-13516	7	12	in	in	ADP
aiti-13516	7	13	the	the	DET
aiti-13516	7	14	recognition	recognition	NOUN
aiti-13516	7	15	phase	phase	NOUN
aiti-13516	7	16	.	.	PUNCT
aiti-13516	8	1	the	the	DET
aiti-13516	8	2	database	database	NOUN
aiti-13516	8	3	of	of	ADP
aiti-13516	8	4	the	the	DET
aiti-13516	8	5	indian	indian	PROPN
aiti-13516	8	6	institute	institute	PROPN
aiti-13516	8	7	of	of	ADP
aiti-13516	8	8	technology	technology	PROPN
aiti-13516	8	9	delhi	delhi	PROPN
aiti-13516	8	10	(	(	PUNCT
aiti-13516	8	11	iit	iit	PROPN
aiti-13516	8	12	delhi	delhi	PROPN
aiti-13516	8	13	)	)	PUNCT
aiti-13516	8	14	serves	serve	VERB
aiti-13516	8	15	as	as	ADP
aiti-13516	8	16	a	a	DET
aiti-13516	8	17	test	test	NOUN
aiti-13516	8	18	.	.	PUNCT
aiti-13516	9	1	the	the	DET
aiti-13516	9	2	results	result	NOUN
aiti-13516	9	3	yield	yield	VERB
aiti-13516	9	4	a	a	DET
aiti-13516	9	5	high	high	ADJ
aiti-13516	9	6	level	level	NOUN
aiti-13516	9	7	of	of	ADP
aiti-13516	9	8	accuracy	accuracy	NOUN
aiti-13516	9	9	—	—	PUNCT
aiti-13516	9	10	up	up	ADP
aiti-13516	9	11	to	to	PART
aiti-13516	9	12	93	93	NUM
aiti-13516	9	13	%	%	NOUN
aiti-13516	9	14	during	during	ADP
aiti-13516	9	15	segmentation	segmentation	NOUN
aiti-13516	9	16	.	.	PUNCT
aiti-13516	10	1	using	use	VERB
aiti-13516	10	2	half	half	NOUN
aiti-13516	10	3	of	of	ADP
aiti-13516	10	4	the	the	DET
aiti-13516	10	5	dataset	dataset	NOUN
aiti-13516	10	6	during	during	ADP
aiti-13516	10	7	the	the	DET
aiti-13516	10	8	recognition	recognition	NOUN
aiti-13516	10	9	phase	phase	NOUN
aiti-13516	10	10	results	result	VERB
aiti-13516	10	11	in	in	ADP
aiti-13516	10	12	an	an	DET
aiti-13516	10	13	accuracy	accuracy	NOUN
aiti-13516	10	14	of	of	ADP
aiti-13516	10	15	98.8	98.8	NUM
aiti-13516	10	16	%	%	NOUN
aiti-13516	10	17	,	,	PUNCT
aiti-13516	10	18	while	while	SCONJ
aiti-13516	10	19	using	use	VERB
aiti-13516	10	20	the	the	DET
aiti-13516	10	21	complete	complete	ADJ
aiti-13516	10	22	database	database	NOUN
aiti-13516	10	23	produces	produce	VERB
aiti-13516	10	24	an	an	DET
aiti-13516	10	25	accuracy	accuracy	NOUN
aiti-13516	10	26	of	of	ADP
aiti-13516	10	27	97.5	97.5	NUM
aiti-13516	10	28	%	%	NOUN
aiti-13516	10	29	.	.	PUNCT
aiti-13516	11	1	keywords	keyword	NOUN
aiti-13516	11	2	:	:	PUNCT
aiti-13516	11	3	iris	iris	NOUN
aiti-13516	11	4	,	,	PUNCT
aiti-13516	11	5	segmentation	segmentation	NOUN
aiti-13516	11	6	,	,	PUNCT
aiti-13516	11	7	morphology	morphology	NOUN
aiti-13516	11	8	,	,	PUNCT
aiti-13516	11	9	entropy	entropy	PROPN
aiti-13516	11	10	,	,	PUNCT
aiti-13516	11	11	cnn	cnn	PROPN
aiti-13516	11	12	1	1	NUM
aiti-13516	11	13	.	.	PUNCT
aiti-13516	12	1	introduction	introduction	NOUN
aiti-13516	12	2	biometric	biometric	ADJ
aiti-13516	12	3	technologies	technology	NOUN
aiti-13516	12	4	have	have	AUX
aiti-13516	12	5	evolved	evolve	VERB
aiti-13516	12	6	significantly	significantly	ADV
aiti-13516	12	7	,	,	PUNCT
aiti-13516	12	8	revolutionizing	revolutionize	VERB
aiti-13516	12	9	the	the	DET
aiti-13516	12	10	field	field	NOUN
aiti-13516	12	11	of	of	ADP
aiti-13516	12	12	identification	identification	NOUN
aiti-13516	12	13	and	and	CCONJ
aiti-13516	12	14	authentication	authentication	NOUN
aiti-13516	12	15	.	.	PUNCT
aiti-13516	13	1	initially	initially	ADV
aiti-13516	13	2	,	,	PUNCT
aiti-13516	13	3	biometric	biometric	ADJ
aiti-13516	13	4	methods	method	NOUN
aiti-13516	13	5	were	be	AUX
aiti-13516	13	6	mainly	mainly	ADV
aiti-13516	13	7	correlated	correlate	VERB
aiti-13516	13	8	with	with	ADP
aiti-13516	13	9	fingerprints	fingerprint	NOUN
aiti-13516	13	10	,	,	PUNCT
aiti-13516	13	11	and	and	CCONJ
aiti-13516	13	12	the	the	DET
aiti-13516	13	13	earliest	early	ADJ
aiti-13516	13	14	systems	system	NOUN
aiti-13516	13	15	were	be	AUX
aiti-13516	13	16	developed	develop	VERB
aiti-13516	13	17	in	in	ADP
aiti-13516	13	18	the	the	DET
aiti-13516	13	19	late	late	ADJ
aiti-13516	13	20	1800s	1800	NOUN
aiti-13516	13	21	.	.	PUNCT
aiti-13516	14	1	however	however	ADV
aiti-13516	14	2	,	,	PUNCT
aiti-13516	14	3	as	as	SCONJ
aiti-13516	14	4	computing	compute	VERB
aiti-13516	14	5	capacity	capacity	NOUN
aiti-13516	14	6	and	and	CCONJ
aiti-13516	14	7	sensor	sensor	NOUN
aiti-13516	14	8	technology	technology	NOUN
aiti-13516	14	9	have	have	AUX
aiti-13516	14	10	increased	increase	VERB
aiti-13516	14	11	,	,	PUNCT
aiti-13516	14	12	the	the	DET
aiti-13516	14	13	growth	growth	NOUN
aiti-13516	14	14	of	of	ADP
aiti-13516	14	15	biometric	biometric	ADJ
aiti-13516	14	16	modalities	modality	NOUN
aiti-13516	14	17	,	,	PUNCT
aiti-13516	14	18	including	include	VERB
aiti-13516	14	19	voice	voice	NOUN
aiti-13516	14	20	,	,	PUNCT
aiti-13516	14	21	face	face	NOUN
aiti-13516	14	22	,	,	PUNCT
aiti-13516	14	23	iris	iris	NOUN
aiti-13516	14	24	,	,	PUNCT
aiti-13516	14	25	and	and	CCONJ
aiti-13516	14	26	palmprint	palmprint	VERB
aiti-13516	14	27	identification	identification	NOUN
aiti-13516	14	28	,	,	PUNCT
aiti-13516	14	29	etc	etc	X
aiti-13516	14	30	.	.	X
aiti-13516	14	31	,	,	PUNCT
aiti-13516	14	32	has	have	AUX
aiti-13516	14	33	ensued	ensue	VERB
aiti-13516	14	34	quantitatively	quantitatively	ADV
aiti-13516	14	35	[	[	X
aiti-13516	14	36	1	1	NUM
aiti-13516	14	37	]	]	PUNCT
aiti-13516	14	38	.	.	PUNCT
aiti-13516	15	1	biometric	biometric	ADJ
aiti-13516	15	2	identifications	identification	NOUN
aiti-13516	15	3	using	use	VERB
aiti-13516	15	4	the	the	DET
aiti-13516	15	5	iris	iris	NOUN
aiti-13516	15	6	,	,	PUNCT
aiti-13516	15	7	sclera	sclera	NOUN
aiti-13516	15	8	,	,	PUNCT
aiti-13516	15	9	and	and	CCONJ
aiti-13516	15	10	fingerprints	fingerprint	NOUN
aiti-13516	15	11	have	have	AUX
aiti-13516	15	12	increasingly	increasingly	ADV
aiti-13516	15	13	been	be	AUX
aiti-13516	15	14	employed	employ	VERB
aiti-13516	15	15	for	for	ADP
aiti-13516	15	16	authentication	authentication	NOUN
aiti-13516	15	17	[	[	X
aiti-13516	15	18	1	1	NUM
aiti-13516	15	19	]	]	PUNCT
aiti-13516	15	20	.	.	PUNCT
aiti-13516	16	1	iris	iris	NOUN
aiti-13516	16	2	recognition	recognition	PROPN
aiti-13516	16	3	(	(	PUNCT
aiti-13516	16	4	ir	ir	NOUN
aiti-13516	16	5	)	)	PUNCT
aiti-13516	16	6	has	have	AUX
aiti-13516	16	7	been	be	AUX
aiti-13516	16	8	habitually	habitually	ADV
aiti-13516	16	9	deployed	deploy	VERB
aiti-13516	16	10	in	in	ADP
aiti-13516	16	11	multifarious	multifarious	ADJ
aiti-13516	16	12	applications	application	NOUN
aiti-13516	16	13	,	,	PUNCT
aiti-13516	16	14	e.g.	e.g.	ADV
aiti-13516	16	15	,	,	PUNCT
aiti-13516	16	16	security	security	NOUN
aiti-13516	16	17	,	,	PUNCT
aiti-13516	16	18	e	e	NOUN
aiti-13516	16	19	-	-	NOUN
aiti-13516	16	20	commerce	commerce	NOUN
aiti-13516	16	21	,	,	PUNCT
aiti-13516	16	22	finance	finance	NOUN
aiti-13516	16	23	,	,	PUNCT
aiti-13516	16	24	etc	etc	X
aiti-13516	17	1	[	[	X
aiti-13516	17	2	2	2	NUM
aiti-13516	17	3	]	]	PUNCT
aiti-13516	17	4	.	.	PUNCT
aiti-13516	18	1	to	to	PART
aiti-13516	18	2	discuss	discuss	VERB
aiti-13516	18	3	further	far	ADV
aiti-13516	18	4	,	,	PUNCT
aiti-13516	18	5	iris	iris	NOUN
aiti-13516	18	6	biometrics	biometric	NOUN
aiti-13516	18	7	is	be	AUX
aiti-13516	18	8	the	the	DET
aiti-13516	18	9	most	most	ADV
aiti-13516	18	10	accurate	accurate	ADJ
aiti-13516	18	11	and	and	CCONJ
aiti-13516	18	12	safest	safe	ADJ
aiti-13516	18	13	method	method	NOUN
aiti-13516	18	14	concerning	concern	VERB
aiti-13516	18	15	identification	identification	NOUN
aiti-13516	18	16	.	.	PUNCT
aiti-13516	19	1	additionally	additionally	ADV
aiti-13516	19	2	,	,	PUNCT
aiti-13516	19	3	among	among	ADP
aiti-13516	19	4	various	various	ADJ
aiti-13516	19	5	physiological	physiological	ADJ
aiti-13516	19	6	patterns	pattern	NOUN
aiti-13516	19	7	,	,	PUNCT
aiti-13516	19	8	iris	iris	NOUN
aiti-13516	19	9	biometrics	biometric	NOUN
aiti-13516	19	10	is	be	AUX
aiti-13516	19	11	well	well	ADV
aiti-13516	19	12	known	know	VERB
aiti-13516	19	13	for	for	ADP
aiti-13516	19	14	confidentiality	confidentiality	NOUN
aiti-13516	19	15	and	and	CCONJ
aiti-13516	19	16	dependability	dependability	NOUN
aiti-13516	19	17	[	[	X
aiti-13516	19	18	3	3	NUM
aiti-13516	19	19	]	]	PUNCT
aiti-13516	19	20	.	.	PUNCT
aiti-13516	20	1	however	however	ADV
aiti-13516	20	2	,	,	PUNCT
aiti-13516	20	3	a	a	DET
aiti-13516	20	4	potential	potential	ADJ
aiti-13516	20	5	challenge	challenge	NOUN
aiti-13516	20	6	lies	lie	VERB
aiti-13516	20	7	in	in	ADP
aiti-13516	20	8	ir	ir	PROPN
aiti-13516	20	9	with	with	ADP
aiti-13516	20	10	the	the	DET
aiti-13516	20	11	requirement	requirement	NOUN
aiti-13516	20	12	for	for	ADP
aiti-13516	20	13	high	high	ADJ
aiti-13516	20	14	-	-	PUNCT
aiti-13516	20	15	quality	quality	NOUN
aiti-13516	20	16	imaging	imaging	NOUN
aiti-13516	20	17	devices	device	NOUN
aiti-13516	20	18	and	and	CCONJ
aiti-13516	20	19	controlled	control	VERB
aiti-13516	20	20	environments	environment	NOUN
aiti-13516	20	21	to	to	PART
aiti-13516	20	22	guarantee	guarantee	VERB
aiti-13516	20	23	accurate	accurate	ADJ
aiti-13516	20	24	and	and	CCONJ
aiti-13516	20	25	reliable	reliable	ADJ
aiti-13516	20	26	results	result	NOUN
aiti-13516	20	27	.	.	PUNCT
aiti-13516	21	1	mostofa	mostofa	NOUN
aiti-13516	21	2	et	et	PROPN
aiti-13516	21	3	al	al	PROPN
aiti-13516	21	4	.	.	PUNCT
aiti-13516	22	1	[	[	X
aiti-13516	22	2	4	4	X
aiti-13516	22	3	]	]	PUNCT
aiti-13516	22	4	have	have	AUX
aiti-13516	22	5	summarized	summarize	VERB
aiti-13516	22	6	the	the	DET
aiti-13516	22	7	benefits	benefit	NOUN
aiti-13516	22	8	of	of	ADP
aiti-13516	22	9	iris	iris	NOUN
aiti-13516	22	10	biometry	biometry	NOUN
aiti-13516	22	11	,	,	PUNCT
aiti-13516	22	12	while	while	SCONJ
aiti-13516	22	13	the	the	DET
aiti-13516	22	14	statements	statement	NOUN
aiti-13516	22	15	describe	describe	VERB
aiti-13516	22	16	the	the	DET
aiti-13516	22	17	iris	iris	NOUN
aiti-13516	22	18	as	as	SCONJ
aiti-13516	22	19	follows	follow	VERB
aiti-13516	22	20	:	:	PUNCT
aiti-13516	22	21	(	(	PUNCT
aiti-13516	22	22	a	a	X
aiti-13516	22	23	)	)	PUNCT
aiti-13516	22	24	uniqueness	uniqueness	NOUN
aiti-13516	22	25	:	:	PUNCT
aiti-13516	22	26	even	even	ADV
aiti-13516	22	27	if	if	SCONJ
aiti-13516	22	28	comparing	compare	VERB
aiti-13516	22	29	a	a	DET
aiti-13516	22	30	pair	pair	NOUN
aiti-13516	22	31	of	of	ADP
aiti-13516	22	32	irises	iris	NOUN
aiti-13516	22	33	of	of	ADP
aiti-13516	22	34	a	a	DET
aiti-13516	22	35	certain	certain	ADJ
aiti-13516	22	36	person	person	NOUN
aiti-13516	22	37	or	or	CCONJ
aiti-13516	22	38	twins	twin	NOUN
aiti-13516	22	39	,	,	PUNCT
aiti-13516	22	40	the	the	DET
aiti-13516	22	41	irises	iris	NOUN
aiti-13516	22	42	are	be	AUX
aiti-13516	22	43	unreservedly	unreservedly	ADV
aiti-13516	22	44	heterogeneous	heterogeneous	ADJ
aiti-13516	22	45	;	;	PUNCT
aiti-13516	22	46	(	(	PUNCT
aiti-13516	22	47	b	b	X
aiti-13516	22	48	)	)	PUNCT
aiti-13516	22	49	stability	stability	NOUN
aiti-13516	22	50	:	:	PUNCT
aiti-13516	22	51	typically	typically	ADV
aiti-13516	22	52	,	,	PUNCT
aiti-13516	22	53	iris	iris	NOUN
aiti-13516	22	54	develops	develop	VERB
aiti-13516	22	55	from	from	ADP
aiti-13516	22	56	childhood	childhood	NOUN
aiti-13516	22	57	and	and	CCONJ
aiti-13516	22	58	maintains	maintain	VERB
aiti-13516	22	59	the	the	DET
aiti-13516	22	60	physical	physical	ADJ
aiti-13516	22	61	characteristics	characteristic	NOUN
aiti-13516	22	62	permanently	permanently	ADV
aiti-13516	22	63	;	;	PUNCT
aiti-13516	22	64	(	(	PUNCT
aiti-13516	22	65	c	c	X
aiti-13516	22	66	)	)	PUNCT
aiti-13516	22	67	the	the	DET
aiti-13516	22	68	provision	provision	NOUN
aiti-13516	22	69	of	of	ADP
aiti-13516	22	70	texture	texture	ADJ
aiti-13516	22	71	information	information	NOUN
aiti-13516	22	72	:	:	PUNCT
aiti-13516	22	73	iris	iris	NOUN
aiti-13516	22	74	furnishes	furnish	VERB
aiti-13516	22	75	the	the	DET
aiti-13516	22	76	owner	owner	NOUN
aiti-13516	22	77	with	with	ADP
aiti-13516	22	78	texture	texture	ADJ
aiti-13516	22	79	information	information	NOUN
aiti-13516	22	80	concerning	concern	VERB
aiti-13516	22	81	stripes	stripe	NOUN
aiti-13516	22	82	,	,	PUNCT
aiti-13516	22	83	spots	spot	NOUN
aiti-13516	22	84	,	,	PUNCT
aiti-13516	22	85	and	and	CCONJ
aiti-13516	22	86	coronas	coronas	PROPN
aiti-13516	22	87	.	.	PUNCT
aiti-13516	23	1	(	(	PUNCT
aiti-13516	23	2	d	d	X
aiti-13516	23	3	)	)	PUNCT
aiti-13516	23	4	security	security	NOUN
aiti-13516	23	5	:	:	PUNCT
aiti-13516	23	6	the	the	DET
aiti-13516	23	7	iris	iris	NOUN
aiti-13516	23	8	is	be	AUX
aiti-13516	23	9	located	locate	VERB
aiti-13516	23	10	in	in	ADP
aiti-13516	23	11	a	a	DET
aiti-13516	23	12	circular	circular	ADJ
aiti-13516	23	13	area	area	NOUN
aiti-13516	23	14	beneath	beneath	ADP
aiti-13516	23	15	the	the	DET
aiti-13516	23	16	surface	surface	NOUN
aiti-13516	23	17	of	of	ADP
aiti-13516	23	18	the	the	DET
aiti-13516	23	19	eye	eye	NOUN
aiti-13516	23	20	,	,	PUNCT
aiti-13516	23	21	between	between	ADP
aiti-13516	23	22	the	the	DET
aiti-13516	23	23	black	black	ADJ
aiti-13516	23	24	pupil	pupil	NOUN
aiti-13516	23	25	and	and	CCONJ
aiti-13516	23	26	the	the	DET
aiti-13516	23	27	white	white	ADJ
aiti-13516	23	28	sclera	sclera	NOUN
aiti-13516	23	29	.	.	PUNCT
aiti-13516	24	1	hence	hence	ADV
aiti-13516	24	2	,	,	PUNCT
aiti-13516	24	3	given	give	VERB
aiti-13516	24	4	the	the	DET
aiti-13516	24	5	location	location	NOUN
aiti-13516	24	6	,	,	PUNCT
aiti-13516	24	7	the	the	DET
aiti-13516	24	8	iris	iris	NOUN
aiti-13516	24	9	is	be	AUX
aiti-13516	24	10	rarely	rarely	ADV
aiti-13516	24	11	affected	affect	VERB
aiti-13516	24	12	externally	externally	ADV
aiti-13516	24	13	.	.	PUNCT
aiti-13516	25	1	meanwhile	meanwhile	ADV
aiti-13516	25	2	,	,	PUNCT
aiti-13516	25	3	with	with	ADP
aiti-13516	25	4	such	such	DET
aiti-13516	25	5	a	a	DET
aiti-13516	25	6	feature	feature	NOUN
aiti-13516	25	7	,	,	PUNCT
aiti-13516	25	8	faking	fake	VERB
aiti-13516	25	9	the	the	DET
aiti-13516	25	10	iris	iris	NOUN
aiti-13516	25	11	pattern	pattern	NOUN
aiti-13516	25	12	is	be	AUX
aiti-13516	25	13	theoretically	theoretically	ADV
aiti-13516	25	14	*	*	PUNCT
aiti-13516	25	15	corresponding	correspond	VERB
aiti-13516	25	16	author	author	NOUN
aiti-13516	25	17	.	.	PUNCT
aiti-13516	26	1	e	e	X
aiti-13516	26	2	-	-	NOUN
aiti-13516	26	3	mail	mail	NOUN
aiti-13516	26	4	address	address	NOUN
aiti-13516	26	5	:	:	PUNCT
aiti-13516	26	6	inasshussin@mtu.edu.iq	inasshussin@mtu.edu.iq	ADJ
aiti-13516	26	7	198	198	NUM
aiti-13516	26	8	advances	advance	NOUN
aiti-13516	26	9	in	in	ADP
aiti-13516	26	10	technology	technology	NOUN
aiti-13516	26	11	innovation	innovation	NOUN
aiti-13516	26	12	,	,	PUNCT
aiti-13516	26	13	vol	vol	NOUN
aiti-13516	26	14	.	.	PROPN
aiti-13516	27	1	9	9	NUM
aiti-13516	27	2	,	,	PUNCT
aiti-13516	27	3	no	no	INTJ
aiti-13516	27	4	.	.	NOUN
aiti-13516	27	5	3	3	NUM
aiti-13516	27	6	,	,	PUNCT
aiti-13516	27	7	2024	2024	NUM
aiti-13516	27	8	,	,	PUNCT
aiti-13516	27	9	pp	pp	ADV
aiti-13516	27	10	.	.	PUNCT
aiti-13516	28	1	197	197	NUM
aiti-13516	28	2	-	-	SYM
aiti-13516	28	3	209	209	NUM
aiti-13516	28	4	impossible	impossible	ADJ
aiti-13516	28	5	;	;	PUNCT
aiti-13516	28	6	(	(	PUNCT
aiti-13516	28	7	e	e	NOUN
aiti-13516	28	8	)	)	PUNCT
aiti-13516	28	9	noncontact	noncontact	ADJ
aiti-13516	28	10	activation	activation	NOUN
aiti-13516	28	11	:	:	PUNCT
aiti-13516	28	12	compared	compare	VERB
aiti-13516	28	13	to	to	ADP
aiti-13516	28	14	biometrics	biometric	NOUN
aiti-13516	28	15	undergoing	undergo	VERB
aiti-13516	28	16	tactile	tactile	NOUN
aiti-13516	28	17	or	or	CCONJ
aiti-13516	28	18	any	any	DET
aiti-13516	28	19	physical	physical	ADJ
aiti-13516	28	20	interaction	interaction	NOUN
aiti-13516	28	21	,	,	PUNCT
aiti-13516	28	22	e.g.	e.g.	ADV
aiti-13516	28	23	,	,	PUNCT
aiti-13516	28	24	fingerprint	fingerprint	NOUN
aiti-13516	28	25	recognition	recognition	NOUN
aiti-13516	28	26	,	,	PUNCT
aiti-13516	28	27	ir	ir	PROPN
aiti-13516	28	28	is	be	AUX
aiti-13516	28	29	comparatively	comparatively	ADV
aiti-13516	28	30	hygienic	hygienic	ADJ
aiti-13516	28	31	.	.	PUNCT
aiti-13516	29	1	considering	consider	VERB
aiti-13516	29	2	the	the	DET
aiti-13516	29	3	aforementioned	aforementioned	ADJ
aiti-13516	29	4	benefits	benefit	NOUN
aiti-13516	29	5	,	,	PUNCT
aiti-13516	29	6	the	the	DET
aiti-13516	29	7	iris	iris	NOUN
aiti-13516	29	8	has	have	AUX
aiti-13516	29	9	been	be	AUX
aiti-13516	29	10	employed	employ	VERB
aiti-13516	29	11	in	in	ADP
aiti-13516	29	12	identification	identification	NOUN
aiti-13516	29	13	extensively	extensively	ADV
aiti-13516	29	14	.	.	PUNCT
aiti-13516	30	1	historically	historically	ADV
aiti-13516	30	2	,	,	PUNCT
aiti-13516	30	3	the	the	DET
aiti-13516	30	4	first	first	ADJ
aiti-13516	30	5	automatic	automatic	ADJ
aiti-13516	30	6	ir	ir	NOUN
aiti-13516	30	7	system	system	NOUN
aiti-13516	30	8	was	be	AUX
aiti-13516	30	9	introduced	introduce	VERB
aiti-13516	30	10	by	by	ADP
aiti-13516	30	11	daugman	daugman	PROPN
aiti-13516	30	12	[	[	X
aiti-13516	30	13	5	5	NUM
aiti-13516	30	14	]	]	PUNCT
aiti-13516	30	15	in	in	ADP
aiti-13516	30	16	1993	1993	NUM
aiti-13516	30	17	.	.	PUNCT
aiti-13516	31	1	in	in	ADP
aiti-13516	31	2	this	this	DET
aiti-13516	31	3	work	work	NOUN
aiti-13516	31	4	,	,	PUNCT
aiti-13516	31	5	the	the	DET
aiti-13516	31	6	iris	iris	NOUN
aiti-13516	31	7	region	region	NOUN
aiti-13516	31	8	is	be	AUX
aiti-13516	31	9	first	first	ADV
aiti-13516	31	10	segmented	segment	VERB
aiti-13516	31	11	using	use	VERB
aiti-13516	31	12	the	the	DET
aiti-13516	31	13	conventional	conventional	ADJ
aiti-13516	31	14	procedure	procedure	NOUN
aiti-13516	31	15	in	in	ADP
aiti-13516	31	16	most	most	ADJ
aiti-13516	31	17	ir	ir	PROPN
aiti-13516	31	18	works	work	NOUN
aiti-13516	31	19	.	.	PUNCT
aiti-13516	32	1	subsequently	subsequently	ADV
aiti-13516	32	2	,	,	PUNCT
aiti-13516	32	3	from	from	ADP
aiti-13516	32	4	the	the	DET
aiti-13516	32	5	segmented	segment	VERB
aiti-13516	32	6	images	image	NOUN
aiti-13516	32	7	,	,	PUNCT
aiti-13516	32	8	the	the	DET
aiti-13516	32	9	desired	desire	VERB
aiti-13516	32	10	features	feature	NOUN
aiti-13516	32	11	are	be	AUX
aiti-13516	32	12	retrieved	retrieve	VERB
aiti-13516	32	13	.	.	PUNCT
aiti-13516	33	1	the	the	DET
aiti-13516	33	2	majority	majority	NOUN
aiti-13516	33	3	of	of	ADP
aiti-13516	33	4	these	these	DET
aiti-13516	33	5	characteristics	characteristic	NOUN
aiti-13516	33	6	are	be	AUX
aiti-13516	33	7	typically	typically	ADV
aiti-13516	33	8	handcrafted	handcraft	VERB
aiti-13516	33	9	.	.	PUNCT
aiti-13516	34	1	the	the	DET
aiti-13516	34	2	use	use	NOUN
aiti-13516	34	3	of	of	ADP
aiti-13516	34	4	manual	manual	ADJ
aiti-13516	34	5	features	feature	NOUN
aiti-13516	34	6	causes	cause	VERB
aiti-13516	34	7	an	an	DET
aiti-13516	34	8	impasse	impasse	NOUN
aiti-13516	34	9	for	for	ADP
aiti-13516	34	10	traditional	traditional	ADJ
aiti-13516	34	11	approaches	approach	NOUN
aiti-13516	34	12	.	.	PUNCT
aiti-13516	35	1	as	as	ADP
aiti-13516	35	2	a	a	DET
aiti-13516	35	3	result	result	NOUN
aiti-13516	35	4	,	,	PUNCT
aiti-13516	35	5	to	to	PART
aiti-13516	35	6	resolve	resolve	VERB
aiti-13516	35	7	such	such	ADJ
aiti-13516	35	8	developmental	developmental	ADJ
aiti-13516	35	9	hindrance	hindrance	NOUN
aiti-13516	35	10	,	,	PUNCT
aiti-13516	35	11	daugman	daugman	X
aiti-13516	36	1	[	[	X
aiti-13516	36	2	6	6	NUM
aiti-13516	36	3	]	]	PUNCT
aiti-13516	36	4	introduced	introduce	VERB
aiti-13516	36	5	the	the	DET
aiti-13516	36	6	highly	highly	ADV
aiti-13516	36	7	accurate	accurate	ADJ
aiti-13516	36	8	and	and	CCONJ
aiti-13516	36	9	quick	quick	ADJ
aiti-13516	36	10	ir	ir	NOUN
aiti-13516	36	11	model	model	NOUN
aiti-13516	36	12	in	in	ADP
aiti-13516	36	13	2009	2009	NUM
aiti-13516	36	14	,	,	PUNCT
aiti-13516	36	15	according	accord	VERB
aiti-13516	36	16	to	to	ADP
aiti-13516	36	17	the	the	DET
aiti-13516	36	18	hamming	hamming	NOUN
aiti-13516	36	19	distance	distance	NOUN
aiti-13516	36	20	and	and	CCONJ
aiti-13516	36	21	gabor	gabor	PROPN
aiti-13516	36	22	filter	filter	NOUN
aiti-13516	36	23	,	,	PUNCT
aiti-13516	36	24	and	and	CCONJ
aiti-13516	36	25	employed	employ	VERB
aiti-13516	36	26	several	several	ADJ
aiti-13516	36	27	iris	iris	NOUN
aiti-13516	36	28	datasets	dataset	NOUN
aiti-13516	36	29	.	.	PUNCT
aiti-13516	37	1	on	on	ADP
aiti-13516	37	2	the	the	DET
aiti-13516	37	3	other	other	ADJ
aiti-13516	37	4	hand	hand	NOUN
aiti-13516	37	5	,	,	PUNCT
aiti-13516	37	6	pre	pre	ADJ
aiti-13516	37	7	-	-	ADJ
aiti-13516	37	8	processing	processing	NOUN
aiti-13516	37	9	and	and	CCONJ
aiti-13516	37	10	segmentation	segmentation	NOUN
aiti-13516	37	11	are	be	AUX
aiti-13516	37	12	two	two	NUM
aiti-13516	37	13	requisite	requisite	ADJ
aiti-13516	37	14	operations	operation	NOUN
aiti-13516	37	15	for	for	ADP
aiti-13516	37	16	the	the	DET
aiti-13516	37	17	identification	identification	NOUN
aiti-13516	37	18	method	method	NOUN
aiti-13516	37	19	,	,	PUNCT
aiti-13516	37	20	especially	especially	ADV
aiti-13516	37	21	the	the	DET
aiti-13516	37	22	initial	initial	ADJ
aiti-13516	37	23	step	step	NOUN
aiti-13516	38	1	[	[	X
aiti-13516	38	2	7	7	NUM
aiti-13516	38	3	-	-	SYM
aiti-13516	38	4	8	8	NUM
aiti-13516	38	5	]	]	PUNCT
aiti-13516	38	6	.	.	PUNCT
aiti-13516	39	1	technically	technically	ADV
aiti-13516	39	2	,	,	PUNCT
aiti-13516	39	3	the	the	DET
aiti-13516	39	4	intregro	intregro	NOUN
aiti-13516	39	5	-	-	PUNCT
aiti-13516	39	6	differential	differential	NOUN
aiti-13516	39	7	operator	operator	NOUN
aiti-13516	39	8	and	and	CCONJ
aiti-13516	39	9	the	the	DET
aiti-13516	39	10	hough	hough	PROPN
aiti-13516	39	11	transform	transform	NOUN
aiti-13516	39	12	serve	serve	VERB
aiti-13516	39	13	as	as	ADP
aiti-13516	39	14	the	the	DET
aiti-13516	39	15	foundation	foundation	NOUN
aiti-13516	39	16	for	for	ADP
aiti-13516	39	17	conventional	conventional	ADJ
aiti-13516	39	18	iris	iris	NOUN
aiti-13516	39	19	segmentation	segmentation	NOUN
aiti-13516	39	20	techniques	technique	NOUN
aiti-13516	39	21	.	.	PUNCT
aiti-13516	40	1	several	several	ADJ
aiti-13516	40	2	algorithms	algorithm	NOUN
aiti-13516	40	3	employ	employ	VERB
aiti-13516	40	4	variations	variation	NOUN
aiti-13516	40	5	to	to	PART
aiti-13516	40	6	determine	determine	VERB
aiti-13516	40	7	the	the	DET
aiti-13516	40	8	iris	iris	NOUN
aiti-13516	40	9	borders	border	NOUN
aiti-13516	40	10	of	of	ADP
aiti-13516	40	11	the	the	DET
aiti-13516	40	12	hough	hough	PROPN
aiti-13516	40	13	transform	transform	VERB
aiti-13516	40	14	and	and	CCONJ
aiti-13516	40	15	the	the	DET
aiti-13516	40	16	integro	integro	ADJ
aiti-13516	40	17	-	-	PUNCT
aiti-13516	40	18	differential	differential	NOUN
aiti-13516	40	19	operator	operator	NOUN
aiti-13516	40	20	.	.	PUNCT
aiti-13516	41	1	when	when	SCONJ
aiti-13516	41	2	iris	iris	NOUN
aiti-13516	41	3	images	image	NOUN
aiti-13516	41	4	are	be	AUX
aiti-13516	41	5	captured	capture	VERB
aiti-13516	41	6	in	in	ADP
aiti-13516	41	7	proper	proper	ADJ
aiti-13516	41	8	circumstances	circumstance	NOUN
aiti-13516	41	9	,	,	PUNCT
aiti-13516	41	10	these	these	DET
aiti-13516	41	11	algorithms	algorithm	NOUN
aiti-13516	41	12	can	can	AUX
aiti-13516	41	13	accomplish	accomplish	VERB
aiti-13516	41	14	adequate	adequate	ADJ
aiti-13516	41	15	localization	localization	NOUN
aiti-13516	41	16	precision	precision	NOUN
aiti-13516	41	17	.	.	PUNCT
aiti-13516	42	1	the	the	DET
aiti-13516	42	2	integro	integro	ADJ
aiti-13516	42	3	-	-	PUNCT
aiti-13516	42	4	differential	differential	NOUN
aiti-13516	42	5	operator	operator	NOUN
aiti-13516	42	6	,	,	PUNCT
aiti-13516	42	7	which	which	PRON
aiti-13516	42	8	is	be	AUX
aiti-13516	42	9	frequently	frequently	ADV
aiti-13516	42	10	employed	employ	VERB
aiti-13516	42	11	during	during	ADP
aiti-13516	42	12	preprocessing	preprocessing	NOUN
aiti-13516	42	13	,	,	PUNCT
aiti-13516	42	14	highlights	highlight	NOUN
aiti-13516	42	15	pixel	pixel	PROPN
aiti-13516	42	16	intensity	intensity	NOUN
aiti-13516	42	17	variations	variation	NOUN
aiti-13516	42	18	to	to	PART
aiti-13516	42	19	improve	improve	VERB
aiti-13516	42	20	the	the	DET
aiti-13516	42	21	edges	edge	NOUN
aiti-13516	42	22	of	of	ADP
aiti-13516	42	23	the	the	DET
aiti-13516	42	24	iris	iris	NOUN
aiti-13516	42	25	.	.	PUNCT
aiti-13516	43	1	by	by	ADP
aiti-13516	43	2	identifying	identify	VERB
aiti-13516	43	3	the	the	DET
aiti-13516	43	4	borders	border	NOUN
aiti-13516	43	5	,	,	PUNCT
aiti-13516	43	6	the	the	DET
aiti-13516	43	7	operator	operator	NOUN
aiti-13516	43	8	assists	assist	VERB
aiti-13516	43	9	in	in	ADP
aiti-13516	43	10	distinguishing	distinguish	VERB
aiti-13516	43	11	the	the	DET
aiti-13516	43	12	iris	iris	NOUN
aiti-13516	43	13	from	from	ADP
aiti-13516	43	14	adjacent	adjacent	ADJ
aiti-13516	43	15	components	component	NOUN
aiti-13516	43	16	,	,	PUNCT
aiti-13516	43	17	such	such	ADJ
aiti-13516	43	18	as	as	ADP
aiti-13516	43	19	the	the	DET
aiti-13516	43	20	sclera	sclera	NOUN
aiti-13516	43	21	and	and	CCONJ
aiti-13516	43	22	eyelids	eyelid	NOUN
aiti-13516	43	23	.	.	PUNCT
aiti-13516	44	1	after	after	SCONJ
aiti-13516	44	2	the	the	DET
aiti-13516	44	3	edges	edge	NOUN
aiti-13516	44	4	are	be	AUX
aiti-13516	44	5	sharpened	sharpen	VERB
aiti-13516	44	6	,	,	PUNCT
aiti-13516	44	7	the	the	DET
aiti-13516	44	8	hough	hough	PROPN
aiti-13516	44	9	transform	transform	NOUN
aiti-13516	44	10	is	be	AUX
aiti-13516	44	11	used	use	VERB
aiti-13516	44	12	to	to	PART
aiti-13516	44	13	locate	locate	VERB
aiti-13516	44	14	elliptical	elliptical	ADJ
aiti-13516	44	15	or	or	CCONJ
aiti-13516	44	16	circular	circular	ADJ
aiti-13516	44	17	shapes	shape	NOUN
aiti-13516	44	18	lining	line	VERB
aiti-13516	44	19	up	up	ADP
aiti-13516	44	20	with	with	ADP
aiti-13516	44	21	the	the	DET
aiti-13516	44	22	edge	edge	NOUN
aiti-13516	44	23	of	of	ADP
aiti-13516	44	24	the	the	DET
aiti-13516	44	25	iris	iris	NOUN
aiti-13516	44	26	.	.	PUNCT
aiti-13516	45	1	hough	hough	PROPN
aiti-13516	45	2	transform	transform	NOUN
aiti-13516	45	3	is	be	AUX
aiti-13516	45	4	exceptionally	exceptionally	ADV
aiti-13516	45	5	effective	effective	ADJ
aiti-13516	45	6	at	at	ADP
aiti-13516	45	7	identifying	identify	VERB
aiti-13516	45	8	parametric	parametric	ADJ
aiti-13516	45	9	shapes	shape	NOUN
aiti-13516	45	10	,	,	PUNCT
aiti-13516	45	11	whose	whose	DET
aiti-13516	45	12	performance	performance	NOUN
aiti-13516	45	13	is	be	AUX
aiti-13516	45	14	evidenced	evidence	VERB
aiti-13516	45	15	when	when	SCONJ
aiti-13516	45	16	identifying	identify	VERB
aiti-13516	45	17	the	the	DET
aiti-13516	45	18	elliptical	elliptical	ADJ
aiti-13516	45	19	or	or	CCONJ
aiti-13516	45	20	circular	circular	ADJ
aiti-13516	45	21	iris	iris	NOUN
aiti-13516	45	22	boundary	boundary	NOUN
aiti-13516	45	23	regardless	regardless	ADV
aiti-13516	45	24	of	of	ADP
aiti-13516	45	25	noise	noise	NOUN
aiti-13516	45	26	or	or	CCONJ
aiti-13516	45	27	occlusion	occlusion	NOUN
aiti-13516	45	28	.	.	PUNCT
aiti-13516	46	1	in	in	ADP
aiti-13516	46	2	contrast	contrast	NOUN
aiti-13516	46	3	,	,	PUNCT
aiti-13516	46	4	however	however	ADV
aiti-13516	46	5	,	,	PUNCT
aiti-13516	46	6	if	if	SCONJ
aiti-13516	46	7	not	not	PART
aiti-13516	46	8	fulfilling	fulfil	VERB
aiti-13516	46	9	ideal	ideal	ADJ
aiti-13516	46	10	conditions	condition	NOUN
aiti-13516	46	11	,	,	PUNCT
aiti-13516	46	12	noise	noise	NOUN
aiti-13516	46	13	will	will	AUX
aiti-13516	46	14	profusely	profusely	ADV
aiti-13516	46	15	be	be	AUX
aiti-13516	46	16	generated	generate	VERB
aiti-13516	46	17	to	to	PART
aiti-13516	46	18	interfere	interfere	VERB
aiti-13516	46	19	with	with	ADP
aiti-13516	46	20	the	the	DET
aiti-13516	46	21	results	result	NOUN
aiti-13516	46	22	of	of	ADP
aiti-13516	46	23	iris	iris	NOUN
aiti-13516	46	24	images	image	NOUN
aiti-13516	46	25	,	,	PUNCT
aiti-13516	46	26	incurring	incur	VERB
aiti-13516	46	27	a	a	DET
aiti-13516	46	28	critical	critical	ADJ
aiti-13516	46	29	loss	loss	NOUN
aiti-13516	46	30	of	of	ADP
aiti-13516	46	31	accuracy	accuracy	NOUN
aiti-13516	46	32	concerning	concern	VERB
aiti-13516	46	33	algorithm	algorithm	NOUN
aiti-13516	46	34	segmentation	segmentation	NOUN
aiti-13516	47	1	[	[	X
aiti-13516	47	2	2	2	NUM
aiti-13516	47	3	]	]	PUNCT
aiti-13516	47	4	.	.	PUNCT
aiti-13516	48	1	iris	iris	NOUN
aiti-13516	48	2	segmentation	segmentation	NOUN
aiti-13516	48	3	utilizing	utilize	VERB
aiti-13516	48	4	the	the	DET
aiti-13516	48	5	hough	hough	PROPN
aiti-13516	48	6	transform	transform	VERB
aiti-13516	48	7	and	and	CCONJ
aiti-13516	48	8	daugman	daugman	PROPN
aiti-13516	48	9	’s	’s	PART
aiti-13516	48	10	algorithm	algorithm	NOUN
aiti-13516	48	11	was	be	AUX
aiti-13516	48	12	introduced	introduce	VERB
aiti-13516	48	13	by	by	ADP
aiti-13516	48	14	rafik	rafik	NOUN
aiti-13516	48	15	and	and	CCONJ
aiti-13516	48	16	boubaker	boubaker	NOUN
aiti-13516	49	1	[	[	X
aiti-13516	49	2	9	9	NUM
aiti-13516	49	3	]	]	PUNCT
aiti-13516	49	4	.	.	PUNCT
aiti-13516	50	1	the	the	DET
aiti-13516	50	2	authors	author	NOUN
aiti-13516	50	3	of	of	ADP
aiti-13516	50	4	this	this	DET
aiti-13516	50	5	study	study	NOUN
aiti-13516	50	6	suggested	suggest	VERB
aiti-13516	50	7	calculating	calculate	VERB
aiti-13516	50	8	the	the	DET
aiti-13516	50	9	iris	iris	NOUN
aiti-13516	50	10	and	and	CCONJ
aiti-13516	50	11	pupil	pupil	NOUN
aiti-13516	50	12	radii	radius	NOUN
aiti-13516	50	13	sizes	size	NOUN
aiti-13516	50	14	.	.	PUNCT
aiti-13516	51	1	therefore	therefore	ADV
aiti-13516	51	2	,	,	PUNCT
aiti-13516	51	3	it	it	PRON
aiti-13516	51	4	is	be	AUX
aiti-13516	51	5	possible	possible	ADJ
aiti-13516	51	6	to	to	PART
aiti-13516	51	7	trim	trim	VERB
aiti-13516	51	8	the	the	DET
aiti-13516	51	9	radius	radius	NOUN
aiti-13516	51	10	of	of	ADP
aiti-13516	51	11	the	the	DET
aiti-13516	51	12	pupil	pupil	NOUN
aiti-13516	51	13	(	(	PUNCT
aiti-13516	51	14	r1	r1	PROPN
aiti-13516	51	15	)	)	PUNCT
aiti-13516	51	16	and	and	CCONJ
aiti-13516	51	17	the	the	DET
aiti-13516	51	18	radius	radius	NOUN
aiti-13516	51	19	of	of	ADP
aiti-13516	51	20	the	the	DET
aiti-13516	51	21	iris	iris	NOUN
aiti-13516	51	22	(	(	PUNCT
aiti-13516	51	23	r2	r2	PROPN
aiti-13516	51	24	)	)	PUNCT
aiti-13516	51	25	for	for	ADP
aiti-13516	51	26	accurate	accurate	ADJ
aiti-13516	51	27	segmentation	segmentation	NOUN
aiti-13516	51	28	.	.	PUNCT
aiti-13516	52	1	daugman	daugman	PROPN
aiti-13516	52	2	’s	’s	PART
aiti-13516	52	3	algorithm	algorithm	NOUN
aiti-13516	52	4	presupposes	presuppose	VERB
aiti-13516	52	5	the	the	DET
aiti-13516	52	6	unique	unique	ADJ
aiti-13516	52	7	and	and	CCONJ
aiti-13516	52	8	highquality	highquality	NOUN
aiti-13516	52	9	patterns	pattern	NOUN
aiti-13516	52	10	that	that	PRON
aiti-13516	52	11	lie	lie	VERB
aiti-13516	52	12	in	in	ADP
aiti-13516	52	13	the	the	DET
aiti-13516	52	14	iris	iris	NOUN
aiti-13516	52	15	images	image	NOUN
aiti-13516	52	16	.	.	PUNCT
aiti-13516	53	1	nevertheless	nevertheless	ADV
aiti-13516	53	2	,	,	PUNCT
aiti-13516	53	3	ambient	ambient	ADJ
aiti-13516	53	4	brightness	brightness	NOUN
aiti-13516	53	5	,	,	PUNCT
aiti-13516	53	6	motion	motion	NOUN
aiti-13516	53	7	blur	blur	NOUN
aiti-13516	53	8	,	,	PUNCT
aiti-13516	53	9	and	and	CCONJ
aiti-13516	53	10	occlusions	occlusion	NOUN
aiti-13516	53	11	(	(	PUNCT
aiti-13516	53	12	e.g.	e.g.	ADV
aiti-13516	53	13	,	,	PUNCT
aiti-13516	53	14	eyelids	eyelid	NOUN
aiti-13516	53	15	or	or	CCONJ
aiti-13516	53	16	lashes	lash	NOUN
aiti-13516	53	17	)	)	PUNCT
aiti-13516	53	18	can	can	AUX
aiti-13516	53	19	deteriorate	deteriorate	VERB
aiti-13516	53	20	image	image	NOUN
aiti-13516	53	21	quality	quality	NOUN
aiti-13516	53	22	and	and	CCONJ
aiti-13516	53	23	cause	cause	VERB
aiti-13516	53	24	errors	error	NOUN
aiti-13516	53	25	in	in	ADP
aiti-13516	53	26	ir	ir	PROPN
aiti-13516	53	27	.	.	PUNCT
aiti-13516	53	28	additionally	additionally	ADV
aiti-13516	53	29	,	,	PUNCT
aiti-13516	53	30	rapaka	rapaka	PROPN
aiti-13516	53	31	et	et	PROPN
aiti-13516	53	32	al	al	PROPN
aiti-13516	53	33	.	.	PUNCT
aiti-13516	54	1	[	[	X
aiti-13516	54	2	10	10	NUM
aiti-13516	54	3	]	]	PUNCT
aiti-13516	54	4	introduced	introduce	VERB
aiti-13516	54	5	a	a	DET
aiti-13516	54	6	segmentation	segmentation	NOUN
aiti-13516	54	7	method	method	NOUN
aiti-13516	54	8	for	for	ADP
aiti-13516	54	9	non	non	ADJ
aiti-13516	54	10	-	-	ADJ
aiti-13516	54	11	ideal	ideal	ADJ
aiti-13516	54	12	iris	iris	NOUN
aiti-13516	54	13	images	image	NOUN
aiti-13516	54	14	using	use	VERB
aiti-13516	54	15	morphology	morphology	NOUN
aiti-13516	54	16	with	with	ADP
aiti-13516	54	17	fuzzy	fuzzy	ADJ
aiti-13516	54	18	c	c	NOUN
aiti-13516	54	19	-	-	PUNCT
aiti-13516	54	20	means	means	NOUN
aiti-13516	54	21	(	(	PUNCT
aiti-13516	54	22	fcm	fcm	X
aiti-13516	54	23	)	)	PUNCT
aiti-13516	54	24	and	and	CCONJ
aiti-13516	54	25	dynamic	dynamic	ADJ
aiti-13516	54	26	spectrum	spectrum	NOUN
aiti-13516	54	27	access	access	NOUN
aiti-13516	54	28	(	(	PUNCT
aiti-13516	54	29	dsa	dsa	NOUN
aiti-13516	54	30	)	)	PUNCT
aiti-13516	54	31	.	.	PUNCT
aiti-13516	55	1	however	however	ADV
aiti-13516	55	2	,	,	PUNCT
aiti-13516	55	3	similarly	similarly	ADV
aiti-13516	55	4	,	,	PUNCT
aiti-13516	55	5	environmental	environmental	ADJ
aiti-13516	55	6	factors	factor	NOUN
aiti-13516	55	7	such	such	ADJ
aiti-13516	55	8	as	as	ADP
aiti-13516	55	9	illumination	illumination	NOUN
aiti-13516	55	10	,	,	PUNCT
aiti-13516	55	11	occlusions	occlusion	NOUN
aiti-13516	55	12	,	,	PUNCT
aiti-13516	55	13	image	image	NOUN
aiti-13516	55	14	quality	quality	NOUN
aiti-13516	55	15	,	,	PUNCT
aiti-13516	55	16	etc	etc	X
aiti-13516	55	17	.	.	X
aiti-13516	55	18	,	,	PUNCT
aiti-13516	55	19	might	might	AUX
aiti-13516	55	20	further	far	ADV
aiti-13516	55	21	impact	impact	VERB
aiti-13516	55	22	the	the	DET
aiti-13516	55	23	accuracy	accuracy	NOUN
aiti-13516	55	24	of	of	ADP
aiti-13516	55	25	non	non	ADJ
aiti-13516	55	26	-	-	ADJ
aiti-13516	55	27	ideal	ideal	ADJ
aiti-13516	55	28	iris	iris	NOUN
aiti-13516	55	29	images	image	NOUN
aiti-13516	55	30	.	.	PUNCT
aiti-13516	56	1	thus	thus	ADV
aiti-13516	56	2	,	,	PUNCT
aiti-13516	56	3	in	in	ADP
aiti-13516	56	4	summary	summary	NOUN
aiti-13516	56	5	,	,	PUNCT
aiti-13516	56	6	efficacy	efficacy	NOUN
aiti-13516	56	7	in	in	ADP
aiti-13516	56	8	practical	practical	ADJ
aiti-13516	56	9	situations	situation	NOUN
aiti-13516	56	10	requires	require	VERB
aiti-13516	56	11	the	the	DET
aiti-13516	56	12	operator	operator	NOUN
aiti-13516	56	13	to	to	PART
aiti-13516	56	14	choose	choose	VERB
aiti-13516	56	15	the	the	DET
aiti-13516	56	16	approach	approach	NOUN
aiti-13516	56	17	properly	properly	ADV
aiti-13516	56	18	according	accord	VERB
aiti-13516	56	19	to	to	ADP
aiti-13516	56	20	the	the	DET
aiti-13516	56	21	surrounding	surround	VERB
aiti-13516	56	22	conditions	condition	NOUN
aiti-13516	56	23	.	.	PUNCT
aiti-13516	57	1	in	in	ADP
aiti-13516	57	2	ir	ir	PROPN
aiti-13516	57	3	systems	system	NOUN
aiti-13516	57	4	,	,	PUNCT
aiti-13516	57	5	deep	deep	ADJ
aiti-13516	57	6	learning	learning	NOUN
aiti-13516	57	7	,	,	PUNCT
aiti-13516	57	8	embodied	embody	VERB
aiti-13516	57	9	by	by	ADP
aiti-13516	57	10	the	the	DET
aiti-13516	57	11	convolutional	convolutional	ADJ
aiti-13516	57	12	neural	neural	ADJ
aiti-13516	57	13	network	network	NOUN
aiti-13516	57	14	(	(	PUNCT
aiti-13516	57	15	cnn	cnn	PROPN
aiti-13516	57	16	)	)	PUNCT
aiti-13516	57	17	,	,	PUNCT
aiti-13516	57	18	has	have	AUX
aiti-13516	57	19	dominated	dominate	VERB
aiti-13516	57	20	computer	computer	NOUN
aiti-13516	57	21	vision	vision	NOUN
aiti-13516	57	22	research	research	NOUN
aiti-13516	57	23	and	and	CCONJ
aiti-13516	57	24	has	have	AUX
aiti-13516	57	25	been	be	AUX
aiti-13516	57	26	envisaged	envisage	VERB
aiti-13516	57	27	to	to	PART
aiti-13516	57	28	render	render	VERB
aiti-13516	57	29	remarkable	remarkable	ADJ
aiti-13516	57	30	effectiveness	effectiveness	NOUN
aiti-13516	57	31	.	.	PUNCT
aiti-13516	58	1	functionally	functionally	ADV
aiti-13516	58	2	,	,	PUNCT
aiti-13516	58	3	deep	deep	ADJ
aiti-13516	58	4	learning	learning	NOUN
aiti-13516	58	5	can	can	AUX
aiti-13516	58	6	automatically	automatically	ADV
aiti-13516	58	7	extract	extract	VERB
aiti-13516	58	8	useful	useful	ADJ
aiti-13516	58	9	and	and	CCONJ
aiti-13516	58	10	feature	feature	VERB
aiti-13516	58	11	representations	representation	NOUN
aiti-13516	58	12	from	from	ADP
aiti-13516	58	13	the	the	DET
aiti-13516	58	14	image	image	NOUN
aiti-13516	58	15	data	datum	NOUN
aiti-13516	58	16	,	,	PUNCT
aiti-13516	58	17	facilitating	facilitate	VERB
aiti-13516	58	18	the	the	DET
aiti-13516	58	19	optimization	optimization	NOUN
aiti-13516	58	20	concerning	concern	VERB
aiti-13516	58	21	the	the	DET
aiti-13516	58	22	performance	performance	NOUN
aiti-13516	58	23	of	of	ADP
aiti-13516	58	24	ir	ir	PROPN
aiti-13516	58	25	techniques	technique	NOUN
aiti-13516	58	26	[	[	X
aiti-13516	58	27	3	3	NUM
aiti-13516	58	28	,	,	PUNCT
aiti-13516	58	29	11	11	NUM
aiti-13516	58	30	]	]	PUNCT
aiti-13516	58	31	.	.	PUNCT
aiti-13516	59	1	hence	hence	ADV
aiti-13516	59	2	,	,	PUNCT
aiti-13516	59	3	ir	ir	PROPN
aiti-13516	59	4	techniques	technique	NOUN
aiti-13516	59	5	based	base	VERB
aiti-13516	59	6	on	on	ADP
aiti-13516	59	7	deep	deep	ADJ
aiti-13516	59	8	learning	learning	NOUN
aiti-13516	59	9	are	be	AUX
aiti-13516	59	10	being	be	AUX
aiti-13516	59	11	presented	present	VERB
aiti-13516	59	12	in	in	ADP
aiti-13516	59	13	the	the	DET
aiti-13516	59	14	interim	interim	NOUN
aiti-13516	59	15	.	.	PUNCT
aiti-13516	60	1	currently	currently	ADV
aiti-13516	60	2	,	,	PUNCT
aiti-13516	60	3	manifold	manifold	ADJ
aiti-13516	60	4	deep	deep	ADJ
aiti-13516	60	5	cnn	cnn	PROPN
aiti-13516	60	6	models	model	NOUN
aiti-13516	60	7	emerge	emerge	VERB
aiti-13516	60	8	in	in	ADP
aiti-13516	60	9	the	the	DET
aiti-13516	60	10	existing	exist	VERB
aiti-13516	60	11	literature	literature	NOUN
aiti-13516	60	12	,	,	PUNCT
aiti-13516	60	13	e.g.	e.g.	ADV
aiti-13516	60	14	,	,	PUNCT
aiti-13516	60	15	googlenet	googlenet	NOUN
aiti-13516	60	16	,	,	PUNCT
aiti-13516	60	17	alexnet	alexnet	NOUN
aiti-13516	60	18	,	,	PUNCT
aiti-13516	60	19	residual	residual	ADJ
aiti-13516	60	20	neural	neural	ADJ
aiti-13516	60	21	network	network	NOUN
aiti-13516	60	22	(	(	PUNCT
aiti-13516	60	23	resnet	resnet	NOUN
aiti-13516	60	24	)	)	PUNCT
aiti-13516	60	25	,	,	PUNCT
aiti-13516	60	26	and	and	CCONJ
aiti-13516	60	27	visual	visual	ADJ
aiti-13516	60	28	geometry	geometry	NOUN
aiti-13516	60	29	groups	group	NOUN
aiti-13516	60	30	[	[	X
aiti-13516	60	31	9	9	NUM
aiti-13516	60	32	]	]	PUNCT
aiti-13516	60	33	.	.	PUNCT
aiti-13516	61	1	table	table	NOUN
aiti-13516	61	2	1	1	NUM
aiti-13516	61	3	summarizes	summarize	NOUN
aiti-13516	61	4	the	the	DET
aiti-13516	61	5	ir	ir	PROPN
aiti-13516	61	6	works	work	NOUN
aiti-13516	61	7	based	base	VERB
aiti-13516	61	8	on	on	ADP
aiti-13516	61	9	deep	deep	ADJ
aiti-13516	61	10	learning	learning	NOUN
aiti-13516	61	11	.	.	PUNCT
aiti-13516	62	1	table	table	NOUN
aiti-13516	62	2	1	1	NUM
aiti-13516	62	3	related	relate	VERB
aiti-13516	62	4	works	work	NOUN
aiti-13516	62	5	based	base	VERB
aiti-13516	62	6	on	on	ADP
aiti-13516	62	7	deep	deep	ADJ
aiti-13516	62	8	learning	learning	NOUN
aiti-13516	62	9	author	author	NOUN
aiti-13516	62	10	method	method	NOUN
aiti-13516	62	11	database	database	NOUN
aiti-13516	62	12	accuracy	accuracy	NOUN
aiti-13516	62	13	omran	omran	NOUN
aiti-13516	62	14	and	and	CCONJ
aiti-13516	62	15	alshemmary	alshemmary	ADJ
aiti-13516	62	16	[	[	X
aiti-13516	62	17	12	12	NUM
aiti-13516	62	18	]	]	X
aiti-13516	62	19	irisnet	irisnet	NOUN
aiti-13516	62	20	for	for	ADP
aiti-13516	62	21	extracting	extract	VERB
aiti-13516	62	22	the	the	DET
aiti-13516	62	23	attributes	attribute	NOUN
aiti-13516	62	24	iit	iit	PROPN
aiti-13516	62	25	delhi	delhi	PROPN
aiti-13516	62	26	*	*	PUNCT
aiti-13516	62	27	v1	v1	NOUN
aiti-13516	62	28	original	original	ADJ
aiti-13516	62	29	=	=	NOUN
aiti-13516	62	30	97.32	97.32	NUM
aiti-13516	62	31	%	%	NOUN
aiti-13516	62	32	and	and	CCONJ
aiti-13516	62	33	normalized	normalize	VERB
aiti-13516	62	34	images	image	NOUN
aiti-13516	62	35	=	=	SYM
aiti-13516	62	36	96.43	96.43	NUM
aiti-13516	62	37	%	%	NOUN
aiti-13516	62	38	alaslani	alaslani	NOUN
aiti-13516	62	39	and	and	CCONJ
aiti-13516	62	40	elrefaei	elrefaei	NOUN
aiti-13516	62	41	[	[	X
aiti-13516	62	42	13	13	NUM
aiti-13516	62	43	]	]	PUNCT
aiti-13516	62	44	alexnet	alexnet	ADJ
aiti-13516	62	45	model	model	NOUN
aiti-13516	62	46	with	with	ADP
aiti-13516	62	47	support	support	NOUN
aiti-13516	62	48	vector	vector	NOUN
aiti-13516	62	49	machine	machine	NOUN
aiti-13516	62	50	iit	iit	PROPN
aiti-13516	62	51	delhi	delhi	PROPN
aiti-13516	62	52	,	,	PUNCT
aiti-13516	62	53	casia	casia	VERB
aiti-13516	62	54	1.0	1.0	NUM
aiti-13516	62	55	casia	casia	NOUN
aiti-13516	62	56	-	-	PUNCT
aiti-13516	62	57	v1	v1	NOUN
aiti-13516	62	58	,	,	PUNCT
aiti-13516	62	59	casia	casia	NOUN
aiti-13516	62	60	-	-	PUNCT
aiti-13516	62	61	iris	iris	NOUN
aiti-13516	62	62	-	-	PUNCT
aiti-13516	62	63	v3	v3	PROPN
aiti-13516	62	64	100	100	NUM
aiti-13516	62	65	%	%	NOUN
aiti-13516	62	66	,	,	PUNCT
aiti-13516	62	67	98.3	98.3	NUM
aiti-13516	62	68	%	%	NOUN
aiti-13516	62	69	,	,	PUNCT
aiti-13516	62	70	98	98	NUM
aiti-13516	62	71	%	%	NOUN
aiti-13516	62	72	,	,	PUNCT
aiti-13516	62	73	89	89	NUM
aiti-13516	62	74	%	%	NOUN
aiti-13516	62	75	advances	advance	NOUN
aiti-13516	62	76	in	in	ADP
aiti-13516	62	77	technology	technology	NOUN
aiti-13516	62	78	innovation	innovation	NOUN
aiti-13516	62	79	,	,	PUNCT
aiti-13516	62	80	vol	vol	NOUN
aiti-13516	62	81	.	.	PROPN
aiti-13516	63	1	9	9	NUM
aiti-13516	63	2	,	,	PUNCT
aiti-13516	63	3	no	no	INTJ
aiti-13516	63	4	.	.	NOUN
aiti-13516	63	5	3	3	NUM
aiti-13516	63	6	,	,	PUNCT
aiti-13516	63	7	2024	2024	NUM
aiti-13516	63	8	,	,	PUNCT
aiti-13516	63	9	pp	pp	ADV
aiti-13516	63	10	.	.	PUNCT
aiti-13516	64	1	197	197	NUM
aiti-13516	64	2	-	-	SYM
aiti-13516	64	3	209	209	NUM
aiti-13516	64	4	199	199	NUM
aiti-13516	64	5	table	table	NOUN
aiti-13516	64	6	1	1	NUM
aiti-13516	64	7	related	relate	VERB
aiti-13516	64	8	works	work	NOUN
aiti-13516	64	9	based	base	VERB
aiti-13516	64	10	on	on	ADP
aiti-13516	64	11	deep	deep	ADJ
aiti-13516	64	12	learning	learning	NOUN
aiti-13516	64	13	(	(	PUNCT
aiti-13516	64	14	continued	continued	ADJ
aiti-13516	64	15	)	)	PUNCT
aiti-13516	64	16	author	author	NOUN
aiti-13516	64	17	method	method	NOUN
aiti-13516	64	18	database	database	NOUN
aiti-13516	64	19	accuracy	accuracy	NOUN
aiti-13516	64	20	minaee	minaee	PROPN
aiti-13516	64	21	and	and	CCONJ
aiti-13516	64	22	abdolrashidi	abdolrashidi	NOUN
aiti-13516	64	23	[	[	X
aiti-13516	64	24	14	14	NUM
aiti-13516	64	25	]	]	X
aiti-13516	64	26	residual	residual	ADJ
aiti-13516	64	27	cnn	cnn	PROPN
aiti-13516	64	28	iit	iit	PROPN
aiti-13516	64	29	delhi	delhi	PROPN
aiti-13516	64	30	95.5	95.5	NUM
aiti-13516	64	31	%	%	NOUN
aiti-13516	64	32	wang	wang	PROPN
aiti-13516	64	33	et	et	PROPN
aiti-13516	64	34	al	al	PROPN
aiti-13516	64	35	.	.	PUNCT
aiti-13516	65	1	[	[	X
aiti-13516	65	2	15	15	NUM
aiti-13516	65	3	]	]	X
aiti-13516	65	4	(	(	PUNCT
aiti-13516	65	5	micore	micore	ADV
aiti-13516	65	6	-	-	PUNCT
aiti-13516	65	7	net	net	ADJ
aiti-13516	65	8	)	)	PUNCT
aiti-13516	65	9	casiav4	casiav4	NOUN
aiti-13516	65	10	and	and	CCONJ
aiti-13516	65	11	the	the	DET
aiti-13516	65	12	ubiris.v2	ubiris.v2	PROPN
aiti-13516	65	13	99.08	99.08	NUM
aiti-13516	65	14	%	%	NOUN
aiti-13516	65	15	and	and	CCONJ
aiti-13516	65	16	96.12	96.12	NUM
aiti-13516	65	17	%	%	NOUN
aiti-13516	65	18	azam	azam	PROPN
aiti-13516	65	19	and	and	CCONJ
aiti-13516	65	20	rana	rana	PROPN
aiti-13516	65	21	[	[	X
aiti-13516	65	22	16	16	NUM
aiti-13516	65	23	]	]	X
aiti-13516	65	24	cnn	cnn	PROPN
aiti-13516	65	25	and	and	CCONJ
aiti-13516	65	26	svm	svm	VERB
aiti-13516	65	27	casia	casia	NOUN
aiti-13516	65	28	96.3	96.3	NUM
aiti-13516	65	29	%	%	NOUN
aiti-13516	65	30	hsiao	hsiao	PROPN
aiti-13516	65	31	et	et	PROPN
aiti-13516	65	32	al	al	PROPN
aiti-13516	65	33	.	.	PUNCT
aiti-13516	66	1	[	[	X
aiti-13516	66	2	7	7	NUM
aiti-13516	66	3	]	]	X
aiti-13516	66	4	u	u	NOUN
aiti-13516	66	5	-	-	NOUN
aiti-13516	66	6	net	net	ADJ
aiti-13516	66	7	and	and	CCONJ
aiti-13516	66	8	efficient	efficient	ADJ
aiti-13516	66	9	net	net	ADJ
aiti-13516	66	10	casia	casia	NOUN
aiti-13516	66	11	v1	v1	NOUN
aiti-13516	66	12	up	up	ADP
aiti-13516	66	13	to	to	PART
aiti-13516	66	14	98	98	NUM
aiti-13516	66	15	%	%	NOUN
aiti-13516	66	16	.	.	PUNCT
aiti-13516	67	1	alwawi	alwawi	ADJ
aiti-13516	67	2	and	and	CCONJ
aiti-13516	67	3	althabhawee	althabhawee	ADJ
aiti-13516	67	4	[	[	X
aiti-13516	67	5	11	11	NUM
aiti-13516	67	6	]	]	PUNCT
aiti-13516	67	7	cnn	cnn	PROPN
aiti-13516	67	8	private	private	ADJ
aiti-13516	67	9	training	training	NOUN
aiti-13516	67	10	95.33	95.33	NUM
aiti-13516	67	11	%	%	NOUN
aiti-13516	67	12	,	,	PUNCT
aiti-13516	67	13	testing	test	VERB
aiti-13516	67	14	100	100	NUM
aiti-13516	67	15	%	%	NOUN
aiti-13516	67	16	balasubramanian	balasubramanian	PROPN
aiti-13516	67	17	et	et	PROPN
aiti-13516	67	18	al	al	PROPN
aiti-13516	67	19	.	.	PUNCT
aiti-13516	68	1	[	[	X
aiti-13516	68	2	3	3	X
aiti-13516	68	3	]	]	X
aiti-13516	68	4	cnn	cnn	PROPN
aiti-13516	68	5	multi	multi	PROPN
aiti-13516	68	6	dataset	dataset	VERB
aiti-13516	68	7	best	good	ADJ
aiti-13516	68	8	accuracy	accuracy	NOUN
aiti-13516	68	9	99.4	99.4	NUM
aiti-13516	68	10	%	%	NOUN
aiti-13516	68	11	*	*	NOUN
aiti-13516	68	12	:	:	PUNCT
aiti-13516	68	13	indian	indian	PROPN
aiti-13516	68	14	institute	institute	PROPN
aiti-13516	68	15	of	of	ADP
aiti-13516	68	16	technology	technology	PROPN
aiti-13516	68	17	delhi	delhi	PROPN
aiti-13516	68	18	(	(	PUNCT
aiti-13516	68	19	iit	iit	PROPN
aiti-13516	68	20	delhi	delhi	PROPN
aiti-13516	68	21	)	)	PUNCT
aiti-13516	68	22	as	as	SCONJ
aiti-13516	68	23	observed	observe	VERB
aiti-13516	68	24	from	from	ADP
aiti-13516	68	25	the	the	DET
aiti-13516	68	26	literature	literature	NOUN
aiti-13516	68	27	,	,	PUNCT
aiti-13516	68	28	segmentation	segmentation	NOUN
aiti-13516	68	29	becomes	become	VERB
aiti-13516	68	30	more	more	ADV
aiti-13516	68	31	challenging	challenging	ADJ
aiti-13516	68	32	when	when	SCONJ
aiti-13516	68	33	there	there	PRON
aiti-13516	68	34	is	be	VERB
aiti-13516	68	35	vibration	vibration	NOUN
aiti-13516	68	36	and	and	CCONJ
aiti-13516	68	37	occlusion	occlusion	NOUN
aiti-13516	68	38	from	from	ADP
aiti-13516	68	39	the	the	DET
aiti-13516	68	40	lashes	lash	NOUN
aiti-13516	68	41	in	in	ADP
aiti-13516	68	42	the	the	DET
aiti-13516	68	43	image	image	NOUN
aiti-13516	68	44	.	.	PUNCT
aiti-13516	69	1	therefore	therefore	ADV
aiti-13516	69	2	,	,	PUNCT
aiti-13516	69	3	this	this	DET
aiti-13516	69	4	study	study	NOUN
aiti-13516	69	5	introduces	introduce	VERB
aiti-13516	69	6	multifarious	multifarious	ADJ
aiti-13516	69	7	methods	method	NOUN
aiti-13516	69	8	to	to	PART
aiti-13516	69	9	segment	segment	VERB
aiti-13516	69	10	the	the	DET
aiti-13516	69	11	iris	iris	NOUN
aiti-13516	69	12	images	image	NOUN
aiti-13516	69	13	and	and	CCONJ
aiti-13516	69	14	find	find	VERB
aiti-13516	69	15	the	the	DET
aiti-13516	69	16	region	region	NOUN
aiti-13516	69	17	of	of	ADP
aiti-13516	69	18	interest	interest	NOUN
aiti-13516	69	19	(	(	PUNCT
aiti-13516	69	20	roi	roi	NOUN
aiti-13516	69	21	)	)	PUNCT
aiti-13516	69	22	of	of	ADP
aiti-13516	69	23	the	the	DET
aiti-13516	69	24	iris	iris	NOUN
aiti-13516	69	25	while	while	SCONJ
aiti-13516	69	26	accounting	account	VERB
aiti-13516	69	27	for	for	ADP
aiti-13516	69	28	the	the	DET
aiti-13516	69	29	unallocated	unallocated	ADJ
aiti-13516	69	30	feature	feature	NOUN
aiti-13516	69	31	in	in	ADP
aiti-13516	69	32	the	the	DET
aiti-13516	69	33	images	image	NOUN
aiti-13516	69	34	.	.	PUNCT
aiti-13516	70	1	this	this	DET
aiti-13516	70	2	study	study	NOUN
aiti-13516	70	3	contributes	contribute	VERB
aiti-13516	70	4	to	to	ADP
aiti-13516	70	5	the	the	DET
aiti-13516	70	6	technique	technique	NOUN
aiti-13516	70	7	for	for	ADP
aiti-13516	70	8	image	image	NOUN
aiti-13516	70	9	improvement	improvement	NOUN
aiti-13516	70	10	,	,	PUNCT
aiti-13516	70	11	which	which	PRON
aiti-13516	70	12	subsumes	subsume	VERB
aiti-13516	70	13	binarizing	binarize	VERB
aiti-13516	70	14	the	the	DET
aiti-13516	70	15	image	image	NOUN
aiti-13516	70	16	using	use	VERB
aiti-13516	70	17	the	the	DET
aiti-13516	70	18	maximum	maximum	PROPN
aiti-13516	70	19	entropy	entropy	NOUN
aiti-13516	70	20	,	,	PUNCT
aiti-13516	70	21	calculating	calculate	VERB
aiti-13516	70	22	the	the	DET
aiti-13516	70	23	image	image	NOUN
aiti-13516	70	24	histogram	histogram	NOUN
aiti-13516	70	25	entropy	entropy	PROPN
aiti-13516	70	26	function	function	PROPN
aiti-13516	70	27	,	,	PUNCT
aiti-13516	70	28	and	and	CCONJ
aiti-13516	70	29	using	use	VERB
aiti-13516	70	30	the	the	DET
aiti-13516	70	31	median	median	ADJ
aiti-13516	70	32	filter	filter	NOUN
aiti-13516	70	33	to	to	PART
aiti-13516	70	34	reduce	reduce	VERB
aiti-13516	70	35	noise	noise	NOUN
aiti-13516	70	36	.	.	PUNCT
aiti-13516	71	1	regarding	regard	VERB
aiti-13516	71	2	binarization	binarization	NOUN
aiti-13516	71	3	,	,	PUNCT
aiti-13516	71	4	this	this	DET
aiti-13516	71	5	study	study	NOUN
aiti-13516	71	6	used	use	VERB
aiti-13516	71	7	the	the	DET
aiti-13516	71	8	histogram	histogram	NOUN
aiti-13516	71	9	entropy	entropy	PROPN
aiti-13516	71	10	information	information	NOUN
aiti-13516	71	11	,	,	PUNCT
aiti-13516	71	12	which	which	PRON
aiti-13516	71	13	is	be	AUX
aiti-13516	71	14	the	the	DET
aiti-13516	71	15	method	method	NOUN
aiti-13516	71	16	extensively	extensively	ADV
aiti-13516	71	17	used	use	VERB
aiti-13516	71	18	for	for	ADP
aiti-13516	71	19	image	image	NOUN
aiti-13516	71	20	thresholding	thresholding	NOUN
aiti-13516	71	21	.	.	PUNCT
aiti-13516	72	1	compared	compare	VERB
aiti-13516	72	2	to	to	ADP
aiti-13516	72	3	other	other	ADJ
aiti-13516	72	4	methods	method	NOUN
aiti-13516	72	5	,	,	PUNCT
aiti-13516	72	6	the	the	DET
aiti-13516	72	7	generic	generic	ADJ
aiti-13516	72	8	nature	nature	NOUN
aiti-13516	72	9	of	of	ADP
aiti-13516	72	10	the	the	DET
aiti-13516	72	11	algorithm	algorithm	NOUN
aiti-13516	72	12	affects	affect	VERB
aiti-13516	72	13	the	the	DET
aiti-13516	72	14	feasibility	feasibility	NOUN
aiti-13516	72	15	of	of	ADP
aiti-13516	72	16	using	use	VERB
aiti-13516	72	17	a	a	DET
aiti-13516	72	18	global	global	ADJ
aiti-13516	72	19	and	and	CCONJ
aiti-13516	72	20	objective	objective	ADJ
aiti-13516	72	21	property	property	NOUN
aiti-13516	72	22	of	of	ADP
aiti-13516	72	23	the	the	DET
aiti-13516	72	24	histogram	histogram	NOUN
aiti-13516	72	25	.	.	PUNCT
aiti-13516	73	1	subsequently	subsequently	ADV
aiti-13516	73	2	,	,	PUNCT
aiti-13516	73	3	the	the	DET
aiti-13516	73	4	iris	iris	NOUN
aiti-13516	73	5	dilates	dilate	VERB
aiti-13516	73	6	mathematically	mathematically	ADV
aiti-13516	73	7	and	and	CCONJ
aiti-13516	73	8	separates	separate	VERB
aiti-13516	73	9	from	from	ADP
aiti-13516	73	10	the	the	DET
aiti-13516	73	11	desirable	desirable	ADJ
aiti-13516	73	12	area	area	NOUN
aiti-13516	73	13	of	of	ADP
aiti-13516	73	14	the	the	DET
aiti-13516	73	15	images	image	NOUN
aiti-13516	73	16	.	.	PUNCT
aiti-13516	74	1	as	as	ADP
aiti-13516	74	2	a	a	DET
aiti-13516	74	3	result	result	NOUN
aiti-13516	74	4	,	,	PUNCT
aiti-13516	74	5	the	the	DET
aiti-13516	74	6	roi	roi	NOUN
aiti-13516	74	7	can	can	AUX
aiti-13516	74	8	be	be	AUX
aiti-13516	74	9	recovered	recover	VERB
aiti-13516	74	10	as	as	SCONJ
aiti-13516	74	11	expected	expect	VERB
aiti-13516	74	12	.	.	PUNCT
aiti-13516	75	1	specifically	specifically	ADV
aiti-13516	75	2	,	,	PUNCT
aiti-13516	75	3	dilation	dilation	NOUN
aiti-13516	75	4	is	be	AUX
aiti-13516	75	5	used	use	VERB
aiti-13516	75	6	to	to	PART
aiti-13516	75	7	identify	identify	VERB
aiti-13516	75	8	the	the	DET
aiti-13516	75	9	area	area	NOUN
aiti-13516	75	10	within	within	ADP
aiti-13516	75	11	an	an	DET
aiti-13516	75	12	image	image	NOUN
aiti-13516	75	13	by	by	ADP
aiti-13516	75	14	progressively	progressively	ADV
aiti-13516	75	15	expanding	expand	VERB
aiti-13516	75	16	the	the	DET
aiti-13516	75	17	foreground	foreground	NOUN
aiti-13516	75	18	pixel	pixel	PROPN
aiti-13516	75	19	boundaries	boundary	NOUN
aiti-13516	75	20	.	.	PUNCT
aiti-13516	76	1	to	to	PART
aiti-13516	76	2	ensure	ensure	VERB
aiti-13516	76	3	the	the	DET
aiti-13516	76	4	generation	generation	NOUN
aiti-13516	76	5	of	of	ADP
aiti-13516	76	6	details	detail	NOUN
aiti-13516	76	7	,	,	PUNCT
aiti-13516	76	8	the	the	DET
aiti-13516	76	9	foreground	foreground	NOUN
aiti-13516	76	10	pixels	pixel	NOUN
aiti-13516	76	11	are	be	AUX
aiti-13516	76	12	enlarged	enlarge	VERB
aiti-13516	76	13	while	while	SCONJ
aiti-13516	76	14	the	the	DET
aiti-13516	76	15	holes	hole	NOUN
aiti-13516	76	16	within	within	ADP
aiti-13516	76	17	certain	certain	ADJ
aiti-13516	76	18	regions	region	NOUN
aiti-13516	76	19	decrease	decrease	NOUN
aiti-13516	76	20	.	.	PUNCT
aiti-13516	77	1	concerning	concern	VERB
aiti-13516	77	2	the	the	DET
aiti-13516	77	3	recognition	recognition	NOUN
aiti-13516	77	4	,	,	PUNCT
aiti-13516	77	5	cnn	cnn	PROPN
aiti-13516	77	6	is	be	AUX
aiti-13516	77	7	used	use	VERB
aiti-13516	77	8	.	.	PUNCT
aiti-13516	78	1	in	in	ADP
aiti-13516	78	2	multitudinous	multitudinous	ADJ
aiti-13516	78	3	computer	computer	NOUN
aiti-13516	78	4	vision	vision	NOUN
aiti-13516	78	5	applications	application	NOUN
aiti-13516	78	6	,	,	PUNCT
aiti-13516	78	7	such	such	ADJ
aiti-13516	78	8	as	as	ADP
aiti-13516	78	9	image	image	NOUN
aiti-13516	78	10	classification	classification	NOUN
aiti-13516	78	11	,	,	PUNCT
aiti-13516	78	12	object	object	VERB
aiti-13516	78	13	identification	identification	NOUN
aiti-13516	78	14	,	,	PUNCT
aiti-13516	78	15	and	and	CCONJ
aiti-13516	78	16	face	face	NOUN
aiti-13516	78	17	recognition	recognition	NOUN
aiti-13516	78	18	,	,	PUNCT
aiti-13516	78	19	cnn	cnn	PROPN
aiti-13516	78	20	has	have	AUX
aiti-13516	78	21	shown	show	VERB
aiti-13516	78	22	unparalleled	unparalleled	ADJ
aiti-13516	78	23	performance	performance	NOUN
aiti-13516	78	24	.	.	PUNCT
aiti-13516	79	1	utilizing	utilize	VERB
aiti-13516	79	2	cnn	cnn	PROPN
aiti-13516	79	3	architectures	architecture	NOUN
aiti-13516	79	4	specifically	specifically	ADV
aiti-13516	79	5	designed	design	VERB
aiti-13516	79	6	for	for	ADP
aiti-13516	79	7	ir	ir	PROPN
aiti-13516	79	8	can	can	AUX
aiti-13516	79	9	conduce	conduce	VERB
aiti-13516	79	10	to	to	ADP
aiti-13516	79	11	improved	improved	ADJ
aiti-13516	79	12	accuracy	accuracy	NOUN
aiti-13516	79	13	and	and	CCONJ
aiti-13516	79	14	reliability	reliability	NOUN
aiti-13516	79	15	[	[	X
aiti-13516	79	16	12	12	NUM
aiti-13516	79	17	]	]	PUNCT
aiti-13516	79	18	.	.	PUNCT
aiti-13516	80	1	fig	fig	NOUN
aiti-13516	80	2	.	.	PUNCT
aiti-13516	81	1	1	1	NUM
aiti-13516	81	2	diagrammatically	diagrammatically	ADV
aiti-13516	81	3	presents	present	VERB
aiti-13516	81	4	an	an	DET
aiti-13516	81	5	illustration	illustration	NOUN
aiti-13516	81	6	of	of	ADP
aiti-13516	81	7	the	the	DET
aiti-13516	81	8	study	study	NOUN
aiti-13516	81	9	.	.	PUNCT
aiti-13516	82	1	fig	fig	NOUN
aiti-13516	82	2	.	.	PUNCT
aiti-13516	83	1	1	1	NUM
aiti-13516	83	2	proposed	propose	VERB
aiti-13516	83	3	study	study	NOUN
aiti-13516	83	4	of	of	ADP
aiti-13516	83	5	iris	iris	NOUN
aiti-13516	83	6	recognition	recognition	NOUN
aiti-13516	83	7	scheme	scheme	NOUN
aiti-13516	83	8	synoptically	synoptically	ADV
aiti-13516	83	9	,	,	PUNCT
aiti-13516	83	10	this	this	DET
aiti-13516	83	11	paper	paper	NOUN
aiti-13516	83	12	enumerates	enumerate	VERB
aiti-13516	83	13	the	the	DET
aiti-13516	83	14	contents	content	NOUN
aiti-13516	83	15	as	as	SCONJ
aiti-13516	83	16	follows	follow	VERB
aiti-13516	83	17	.	.	PUNCT
aiti-13516	84	1	section	section	NOUN
aiti-13516	84	2	2	2	NUM
aiti-13516	84	3	introduces	introduce	VERB
aiti-13516	84	4	the	the	DET
aiti-13516	84	5	materials	material	NOUN
aiti-13516	84	6	and	and	CCONJ
aiti-13516	84	7	methods	method	NOUN
aiti-13516	84	8	.	.	PUNCT
aiti-13516	85	1	section	section	NOUN
aiti-13516	85	2	3	3	NUM
aiti-13516	85	3	renders	render	VERB
aiti-13516	85	4	an	an	DET
aiti-13516	85	5	elucidation	elucidation	NOUN
aiti-13516	85	6	of	of	ADP
aiti-13516	85	7	the	the	DET
aiti-13516	85	8	recommended	recommend	VERB
aiti-13516	85	9	scheme	scheme	NOUN
aiti-13516	85	10	,	,	PUNCT
aiti-13516	85	11	and	and	CCONJ
aiti-13516	85	12	section	section	NOUN
aiti-13516	85	13	4	4	NUM
aiti-13516	85	14	presents	present	VERB
aiti-13516	85	15	the	the	DET
aiti-13516	85	16	experiment	experiment	NOUN
aiti-13516	85	17	’s	’s	PART
aiti-13516	85	18	findings	finding	NOUN
aiti-13516	85	19	.	.	PUNCT
aiti-13516	86	1	eventually	eventually	ADV
aiti-13516	86	2	,	,	PUNCT
aiti-13516	86	3	the	the	DET
aiti-13516	86	4	conclusion	conclusion	NOUN
aiti-13516	86	5	is	be	AUX
aiti-13516	86	6	drawn	draw	VERB
aiti-13516	86	7	in	in	ADP
aiti-13516	86	8	section	section	NOUN
aiti-13516	86	9	5	5	NUM
aiti-13516	86	10	.	.	NOUN
aiti-13516	86	11	2	2	NUM
aiti-13516	86	12	.	.	PUNCT
aiti-13516	86	13	materials	material	NOUN
aiti-13516	86	14	and	and	CCONJ
aiti-13516	86	15	methods	method	NOUN
aiti-13516	86	16	this	this	DET
aiti-13516	86	17	section	section	NOUN
aiti-13516	86	18	introduces	introduce	VERB
aiti-13516	86	19	the	the	DET
aiti-13516	86	20	materials	material	NOUN
aiti-13516	86	21	and	and	CCONJ
aiti-13516	86	22	methods	method	NOUN
aiti-13516	86	23	of	of	ADP
aiti-13516	86	24	the	the	DET
aiti-13516	86	25	ir	ir	PROPN
aiti-13516	86	26	scheme	scheme	NOUN
aiti-13516	86	27	used	use	VERB
aiti-13516	86	28	in	in	ADP
aiti-13516	86	29	this	this	DET
aiti-13516	86	30	study	study	NOUN
aiti-13516	86	31	in	in	ADP
aiti-13516	86	32	detail	detail	NOUN
aiti-13516	86	33	,	,	PUNCT
aiti-13516	86	34	including	include	VERB
aiti-13516	86	35	image	image	NOUN
aiti-13516	86	36	histogram	histogram	NOUN
aiti-13516	86	37	,	,	PUNCT
aiti-13516	86	38	median	median	ADJ
aiti-13516	86	39	filter	filter	NOUN
aiti-13516	86	40	,	,	PUNCT
aiti-13516	86	41	entropy	entropy	NOUN
aiti-13516	86	42	,	,	PUNCT
aiti-13516	86	43	and	and	CCONJ
aiti-13516	86	44	morphology	morphology	NOUN
aiti-13516	86	45	,	,	PUNCT
aiti-13516	86	46	which	which	PRON
aiti-13516	86	47	are	be	AUX
aiti-13516	86	48	used	use	VERB
aiti-13516	86	49	in	in	ADP
aiti-13516	86	50	the	the	DET
aiti-13516	86	51	segmentation	segmentation	NOUN
aiti-13516	86	52	phase	phase	NOUN
aiti-13516	86	53	.	.	PUNCT
aiti-13516	87	1	meanwhile	meanwhile	ADV
aiti-13516	87	2	,	,	PUNCT
aiti-13516	87	3	the	the	DET
aiti-13516	87	4	deep	deep	ADJ
aiti-13516	87	5	cnn	cnn	PROPN
aiti-13516	87	6	structure	structure	NOUN
aiti-13516	87	7	used	use	VERB
aiti-13516	87	8	in	in	ADP
aiti-13516	87	9	the	the	DET
aiti-13516	87	10	recognition	recognition	NOUN
aiti-13516	87	11	phase	phase	NOUN
aiti-13516	87	12	is	be	AUX
aiti-13516	87	13	explained	explain	VERB
aiti-13516	87	14	.	.	PUNCT
aiti-13516	88	1	furthermore	furthermore	ADV
aiti-13516	88	2	,	,	PUNCT
aiti-13516	88	3	the	the	DET
aiti-13516	88	4	mathematical	mathematical	ADJ
aiti-13516	88	5	concepts	concept	NOUN
aiti-13516	88	6	for	for	ADP
aiti-13516	88	7	each	each	DET
aiti-13516	88	8	method	method	NOUN
aiti-13516	88	9	have	have	AUX
aiti-13516	88	10	been	be	AUX
aiti-13516	88	11	provided	provide	VERB
aiti-13516	88	12	.	.	PUNCT
aiti-13516	89	1	200	200	NUM
aiti-13516	89	2	advances	advance	NOUN
aiti-13516	89	3	in	in	ADP
aiti-13516	89	4	technology	technology	NOUN
aiti-13516	89	5	innovation	innovation	NOUN
aiti-13516	89	6	,	,	PUNCT
aiti-13516	89	7	vol	vol	NOUN
aiti-13516	89	8	.	.	PROPN
aiti-13516	89	9	9	9	NUM
aiti-13516	89	10	,	,	PUNCT
aiti-13516	89	11	no	no	INTJ
aiti-13516	89	12	.	.	NOUN
aiti-13516	89	13	3	3	NUM
aiti-13516	89	14	,	,	PUNCT
aiti-13516	89	15	2024	2024	NUM
aiti-13516	89	16	,	,	PUNCT
aiti-13516	89	17	pp	pp	ADV
aiti-13516	89	18	.	.	PUNCT
aiti-13516	90	1	197	197	NUM
aiti-13516	90	2	-	-	SYM
aiti-13516	90	3	209	209	NUM
aiti-13516	90	4	2.1	2.1	NUM
aiti-13516	90	5	.	.	PUNCT
aiti-13516	91	1	image	image	NOUN
aiti-13516	91	2	histogram	histogram	NOUN
aiti-13516	91	3	a	a	DET
aiti-13516	91	4	histogram	histogram	NOUN
aiti-13516	91	5	statistically	statistically	ADV
aiti-13516	91	6	represents	represent	VERB
aiti-13516	91	7	the	the	DET
aiti-13516	91	8	relationship	relationship	NOUN
aiti-13516	91	9	between	between	ADP
aiti-13516	91	10	the	the	DET
aiti-13516	91	11	pixel	pixel	PROPN
aiti-13516	91	12	intensities	intensity	NOUN
aiti-13516	91	13	and	and	CCONJ
aiti-13516	91	14	the	the	DET
aiti-13516	91	15	frequency	frequency	NOUN
aiti-13516	91	16	of	of	ADP
aiti-13516	91	17	occurrence	occurrence	NOUN
aiti-13516	91	18	of	of	ADP
aiti-13516	91	19	each	each	DET
aiti-13516	91	20	intensity	intensity	NOUN
aiti-13516	91	21	(	(	PUNCT
aiti-13516	91	22	0	0	NUM
aiti-13516	91	23	to	to	ADP
aiti-13516	91	24	255	255	NUM
aiti-13516	91	25	in	in	ADP
aiti-13516	91	26	gray	gray	ADJ
aiti-13516	91	27	level	level	NOUN
aiti-13516	91	28	)	)	PUNCT
aiti-13516	91	29	on	on	ADP
aiti-13516	91	30	the	the	DET
aiti-13516	91	31	x	x	NOUN
aiti-13516	91	32	-	-	NOUN
aiti-13516	91	33	axis	axis	ADJ
aiti-13516	91	34	,	,	PUNCT
aiti-13516	91	35	which	which	PRON
aiti-13516	91	36	can	can	AUX
aiti-13516	91	37	be	be	AUX
aiti-13516	91	38	simply	simply	ADV
aiti-13516	91	39	interpreted	interpret	VERB
aiti-13516	91	40	as	as	ADP
aiti-13516	91	41	the	the	DET
aiti-13516	91	42	converse	converse	NOUN
aiti-13516	91	43	number	number	NOUN
aiti-13516	91	44	of	of	ADP
aiti-13516	91	45	pixels	pixel	NOUN
aiti-13516	91	46	on	on	ADP
aiti-13516	91	47	the	the	DET
aiti-13516	91	48	y	y	NOUN
aiti-13516	91	49	-	-	PUNCT
aiti-13516	91	50	axis	axis	NOUN
aiti-13516	91	51	.	.	PUNCT
aiti-13516	92	1	a	a	DET
aiti-13516	92	2	histogram	histogram	NOUN
aiti-13516	92	3	in	in	ADP
aiti-13516	92	4	image	image	NOUN
aiti-13516	92	5	processing	processing	NOUN
aiti-13516	92	6	delineates	delineate	VERB
aiti-13516	92	7	the	the	DET
aiti-13516	92	8	relationship	relationship	NOUN
aiti-13516	92	9	between	between	ADP
aiti-13516	92	10	two	two	NUM
aiti-13516	92	11	images	image	NOUN
aiti-13516	92	12	concerning	concern	VERB
aiti-13516	92	13	the	the	DET
aiti-13516	92	14	intensities	intensity	NOUN
aiti-13516	92	15	at	at	ADP
aiti-13516	92	16	a	a	DET
aiti-13516	92	17	specific	specific	ADJ
aiti-13516	92	18	moment	moment	NOUN
aiti-13516	92	19	.	.	PUNCT
aiti-13516	93	1	as	as	SCONJ
aiti-13516	93	2	formulated	formulate	VERB
aiti-13516	93	3	below	below	ADV
aiti-13516	93	4	,	,	PUNCT
aiti-13516	93	5	the	the	DET
aiti-13516	93	6	histogram	histogram	NOUN
aiti-13516	93	7	is	be	AUX
aiti-13516	93	8	presented	present	VERB
aiti-13516	93	9	[	[	X
aiti-13516	93	10	17	17	NUM
aiti-13516	93	11	]	]	PUNCT
aiti-13516	93	12	.	.	PUNCT
aiti-13516	94	1	a	a	DET
aiti-13516	94	2	histogram	histogram	NOUN
aiti-13516	94	3	is	be	AUX
aiti-13516	94	4	widely	widely	ADV
aiti-13516	94	5	used	use	VERB
aiti-13516	94	6	in	in	ADP
aiti-13516	94	7	image	image	NOUN
aiti-13516	94	8	processing	processing	NOUN
aiti-13516	94	9	for	for	ADP
aiti-13516	94	10	thresholding	thresholding	NOUN
aiti-13516	94	11	and	and	CCONJ
aiti-13516	94	12	segmentation	segmentation	NOUN
aiti-13516	94	13	steps	step	NOUN
aiti-13516	94	14	.	.	PUNCT
aiti-13516	95	1	(	(	PUNCT
aiti-13516	95	2	)	)	PUNCT
aiti-13516	95	3	(	(	PUNCT
aiti-13516	95	4	)	)	PUNCT
aiti-13516	95	5	=	=	X
aiti-13516	95	6	h	h	NOUN
aiti-13516	96	1	i	i	PRON
aiti-13516	96	2	g	g	VERB
aiti-13516	96	3	i	i	PRON
aiti-13516	96	4	(	(	PUNCT
aiti-13516	96	5	1	1	NUM
aiti-13516	96	6	)	)	PUNCT
aiti-13516	96	7	2.2	2.2	NUM
aiti-13516	96	8	.	.	PUNCT
aiti-13516	97	1	median	median	ADJ
aiti-13516	97	2	filter	filter	NOUN
aiti-13516	97	3	the	the	DET
aiti-13516	97	4	median	median	ADJ
aiti-13516	97	5	filter	filter	NOUN
aiti-13516	97	6	is	be	AUX
aiti-13516	97	7	a	a	DET
aiti-13516	97	8	straightforward	straightforward	ADJ
aiti-13516	97	9	nonlinear	nonlinear	NOUN
aiti-13516	97	10	smoother	smooth	ADJ
aiti-13516	97	11	,	,	PUNCT
aiti-13516	97	12	which	which	PRON
aiti-13516	97	13	can	can	AUX
aiti-13516	97	14	eliminate	eliminate	VERB
aiti-13516	97	15	noise	noise	NOUN
aiti-13516	97	16	while	while	SCONJ
aiti-13516	97	17	retaining	retain	VERB
aiti-13516	97	18	sharp	sharp	ADJ
aiti-13516	97	19	,	,	PUNCT
aiti-13516	97	20	prolonged	prolonged	ADJ
aiti-13516	97	21	variations	variation	NOUN
aiti-13516	97	22	such	such	ADJ
aiti-13516	97	23	as	as	ADP
aiti-13516	97	24	edges	edge	NOUN
aiti-13516	97	25	in	in	ADP
aiti-13516	97	26	signal	signal	ADJ
aiti-13516	97	27	values	value	NOUN
aiti-13516	97	28	.	.	PUNCT
aiti-13516	98	1	therefore	therefore	ADV
aiti-13516	98	2	,	,	PUNCT
aiti-13516	98	3	the	the	DET
aiti-13516	98	4	median	median	ADJ
aiti-13516	98	5	filter	filter	NOUN
aiti-13516	98	6	is	be	AUX
aiti-13516	98	7	evidenced	evidence	VERB
aiti-13516	98	8	by	by	ADP
aiti-13516	98	9	the	the	DET
aiti-13516	98	10	ability	ability	NOUN
aiti-13516	98	11	to	to	PART
aiti-13516	98	12	mitigate	mitigate	VERB
aiti-13516	98	13	impulsive	impulsive	ADJ
aiti-13516	98	14	noise	noise	NOUN
aiti-13516	98	15	[	[	X
aiti-13516	98	16	18	18	NUM
aiti-13516	98	17	]	]	PUNCT
aiti-13516	98	18	.	.	PUNCT
aiti-13516	99	1	the	the	DET
aiti-13516	99	2	median	median	ADJ
aiti-13516	99	3	value	value	NOUN
aiti-13516	99	4	of	of	ADP
aiti-13516	99	5	the	the	DET
aiti-13516	99	6	central	central	ADJ
aiti-13516	99	7	input	input	NOUN
aiti-13516	99	8	data	datum	NOUN
aiti-13516	99	9	inside	inside	ADP
aiti-13516	99	10	the	the	DET
aiti-13516	99	11	window	window	NOUN
aiti-13516	99	12	is	be	AUX
aiti-13516	99	13	the	the	DET
aiti-13516	99	14	output	output	NOUN
aiti-13516	99	15	of	of	ADP
aiti-13516	99	16	the	the	DET
aiti-13516	99	17	filter	filter	NOUN
aiti-13516	99	18	at	at	ADP
aiti-13516	99	19	a	a	DET
aiti-13516	99	20	certain	certain	ADJ
aiti-13516	99	21	moment	moment	NOUN
aiti-13516	99	22	.	.	PUNCT
aiti-13516	100	1	if	if	SCONJ
aiti-13516	100	2	the	the	DET
aiti-13516	100	3	value	value	NOUN
aiti-13516	100	4	�	�	PROPN
aiti-13516	100	5	(	(	PUNCT
aiti-13516	100	6	�	�	PROPN
aiti-13516	100	7	)	)	PUNCT
aiti-13516	100	8	input	input	NOUN
aiti-13516	100	9	image	image	NOUN
aiti-13516	100	10	,	,	PUNCT
aiti-13516	100	11	while	while	SCONJ
aiti-13516	100	12	�	�	PROPN
aiti-13516	100	13	(	(	PUNCT
aiti-13516	100	14	�	�	PROPN
aiti-13516	100	15	)	)	PUNCT
aiti-13516	100	16	output	output	NOUN
aiti-13516	100	17	image	image	NOUN
aiti-13516	100	18	.	.	PUNCT
aiti-13516	101	1	meanwhile	meanwhile	ADV
aiti-13516	101	2	,	,	PUNCT
aiti-13516	101	3	both	both	CCONJ
aiti-13516	101	4	input	input	NOUN
aiti-13516	101	5	and	and	CCONJ
aiti-13516	101	6	output	output	NOUN
aiti-13516	101	7	of	of	ADP
aiti-13516	101	8	window	window	NOUN
aiti-13516	101	9	size	size	NOUN
aiti-13516	101	10	(	(	PUNCT
aiti-13516	101	11	2	2	NUM
aiti-13516	101	12	m	m	NOUN
aiti-13516	101	13	+	+	NOUN
aiti-13516	101	14	1	1	NUM
aiti-13516	101	15	)	)	PUNCT
aiti-13516	101	16	are	be	AUX
aiti-13516	101	17	yielded	yield	VERB
aiti-13516	101	18	with	with	ADP
aiti-13516	101	19	one	one	NUM
aiti-13516	101	20	-	-	PUNCT
aiti-13516	101	21	dimensional	dimensional	ADJ
aiti-13516	101	22	(	(	PUNCT
aiti-13516	101	23	1	1	NUM
aiti-13516	101	24	-	-	SYM
aiti-13516	101	25	d	d	NOUN
aiti-13516	101	26	)	)	PUNCT
aiti-13516	101	27	,	,	PUNCT
aiti-13516	101	28	and	and	CCONJ
aiti-13516	101	29	the	the	DET
aiti-13516	101	30	output	output	NOUN
aiti-13516	101	31	image	image	NOUN
aiti-13516	101	32	after	after	SCONJ
aiti-13516	101	33	the	the	DET
aiti-13516	101	34	median	median	ADJ
aiti-13516	101	35	filter	filter	NOUN
aiti-13516	101	36	is	be	AUX
aiti-13516	101	37	given	give	VERB
aiti-13516	101	38	in	in	ADP
aiti-13516	101	39	:	:	PUNCT
aiti-13516	101	40	(	(	PUNCT
aiti-13516	101	41	)	)	PUNCT
aiti-13516	101	42	(	(	PUNCT
aiti-13516	101	43	)	)	PUNCT
aiti-13516	101	44	(	(	PUNCT
aiti-13516	101	45	)	)	PUNCT
aiti-13516	101	46	{	{	PUNCT
aiti-13516	101	47	}	}	PUNCT
aiti-13516	101	48	(	(	PUNCT
aiti-13516	101	49	)	)	PUNCT
aiti-13516	101	50	,	,	PUNCT
aiti-13516	101	51	(	(	PUNCT
aiti-13516	101	52	)	)	PUNCT
aiti-13516	101	53	1	1	NUM
aiti-13516	101	54	,	,	PUNCT
aiti-13516	101	55	=	=	PUNCT
aiti-13516	102	1	−	−	PROPN
aiti-13516	102	2	−	−	PROPN
aiti-13516	103	1	+	+	PROPN
aiti-13516	103	2	…	…	PUNCT
aiti-13516	103	3	…	…	PUNCT
aiti-13516	103	4	y	y	PROPN
aiti-13516	103	5	g	g	PROPN
aiti-13516	103	6	med	me	VERB
aiti-13516	103	7	x	x	X
aiti-13516	103	8	g	g	PROPN
aiti-13516	103	9	m	m	NOUN
aiti-13516	103	10	x	x	X
aiti-13516	103	11	g	g	NOUN
aiti-13516	103	12	x	x	X
aiti-13516	103	13	g	g	NOUN
aiti-13516	103	14	g	g	PROPN
aiti-13516	103	15	m	m	PROPN
aiti-13516	103	16	(	(	PUNCT
aiti-13516	103	17	2	2	NUM
aiti-13516	103	18	)	)	PUNCT
aiti-13516	103	19	where	where	SCONJ
aiti-13516	103	20	1	1	NUM
aiti-13516	103	21	≤	≤	NOUN
aiti-13516	103	22	g	g	PROPN
aiti-13516	103	23	≥	≥	PROPN
aiti-13516	103	24	r.	r.	PROPN
aiti-13516	103	25	here	here	ADV
aiti-13516	103	26	,	,	PUNCT
aiti-13516	103	27	�	�	PROPN
aiti-13516	103	28	(	(	PUNCT
aiti-13516	103	29	1	1	NUM
aiti-13516	103	30	)	)	PUNCT
aiti-13516	103	31	and	and	CCONJ
aiti-13516	103	32	�	�	PROPN
aiti-13516	103	33	(	(	PUNCT
aiti-13516	103	34	)	)	PUNCT
aiti-13516	103	35	,	,	PUNCT
aiti-13516	103	36	while	while	SCONJ
aiti-13516	103	37	∈	∈	PROPN
aiti-13516	103	38	�	�	PROPN
aiti-13516	103	39	,	,	PUNCT
aiti-13516	103	40	are	be	AUX
aiti-13516	103	41	repeated	repeat	VERB
aiti-13516	103	42	(	(	PUNCT
aiti-13516	103	43	m	m	NOUN
aiti-13516	103	44	)	)	PUNCT
aiti-13516	103	45	times	time	NOUN
aiti-13516	103	46	at	at	ADP
aiti-13516	103	47	both	both	CCONJ
aiti-13516	103	48	the	the	DET
aiti-13516	103	49	start	start	NOUN
aiti-13516	103	50	and	and	CCONJ
aiti-13516	103	51	end	end	NOUN
aiti-13516	103	52	of	of	ADP
aiti-13516	103	53	the	the	DET
aiti-13516	103	54	input	input	NOUN
aiti-13516	103	55	to	to	PART
aiti-13516	103	56	account	account	VERB
aiti-13516	103	57	for	for	ADP
aiti-13516	103	58	startup	startup	NOUN
aiti-13516	103	59	and	and	CCONJ
aiti-13516	103	60	end	end	VERB
aiti-13516	103	61	impact	impact	NOUN
aiti-13516	103	62	.	.	PUNCT
aiti-13516	104	1	2.3	2.3	NUM
aiti-13516	104	2	.	.	PUNCT
aiti-13516	104	3	entropy	entropy	PROPN
aiti-13516	104	4	function	function	VERB
aiti-13516	104	5	in	in	ADP
aiti-13516	104	6	image	image	NOUN
aiti-13516	104	7	processing	processing	NOUN
aiti-13516	104	8	,	,	PUNCT
aiti-13516	104	9	the	the	DET
aiti-13516	104	10	measure	measure	NOUN
aiti-13516	104	11	of	of	ADP
aiti-13516	104	12	randomness	randomness	NOUN
aiti-13516	104	13	or	or	CCONJ
aiti-13516	104	14	uncertainty	uncertainty	NOUN
aiti-13516	104	15	in	in	ADP
aiti-13516	104	16	an	an	DET
aiti-13516	104	17	image	image	NOUN
aiti-13516	104	18	is	be	AUX
aiti-13516	104	19	measured	measure	VERB
aiti-13516	104	20	by	by	ADP
aiti-13516	104	21	the	the	DET
aiti-13516	104	22	entropy	entropy	PROPN
aiti-13516	104	23	function	function	NOUN
aiti-13516	104	24	.	.	PUNCT
aiti-13516	105	1	the	the	DET
aiti-13516	105	2	entropy	entropy	PROPN
aiti-13516	105	3	function	function	NOUN
aiti-13516	105	4	measures	measure	VERB
aiti-13516	105	5	the	the	DET
aiti-13516	105	6	quantity	quantity	NOUN
aiti-13516	105	7	of	of	ADP
aiti-13516	105	8	information	information	NOUN
aiti-13516	105	9	or	or	CCONJ
aiti-13516	105	10	disorder	disorder	NOUN
aiti-13516	105	11	in	in	ADP
aiti-13516	105	12	the	the	DET
aiti-13516	105	13	pixel	pixel	PROPN
aiti-13516	105	14	intensity	intensity	NOUN
aiti-13516	105	15	distribution	distribution	NOUN
aiti-13516	105	16	mathematically	mathematically	ADV
aiti-13516	105	17	.	.	PUNCT
aiti-13516	106	1	moreover	moreover	ADV
aiti-13516	106	2	,	,	PUNCT
aiti-13516	106	3	the	the	DET
aiti-13516	106	4	entropy	entropy	NOUN
aiti-13516	106	5	function	function	NOUN
aiti-13516	106	6	is	be	AUX
aiti-13516	106	7	frequently	frequently	ADV
aiti-13516	106	8	employed	employ	VERB
aiti-13516	106	9	as	as	ADP
aiti-13516	106	10	a	a	DET
aiti-13516	106	11	criterion	criterion	NOUN
aiti-13516	106	12	for	for	ADP
aiti-13516	106	13	choosing	choose	VERB
aiti-13516	106	14	an	an	DET
aiti-13516	106	15	ideal	ideal	ADJ
aiti-13516	106	16	threshold	threshold	NOUN
aiti-13516	106	17	value	value	NOUN
aiti-13516	106	18	in	in	ADP
aiti-13516	106	19	image	image	NOUN
aiti-13516	106	20	binarization	binarization	NOUN
aiti-13516	106	21	,	,	PUNCT
aiti-13516	106	22	where	where	SCONJ
aiti-13516	106	23	the	the	DET
aiti-13516	106	24	objective	objective	NOUN
aiti-13516	106	25	is	be	AUX
aiti-13516	106	26	to	to	PART
aiti-13516	106	27	convert	convert	VERB
aiti-13516	106	28	a	a	DET
aiti-13516	106	29	grayscale	grayscale	NOUN
aiti-13516	106	30	image	image	NOUN
aiti-13516	106	31	into	into	ADP
aiti-13516	106	32	a	a	DET
aiti-13516	106	33	binary	binary	ADJ
aiti-13516	106	34	image	image	NOUN
aiti-13516	106	35	,	,	PUNCT
aiti-13516	106	36	i.e.	i.e.	X
aiti-13516	106	37	,	,	PUNCT
aiti-13516	106	38	black	black	ADJ
aiti-13516	106	39	and	and	CCONJ
aiti-13516	106	40	white	white	ADJ
aiti-13516	106	41	only	only	ADV
aiti-13516	106	42	.	.	PUNCT
aiti-13516	107	1	according	accord	VERB
aiti-13516	107	2	to	to	ADP
aiti-13516	107	3	the	the	DET
aiti-13516	107	4	threshold	threshold	NOUN
aiti-13516	107	5	value	value	NOUN
aiti-13516	107	6	,	,	PUNCT
aiti-13516	107	7	pixels	pixel	NOUN
aiti-13516	107	8	are	be	AUX
aiti-13516	107	9	dichotomously	dichotomously	ADV
aiti-13516	107	10	classed	class	VERB
aiti-13516	107	11	as	as	ADP
aiti-13516	107	12	black	black	ADJ
aiti-13516	107	13	and	and	CCONJ
aiti-13516	107	14	white	white	ADJ
aiti-13516	107	15	.	.	PUNCT
aiti-13516	108	1	fundamentally	fundamentally	ADV
aiti-13516	108	2	,	,	PUNCT
aiti-13516	108	3	the	the	DET
aiti-13516	108	4	concept	concept	NOUN
aiti-13516	108	5	entails	entail	VERB
aiti-13516	108	6	determining	determine	VERB
aiti-13516	108	7	the	the	DET
aiti-13516	108	8	threshold	threshold	NOUN
aiti-13516	108	9	and	and	CCONJ
aiti-13516	108	10	optimizing	optimize	VERB
aiti-13516	108	11	the	the	DET
aiti-13516	108	12	entropy	entropy	NOUN
aiti-13516	108	13	of	of	ADP
aiti-13516	108	14	the	the	DET
aiti-13516	108	15	final	final	ADJ
aiti-13516	108	16	binary	binary	ADJ
aiti-13516	108	17	image	image	NOUN
aiti-13516	108	18	,	,	PUNCT
aiti-13516	108	19	which	which	PRON
aiti-13516	108	20	indicates	indicate	VERB
aiti-13516	108	21	that	that	SCONJ
aiti-13516	108	22	the	the	DET
aiti-13516	108	23	threshold	threshold	NOUN
aiti-13516	108	24	value	value	NOUN
aiti-13516	108	25	is	be	AUX
aiti-13516	108	26	selected	select	VERB
aiti-13516	108	27	to	to	PART
aiti-13516	108	28	produce	produce	VERB
aiti-13516	108	29	a	a	DET
aiti-13516	108	30	binary	binary	ADJ
aiti-13516	108	31	image	image	NOUN
aiti-13516	108	32	with	with	ADP
aiti-13516	108	33	the	the	DET
aiti-13516	108	34	maximum	maximum	NOUN
aiti-13516	108	35	of	of	ADP
aiti-13516	108	36	information	information	NOUN
aiti-13516	108	37	or	or	CCONJ
aiti-13516	108	38	randomness	randomness	NOUN
aiti-13516	108	39	feasible	feasible	ADJ
aiti-13516	108	40	.	.	PUNCT
aiti-13516	109	1	to	to	PART
aiti-13516	109	2	determine	determine	VERB
aiti-13516	109	3	the	the	DET
aiti-13516	109	4	effectiveness	effectiveness	NOUN
aiti-13516	109	5	,	,	PUNCT
aiti-13516	109	6	the	the	DET
aiti-13516	109	7	results	result	NOUN
aiti-13516	109	8	of	of	ADP
aiti-13516	109	9	separation	separation	NOUN
aiti-13516	109	10	between	between	ADP
aiti-13516	109	11	both	both	DET
aiti-13516	109	12	foreground	foreground	NOUN
aiti-13516	109	13	(	(	PUNCT
aiti-13516	109	14	items	item	NOUN
aiti-13516	109	15	of	of	ADP
aiti-13516	109	16	interest	interest	NOUN
aiti-13516	109	17	)	)	PUNCT
aiti-13516	109	18	and	and	CCONJ
aiti-13516	109	19	background	background	NOUN
aiti-13516	109	20	is	be	AUX
aiti-13516	109	21	proportional	proportional	ADJ
aiti-13516	109	22	to	to	PART
aiti-13516	109	23	entropy	entropy	VERB
aiti-13516	109	24	.	.	PUNCT
aiti-13516	110	1	the	the	DET
aiti-13516	110	2	binarization	binarization	NOUN
aiti-13516	110	3	is	be	AUX
aiti-13516	110	4	to	to	PART
aiti-13516	110	5	efficiently	efficiently	ADV
aiti-13516	110	6	separate	separate	ADJ
aiti-13516	110	7	objects	object	NOUN
aiti-13516	110	8	from	from	ADP
aiti-13516	110	9	the	the	DET
aiti-13516	110	10	background	background	NOUN
aiti-13516	110	11	and	and	CCONJ
aiti-13516	110	12	,	,	PUNCT
aiti-13516	110	13	simultaneously	simultaneously	ADV
aiti-13516	110	14	,	,	PUNCT
aiti-13516	110	15	retain	retain	VERB
aiti-13516	110	16	information	information	NOUN
aiti-13516	110	17	at	at	ADP
aiti-13516	110	18	best	good	ADJ
aiti-13516	110	19	in	in	ADP
aiti-13516	110	20	the	the	DET
aiti-13516	110	21	final	final	ADJ
aiti-13516	110	22	binary	binary	ADJ
aiti-13516	110	23	image	image	NOUN
aiti-13516	110	24	by	by	ADP
aiti-13516	110	25	maximizing	maximize	VERB
aiti-13516	110	26	entropy	entropy	NOUN
aiti-13516	110	27	.	.	PUNCT
aiti-13516	111	1	applications	application	NOUN
aiti-13516	111	2	encompassing	encompass	VERB
aiti-13516	111	3	image	image	NOUN
aiti-13516	111	4	processing	processing	NOUN
aiti-13516	111	5	,	,	PUNCT
aiti-13516	111	6	such	such	ADJ
aiti-13516	111	7	as	as	ADP
aiti-13516	111	8	segmentation	segmentation	NOUN
aiti-13516	111	9	,	,	PUNCT
aiti-13516	111	10	optical	optical	ADJ
aiti-13516	111	11	character	character	NOUN
aiti-13516	111	12	recognition	recognition	NOUN
aiti-13516	111	13	(	(	PUNCT
aiti-13516	111	14	ocr	ocr	NOUN
aiti-13516	111	15	)	)	PUNCT
aiti-13516	111	16	,	,	PUNCT
aiti-13516	111	17	and	and	CCONJ
aiti-13516	111	18	object	object	VERB
aiti-13516	111	19	recognition	recognition	NOUN
aiti-13516	111	20	,	,	PUNCT
aiti-13516	111	21	benefit	benefit	VERB
aiti-13516	111	22	greatly	greatly	ADV
aiti-13516	111	23	from	from	ADP
aiti-13516	111	24	binarization	binarization	NOUN
aiti-13516	111	25	.	.	PUNCT
aiti-13516	112	1	the	the	DET
aiti-13516	112	2	entropy	entropy	NOUN
aiti-13516	112	3	function	function	NOUN
aiti-13516	112	4	is	be	AUX
aiti-13516	112	5	presented	present	VERB
aiti-13516	112	6	:	:	PUNCT
aiti-13516	112	7	1	1	NUM
aiti-13516	112	8	0	0	NUM
aiti-13516	112	9	(	(	PUNCT
aiti-13516	112	10	)	)	PUNCT
aiti-13516	112	11	log	log	NOUN
aiti-13516	112	12	=	=	NOUN
aiti-13516	113	1	=	=	PUNCT
aiti-13516	113	2	=	=	PUNCT
aiti-13516	114	1	−	−	NOUN
aiti-13516	115	1	i	i	PRON
aiti-13516	115	2	i	i	PRON
aiti-13516	116	1	i	i	PRON
aiti-13516	116	2	i	i	PRON
aiti-13516	117	1	en	en	VERB
aiti-13516	117	2	h	h	NOUN
aiti-13516	117	3	p	p	NOUN
aiti-13516	117	4	p	p	X
aiti-13516	117	5	(	(	PUNCT
aiti-13516	117	6	3	3	NUM
aiti-13516	117	7	)	)	PUNCT
aiti-13516	117	8	2.4	2.4	NUM
aiti-13516	117	9	.	.	PUNCT
aiti-13516	118	1	morphology	morphology	VERB
aiti-13516	118	2	a	a	DET
aiti-13516	118	3	cluster	cluster	NOUN
aiti-13516	118	4	of	of	ADP
aiti-13516	118	5	methods	method	NOUN
aiti-13516	118	6	,	,	PUNCT
aiti-13516	118	7	which	which	PRON
aiti-13516	118	8	is	be	AUX
aiti-13516	118	9	known	know	VERB
aiti-13516	118	10	as	as	ADP
aiti-13516	118	11	morphological	morphological	ADJ
aiti-13516	118	12	operations	operation	NOUN
aiti-13516	118	13	,	,	PUNCT
aiti-13516	118	14	are	be	AUX
aiti-13516	118	15	used	use	VERB
aiti-13516	118	16	in	in	ADP
aiti-13516	118	17	image	image	NOUN
aiti-13516	118	18	processing	processing	NOUN
aiti-13516	118	19	to	to	PART
aiti-13516	118	20	structurally	structurally	ADV
aiti-13516	118	21	examine	examine	VERB
aiti-13516	118	22	and	and	CCONJ
aiti-13516	118	23	modify	modify	VERB
aiti-13516	118	24	an	an	DET
aiti-13516	118	25	object	object	NOUN
aiti-13516	118	26	according	accord	VERB
aiti-13516	118	27	to	to	ADP
aiti-13516	118	28	topological	topological	ADJ
aiti-13516	118	29	and	and	CCONJ
aiti-13516	118	30	spatial	spatial	ADJ
aiti-13516	118	31	properties	property	NOUN
aiti-13516	118	32	.	.	PUNCT
aiti-13516	119	1	morphological	morphological	ADJ
aiti-13516	119	2	operations	operation	NOUN
aiti-13516	119	3	are	be	AUX
aiti-13516	119	4	useful	useful	ADJ
aiti-13516	119	5	for	for	ADP
aiti-13516	119	6	noise	noise	NOUN
aiti-13516	119	7	removal	removal	NOUN
aiti-13516	119	8	,	,	PUNCT
aiti-13516	119	9	feature	feature	NOUN
aiti-13516	119	10	extraction	extraction	NOUN
aiti-13516	119	11	,	,	PUNCT
aiti-13516	119	12	object	object	NOUN
aiti-13516	119	13	detection	detection	NOUN
aiti-13516	119	14	,	,	PUNCT
aiti-13516	119	15	and	and	CCONJ
aiti-13516	119	16	binary	binary	NOUN
aiti-13516	119	17	or	or	CCONJ
aiti-13516	119	18	grayscale	grayscale	NOUN
aiti-13516	119	19	images	image	NOUN
aiti-13516	119	20	.	.	PUNCT
aiti-13516	120	1	images	image	NOUN
aiti-13516	120	2	are	be	AUX
aiti-13516	120	3	transformed	transform	VERB
aiti-13516	120	4	based	base	VERB
aiti-13516	120	5	on	on	ADP
aiti-13516	120	6	shapes	shape	NOUN
aiti-13516	120	7	using	use	VERB
aiti-13516	120	8	morphology	morphology	NOUN
aiti-13516	120	9	.	.	PUNCT
aiti-13516	121	1	an	an	DET
aiti-13516	121	2	input	input	NOUN
aiti-13516	121	3	image	image	NOUN
aiti-13516	121	4	requires	require	VERB
aiti-13516	121	5	a	a	DET
aiti-13516	121	6	scale	scale	NOUN
aiti-13516	121	7	factor	factor	NOUN
aiti-13516	121	8	application	application	NOUN
aiti-13516	121	9	throughout	throughout	ADP
aiti-13516	121	10	morphological	morphological	ADJ
aiti-13516	121	11	processes	process	NOUN
aiti-13516	121	12	to	to	PART
aiti-13516	121	13	generate	generate	VERB
aiti-13516	121	14	an	an	DET
aiti-13516	121	15	identically	identically	ADV
aiti-13516	121	16	sized	sized	ADJ
aiti-13516	121	17	output	output	NOUN
aiti-13516	121	18	image	image	NOUN
aiti-13516	121	19	.	.	PUNCT
aiti-13516	122	1	the	the	DET
aiti-13516	122	2	value	value	NOUN
aiti-13516	122	3	of	of	ADP
aiti-13516	122	4	each	each	DET
aiti-13516	122	5	output	output	NOUN
aiti-13516	122	6	pixel	pixel	VERB
aiti-13516	122	7	from	from	ADP
aiti-13516	122	8	a	a	DET
aiti-13516	122	9	morphological	morphological	ADJ
aiti-13516	122	10	operation	operation	NOUN
aiti-13516	122	11	can	can	AUX
aiti-13516	122	12	be	be	AUX
aiti-13516	122	13	ascertained	ascertain	VERB
aiti-13516	122	14	by	by	ADP
aiti-13516	122	15	juxtaposing	juxtapose	VERB
aiti-13516	122	16	the	the	DET
aiti-13516	122	17	pixels	pixel	NOUN
aiti-13516	122	18	in	in	ADP
aiti-13516	122	19	the	the	DET
aiti-13516	122	20	input	input	NOUN
aiti-13516	122	21	image	image	NOUN
aiti-13516	122	22	[	[	X
aiti-13516	122	23	19	19	NUM
aiti-13516	122	24	]	]	PUNCT
aiti-13516	122	25	.	.	PUNCT
aiti-13516	123	1	the	the	DET
aiti-13516	123	2	process	process	NOUN
aiti-13516	123	3	is	be	AUX
aiti-13516	123	4	depicted	depict	VERB
aiti-13516	123	5	in	in	ADP
aiti-13516	123	6	:	:	PUNCT
aiti-13516	123	7	advances	advance	NOUN
aiti-13516	123	8	in	in	ADP
aiti-13516	123	9	technology	technology	NOUN
aiti-13516	123	10	innovation	innovation	NOUN
aiti-13516	123	11	,	,	PUNCT
aiti-13516	123	12	vol	vol	NOUN
aiti-13516	123	13	.	.	PROPN
aiti-13516	124	1	9	9	NUM
aiti-13516	124	2	,	,	PUNCT
aiti-13516	124	3	no	no	INTJ
aiti-13516	124	4	.	.	NOUN
aiti-13516	124	5	3	3	NUM
aiti-13516	124	6	,	,	PUNCT
aiti-13516	124	7	2024	2024	NUM
aiti-13516	124	8	,	,	PUNCT
aiti-13516	124	9	pp	pp	ADV
aiti-13516	124	10	.	.	PUNCT
aiti-13516	125	1	197	197	NUM
aiti-13516	125	2	-	-	SYM
aiti-13516	125	3	209	209	NUM
aiti-13516	125	4	201	201	NUM
aiti-13516	125	5	=	=	SYM
aiti-13516	125	6	×z	×z	ADP
aiti-13516	125	7	z	z	NOUN
aiti-13516	125	8	s	s	X
aiti-13516	125	9	(	(	PUNCT
aiti-13516	125	10	4	4	NUM
aiti-13516	125	11	)	)	PUNCT
aiti-13516	125	12	where	where	SCONJ
aiti-13516	125	13	z	z	NOUN
aiti-13516	125	14	is	be	AUX
aiti-13516	125	15	the	the	DET
aiti-13516	125	16	new	new	ADJ
aiti-13516	125	17	image	image	NOUN
aiti-13516	125	18	,	,	PUNCT
aiti-13516	125	19	z	z	PROPN
aiti-13516	125	20	is	be	AUX
aiti-13516	125	21	the	the	DET
aiti-13516	125	22	image	image	NOUN
aiti-13516	125	23	,	,	PUNCT
aiti-13516	125	24	and	and	CCONJ
aiti-13516	125	25	s	s	VERB
aiti-13516	125	26	is	be	AUX
aiti-13516	125	27	the	the	DET
aiti-13516	125	28	scale	scale	NOUN
aiti-13516	125	29	factor	factor	NOUN
aiti-13516	125	30	(	(	PUNCT
aiti-13516	125	31	s	s	X
aiti-13516	125	32	>	>	X
aiti-13516	125	33	0	0	NUM
aiti-13516	125	34	)	)	PUNCT
aiti-13516	125	35	alternatively	alternatively	ADV
aiti-13516	125	36	,	,	PUNCT
aiti-13516	125	37	given	give	VERB
aiti-13516	125	38	that	that	SCONJ
aiti-13516	125	39	lengths	length	NOUN
aiti-13516	125	40	are	be	AUX
aiti-13516	125	41	cognitively	cognitively	ADV
aiti-13516	125	42	positive	positive	ADJ
aiti-13516	125	43	,	,	PUNCT
aiti-13516	125	44	the	the	DET
aiti-13516	125	45	value	value	NOUN
aiti-13516	125	46	of	of	ADP
aiti-13516	125	47	the	the	DET
aiti-13516	125	48	scaling	scaling	ADJ
aiti-13516	125	49	factor	factor	NOUN
aiti-13516	125	50	will	will	AUX
aiti-13516	125	51	be	be	AUX
aiti-13516	125	52	multiplied	multiply	VERB
aiti-13516	125	53	after	after	ADP
aiti-13516	125	54	rendering	render	VERB
aiti-13516	125	55	as	as	ADP
aiti-13516	125	56	a	a	DET
aiti-13516	125	57	modulus	modulus	NOUN
aiti-13516	125	58	.	.	PUNCT
aiti-13516	126	1	in	in	ADP
aiti-13516	126	2	the	the	DET
aiti-13516	126	3	suggested	suggest	VERB
aiti-13516	126	4	study	study	NOUN
aiti-13516	126	5	,	,	PUNCT
aiti-13516	126	6	dilation	dilation	NOUN
aiti-13516	126	7	is	be	AUX
aiti-13516	126	8	to	to	PART
aiti-13516	126	9	gradually	gradually	ADV
aiti-13516	126	10	enlarge	enlarge	VERB
aiti-13516	126	11	the	the	DET
aiti-13516	126	12	borders	border	NOUN
aiti-13516	126	13	of	of	ADP
aiti-13516	126	14	the	the	DET
aiti-13516	126	15	foreground	foreground	NOUN
aiti-13516	126	16	pixel	pixel	PROPN
aiti-13516	126	17	regions	region	NOUN
aiti-13516	126	18	to	to	PART
aiti-13516	126	19	identify	identify	VERB
aiti-13516	126	20	a	a	DET
aiti-13516	126	21	broad	broad	ADJ
aiti-13516	126	22	space	space	NOUN
aiti-13516	126	23	in	in	ADP
aiti-13516	126	24	the	the	DET
aiti-13516	126	25	images	image	NOUN
aiti-13516	126	26	.	.	PUNCT
aiti-13516	127	1	therefore	therefore	ADV
aiti-13516	127	2	,	,	PUNCT
aiti-13516	127	3	the	the	DET
aiti-13516	127	4	area	area	NOUN
aiti-13516	127	5	of	of	ADP
aiti-13516	127	6	foreground	foreground	NOUN
aiti-13516	127	7	pixels	pixel	NOUN
aiti-13516	127	8	expands	expand	VERB
aiti-13516	127	9	while	while	SCONJ
aiti-13516	127	10	corresponding	correspond	VERB
aiti-13516	127	11	gaps	gap	NOUN
aiti-13516	127	12	are	be	AUX
aiti-13516	127	13	proximate	proximate	NOUN
aiti-13516	127	14	to	to	ADP
aiti-13516	127	15	the	the	DET
aiti-13516	127	16	features	feature	NOUN
aiti-13516	127	17	of	of	ADP
aiti-13516	127	18	the	the	DET
aiti-13516	127	19	image	image	NOUN
aiti-13516	127	20	[	[	X
aiti-13516	127	21	17	17	NUM
aiti-13516	127	22	]	]	PUNCT
aiti-13516	127	23	.	.	PUNCT
aiti-13516	128	1	morphology	morphology	NOUN
aiti-13516	128	2	preponderantly	preponderantly	ADV
aiti-13516	128	3	requires	require	VERB
aiti-13516	128	4	ascertaining	ascertain	VERB
aiti-13516	128	5	available	available	ADJ
aiti-13516	128	6	design	design	NOUN
aiti-13516	128	7	models	model	NOUN
aiti-13516	128	8	,	,	PUNCT
aiti-13516	128	9	whether	whether	SCONJ
aiti-13516	128	10	existing	exist	VERB
aiti-13516	128	11	or	or	CCONJ
aiti-13516	128	12	nascent	nascent	NOUN
aiti-13516	128	13	,	,	PUNCT
aiti-13516	128	14	to	to	PART
aiti-13516	128	15	establish	establish	VERB
aiti-13516	128	16	the	the	DET
aiti-13516	128	17	topological	topological	ADJ
aiti-13516	128	18	structure	structure	NOUN
aiti-13516	128	19	with	with	ADP
aiti-13516	128	20	certain	certain	ADJ
aiti-13516	128	21	specifications	specification	NOUN
aiti-13516	128	22	.	.	PUNCT
aiti-13516	129	1	furthermore	furthermore	ADV
aiti-13516	129	2	,	,	PUNCT
aiti-13516	129	3	this	this	DET
aiti-13516	129	4	step	step	NOUN
aiti-13516	129	5	purposively	purposively	ADV
aiti-13516	129	6	proceeds	proceed	VERB
aiti-13516	129	7	to	to	ADP
aiti-13516	129	8	opting	opt	VERB
aiti-13516	129	9	several	several	ADJ
aiti-13516	129	10	models	model	NOUN
aiti-13516	129	11	for	for	ADP
aiti-13516	129	12	investigating	investigate	VERB
aiti-13516	129	13	the	the	DET
aiti-13516	129	14	equivalent	equivalent	ADJ
aiti-13516	129	15	mechanism	mechanism	NOUN
aiti-13516	129	16	therein	therein	ADV
aiti-13516	129	17	concerning	concern	VERB
aiti-13516	129	18	the	the	DET
aiti-13516	129	19	skeleton	skeleton	NOUN
aiti-13516	129	20	and	and	CCONJ
aiti-13516	129	21	kinematic	kinematic	ADJ
aiti-13516	129	22	chain	chain	NOUN
aiti-13516	129	23	.	.	PUNCT
aiti-13516	130	1	consequently	consequently	ADV
aiti-13516	130	2	,	,	PUNCT
aiti-13516	130	3	new	new	ADJ
aiti-13516	130	4	designs	design	NOUN
aiti-13516	130	5	can	can	AUX
aiti-13516	130	6	be	be	AUX
aiti-13516	130	7	developed	develop	VERB
aiti-13516	130	8	.	.	PUNCT
aiti-13516	131	1	2.5	2.5	NUM
aiti-13516	131	2	.	.	PUNCT
aiti-13516	132	1	convolutional	convolutional	ADJ
aiti-13516	132	2	neural	neural	ADJ
aiti-13516	132	3	network	network	NOUN
aiti-13516	132	4	an	an	DET
aiti-13516	132	5	artificial	artificial	ADJ
aiti-13516	132	6	intelligence	intelligence	NOUN
aiti-13516	132	7	class	class	NOUN
aiti-13516	132	8	,	,	PUNCT
aiti-13516	132	9	which	which	PRON
aiti-13516	132	10	is	be	AUX
aiti-13516	132	11	also	also	ADV
aiti-13516	132	12	known	know	VERB
aiti-13516	132	13	as	as	ADP
aiti-13516	132	14	deep	deep	ADJ
aiti-13516	132	15	cnns	cnn	NOUN
aiti-13516	132	16	,	,	PUNCT
aiti-13516	132	17	can	can	AUX
aiti-13516	132	18	be	be	AUX
aiti-13516	132	19	used	use	VERB
aiti-13516	132	20	in	in	ADP
aiti-13516	132	21	sundry	sundry	ADJ
aiti-13516	132	22	fields	field	NOUN
aiti-13516	132	23	.	.	PUNCT
aiti-13516	133	1	meanwhile	meanwhile	ADV
aiti-13516	133	2	,	,	PUNCT
aiti-13516	133	3	deep	deep	ADJ
aiti-13516	133	4	learning	learning	NOUN
aiti-13516	133	5	picks	pick	VERB
aiti-13516	133	6	up	up	ADP
aiti-13516	133	7	features	feature	NOUN
aiti-13516	133	8	per	per	ADP
aiti-13516	133	9	se	se	X
aiti-13516	133	10	.	.	PUNCT
aiti-13516	134	1	therefore	therefore	ADV
aiti-13516	134	2	,	,	PUNCT
aiti-13516	134	3	the	the	DET
aiti-13516	134	4	primary	primary	ADJ
aiti-13516	134	5	objective	objective	NOUN
aiti-13516	134	6	is	be	AUX
aiti-13516	134	7	to	to	PART
aiti-13516	134	8	enable	enable	VERB
aiti-13516	134	9	a	a	DET
aiti-13516	134	10	thorough	thorough	ADJ
aiti-13516	134	11	comprehension	comprehension	NOUN
aiti-13516	134	12	of	of	ADP
aiti-13516	134	13	the	the	DET
aiti-13516	134	14	material	material	NOUN
aiti-13516	134	15	without	without	ADP
aiti-13516	134	16	requiring	require	VERB
aiti-13516	134	17	any	any	DET
aiti-13516	134	18	manually	manually	ADV
aiti-13516	134	19	created	create	VERB
aiti-13516	134	20	feature	feature	NOUN
aiti-13516	134	21	extraction	extraction	NOUN
aiti-13516	134	22	[	[	X
aiti-13516	134	23	12	12	NUM
aiti-13516	134	24	]	]	PUNCT
aiti-13516	134	25	.	.	PUNCT
aiti-13516	135	1	cnn	cnn	PROPN
aiti-13516	135	2	is	be	AUX
aiti-13516	135	3	typically	typically	ADV
aiti-13516	135	4	employed	employ	VERB
aiti-13516	135	5	in	in	ADP
aiti-13516	135	6	classification	classification	NOUN
aiti-13516	135	7	or	or	CCONJ
aiti-13516	135	8	image	image	NOUN
aiti-13516	135	9	recognition	recognition	NOUN
aiti-13516	135	10	.	.	PUNCT
aiti-13516	136	1	historically	historically	ADV
aiti-13516	136	2	,	,	PUNCT
aiti-13516	136	3	this	this	DET
aiti-13516	136	4	method	method	NOUN
aiti-13516	136	5	was	be	AUX
aiti-13516	136	6	created	create	VERB
aiti-13516	136	7	in	in	ADP
aiti-13516	136	8	the	the	DET
aiti-13516	136	9	1980s	1980	NOUN
aiti-13516	136	10	,	,	PUNCT
aiti-13516	136	11	whereas	whereas	SCONJ
aiti-13516	136	12	it	it	PRON
aiti-13516	136	13	was	be	AUX
aiti-13516	136	14	reintroduced	reintroduce	VERB
aiti-13516	136	15	in	in	ADP
aiti-13516	136	16	2012	2012	NUM
aiti-13516	136	17	.	.	PUNCT
aiti-13516	137	1	currently	currently	ADV
aiti-13516	137	2	,	,	PUNCT
aiti-13516	137	3	moreover	moreover	ADV
aiti-13516	137	4	,	,	PUNCT
aiti-13516	137	5	cnn	cnn	PROPN
aiti-13516	137	6	is	be	AUX
aiti-13516	137	7	widely	widely	ADV
aiti-13516	137	8	adopted	adopt	VERB
aiti-13516	137	9	in	in	ADP
aiti-13516	137	10	computer	computer	NOUN
aiti-13516	137	11	science	science	NOUN
aiti-13516	137	12	.	.	PUNCT
aiti-13516	138	1	in	in	ADP
aiti-13516	138	2	addition	addition	NOUN
aiti-13516	138	3	to	to	ADP
aiti-13516	138	4	the	the	DET
aiti-13516	138	5	presence	presence	NOUN
aiti-13516	138	6	of	of	ADP
aiti-13516	138	7	multiple	multiple	ADJ
aiti-13516	138	8	hidden	hide	VERB
aiti-13516	138	9	layers	layer	NOUN
aiti-13516	138	10	,	,	PUNCT
aiti-13516	138	11	cnn	cnn	PROPN
aiti-13516	138	12	mimics	mimic	VERB
aiti-13516	138	13	the	the	DET
aiti-13516	138	14	cerebral	cerebral	ADJ
aiti-13516	138	15	response	response	NOUN
aiti-13516	138	16	by	by	ADP
aiti-13516	138	17	detecting	detect	VERB
aiti-13516	138	18	visuals	visual	NOUN
aiti-13516	138	19	.	.	PUNCT
aiti-13516	139	1	by	by	ADP
aiti-13516	139	2	using	use	VERB
aiti-13516	139	3	several	several	ADJ
aiti-13516	139	4	completely	completely	ADV
aiti-13516	139	5	linked	link	VERB
aiti-13516	139	6	layers	layer	NOUN
aiti-13516	139	7	for	for	ADP
aiti-13516	139	8	classification	classification	NOUN
aiti-13516	139	9	and	and	CCONJ
aiti-13516	139	10	locally	locally	ADV
aiti-13516	139	11	connected	connect	VERB
aiti-13516	139	12	layers	layer	NOUN
aiti-13516	139	13	with	with	ADP
aiti-13516	139	14	automatic	automatic	ADJ
aiti-13516	139	15	feature	feature	NOUN
aiti-13516	139	16	identification	identification	NOUN
aiti-13516	139	17	,	,	PUNCT
aiti-13516	139	18	cnn	cnn	PROPN
aiti-13516	139	19	can	can	AUX
aiti-13516	139	20	automatically	automatically	ADV
aiti-13516	139	21	extract	extract	VERB
aiti-13516	139	22	features	feature	NOUN
aiti-13516	139	23	[	[	X
aiti-13516	139	24	20	20	NUM
aiti-13516	139	25	]	]	PUNCT
aiti-13516	139	26	.	.	PUNCT
aiti-13516	140	1	specialized	specialized	ADJ
aiti-13516	140	2	neural	neural	ADJ
aiti-13516	140	3	network	network	NOUN
aiti-13516	140	4	types	type	NOUN
aiti-13516	140	5	comprise	comprise	VERB
aiti-13516	140	6	the	the	DET
aiti-13516	140	7	extraction	extraction	NOUN
aiti-13516	140	8	feature	feature	NOUN
aiti-13516	140	9	of	of	ADP
aiti-13516	140	10	neural	neural	ADJ
aiti-13516	140	11	networks	network	NOUN
aiti-13516	140	12	based	base	VERB
aiti-13516	140	13	on	on	ADP
aiti-13516	140	14	weight	weight	NOUN
aiti-13516	140	15	updates	update	NOUN
aiti-13516	140	16	and	and	CCONJ
aiti-13516	140	17	training	training	NOUN
aiti-13516	140	18	.	.	PUNCT
aiti-13516	141	1	as	as	SCONJ
aiti-13516	141	2	stated	state	VERB
aiti-13516	141	3	above	above	ADV
aiti-13516	141	4	,	,	PUNCT
aiti-13516	141	5	cnn	cnn	PROPN
aiti-13516	141	6	transforms	transform	VERB
aiti-13516	141	7	the	the	DET
aiti-13516	141	8	manual	manual	ADJ
aiti-13516	141	9	feature	feature	NOUN
aiti-13516	141	10	extraction	extraction	NOUN
aiti-13516	141	11	processes	process	NOUN
aiti-13516	141	12	into	into	ADP
aiti-13516	141	13	an	an	DET
aiti-13516	141	14	automated	automate	VERB
aiti-13516	141	15	system	system	NOUN
aiti-13516	141	16	.	.	PUNCT
aiti-13516	142	1	hence	hence	ADV
aiti-13516	142	2	,	,	PUNCT
aiti-13516	142	3	each	each	DET
aiti-13516	142	4	layer	layer	NOUN
aiti-13516	142	5	in	in	ADP
aiti-13516	142	6	cnn	cnn	PROPN
aiti-13516	142	7	operates	operate	VERB
aiti-13516	142	8	purposively	purposively	ADV
aiti-13516	142	9	and	and	CCONJ
aiti-13516	142	10	distinctly	distinctly	ADV
aiti-13516	142	11	,	,	PUNCT
aiti-13516	142	12	while	while	SCONJ
aiti-13516	142	13	the	the	DET
aiti-13516	142	14	network	network	NOUN
aiti-13516	142	15	is	be	AUX
aiti-13516	142	16	composed	compose	VERB
aiti-13516	142	17	of	of	ADP
aiti-13516	142	18	several	several	ADJ
aiti-13516	142	19	layers	layer	NOUN
aiti-13516	142	20	[	[	X
aiti-13516	142	21	21	21	NUM
aiti-13516	142	22	]	]	PUNCT
aiti-13516	142	23	.	.	PUNCT
aiti-13516	143	1	the	the	DET
aiti-13516	143	2	convolutional	convolutional	ADJ
aiti-13516	143	3	layer	layer	NOUN
aiti-13516	143	4	(	(	PUNCT
aiti-13516	143	5	convo	convo	NOUN
aiti-13516	143	6	)	)	PUNCT
aiti-13516	143	7	is	be	AUX
aiti-13516	143	8	a	a	DET
aiti-13516	143	9	collection	collection	NOUN
aiti-13516	143	10	of	of	ADP
aiti-13516	143	11	learnable	learnable	ADJ
aiti-13516	143	12	filters	filter	NOUN
aiti-13516	143	13	with	with	ADP
aiti-13516	143	14	a	a	DET
aiti-13516	143	15	set	set	NOUN
aiti-13516	143	16	of	of	ADP
aiti-13516	143	17	weights	weight	NOUN
aiti-13516	143	18	combined	combine	VERB
aiti-13516	143	19	.	.	PUNCT
aiti-13516	144	1	the	the	DET
aiti-13516	144	2	weight	weight	NOUN
aiti-13516	144	3	values	value	NOUN
aiti-13516	144	4	were	be	AUX
aiti-13516	144	5	chosen	choose	VERB
aiti-13516	144	6	at	at	ADP
aiti-13516	144	7	random	random	ADJ
aiti-13516	144	8	and	and	CCONJ
aiti-13516	144	9	learned	learn	VERB
aiti-13516	144	10	via	via	ADP
aiti-13516	144	11	the	the	DET
aiti-13516	144	12	backpropagation	backpropagation	NOUN
aiti-13516	144	13	approach	approach	NOUN
aiti-13516	144	14	.	.	PUNCT
aiti-13516	145	1	the	the	DET
aiti-13516	145	2	features	feature	NOUN
aiti-13516	145	3	map	map	NOUN
aiti-13516	145	4	,	,	PUNCT
aiti-13516	145	5	which	which	PRON
aiti-13516	145	6	filters	filter	VERB
aiti-13516	145	7	the	the	DET
aiti-13516	145	8	entire	entire	ADJ
aiti-13516	145	9	image	image	NOUN
aiti-13516	145	10	with	with	ADP
aiti-13516	145	11	the	the	DET
aiti-13516	145	12	learned	learn	VERB
aiti-13516	145	13	weight	weight	NOUN
aiti-13516	145	14	[	[	X
aiti-13516	145	15	22	22	NUM
aiti-13516	145	16	]	]	PUNCT
aiti-13516	145	17	,	,	PUNCT
aiti-13516	145	18	identifies	identify	VERB
aiti-13516	145	19	the	the	DET
aiti-13516	145	20	unique	unique	ADJ
aiti-13516	145	21	features	feature	NOUN
aiti-13516	145	22	in	in	ADP
aiti-13516	145	23	the	the	DET
aiti-13516	145	24	initial	initial	ADJ
aiti-13516	145	25	input	input	NOUN
aiti-13516	145	26	image	image	NOUN
aiti-13516	145	27	and	and	CCONJ
aiti-13516	145	28	is	be	AUX
aiti-13516	145	29	calculated	calculate	VERB
aiti-13516	145	30	using	use	VERB
aiti-13516	145	31	the	the	DET
aiti-13516	145	32	following	following	NOUN
aiti-13516	145	33	,	,	PUNCT
aiti-13516	146	1	1=	1=	X
aiti-13516	146	2			NOUN
aiti-13516	146	3			NOUN
aiti-13516	146	4	=	=	PUNCT
aiti-13516	146	5	×	×	PROPN
aiti-13516	147	1	+	+	ADV
aiti-13516	147	2			PROPN
aiti-13516	147	3			CCONJ
aiti-13516	147	4			ADJ
aiti-13516	147	5			NOUN
aiti-13516	147	6	s	s	NOUN
aiti-13516	147	7	s	s	NOUN
aiti-13516	147	8	s	s	NOUN
aiti-13516	147	9	r	r	NOUN
aiti-13516	148	1	i	i	PRON
aiti-13516	149	1	i	i	PRON
aiti-13516	149	2	t	t	X
aiti-13516	150	1	z	z	NOUN
aiti-13516	150	2	f	f	PROPN
aiti-13516	150	3	w	w	PROPN
aiti-13516	150	4	x	x	SYM
aiti-13516	150	5	b	b	PROPN
aiti-13516	150	6	(	(	PUNCT
aiti-13516	150	7	5	5	NUM
aiti-13516	150	8	)	)	PUNCT
aiti-13516	150	9	where	where	SCONJ
aiti-13516	150	10	f	f	PROPN
aiti-13516	150	11	is	be	AUX
aiti-13516	150	12	the	the	DET
aiti-13516	150	13	activation	activation	NOUN
aiti-13516	150	14	function	function	NOUN
aiti-13516	150	15	,	,	PUNCT
aiti-13516	150	16	b	b	PROPN
aiti-13516	150	17	is	be	AUX
aiti-13516	150	18	a	a	DET
aiti-13516	150	19	trainable	trainable	ADJ
aiti-13516	150	20	bias	bias	NOUN
aiti-13516	150	21	parameter	parameter	NOUN
aiti-13516	150	22	,	,	PUNCT
aiti-13516	150	23	and	and	CCONJ
aiti-13516	150	24	�	�	PROPN
aiti-13516	150	25	�	�	PROPN
aiti-13516	150	26	×	×	PROPN
aiti-13516	150	27	�	�	PROPN
aiti-13516	150	28	is	be	AUX
aiti-13516	150	29	a	a	DET
aiti-13516	150	30	two	two	NUM
aiti-13516	150	31	-	-	PUNCT
aiti-13516	150	32	dimensional	dimensional	ADJ
aiti-13516	150	33	discrete	discrete	ADJ
aiti-13516	150	34	convolution	convolution	NOUN
aiti-13516	150	35	operator	operator	NOUN
aiti-13516	150	36	[	[	X
aiti-13516	150	37	23	23	NUM
aiti-13516	150	38	]	]	PUNCT
aiti-13516	150	39	.	.	PUNCT
aiti-13516	151	1	the	the	DET
aiti-13516	151	2	common	common	ADJ
aiti-13516	151	3	activation	activation	NOUN
aiti-13516	151	4	function	function	NOUN
aiti-13516	151	5	used	use	VERB
aiti-13516	151	6	with	with	ADP
aiti-13516	151	7	cnn	cnn	PROPN
aiti-13516	151	8	is	be	AUX
aiti-13516	151	9	the	the	DET
aiti-13516	151	10	rectified	rectified	ADJ
aiti-13516	151	11	linear	linear	NOUN
aiti-13516	151	12	unit	unit	NOUN
aiti-13516	151	13	(	(	PUNCT
aiti-13516	151	14	relu	relu	NOUN
aiti-13516	151	15	)	)	PUNCT
aiti-13516	151	16	.	.	PUNCT
aiti-13516	152	1	the	the	DET
aiti-13516	152	2	layer	layer	NOUN
aiti-13516	152	3	for	for	ADP
aiti-13516	152	4	pooling	pool	VERB
aiti-13516	152	5	(	(	PUNCT
aiti-13516	152	6	pool	pool	NOUN
aiti-13516	152	7	)	)	PUNCT
aiti-13516	152	8	is	be	AUX
aiti-13516	152	9	the	the	DET
aiti-13516	152	10	max	max	PROPN
aiti-13516	152	11	-	-	PUNCT
aiti-13516	152	12	pooling	pool	VERB
aiti-13516	152	13	layer	layer	NOUN
aiti-13516	152	14	determining	determine	VERB
aiti-13516	152	15	the	the	DET
aiti-13516	152	16	maximum	maximum	ADJ
aiti-13516	152	17	value	value	NOUN
aiti-13516	152	18	of	of	ADP
aiti-13516	152	19	a	a	DET
aiti-13516	152	20	local	local	ADJ
aiti-13516	152	21	patch	patch	NOUN
aiti-13516	152	22	(	(	PUNCT
aiti-13516	152	23	2	2	NUM
aiti-13516	152	24	×	×	NOUN
aiti-13516	152	25	2	2	NUM
aiti-13516	152	26	or	or	CCONJ
aiti-13516	152	27	3	3	NUM
aiti-13516	152	28	×	×	NOUN
aiti-13516	152	29	3	3	NUM
aiti-13516	152	30	)	)	PUNCT
aiti-13516	152	31	of	of	ADP
aiti-13516	152	32	the	the	DET
aiti-13516	152	33	convolutional	convolutional	ADJ
aiti-13516	152	34	feature	feature	NOUN
aiti-13516	152	35	map	map	NOUN
aiti-13516	152	36	output	output	NOUN
aiti-13516	152	37	units	unit	NOUN
aiti-13516	152	38	.	.	PUNCT
aiti-13516	153	1	the	the	DET
aiti-13516	153	2	process	process	NOUN
aiti-13516	153	3	of	of	ADP
aiti-13516	153	4	max	max	PROPN
aiti-13516	153	5	pooling	pooling	NOUN
aiti-13516	153	6	is	be	AUX
aiti-13516	153	7	shown	show	VERB
aiti-13516	153	8	as	as	ADP
aiti-13516	153	9	:	:	PUNCT
aiti-13516	153	10	(	(	PUNCT
aiti-13516	153	11	)	)	PUNCT
aiti-13516	153	12	0	0	NUM
aiti-13516	153	13	,	,	PUNCT
aiti-13516	153	14	,	,	PUNCT
aiti-13516	153	15	,	,	PUNCT
aiti-13516	153	16	,	,	PUNCT
aiti-13516	153	17	,	,	PUNCT
aiti-13516	153	18	max	max	PROPN
aiti-13516	153	19	≤	≤	X
aiti-13516	153	20	<	<	X
aiti-13516	154	1	+	+	PUNCT
aiti-13516	155	1	+	+	PUNCT
aiti-13516	155	2	=	=	VERB
aiti-13516	155	3	i	i	PRON
aiti-13516	155	4	m	m	VERB
aiti-13516	155	5	n	n	VERB
aiti-13516	155	6	sj	sj	INTJ
aiti-13516	155	7	k	k	PROPN
aiti-13516	155	8	j	j	PROPN
aiti-13516	155	9	s	s	PART
aiti-13516	155	10	m	m	VERB
aiti-13516	155	11	k	k	PROPN
aiti-13516	155	12	s	s	PROPN
aiti-13516	155	13	ny	ny	PROPN
aiti-13516	155	14	x	x	X
aiti-13516	155	15	(	(	PUNCT
aiti-13516	155	16	6	6	NUM
aiti-13516	155	17	)	)	PUNCT
aiti-13516	155	18	the	the	DET
aiti-13516	155	19	�	�	PROPN
aiti-13516	155	20	�	�	PROPN
aiti-13516	155	21	,	,	PUNCT
aiti-13516	155	22	�	�	PROPN
aiti-13516	155	23	which	which	PRON
aiti-13516	155	24	is	be	AUX
aiti-13516	155	25	computed	compute	VERB
aiti-13516	155	26	over	over	ADP
aiti-13516	155	27	a	a	DET
aiti-13516	155	28	(	(	PUNCT
aiti-13516	155	29	s	s	PROPN
aiti-13516	155	30	×	×	PROPN
aiti-13516	155	31	s	s	PART
aiti-13516	155	32	)	)	PUNCT
aiti-13516	155	33	non	non	ADJ
aiti-13516	155	34	-	-	ADJ
aiti-13516	155	35	overlapped	overlapped	ADJ
aiti-13516	155	36	local	local	ADJ
aiti-13516	155	37	area	area	NOUN
aiti-13516	155	38	in	in	ADP
aiti-13516	155	39	the	the	DET
aiti-13516	155	40	(	(	PUNCT
aiti-13516	155	41	ith	ith	PROPN
aiti-13516	155	42	)	)	PUNCT
aiti-13516	155	43	input	input	NOUN
aiti-13516	155	44	map	map	NOUN
aiti-13516	155	45	,	,	PUNCT
aiti-13516	155	46	represents	represent	VERB
aiti-13516	155	47	a	a	DET
aiti-13516	155	48	neuron	neuron	NOUN
aiti-13516	155	49	in	in	ADP
aiti-13516	155	50	the	the	DET
aiti-13516	155	51	(	(	PUNCT
aiti-13516	155	52	ith	ith	PROPN
aiti-13516	155	53	)	)	PUNCT
aiti-13516	155	54	output	output	NOUN
aiti-13516	155	55	activation	activation	NOUN
aiti-13516	155	56	map	map	NOUN
aiti-13516	155	57	.	.	PUNCT
aiti-13516	156	1	a	a	DET
aiti-13516	156	2	fully	fully	ADV
aiti-13516	156	3	connected	connect	VERB
aiti-13516	156	4	(	(	PUNCT
aiti-13516	156	5	fc	fc	INTJ
aiti-13516	156	6	)	)	PUNCT
aiti-13516	156	7	layer	layer	NOUN
aiti-13516	156	8	,	,	PUNCT
aiti-13516	156	9	similar	similar	ADJ
aiti-13516	156	10	to	to	ADP
aiti-13516	156	11	a	a	DET
aiti-13516	156	12	neural	neural	ADJ
aiti-13516	156	13	network	network	NOUN
aiti-13516	156	14	,	,	PUNCT
aiti-13516	156	15	is	be	AUX
aiti-13516	156	16	the	the	DET
aiti-13516	156	17	output	output	NOUN
aiti-13516	156	18	of	of	ADP
aiti-13516	156	19	the	the	DET
aiti-13516	156	20	last	last	ADJ
aiti-13516	156	21	pooling	pooling	NOUN
aiti-13516	156	22	or	or	CCONJ
aiti-13516	156	23	convolutional	convolutional	ADJ
aiti-13516	156	24	layers	layer	NOUN
aiti-13516	156	25	fed	feed	VERB
aiti-13516	156	26	into	into	ADP
aiti-13516	156	27	fully	fully	ADV
aiti-13516	156	28	connected	connect	VERB
aiti-13516	156	29	layers	layer	NOUN
aiti-13516	156	30	(	(	PUNCT
aiti-13516	156	31	fc	fc	INTJ
aiti-13516	156	32	)	)	PUNCT
aiti-13516	156	33	.	.	PUNCT
aiti-13516	157	1	the	the	DET
aiti-13516	157	2	final	final	ADJ
aiti-13516	157	3	layer	layer	NOUN
aiti-13516	157	4	of	of	ADP
aiti-13516	157	5	a	a	DET
aiti-13516	157	6	cnn	cnn	PROPN
aiti-13516	157	7	,	,	PUNCT
aiti-13516	157	8	known	know	VERB
aiti-13516	157	9	as	as	ADP
aiti-13516	157	10	the	the	DET
aiti-13516	157	11	“	"	PUNCT
aiti-13516	157	12	softmax	softmax	NOUN
aiti-13516	157	13	layer	layer	NOUN
aiti-13516	157	14	,	,	PUNCT
aiti-13516	157	15	”	"	PUNCT
aiti-13516	157	16	is	be	AUX
aiti-13516	157	17	used	use	VERB
aiti-13516	157	18	to	to	PART
aiti-13516	157	19	categorize	categorize	VERB
aiti-13516	157	20	the	the	DET
aiti-13516	157	21	features	feature	NOUN
aiti-13516	157	22	that	that	PRON
aiti-13516	157	23	were	be	AUX
aiti-13516	157	24	retrieved	retrieve	VERB
aiti-13516	157	25	from	from	ADP
aiti-13516	157	26	earlier	early	ADJ
aiti-13516	157	27	layers	layer	NOUN
aiti-13516	157	28	into	into	ADP
aiti-13516	157	29	n	n	PROPN
aiti-13516	157	30	classes	class	NOUN
aiti-13516	157	31	.	.	PUNCT
aiti-13516	158	1	the	the	DET
aiti-13516	158	2	class	class	NOUN
aiti-13516	158	3	membership	membership	NOUN
aiti-13516	158	4	probabilities	probability	NOUN
aiti-13516	158	5	are	be	AUX
aiti-13516	158	6	frequently	frequently	ADV
aiti-13516	158	7	output	output	ADJ
aiti-13516	158	8	,	,	PUNCT
aiti-13516	158	9	transforming	transform	VERB
aiti-13516	158	10	logit	logit	PROPN
aiti-13516	158	11	numbers	number	NOUN
aiti-13516	158	12	into	into	ADP
aiti-13516	158	13	summative	summative	ADJ
aiti-13516	158	14	probabilities	probability	NOUN
aiti-13516	158	15	.	.	PUNCT
aiti-13516	159	1	the	the	DET
aiti-13516	159	2	softmax	softmax	NOUN
aiti-13516	159	3	operation	operation	NOUN
aiti-13516	159	4	can	can	AUX
aiti-13516	159	5	be	be	AUX
aiti-13516	159	6	computed	compute	VERB
aiti-13516	159	7	,	,	PUNCT
aiti-13516	159	8	as	as	SCONJ
aiti-13516	159	9	shown	show	VERB
aiti-13516	159	10	in	in	ADP
aiti-13516	159	11	:	:	PUNCT
aiti-13516	159	12	softmax	softmax	NOUN
aiti-13516	159	13	(	(	PUNCT
aiti-13516	159	14	)	)	PUNCT
aiti-13516	160	1	=	=	SYM
aiti-13516	160	2			X
aiti-13516	161	1	i	i	INTJ
aiti-13516	161	2	yi	yi	VERB
aiti-13516	162	1	y	y	INTJ
aiti-13516	163	1	i	i	NOUN
aiti-13516	163	2	e	e	PROPN
aiti-13516	163	3	e	e	VERB
aiti-13516	163	4	y	y	PROPN
aiti-13516	163	5	j	j	PROPN
aiti-13516	163	6	(	(	PUNCT
aiti-13516	163	7	7	7	NUM
aiti-13516	163	8	)	)	PUNCT
aiti-13516	163	9	202	202	NUM
aiti-13516	163	10	advances	advance	NOUN
aiti-13516	163	11	in	in	ADP
aiti-13516	163	12	technology	technology	NOUN
aiti-13516	163	13	innovation	innovation	NOUN
aiti-13516	163	14	,	,	PUNCT
aiti-13516	163	15	vol	vol	NOUN
aiti-13516	163	16	.	.	PROPN
aiti-13516	164	1	9	9	NUM
aiti-13516	164	2	,	,	PUNCT
aiti-13516	164	3	no	no	INTJ
aiti-13516	164	4	.	.	NOUN
aiti-13516	164	5	3	3	NUM
aiti-13516	164	6	,	,	PUNCT
aiti-13516	164	7	2024	2024	NUM
aiti-13516	164	8	,	,	PUNCT
aiti-13516	164	9	pp	pp	ADV
aiti-13516	164	10	.	.	PUNCT
aiti-13516	165	1	197	197	NUM
aiti-13516	165	2	-	-	SYM
aiti-13516	165	3	209	209	NUM
aiti-13516	165	4	3	3	NUM
aiti-13516	165	5	.	.	PUNCT
aiti-13516	165	6	proposed	propose	VERB
aiti-13516	165	7	iris	iris	NOUN
aiti-13516	165	8	recognition	recognition	PROPN
aiti-13516	165	9	scheme	scheme	NOUN
aiti-13516	165	10	this	this	DET
aiti-13516	165	11	section	section	NOUN
aiti-13516	165	12	proposes	propose	VERB
aiti-13516	165	13	an	an	DET
aiti-13516	165	14	ir	ir	NOUN
aiti-13516	165	15	scheme	scheme	NOUN
aiti-13516	165	16	that	that	PRON
aiti-13516	165	17	aims	aim	VERB
aiti-13516	165	18	to	to	PART
aiti-13516	165	19	address	address	VERB
aiti-13516	165	20	the	the	DET
aiti-13516	165	21	aforementioned	aforementioned	ADJ
aiti-13516	165	22	issues	issue	NOUN
aiti-13516	165	23	and	and	CCONJ
aiti-13516	165	24	achieve	achieve	VERB
aiti-13516	165	25	high	high	ADJ
aiti-13516	165	26	recognition	recognition	NOUN
aiti-13516	165	27	accuracy	accuracy	NOUN
aiti-13516	165	28	,	,	PUNCT
aiti-13516	165	29	benefiting	benefit	VERB
aiti-13516	165	30	from	from	ADP
aiti-13516	165	31	the	the	DET
aiti-13516	165	32	methods	method	NOUN
aiti-13516	165	33	that	that	PRON
aiti-13516	165	34	were	be	AUX
aiti-13516	165	35	explained	explain	VERB
aiti-13516	165	36	earlier	early	ADV
aiti-13516	165	37	.	.	PUNCT
aiti-13516	166	1	the	the	DET
aiti-13516	166	2	proposed	propose	VERB
aiti-13516	166	3	scheme	scheme	NOUN
aiti-13516	166	4	entails	entail	VERB
aiti-13516	166	5	two	two	NUM
aiti-13516	166	6	phases	phase	NOUN
aiti-13516	166	7	.	.	PUNCT
aiti-13516	167	1	the	the	DET
aiti-13516	167	2	first	first	ADJ
aiti-13516	167	3	phase	phase	NOUN
aiti-13516	167	4	is	be	AUX
aiti-13516	167	5	to	to	PART
aiti-13516	167	6	propose	propose	VERB
aiti-13516	167	7	a	a	DET
aiti-13516	167	8	segmentation	segmentation	NOUN
aiti-13516	167	9	algorithm	algorithm	NOUN
aiti-13516	167	10	including	include	VERB
aiti-13516	167	11	four	four	NUM
aiti-13516	167	12	steps	step	NOUN
aiti-13516	167	13	.	.	PUNCT
aiti-13516	168	1	the	the	DET
aiti-13516	168	2	second	second	ADJ
aiti-13516	168	3	phase	phase	NOUN
aiti-13516	168	4	is	be	AUX
aiti-13516	168	5	to	to	PART
aiti-13516	168	6	propose	propose	VERB
aiti-13516	168	7	an	an	DET
aiti-13516	168	8	ir	ir	PROPN
aiti-13516	168	9	method	method	NOUN
aiti-13516	168	10	.	.	PUNCT
aiti-13516	169	1	the	the	DET
aiti-13516	169	2	proposed	propose	VERB
aiti-13516	169	3	scheme	scheme	NOUN
aiti-13516	169	4	is	be	AUX
aiti-13516	169	5	enumerated	enumerate	VERB
aiti-13516	169	6	in	in	ADP
aiti-13516	169	7	the	the	DET
aiti-13516	169	8	following	follow	VERB
aiti-13516	169	9	sections	section	NOUN
aiti-13516	169	10	:	:	PUNCT
aiti-13516	169	11	3.1	3.1	NUM
aiti-13516	169	12	.	.	X
aiti-13516	169	13	iris	iris	NOUN
aiti-13516	169	14	segmentation	segmentation	NOUN
aiti-13516	169	15	algorithm	algorithm	NOUN
aiti-13516	169	16	in	in	ADP
aiti-13516	169	17	this	this	DET
aiti-13516	169	18	study	study	NOUN
aiti-13516	169	19	,	,	PUNCT
aiti-13516	169	20	a	a	DET
aiti-13516	169	21	state	state	NOUN
aiti-13516	169	22	-	-	PUNCT
aiti-13516	169	23	of	of	ADP
aiti-13516	169	24	-	-	PUNCT
aiti-13516	169	25	the	the	DET
aiti-13516	169	26	-	-	PUNCT
aiti-13516	169	27	art	art	NOUN
aiti-13516	169	28	iris	iris	NOUN
aiti-13516	169	29	segmentation	segmentation	NOUN
aiti-13516	169	30	algorithm	algorithm	NOUN
aiti-13516	169	31	has	have	AUX
aiti-13516	169	32	been	be	AUX
aiti-13516	169	33	proposed	propose	VERB
aiti-13516	169	34	to	to	PART
aiti-13516	169	35	address	address	VERB
aiti-13516	169	36	vibration	vibration	NOUN
aiti-13516	169	37	and	and	CCONJ
aiti-13516	169	38	occlusion	occlusion	NOUN
aiti-13516	169	39	from	from	ADP
aiti-13516	169	40	the	the	DET
aiti-13516	169	41	lashes	lash	NOUN
aiti-13516	169	42	and	and	CCONJ
aiti-13516	169	43	extract	extract	VERB
aiti-13516	169	44	the	the	DET
aiti-13516	169	45	roi	roi	NOUN
aiti-13516	169	46	of	of	ADP
aiti-13516	169	47	the	the	DET
aiti-13516	169	48	iris	iris	NOUN
aiti-13516	169	49	image	image	NOUN
aiti-13516	169	50	.	.	PUNCT
aiti-13516	170	1	the	the	DET
aiti-13516	170	2	segmentation	segmentation	NOUN
aiti-13516	170	3	algorithm	algorithm	NOUN
aiti-13516	170	4	has	have	VERB
aiti-13516	170	5	various	various	ADJ
aiti-13516	170	6	steps	step	NOUN
aiti-13516	170	7	which	which	PRON
aiti-13516	170	8	are	be	AUX
aiti-13516	170	9	shown	show	VERB
aiti-13516	170	10	in	in	ADP
aiti-13516	170	11	fig	fig	NOUN
aiti-13516	170	12	.	.	PUNCT
aiti-13516	170	13	2	2	NUM
aiti-13516	170	14	and	and	CCONJ
aiti-13516	170	15	explained	explain	VERB
aiti-13516	170	16	in	in	ADP
aiti-13516	170	17	the	the	DET
aiti-13516	170	18	following	follow	VERB
aiti-13516	170	19	sentences	sentence	NOUN
aiti-13516	170	20	.	.	PUNCT
aiti-13516	171	1	fig	fig	NOUN
aiti-13516	171	2	.	.	PUNCT
aiti-13516	172	1	2	2	NUM
aiti-13516	172	2	proposed	propose	VERB
aiti-13516	172	3	iris	iris	NOUN
aiti-13516	172	4	segmentation	segmentation	NOUN
aiti-13516	172	5	algorithm	algorithm	NOUN
aiti-13516	172	6	(	(	PUNCT
aiti-13516	172	7	1	1	X
aiti-13516	172	8	)	)	PUNCT
aiti-13516	172	9	determine	determine	VERB
aiti-13516	172	10	the	the	DET
aiti-13516	172	11	image	image	NOUN
aiti-13516	172	12	histogram	histogram	NOUN
aiti-13516	172	13	:	:	PUNCT
aiti-13516	172	14	first	first	ADV
aiti-13516	172	15	,	,	PUNCT
aiti-13516	172	16	capture	capture	VERB
aiti-13516	172	17	an	an	DET
aiti-13516	172	18	iris	iris	NOUN
aiti-13516	172	19	image	image	NOUN
aiti-13516	172	20	and	and	CCONJ
aiti-13516	172	21	transform	transform	VERB
aiti-13516	172	22	it	it	PRON
aiti-13516	172	23	to	to	ADP
aiti-13516	172	24	a	a	DET
aiti-13516	172	25	grayscale	grayscale	NOUN
aiti-13516	172	26	.	.	PUNCT
aiti-13516	173	1	then	then	ADV
aiti-13516	173	2	,	,	PUNCT
aiti-13516	173	3	utilizing	utilize	VERB
aiti-13516	173	4	eq	eq	ADP
aiti-13516	173	5	.	.	PUNCT
aiti-13516	174	1	(	(	PUNCT
aiti-13516	174	2	1	1	NUM
aiti-13516	174	3	)	)	PUNCT
aiti-13516	174	4	,	,	PUNCT
aiti-13516	174	5	compute	compute	VERB
aiti-13516	174	6	the	the	DET
aiti-13516	174	7	histogram	histogram	NOUN
aiti-13516	174	8	to	to	PART
aiti-13516	174	9	determine	determine	VERB
aiti-13516	174	10	the	the	DET
aiti-13516	174	11	distribution	distribution	NOUN
aiti-13516	174	12	of	of	ADP
aiti-13516	174	13	pixel	pixel	ADJ
aiti-13516	174	14	intensities	intensity	NOUN
aiti-13516	174	15	in	in	ADP
aiti-13516	174	16	the	the	DET
aiti-13516	174	17	image	image	NOUN
aiti-13516	174	18	.	.	PUNCT
aiti-13516	175	1	the	the	DET
aiti-13516	175	2	x	x	NOUN
aiti-13516	175	3	-	-	NOUN
aiti-13516	175	4	axis	axis	NOUN
aiti-13516	175	5	of	of	ADP
aiti-13516	175	6	the	the	DET
aiti-13516	175	7	histogram	histogram	NOUN
aiti-13516	175	8	represents	represent	VERB
aiti-13516	175	9	the	the	DET
aiti-13516	175	10	intensity	intensity	NOUN
aiti-13516	175	11	levels	level	NOUN
aiti-13516	175	12	(	(	PUNCT
aiti-13516	175	13	0	0	NUM
aiti-13516	175	14	-	-	NUM
aiti-13516	175	15	255	255	NUM
aiti-13516	175	16	)	)	PUNCT
aiti-13516	175	17	,	,	PUNCT
aiti-13516	175	18	while	while	SCONJ
aiti-13516	175	19	the	the	DET
aiti-13516	175	20	frequency	frequency	NOUN
aiti-13516	175	21	of	of	ADP
aiti-13516	175	22	each	each	DET
aiti-13516	175	23	intensity	intensity	NOUN
aiti-13516	175	24	is	be	AUX
aiti-13516	175	25	shown	show	VERB
aiti-13516	175	26	on	on	ADP
aiti-13516	175	27	the	the	DET
aiti-13516	175	28	y	y	NOUN
aiti-13516	175	29	-	-	PUNCT
aiti-13516	175	30	axis	axis	NOUN
aiti-13516	175	31	.	.	PUNCT
aiti-13516	176	1	fig	fig	NOUN
aiti-13516	176	2	.	.	PUNCT
aiti-13516	177	1	3	3	NUM
aiti-13516	177	2	displays	display	VERB
aiti-13516	177	3	a	a	DET
aiti-13516	177	4	sample	sample	NOUN
aiti-13516	177	5	histogram	histogram	NOUN
aiti-13516	177	6	for	for	ADP
aiti-13516	177	7	a	a	DET
aiti-13516	177	8	single	single	ADJ
aiti-13516	177	9	iris	iris	NOUN
aiti-13516	177	10	image	image	NOUN
aiti-13516	177	11	.	.	PUNCT
aiti-13516	178	1	fig	fig	NOUN
aiti-13516	178	2	.	.	PUNCT
aiti-13516	179	1	3	3	NUM
aiti-13516	179	2	representation	representation	NOUN
aiti-13516	179	3	of	of	ADP
aiti-13516	179	4	original	original	ADJ
aiti-13516	179	5	and	and	CCONJ
aiti-13516	179	6	histogram	histogram	NOUN
aiti-13516	179	7	image	image	NOUN
aiti-13516	179	8	(	(	PUNCT
aiti-13516	179	9	2	2	X
aiti-13516	179	10	)	)	PUNCT
aiti-13516	179	11	apply	apply	VERB
aiti-13516	179	12	median	median	ADJ
aiti-13516	179	13	filter	filter	NOUN
aiti-13516	179	14	for	for	ADP
aiti-13516	179	15	gray	gray	ADJ
aiti-13516	179	16	image	image	NOUN
aiti-13516	179	17	.	.	PUNCT
aiti-13516	180	1	fig	fig	NOUN
aiti-13516	180	2	.	.	PUNCT
aiti-13516	181	1	4	4	NUM
aiti-13516	181	2	shows	show	VERB
aiti-13516	181	3	an	an	DET
aiti-13516	181	4	example	example	NOUN
aiti-13516	181	5	of	of	ADP
aiti-13516	181	6	an	an	DET
aiti-13516	181	7	iris	iris	NOUN
aiti-13516	181	8	image	image	NOUN
aiti-13516	181	9	after	after	ADP
aiti-13516	181	10	applying	apply	VERB
aiti-13516	181	11	a	a	DET
aiti-13516	181	12	median	median	ADJ
aiti-13516	181	13	filter	filter	NOUN
aiti-13516	181	14	.	.	PUNCT
aiti-13516	182	1	advances	advance	NOUN
aiti-13516	182	2	in	in	ADP
aiti-13516	182	3	technology	technology	NOUN
aiti-13516	182	4	innovation	innovation	NOUN
aiti-13516	182	5	,	,	PUNCT
aiti-13516	182	6	vol	vol	NOUN
aiti-13516	182	7	.	.	PROPN
aiti-13516	183	1	9	9	NUM
aiti-13516	183	2	,	,	PUNCT
aiti-13516	183	3	no	no	INTJ
aiti-13516	183	4	.	.	NOUN
aiti-13516	183	5	3	3	NUM
aiti-13516	183	6	,	,	PUNCT
aiti-13516	183	7	2024	2024	NUM
aiti-13516	183	8	,	,	PUNCT
aiti-13516	183	9	pp	pp	ADV
aiti-13516	183	10	.	.	PUNCT
aiti-13516	184	1	197	197	NUM
aiti-13516	184	2	-	-	SYM
aiti-13516	184	3	209	209	NUM
aiti-13516	184	4	203	203	NUM
aiti-13516	184	5	fig	fig	NOUN
aiti-13516	184	6	.	.	PUNCT
aiti-13516	185	1	4	4	NUM
aiti-13516	185	2	representation	representation	NOUN
aiti-13516	185	3	of	of	ADP
aiti-13516	185	4	original	original	ADJ
aiti-13516	185	5	and	and	CCONJ
aiti-13516	185	6	filtered	filter	VERB
aiti-13516	185	7	image	image	NOUN
aiti-13516	185	8	with	with	ADP
aiti-13516	185	9	a	a	DET
aiti-13516	185	10	histogram	histogram	NOUN
aiti-13516	185	11	-	-	PUNCT
aiti-13516	185	12	based	base	VERB
aiti-13516	185	13	median	median	ADJ
aiti-13516	185	14	filter	filter	NOUN
aiti-13516	185	15	(	(	PUNCT
aiti-13516	185	16	3	3	NUM
aiti-13516	185	17	)	)	PUNCT
aiti-13516	185	18	maximum	maximum	ADJ
aiti-13516	185	19	entropy	entropy	NOUN
aiti-13516	185	20	value	value	NOUN
aiti-13516	185	21	:	:	PUNCT
aiti-13516	185	22	first	first	ADV
aiti-13516	185	23	,	,	PUNCT
aiti-13516	185	24	determine	determine	VERB
aiti-13516	185	25	the	the	DET
aiti-13516	185	26	grayscale	grayscale	NOUN
aiti-13516	185	27	image	image	NOUN
aiti-13516	185	28	’s	’s	PART
aiti-13516	185	29	probability	probability	NOUN
aiti-13516	185	30	distribution	distribution	NOUN
aiti-13516	185	31	for	for	ADP
aiti-13516	185	32	the	the	DET
aiti-13516	185	33	pixel	pixel	PROPN
aiti-13516	185	34	intensities	intensity	NOUN
aiti-13516	185	35	.	.	PUNCT
aiti-13516	186	1	then	then	ADV
aiti-13516	186	2	,	,	PUNCT
aiti-13516	186	3	use	use	VERB
aiti-13516	186	4	the	the	DET
aiti-13516	186	5	entropy	entropy	NOUN
aiti-13516	186	6	formula	formula	NOUN
aiti-13516	186	7	,	,	PUNCT
aiti-13516	186	8	i.e.	i.e.	X
aiti-13516	186	9	,	,	PUNCT
aiti-13516	186	10	eq	eq	X
aiti-13516	186	11	(	(	PUNCT
aiti-13516	186	12	3	3	NUM
aiti-13516	186	13	)	)	PUNCT
aiti-13516	186	14	,	,	PUNCT
aiti-13516	186	15	to	to	PART
aiti-13516	186	16	find	find	VERB
aiti-13516	186	17	the	the	DET
aiti-13516	186	18	entropy	entropy	NOUN
aiti-13516	186	19	image	image	NOUN
aiti-13516	186	20	.	.	PUNCT
aiti-13516	187	1	finally	finally	ADV
aiti-13516	187	2	,	,	PUNCT
aiti-13516	187	3	output	output	VERB
aiti-13516	187	4	the	the	DET
aiti-13516	187	5	maximum	maximum	ADJ
aiti-13516	187	6	value	value	NOUN
aiti-13516	187	7	of	of	ADP
aiti-13516	187	8	entropy	entropy	NOUN
aiti-13516	187	9	after	after	ADP
aiti-13516	187	10	calculating	calculate	VERB
aiti-13516	187	11	the	the	DET
aiti-13516	187	12	entropy	entropy	NOUN
aiti-13516	187	13	values	value	NOUN
aiti-13516	187	14	,	,	PUNCT
aiti-13516	187	15	and	and	CCONJ
aiti-13516	187	16	subsequently	subsequently	ADV
aiti-13516	187	17	,	,	PUNCT
aiti-13516	187	18	determine	determine	VERB
aiti-13516	187	19	the	the	DET
aiti-13516	187	20	maximum	maximum	PROPN
aiti-13516	187	21	entropy	entropy	NOUN
aiti-13516	187	22	value	value	NOUN
aiti-13516	187	23	.	.	PUNCT
aiti-13516	188	1	table	table	NOUN
aiti-13516	188	2	2	2	NUM
aiti-13516	188	3	provides	provide	VERB
aiti-13516	188	4	an	an	DET
aiti-13516	188	5	example	example	NOUN
aiti-13516	188	6	of	of	ADP
aiti-13516	188	7	the	the	DET
aiti-13516	188	8	maximum	maximum	ADJ
aiti-13516	188	9	entropy	entropy	NOUN
aiti-13516	188	10	for	for	ADP
aiti-13516	188	11	an	an	DET
aiti-13516	188	12	image	image	NOUN
aiti-13516	188	13	.	.	PUNCT
aiti-13516	189	1	table	table	NOUN
aiti-13516	189	2	2	2	NUM
aiti-13516	189	3	maximum	maximum	NOUN
aiti-13516	189	4	entropy	entropy	NOUN
aiti-13516	189	5	for	for	ADP
aiti-13516	189	6	an	an	DET
aiti-13516	189	7	iris	iris	NOUN
aiti-13516	189	8	image	image	NOUN
aiti-13516	189	9	max	max	PROPN
aiti-13516	189	10	entropy	entropy	PROPN
aiti-13516	189	11	value	value	NOUN
aiti-13516	189	12	location	location	NOUN
aiti-13516	189	13	(	(	PUNCT
aiti-13516	189	14	ppt	ppt	NOUN
aiti-13516	189	15	)	)	PUNCT
aiti-13516	189	16	time	time	NOUN
aiti-13516	189	17	(	(	PUNCT
aiti-13516	189	18	sec	sec	PROPN
aiti-13516	189	19	)	)	PUNCT
aiti-13516	189	20	8.86030148358909	8.86030148358909	NUM
aiti-13516	189	21	97	97	NUM
aiti-13516	189	22	00:00:00.0428876	00:00:00.0428876	NUM
aiti-13516	189	23	the	the	DET
aiti-13516	189	24	maximum	maximum	PROPN
aiti-13516	189	25	entropy	entropy	NOUN
aiti-13516	189	26	value	value	NOUN
aiti-13516	189	27	has	have	AUX
aiti-13516	189	28	been	be	AUX
aiti-13516	189	29	used	use	VERB
aiti-13516	189	30	as	as	ADP
aiti-13516	189	31	an	an	DET
aiti-13516	189	32	adaptive	adaptive	ADJ
aiti-13516	189	33	threshold	threshold	NOUN
aiti-13516	189	34	for	for	ADP
aiti-13516	189	35	the	the	DET
aiti-13516	189	36	image	image	NOUN
aiti-13516	189	37	.	.	PUNCT
aiti-13516	190	1	the	the	DET
aiti-13516	190	2	threshold	threshold	NOUN
aiti-13516	190	3	value	value	NOUN
aiti-13516	190	4	is	be	AUX
aiti-13516	190	5	compared	compare	VERB
aiti-13516	190	6	with	with	ADP
aiti-13516	190	7	all	all	DET
aiti-13516	190	8	the	the	DET
aiti-13516	190	9	intensities	intensity	NOUN
aiti-13516	190	10	in	in	ADP
aiti-13516	190	11	the	the	DET
aiti-13516	190	12	histogram	histogram	NOUN
aiti-13516	190	13	.	.	PUNCT
aiti-13516	191	1	if	if	SCONJ
aiti-13516	191	2	the	the	DET
aiti-13516	191	3	intensity	intensity	NOUN
aiti-13516	191	4	value	value	NOUN
aiti-13516	191	5	is	be	AUX
aiti-13516	191	6	larger	large	ADJ
aiti-13516	191	7	than	than	ADP
aiti-13516	191	8	the	the	DET
aiti-13516	191	9	threshold	threshold	NOUN
aiti-13516	191	10	value	value	NOUN
aiti-13516	191	11	,	,	PUNCT
aiti-13516	191	12	the	the	DET
aiti-13516	191	13	intensity	intensity	NOUN
aiti-13516	191	14	will	will	AUX
aiti-13516	191	15	be	be	AUX
aiti-13516	191	16	1	1	NUM
aiti-13516	191	17	,	,	PUNCT
aiti-13516	191	18	and	and	CCONJ
aiti-13516	191	19	,	,	PUNCT
aiti-13516	191	20	in	in	ADP
aiti-13516	191	21	contrast	contrast	NOUN
aiti-13516	191	22	,	,	PUNCT
aiti-13516	191	23	if	if	SCONJ
aiti-13516	191	24	it	it	PRON
aiti-13516	191	25	’s	’	VERB
aiti-13516	191	26	smaller	small	ADJ
aiti-13516	191	27	than	than	ADP
aiti-13516	191	28	the	the	DET
aiti-13516	191	29	threshold	threshold	NOUN
aiti-13516	191	30	,	,	PUNCT
aiti-13516	191	31	it	it	PRON
aiti-13516	191	32	will	will	AUX
aiti-13516	191	33	be	be	AUX
aiti-13516	191	34	0	0	NUM
aiti-13516	191	35	.	.	PUNCT
aiti-13516	192	1	the	the	DET
aiti-13516	192	2	result	result	NOUN
aiti-13516	192	3	is	be	AUX
aiti-13516	192	4	a	a	DET
aiti-13516	192	5	binary	binary	ADJ
aiti-13516	192	6	image	image	NOUN
aiti-13516	192	7	will	will	AUX
aiti-13516	192	8	be	be	AUX
aiti-13516	192	9	used	use	VERB
aiti-13516	192	10	in	in	ADP
aiti-13516	192	11	the	the	DET
aiti-13516	192	12	next	next	ADJ
aiti-13516	192	13	step	step	NOUN
aiti-13516	192	14	.	.	PUNCT
aiti-13516	193	1	according	accord	VERB
aiti-13516	193	2	to	to	ADP
aiti-13516	193	3	fig	fig	NOUN
aiti-13516	193	4	.	.	PUNCT
aiti-13516	194	1	5	5	NUM
aiti-13516	194	2	,	,	PUNCT
aiti-13516	194	3	the	the	DET
aiti-13516	194	4	filtered	filter	VERB
aiti-13516	194	5	image	image	NOUN
aiti-13516	194	6	is	be	AUX
aiti-13516	194	7	converted	convert	VERB
aiti-13516	194	8	from	from	ADP
aiti-13516	194	9	gray	gray	ADJ
aiti-13516	194	10	to	to	ADP
aiti-13516	194	11	binary	binary	ADJ
aiti-13516	194	12	level	level	NOUN
aiti-13516	194	13	by	by	ADP
aiti-13516	194	14	utilizing	utilize	VERB
aiti-13516	194	15	the	the	DET
aiti-13516	194	16	maximum	maximum	ADJ
aiti-13516	194	17	entropy	entropy	NOUN
aiti-13516	194	18	value	value	NOUN
aiti-13516	194	19	as	as	ADP
aiti-13516	194	20	a	a	DET
aiti-13516	194	21	threshold	threshold	NOUN
aiti-13516	194	22	.	.	PUNCT
aiti-13516	195	1	fig	fig	NOUN
aiti-13516	195	2	.	.	PUNCT
aiti-13516	196	1	5	5	NUM
aiti-13516	196	2	conversion	conversion	NOUN
aiti-13516	196	3	from	from	ADP
aiti-13516	196	4	filtered	filter	VERB
aiti-13516	196	5	to	to	ADP
aiti-13516	196	6	binary	binary	ADJ
aiti-13516	196	7	image	image	NOUN
aiti-13516	196	8	via	via	ADP
aiti-13516	196	9	maximum	maximum	ADJ
aiti-13516	196	10	entropy	entropy	PROPN
aiti-13516	196	11	threshold	threshold	NOUN
aiti-13516	196	12	(	(	PUNCT
aiti-13516	196	13	4	4	NUM
aiti-13516	196	14	)	)	PUNCT
aiti-13516	196	15	apply	apply	VERB
aiti-13516	196	16	dilation	dilation	NOUN
aiti-13516	196	17	morphology	morphology	NOUN
aiti-13516	196	18	:	:	PUNCT
aiti-13516	196	19	use	use	VERB
aiti-13516	196	20	the	the	DET
aiti-13516	196	21	dilation	dilation	NOUN
aiti-13516	196	22	morphology	morphology	NOUN
aiti-13516	196	23	on	on	ADP
aiti-13516	196	24	the	the	DET
aiti-13516	196	25	binary	binary	ADJ
aiti-13516	196	26	image	image	NOUN
aiti-13516	196	27	obtained	obtain	VERB
aiti-13516	196	28	in	in	ADP
aiti-13516	196	29	step	step	NOUN
aiti-13516	196	30	1	1	NUM
aiti-13516	196	31	to	to	PART
aiti-13516	196	32	extract	extract	VERB
aiti-13516	196	33	the	the	DET
aiti-13516	196	34	roi	roi	NOUN
aiti-13516	196	35	of	of	ADP
aiti-13516	196	36	the	the	DET
aiti-13516	196	37	iris	iris	NOUN
aiti-13516	196	38	,	,	PUNCT
aiti-13516	196	39	which	which	PRON
aiti-13516	196	40	includes	include	VERB
aiti-13516	196	41	the	the	DET
aiti-13516	196	42	iris	iris	NOUN
aiti-13516	196	43	and	and	CCONJ
aiti-13516	196	44	its	its	PRON
aiti-13516	196	45	content	content	NOUN
aiti-13516	196	46	.	.	PUNCT
aiti-13516	197	1	the	the	DET
aiti-13516	197	2	dilated	dilated	ADJ
aiti-13516	197	3	image	image	NOUN
aiti-13516	197	4	is	be	AUX
aiti-13516	197	5	black	black	ADJ
aiti-13516	197	6	and	and	CCONJ
aiti-13516	197	7	white	white	ADJ
aiti-13516	197	8	,	,	PUNCT
aiti-13516	197	9	where	where	SCONJ
aiti-13516	197	10	the	the	DET
aiti-13516	197	11	black	black	ADJ
aiti-13516	197	12	areas	area	NOUN
aiti-13516	197	13	represent	represent	VERB
aiti-13516	197	14	the	the	DET
aiti-13516	197	15	objects	object	NOUN
aiti-13516	197	16	,	,	PUNCT
aiti-13516	197	17	and	and	CCONJ
aiti-13516	197	18	the	the	DET
aiti-13516	197	19	white	white	PROPN
aiti-13516	197	20	areas	area	NOUN
aiti-13516	197	21	serve	serve	VERB
aiti-13516	197	22	as	as	ADP
aiti-13516	197	23	the	the	DET
aiti-13516	197	24	background	background	NOUN
aiti-13516	197	25	.	.	PUNCT
aiti-13516	198	1	to	to	PART
aiti-13516	198	2	distinguish	distinguish	VERB
aiti-13516	198	3	the	the	DET
aiti-13516	198	4	iris	iris	NOUN
aiti-13516	198	5	region	region	NOUN
aiti-13516	198	6	from	from	ADP
aiti-13516	198	7	the	the	DET
aiti-13516	198	8	undesirable	undesirable	ADJ
aiti-13516	198	9	area	area	NOUN
aiti-13516	198	10	of	of	ADP
aiti-13516	198	11	the	the	DET
aiti-13516	198	12	images	image	NOUN
aiti-13516	198	13	,	,	PUNCT
aiti-13516	198	14	four	four	NUM
aiti-13516	198	15	regions	region	NOUN
aiti-13516	198	16	have	have	AUX
aiti-13516	198	17	been	be	AUX
aiti-13516	198	18	defined	define	VERB
aiti-13516	198	19	according	accord	VERB
aiti-13516	198	20	to	to	ADP
aiti-13516	198	21	the	the	DET
aiti-13516	198	22	proposed	propose	VERB
aiti-13516	198	23	algorithm	algorithm	NOUN
aiti-13516	198	24	,	,	PUNCT
aiti-13516	198	25	as	as	SCONJ
aiti-13516	198	26	depicted	depict	VERB
aiti-13516	198	27	in	in	ADP
aiti-13516	198	28	fig	fig	NOUN
aiti-13516	198	29	.	.	PUNCT
aiti-13516	199	1	6	6	NUM
aiti-13516	199	2	.	.	X
aiti-13516	200	1	moreover	moreover	ADV
aiti-13516	200	2	,	,	PUNCT
aiti-13516	200	3	the	the	DET
aiti-13516	200	4	regions	region	NOUN
aiti-13516	200	5	are	be	AUX
aiti-13516	200	6	based	base	VERB
aiti-13516	200	7	on	on	ADP
aiti-13516	200	8	the	the	DET
aiti-13516	200	9	computation	computation	NOUN
aiti-13516	200	10	of	of	ADP
aiti-13516	200	11	white	white	ADJ
aiti-13516	200	12	and	and	CCONJ
aiti-13516	200	13	black	black	ADJ
aiti-13516	200	14	points	point	NOUN
aiti-13516	200	15	in	in	ADP
aiti-13516	200	16	each	each	DET
aiti-13516	200	17	row	row	NOUN
aiti-13516	200	18	and	and	CCONJ
aiti-13516	200	19	column	column	NOUN
aiti-13516	200	20	in	in	ADP
aiti-13516	200	21	all	all	DET
aiti-13516	200	22	four	four	NUM
aiti-13516	200	23	regions	region	NOUN
aiti-13516	200	24	.	.	PUNCT
aiti-13516	201	1	finally	finally	ADV
aiti-13516	201	2	,	,	PUNCT
aiti-13516	201	3	besides	besides	ADV
aiti-13516	201	4	,	,	PUNCT
aiti-13516	201	5	the	the	DET
aiti-13516	201	6	drawn	draw	VERB
aiti-13516	201	7	rectangle	rectangle	NOUN
aiti-13516	201	8	region	region	NOUN
aiti-13516	201	9	is	be	AUX
aiti-13516	201	10	the	the	DET
aiti-13516	201	11	result	result	NOUN
aiti-13516	201	12	.	.	PUNCT
aiti-13516	202	1	fig	fig	NOUN
aiti-13516	202	2	.	.	PUNCT
aiti-13516	203	1	6	6	NUM
aiti-13516	203	2	iris	iris	NOUN
aiti-13516	203	3	region	region	NOUN
aiti-13516	203	4	segmentation	segmentation	NOUN
aiti-13516	203	5	with	with	ADP
aiti-13516	203	6	the	the	DET
aiti-13516	203	7	proposed	propose	VERB
aiti-13516	203	8	algorithm	algorithm	NOUN
aiti-13516	203	9	(	(	PUNCT
aiti-13516	203	10	5	5	X
aiti-13516	203	11	)	)	PUNCT
aiti-13516	203	12	transform	transform	VERB
aiti-13516	203	13	to	to	ADP
aiti-13516	203	14	a	a	DET
aiti-13516	203	15	gray	gray	ADJ
aiti-13516	203	16	image	image	NOUN
aiti-13516	203	17	and	and	CCONJ
aiti-13516	203	18	convert	convert	VERB
aiti-13516	203	19	the	the	DET
aiti-13516	203	20	roi	roi	NOUN
aiti-13516	203	21	binary	binary	NOUN
aiti-13516	203	22	to	to	PART
aiti-13516	203	23	gray	gray	VERB
aiti-13516	203	24	,	,	PUNCT
aiti-13516	203	25	as	as	SCONJ
aiti-13516	203	26	shown	show	VERB
aiti-13516	203	27	in	in	ADP
aiti-13516	203	28	fig	fig	NOUN
aiti-13516	203	29	.	.	PUNCT
aiti-13516	204	1	7	7	NUM
aiti-13516	204	2	.	.	SYM
aiti-13516	204	3	204	204	NUM
aiti-13516	204	4	advances	advance	NOUN
aiti-13516	204	5	in	in	ADP
aiti-13516	204	6	technology	technology	NOUN
aiti-13516	204	7	innovation	innovation	NOUN
aiti-13516	204	8	,	,	PUNCT
aiti-13516	204	9	vol	vol	NOUN
aiti-13516	204	10	.	.	PROPN
aiti-13516	204	11	9	9	NUM
aiti-13516	204	12	,	,	PUNCT
aiti-13516	204	13	no	no	INTJ
aiti-13516	204	14	.	.	NOUN
aiti-13516	204	15	3	3	NUM
aiti-13516	204	16	,	,	PUNCT
aiti-13516	204	17	2024	2024	NUM
aiti-13516	204	18	,	,	PUNCT
aiti-13516	204	19	pp	pp	ADV
aiti-13516	204	20	.	.	PUNCT
aiti-13516	204	21	197	197	NUM
aiti-13516	204	22	-	-	SYM
aiti-13516	204	23	209	209	NUM
aiti-13516	204	24	fig	fig	NOUN
aiti-13516	204	25	.	.	PUNCT
aiti-13516	205	1	7	7	NUM
aiti-13516	205	2	transformation	transformation	NOUN
aiti-13516	205	3	of	of	ADP
aiti-13516	205	4	binary	binary	ADJ
aiti-13516	205	5	roi	roi	PROPN
aiti-13516	205	6	to	to	PART
aiti-13516	205	7	gray	gray	VERB
aiti-13516	205	8	roi	roi	NOUN
aiti-13516	205	9	3.2	3.2	NUM
aiti-13516	205	10	.	.	PUNCT
aiti-13516	206	1	iris	iris	NOUN
aiti-13516	206	2	recognition	recognition	PROPN
aiti-13516	206	3	scheme	scheme	NOUN
aiti-13516	206	4	ir	ir	PROPN
aiti-13516	206	5	is	be	AUX
aiti-13516	206	6	the	the	DET
aiti-13516	206	7	second	second	ADJ
aiti-13516	206	8	phase	phase	NOUN
aiti-13516	206	9	in	in	ADP
aiti-13516	206	10	the	the	DET
aiti-13516	206	11	proposed	propose	VERB
aiti-13516	206	12	scheme	scheme	NOUN
aiti-13516	206	13	,	,	PUNCT
aiti-13516	206	14	and	and	CCONJ
aiti-13516	206	15	the	the	DET
aiti-13516	206	16	roi	roi	NOUN
aiti-13516	206	17	iris	iris	NOUN
aiti-13516	206	18	images	image	NOUN
aiti-13516	206	19	are	be	AUX
aiti-13516	206	20	fed	feed	VERB
aiti-13516	206	21	into	into	ADP
aiti-13516	206	22	the	the	DET
aiti-13516	206	23	recognition	recognition	NOUN
aiti-13516	206	24	step	step	NOUN
aiti-13516	206	25	using	use	VERB
aiti-13516	206	26	cnn	cnn	PROPN
aiti-13516	206	27	.	.	PUNCT
aiti-13516	207	1	cnns	cnns	PROPN
aiti-13516	207	2	use	use	VERB
aiti-13516	207	3	convolutional	convolutional	ADJ
aiti-13516	207	4	and	and	CCONJ
aiti-13516	207	5	pooling	pool	VERB
aiti-13516	207	6	layers	layer	NOUN
aiti-13516	207	7	to	to	PART
aiti-13516	207	8	automatically	automatically	ADV
aiti-13516	207	9	extract	extract	VERB
aiti-13516	207	10	information	information	NOUN
aiti-13516	207	11	from	from	ADP
aiti-13516	207	12	the	the	DET
aiti-13516	207	13	roi	roi	NOUN
aiti-13516	207	14	iris	iris	NOUN
aiti-13516	207	15	images	image	NOUN
aiti-13516	207	16	.	.	PUNCT
aiti-13516	208	1	meanwhile	meanwhile	ADV
aiti-13516	208	2	,	,	PUNCT
aiti-13516	208	3	specifically	specifically	ADV
aiti-13516	208	4	,	,	PUNCT
aiti-13516	208	5	the	the	DET
aiti-13516	208	6	features	feature	NOUN
aiti-13516	208	7	are	be	AUX
aiti-13516	208	8	the	the	DET
aiti-13516	208	9	borders	border	NOUN
aiti-13516	208	10	of	of	ADP
aiti-13516	208	11	iris	iris	NOUN
aiti-13516	208	12	,	,	PUNCT
aiti-13516	208	13	texture	texture	NOUN
aiti-13516	208	14	patterns	pattern	NOUN
aiti-13516	208	15	,	,	PUNCT
aiti-13516	208	16	etc	etc	X
aiti-13516	208	17	.	.	X
aiti-13516	209	1	the	the	DET
aiti-13516	209	2	cnn	cnn	PROPN
aiti-13516	209	3	requires	require	VERB
aiti-13516	209	4	itself	itself	PRON
aiti-13516	209	5	to	to	PART
aiti-13516	209	6	be	be	AUX
aiti-13516	209	7	trained	train	VERB
aiti-13516	209	8	on	on	ADP
aiti-13516	209	9	a	a	DET
aiti-13516	209	10	dataset	dataset	NOUN
aiti-13516	209	11	of	of	ADP
aiti-13516	209	12	labeled	label	VERB
aiti-13516	209	13	iris	iris	NOUN
aiti-13516	209	14	images	image	NOUN
aiti-13516	209	15	before	before	ADP
aiti-13516	209	16	being	be	AUX
aiti-13516	209	17	used	use	VERB
aiti-13516	209	18	for	for	ADP
aiti-13516	209	19	recognition	recognition	NOUN
aiti-13516	209	20	.	.	PUNCT
aiti-13516	210	1	the	the	DET
aiti-13516	210	2	network	network	NOUN
aiti-13516	210	3	learns	learn	VERB
aiti-13516	210	4	to	to	PART
aiti-13516	210	5	map	map	VERB
aiti-13516	210	6	the	the	DET
aiti-13516	210	7	input	input	NOUN
aiti-13516	210	8	roi	roi	NOUN
aiti-13516	210	9	iris	iris	NOUN
aiti-13516	210	10	images	image	NOUN
aiti-13516	210	11	with	with	ADP
aiti-13516	210	12	matching	match	VERB
aiti-13516	210	13	iris	iris	NOUN
aiti-13516	210	14	identities	identity	NOUN
aiti-13516	210	15	during	during	ADP
aiti-13516	210	16	training	training	NOUN
aiti-13516	210	17	.	.	PUNCT
aiti-13516	211	1	cnn	cnn	PROPN
aiti-13516	211	2	can	can	AUX
aiti-13516	211	3	recognize	recognize	VERB
aiti-13516	211	4	iris	iris	NOUN
aiti-13516	211	5	images	image	NOUN
aiti-13516	211	6	if	if	SCONJ
aiti-13516	211	7	having	having	AUX
aiti-13516	211	8	been	be	AUX
aiti-13516	211	9	trained	train	VERB
aiti-13516	211	10	.	.	PUNCT
aiti-13516	212	1	the	the	DET
aiti-13516	212	2	stage	stage	NOUN
aiti-13516	212	3	herein	herein	NOUN
aiti-13516	212	4	involves	involve	VERB
aiti-13516	212	5	feeding	feed	VERB
aiti-13516	212	6	the	the	DET
aiti-13516	212	7	trained	train	VERB
aiti-13516	212	8	cnn	cnn	PROPN
aiti-13516	212	9	with	with	ADP
aiti-13516	212	10	the	the	DET
aiti-13516	212	11	roi	roi	NOUN
aiti-13516	212	12	iris	iris	NOUN
aiti-13516	212	13	images	image	NOUN
aiti-13516	212	14	.	.	PUNCT
aiti-13516	213	1	by	by	ADP
aiti-13516	213	2	using	use	VERB
aiti-13516	213	3	softmax	softmax	ADJ
aiti-13516	213	4	activation	activation	NOUN
aiti-13516	213	5	in	in	ADP
aiti-13516	213	6	the	the	DET
aiti-13516	213	7	output	output	NOUN
aiti-13516	213	8	layer	layer	NOUN
aiti-13516	213	9	for	for	ADP
aiti-13516	213	10	classification	classification	NOUN
aiti-13516	213	11	tasks	task	NOUN
aiti-13516	213	12	,	,	PUNCT
aiti-13516	213	13	the	the	DET
aiti-13516	213	14	network	network	NOUN
aiti-13516	213	15	subsequently	subsequently	ADV
aiti-13516	213	16	outputs	output	VERB
aiti-13516	213	17	a	a	DET
aiti-13516	213	18	probability	probability	NOUN
aiti-13516	213	19	distribution	distribution	NOUN
aiti-13516	213	20	over	over	ADP
aiti-13516	213	21	sundry	sundry	ADJ
aiti-13516	213	22	identities	identity	NOUN
aiti-13516	213	23	of	of	ADP
aiti-13516	213	24	the	the	DET
aiti-13516	213	25	iris	iris	NOUN
aiti-13516	213	26	.	.	PUNCT
aiti-13516	214	1	typically	typically	ADV
aiti-13516	214	2	,	,	PUNCT
aiti-13516	214	3	the	the	DET
aiti-13516	214	4	most	most	ADV
aiti-13516	214	5	probable	probable	ADJ
aiti-13516	214	6	identity	identity	NOUN
aiti-13516	214	7	is	be	AUX
aiti-13516	214	8	selected	select	VERB
aiti-13516	214	9	to	to	PART
aiti-13516	214	10	be	be	AUX
aiti-13516	214	11	the	the	DET
aiti-13516	214	12	recognized	recognize	VERB
aiti-13516	214	13	identity	identity	NOUN
aiti-13516	214	14	.	.	PUNCT
aiti-13516	215	1	to	to	PART
aiti-13516	215	2	evaluate	evaluate	VERB
aiti-13516	215	3	whether	whether	SCONJ
aiti-13516	215	4	the	the	DET
aiti-13516	215	5	performance	performance	NOUN
aiti-13516	215	6	of	of	ADP
aiti-13516	215	7	a	a	DET
aiti-13516	215	8	cnn	cnn	PROPN
aiti-13516	215	9	-	-	PUNCT
aiti-13516	215	10	based	base	VERB
aiti-13516	215	11	ir	ir	NOUN
aiti-13516	215	12	system	system	NOUN
aiti-13516	215	13	is	be	AUX
aiti-13516	215	14	effective	effective	ADJ
aiti-13516	215	15	,	,	PUNCT
aiti-13516	215	16	the	the	DET
aiti-13516	215	17	recognition	recognition	NOUN
aiti-13516	215	18	metrics	metric	NOUN
aiti-13516	215	19	such	such	ADJ
aiti-13516	215	20	as	as	ADP
aiti-13516	215	21	accuracy	accuracy	NOUN
aiti-13516	215	22	and	and	CCONJ
aiti-13516	215	23	receiver	receiver	ADJ
aiti-13516	215	24	operating	operate	VERB
aiti-13516	215	25	characteristic	characteristic	NOUN
aiti-13516	215	26	(	(	PUNCT
aiti-13516	215	27	roc	roc	PROPN
aiti-13516	215	28	)	)	PUNCT
aiti-13516	215	29	curves	curve	NOUN
aiti-13516	215	30	are	be	AUX
aiti-13516	215	31	deployed	deploy	VERB
aiti-13516	215	32	.	.	PUNCT
aiti-13516	216	1	diagrammatically	diagrammatically	ADV
aiti-13516	216	2	,	,	PUNCT
aiti-13516	216	3	fig	fig	NOUN
aiti-13516	216	4	.	.	PUNCT
aiti-13516	216	5	8	8	NUM
aiti-13516	216	6	illustrates	illustrate	VERB
aiti-13516	216	7	the	the	DET
aiti-13516	216	8	cnn	cnn	PROPN
aiti-13516	216	9	representation	representation	NOUN
aiti-13516	216	10	.	.	PUNCT
aiti-13516	217	1	fig	fig	NOUN
aiti-13516	217	2	.	.	PUNCT
aiti-13516	218	1	8	8	NUM
aiti-13516	218	2	cnn	cnn	PROPN
aiti-13516	218	3	representation	representation	NOUN
aiti-13516	218	4	4	4	NUM
aiti-13516	218	5	.	.	PUNCT
aiti-13516	218	6	experimental	experimental	ADJ
aiti-13516	218	7	results	result	NOUN
aiti-13516	218	8	regarding	regard	VERB
aiti-13516	218	9	the	the	DET
aiti-13516	218	10	results	result	NOUN
aiti-13516	218	11	,	,	PUNCT
aiti-13516	218	12	a	a	DET
aiti-13516	218	13	scheme	scheme	NOUN
aiti-13516	218	14	has	have	AUX
aiti-13516	218	15	been	be	AUX
aiti-13516	218	16	developed	develop	VERB
aiti-13516	218	17	with	with	ADP
aiti-13516	218	18	multiple	multiple	ADJ
aiti-13516	218	19	functions	function	NOUN
aiti-13516	218	20	.	.	PUNCT
aiti-13516	219	1	the	the	DET
aiti-13516	219	2	pre	pre	ADJ
aiti-13516	219	3	-	-	ADJ
aiti-13516	219	4	processing	processing	ADJ
aiti-13516	219	5	step	step	NOUN
aiti-13516	219	6	is	be	AUX
aiti-13516	219	7	applied	apply	VERB
aiti-13516	219	8	initially	initially	ADV
aiti-13516	219	9	,	,	PUNCT
aiti-13516	219	10	and	and	CCONJ
aiti-13516	219	11	afterward	afterward	ADV
aiti-13516	219	12	,	,	PUNCT
aiti-13516	219	13	the	the	DET
aiti-13516	219	14	images	image	NOUN
aiti-13516	219	15	are	be	AUX
aiti-13516	219	16	binarized	binarize	VERB
aiti-13516	219	17	.	.	PUNCT
aiti-13516	220	1	furthermore	furthermore	ADV
aiti-13516	220	2	,	,	PUNCT
aiti-13516	220	3	the	the	DET
aiti-13516	220	4	segmented	segment	VERB
aiti-13516	220	5	images	image	NOUN
aiti-13516	220	6	are	be	AUX
aiti-13516	220	7	recognized	recognize	VERB
aiti-13516	220	8	using	use	VERB
aiti-13516	220	9	the	the	DET
aiti-13516	220	10	cnn	cnn	PROPN
aiti-13516	220	11	classifier	classifier	NOUN
aiti-13516	220	12	.	.	PUNCT
aiti-13516	221	1	in	in	ADP
aiti-13516	221	2	the	the	DET
aiti-13516	221	3	recognition	recognition	NOUN
aiti-13516	221	4	step	step	NOUN
aiti-13516	221	5	,	,	PUNCT
aiti-13516	221	6	the	the	DET
aiti-13516	221	7	accuracy	accuracy	NOUN
aiti-13516	221	8	rate	rate	NOUN
aiti-13516	221	9	,	,	PUNCT
aiti-13516	221	10	which	which	PRON
aiti-13516	221	11	is	be	AUX
aiti-13516	221	12	determined	determine	VERB
aiti-13516	221	13	by	by	ADP
aiti-13516	221	14	the	the	DET
aiti-13516	221	15	confusion	confusion	NOUN
aiti-13516	221	16	matrix	matrix	NOUN
aiti-13516	221	17	,	,	PUNCT
aiti-13516	221	18	is	be	AUX
aiti-13516	221	19	used	use	VERB
aiti-13516	221	20	as	as	ADP
aiti-13516	221	21	the	the	DET
aiti-13516	221	22	criterion	criterion	NOUN
aiti-13516	221	23	to	to	PART
aiti-13516	221	24	assess	assess	VERB
aiti-13516	221	25	the	the	DET
aiti-13516	221	26	performance	performance	NOUN
aiti-13516	221	27	of	of	ADP
aiti-13516	221	28	the	the	DET
aiti-13516	221	29	recommended	recommend	VERB
aiti-13516	221	30	scheme	scheme	NOUN
aiti-13516	221	31	.	.	PUNCT
aiti-13516	222	1	the	the	DET
aiti-13516	222	2	analysis	analysis	NOUN
aiti-13516	222	3	is	be	AUX
aiti-13516	222	4	implemented	implement	VERB
aiti-13516	222	5	using	use	VERB
aiti-13516	222	6	the	the	DET
aiti-13516	222	7	windows	window	NOUN
aiti-13516	222	8	10	10	NUM
aiti-13516	222	9	algorithms	algorithm	NOUN
aiti-13516	222	10	in	in	ADP
aiti-13516	222	11	c	c	NOUN
aiti-13516	222	12	#	#	NOUN
aiti-13516	222	13	(	(	PUNCT
aiti-13516	222	14	microsoft	microsoft	PROPN
aiti-13516	222	15	visual	visual	PROPN
aiti-13516	222	16	studio	studio	PROPN
aiti-13516	222	17	2013	2013	NUM
aiti-13516	222	18	)	)	PUNCT
aiti-13516	222	19	.	.	PUNCT
aiti-13516	223	1	4.1	4.1	NUM
aiti-13516	223	2	.	.	PUNCT
aiti-13516	223	3	database	database	NOUN
aiti-13516	223	4	in	in	ADP
aiti-13516	223	5	this	this	DET
aiti-13516	223	6	study	study	NOUN
aiti-13516	223	7	,	,	PUNCT
aiti-13516	223	8	the	the	DET
aiti-13516	223	9	iit	iit	PROPN
aiti-13516	223	10	delhi	delhi	PROPN
aiti-13516	223	11	iris	iris	NOUN
aiti-13516	223	12	images	image	NOUN
aiti-13516	223	13	database	database	NOUN
aiti-13516	223	14	version	version	NOUN
aiti-13516	223	15	1.0	1.0	NUM
aiti-13516	223	16	is	be	AUX
aiti-13516	223	17	utilized	utilize	VERB
aiti-13516	223	18	[	[	PUNCT
aiti-13516	223	19	24	24	NUM
aiti-13516	223	20	]	]	PUNCT
aiti-13516	223	21	.	.	PUNCT
aiti-13516	224	1	the	the	DET
aiti-13516	224	2	majority	majority	NOUN
aiti-13516	224	3	of	of	ADP
aiti-13516	224	4	the	the	DET
aiti-13516	224	5	iris	iris	NOUN
aiti-13516	224	6	scans	scan	NOUN
aiti-13516	224	7	in	in	ADP
aiti-13516	224	8	this	this	DET
aiti-13516	224	9	database	database	NOUN
aiti-13516	224	10	were	be	AUX
aiti-13516	224	11	taken	take	VERB
aiti-13516	224	12	from	from	ADP
aiti-13516	224	13	the	the	DET
aiti-13516	224	14	students	student	NOUN
aiti-13516	224	15	of	of	ADP
aiti-13516	224	16	the	the	DET
aiti-13516	224	17	indian	indian	PROPN
aiti-13516	224	18	institute	institute	PROPN
aiti-13516	224	19	of	of	ADP
aiti-13516	224	20	technology	technology	PROPN
aiti-13516	224	21	,	,	PUNCT
aiti-13516	224	22	delhi	delhi	ADJ
aiti-13516	224	23	,	,	PUNCT
aiti-13516	224	24	and	and	CCONJ
aiti-13516	224	25	personnel	personnel	NOUN
aiti-13516	224	26	in	in	ADP
aiti-13516	224	27	india	india	PROPN
aiti-13516	224	28	.	.	PUNCT
aiti-13516	225	1	the	the	DET
aiti-13516	225	2	database	database	NOUN
aiti-13516	225	3	was	be	AUX
aiti-13516	225	4	compiled	compile	VERB
aiti-13516	225	5	using	use	VERB
aiti-13516	225	6	jiris	jiris	PROPN
aiti-13516	225	7	,	,	PUNCT
aiti-13516	225	8	jpc1000	jpc1000	NOUN
aiti-13516	225	9	,	,	PUNCT
aiti-13516	225	10	and	and	CCONJ
aiti-13516	225	11	cmos	cmos	PROPN
aiti-13516	225	12	camera	camera	NOUN
aiti-13516	225	13	,	,	PUNCT
aiti-13516	225	14	in	in	ADP
aiti-13516	225	15	the	the	DET
aiti-13516	225	16	biometrics	biometric	NOUN
aiti-13516	225	17	research	research	NOUN
aiti-13516	225	18	laboratory	laboratory	NOUN
aiti-13516	225	19	from	from	ADP
aiti-13516	225	20	january	january	PROPN
aiti-13516	225	21	to	to	ADP
aiti-13516	225	22	july	july	PROPN
aiti-13516	225	23	2007	2007	NUM
aiti-13516	225	24	.	.	PUNCT
aiti-13516	226	1	the	the	DET
aiti-13516	226	2	advances	advance	NOUN
aiti-13516	226	3	in	in	ADP
aiti-13516	226	4	technology	technology	NOUN
aiti-13516	226	5	innovation	innovation	NOUN
aiti-13516	226	6	,	,	PUNCT
aiti-13516	226	7	vol	vol	NOUN
aiti-13516	226	8	.	.	PROPN
aiti-13516	226	9	9	9	NUM
aiti-13516	226	10	,	,	PUNCT
aiti-13516	226	11	no	no	INTJ
aiti-13516	226	12	.	.	NOUN
aiti-13516	226	13	3	3	NUM
aiti-13516	226	14	,	,	PUNCT
aiti-13516	226	15	2024	2024	NUM
aiti-13516	226	16	,	,	PUNCT
aiti-13516	226	17	pp	pp	ADV
aiti-13516	226	18	.	.	PUNCT
aiti-13516	226	19	197	197	NUM
aiti-13516	226	20	-	-	SYM
aiti-13516	226	21	209	209	NUM
aiti-13516	226	22	205	205	NUM
aiti-13516	226	23	photos	photo	NOUN
aiti-13516	226	24	captured	capture	VERB
aiti-13516	226	25	were	be	AUX
aiti-13516	226	26	stored	store	VERB
aiti-13516	226	27	in	in	ADP
aiti-13516	226	28	bitmap	bitmap	NOUN
aiti-13516	226	29	format	format	NOUN
aiti-13516	226	30	.	.	PUNCT
aiti-13516	227	1	2,240	2,240	NUM
aiti-13516	227	2	photos	photo	NOUN
aiti-13516	227	3	in	in	ADP
aiti-13516	227	4	the	the	DET
aiti-13516	227	5	database	database	NOUN
aiti-13516	227	6	were	be	AUX
aiti-13516	227	7	collected	collect	VERB
aiti-13516	227	8	from	from	ADP
aiti-13516	227	9	224	224	NUM
aiti-13516	227	10	individuals	individual	NOUN
aiti-13516	227	11	and	and	CCONJ
aiti-13516	227	12	rendered	render	VERB
aiti-13516	227	13	freely	freely	ADV
aiti-13516	227	14	available	available	ADJ
aiti-13516	227	15	to	to	ADP
aiti-13516	227	16	the	the	DET
aiti-13516	227	17	researchers	researcher	NOUN
aiti-13516	227	18	.	.	PUNCT
aiti-13516	228	1	the	the	DET
aiti-13516	228	2	participants	participant	NOUN
aiti-13516	228	3	account	account	VERB
aiti-13516	228	4	for	for	ADP
aiti-13516	228	5	176	176	NUM
aiti-13516	228	6	men	man	NOUN
aiti-13516	228	7	and	and	CCONJ
aiti-13516	228	8	48	48	NUM
aiti-13516	228	9	women	woman	NOUN
aiti-13516	228	10	who	who	PRON
aiti-13516	228	11	are	be	AUX
aiti-13516	228	12	all	all	ADV
aiti-13516	228	13	between	between	ADP
aiti-13516	228	14	the	the	DET
aiti-13516	228	15	ages	age	NOUN
aiti-13516	228	16	of	of	ADP
aiti-13516	228	17	14	14	NUM
aiti-13516	228	18	and	and	CCONJ
aiti-13516	228	19	55	55	NUM
aiti-13516	228	20	.	.	PUNCT
aiti-13516	229	1	all	all	PRON
aiti-13516	229	2	of	of	ADP
aiti-13516	229	3	the	the	DET
aiti-13516	229	4	images	image	NOUN
aiti-13516	229	5	in	in	ADP
aiti-13516	229	6	this	this	DET
aiti-13516	229	7	collection	collection	NOUN
aiti-13516	229	8	have	have	VERB
aiti-13516	229	9	a	a	DET
aiti-13516	229	10	resolution	resolution	NOUN
aiti-13516	229	11	of	of	ADP
aiti-13516	229	12	320	320	NUM
aiti-13516	229	13	by	by	ADP
aiti-13516	229	14	240	240	NUM
aiti-13516	229	15	pixels	pixel	NOUN
aiti-13516	229	16	and	and	CCONJ
aiti-13516	229	17	were	be	AUX
aiti-13516	229	18	all	all	ADV
aiti-13516	229	19	taken	take	VERB
aiti-13516	229	20	indoors	indoor	NOUN
aiti-13516	229	21	.	.	PUNCT
aiti-13516	230	1	all	all	PRON
aiti-13516	230	2	of	of	ADP
aiti-13516	230	3	the	the	DET
aiti-13516	230	4	photographs	photograph	NOUN
aiti-13516	230	5	in	in	ADP
aiti-13516	230	6	the	the	DET
aiti-13516	230	7	database	database	NOUN
aiti-13516	230	8	yielded	yield	VERB
aiti-13516	230	9	from	from	ADP
aiti-13516	230	10	unpaid	unpaid	ADJ
aiti-13516	230	11	volunteers	volunteer	NOUN
aiti-13516	230	12	who	who	PRON
aiti-13516	230	13	received	receive	VERB
aiti-13516	230	14	no	no	DET
aiti-13516	230	15	payment	payment	NOUN
aiti-13516	230	16	or	or	CCONJ
aiti-13516	230	17	honoraria	honorarium	NOUN
aiti-13516	230	18	.	.	PUNCT
aiti-13516	231	1	participants	participant	NOUN
aiti-13516	231	2	must	must	AUX
aiti-13516	231	3	present	present	VERB
aiti-13516	231	4	their	their	PRON
aiti-13516	231	5	eyes	eye	NOUN
aiti-13516	231	6	sequentially	sequentially	ADV
aiti-13516	231	7	until	until	SCONJ
aiti-13516	231	8	ten	ten	NUM
aiti-13516	231	9	photos	photo	NOUN
aiti-13516	231	10	are	be	AUX
aiti-13516	231	11	registered	register	VERB
aiti-13516	231	12	for	for	ADP
aiti-13516	231	13	the	the	DET
aiti-13516	231	14	images	image	NOUN
aiti-13516	231	15	to	to	PART
aiti-13516	231	16	be	be	AUX
aiti-13516	231	17	captured	capture	VERB
aiti-13516	231	18	using	use	VERB
aiti-13516	231	19	an	an	DET
aiti-13516	231	20	automated	automate	VERB
aiti-13516	231	21	program	program	NOUN
aiti-13516	231	22	.	.	PUNCT
aiti-13516	232	1	to	to	PART
aiti-13516	232	2	examine	examine	VERB
aiti-13516	232	3	the	the	DET
aiti-13516	232	4	proposed	propose	VERB
aiti-13516	232	5	scheme	scheme	NOUN
aiti-13516	232	6	,	,	PUNCT
aiti-13516	232	7	every	every	DET
aiti-13516	232	8	image	image	NOUN
aiti-13516	232	9	in	in	ADP
aiti-13516	232	10	the	the	DET
aiti-13516	232	11	database	database	NOUN
aiti-13516	232	12	has	have	AUX
aiti-13516	232	13	been	be	AUX
aiti-13516	232	14	used	use	VERB
aiti-13516	232	15	.	.	PUNCT
aiti-13516	233	1	samples	sample	NOUN
aiti-13516	233	2	from	from	ADP
aiti-13516	233	3	the	the	DET
aiti-13516	233	4	iit	iit	PROPN
aiti-13516	233	5	delhi	delhi	PROPN
aiti-13516	233	6	dataset	dataset	PROPN
aiti-13516	233	7	are	be	AUX
aiti-13516	233	8	shown	show	VERB
aiti-13516	233	9	in	in	ADP
aiti-13516	233	10	fig	fig	NOUN
aiti-13516	233	11	.	.	PUNCT
aiti-13516	234	1	9	9	X
aiti-13516	234	2	.	.	X
aiti-13516	234	3	fig	fig	NOUN
aiti-13516	234	4	.	.	PUNCT
aiti-13516	235	1	9	9	NUM
aiti-13516	235	2	samples	sample	NOUN
aiti-13516	235	3	of	of	ADP
aiti-13516	235	4	the	the	DET
aiti-13516	235	5	iit	iit	PROPN
aiti-13516	235	6	delhi	delhi	PROPN
aiti-13516	235	7	dataset	dataset	VERB
aiti-13516	235	8	4.2	4.2	NUM
aiti-13516	235	9	.	.	PUNCT
aiti-13516	236	1	result	result	NOUN
aiti-13516	236	2	-	-	PUNCT
aiti-13516	236	3	based	base	VERB
aiti-13516	236	4	segmentation	segmentation	NOUN
aiti-13516	236	5	fig	fig	NOUN
aiti-13516	236	6	.	.	PUNCT
aiti-13516	237	1	10	10	NUM
aiti-13516	237	2	presents	present	VERB
aiti-13516	237	3	samples	sample	NOUN
aiti-13516	237	4	of	of	ADP
aiti-13516	237	5	correct	correct	ADJ
aiti-13516	237	6	iris	iris	NOUN
aiti-13516	237	7	image	image	NOUN
aiti-13516	237	8	segmentation	segmentation	NOUN
aiti-13516	237	9	scheme	scheme	NOUN
aiti-13516	237	10	steps	step	NOUN
aiti-13516	237	11	using	use	VERB
aiti-13516	237	12	the	the	DET
aiti-13516	237	13	proposed	propose	VERB
aiti-13516	237	14	algorithm	algorithm	NOUN
aiti-13516	237	15	.	.	PUNCT
aiti-13516	238	1	however	however	ADV
aiti-13516	238	2	,	,	PUNCT
aiti-13516	238	3	the	the	DET
aiti-13516	238	4	segmentation	segmentation	NOUN
aiti-13516	238	5	stage	stage	NOUN
aiti-13516	238	6	was	be	AUX
aiti-13516	238	7	hindered	hinder	VERB
aiti-13516	238	8	because	because	SCONJ
aiti-13516	238	9	of	of	ADP
aiti-13516	238	10	differences	difference	NOUN
aiti-13516	238	11	in	in	ADP
aiti-13516	238	12	iris	iris	NOUN
aiti-13516	238	13	images	image	NOUN
aiti-13516	238	14	and	and	CCONJ
aiti-13516	238	15	occlusions	occlusion	NOUN
aiti-13516	238	16	of	of	ADP
aiti-13516	238	17	the	the	DET
aiti-13516	238	18	eyelashes	eyelash	NOUN
aiti-13516	238	19	and	and	CCONJ
aiti-13516	238	20	lids	lid	NOUN
aiti-13516	238	21	incurring	incur	VERB
aiti-13516	238	22	incorrect	incorrect	ADJ
aiti-13516	238	23	segmentation	segmentation	NOUN
aiti-13516	238	24	,	,	PUNCT
aiti-13516	238	25	as	as	SCONJ
aiti-13516	238	26	shown	show	VERB
aiti-13516	238	27	in	in	ADP
aiti-13516	238	28	fig	fig	NOUN
aiti-13516	238	29	.	.	PUNCT
aiti-13516	239	1	11	11	NUM
aiti-13516	239	2	.	.	X
aiti-13516	239	3	fig	fig	NOUN
aiti-13516	239	4	.	.	PUNCT
aiti-13516	240	1	10	10	NUM
aiti-13516	240	2	iris	iris	NOUN
aiti-13516	240	3	image	image	NOUN
aiti-13516	240	4	segmentation	segmentation	NOUN
aiti-13516	240	5	steps	step	NOUN
aiti-13516	240	6	using	use	VERB
aiti-13516	240	7	the	the	DET
aiti-13516	240	8	proposed	propose	VERB
aiti-13516	240	9	algorithm	algorithm	NOUN
aiti-13516	240	10	206	206	NUM
aiti-13516	240	11	advances	advance	NOUN
aiti-13516	240	12	in	in	ADP
aiti-13516	240	13	technology	technology	NOUN
aiti-13516	240	14	innovation	innovation	NOUN
aiti-13516	240	15	,	,	PUNCT
aiti-13516	240	16	vol	vol	NOUN
aiti-13516	240	17	.	.	PROPN
aiti-13516	240	18	9	9	NUM
aiti-13516	240	19	,	,	PUNCT
aiti-13516	240	20	no	no	INTJ
aiti-13516	240	21	.	.	NOUN
aiti-13516	240	22	3	3	NUM
aiti-13516	240	23	,	,	PUNCT
aiti-13516	240	24	2024	2024	NUM
aiti-13516	240	25	,	,	PUNCT
aiti-13516	240	26	pp	pp	ADV
aiti-13516	240	27	.	.	PUNCT
aiti-13516	240	28	197	197	NUM
aiti-13516	240	29	-	-	SYM
aiti-13516	240	30	209	209	NUM
aiti-13516	240	31	fig	fig	NOUN
aiti-13516	240	32	.	.	PUNCT
aiti-13516	241	1	10	10	NUM
aiti-13516	241	2	iris	iris	NOUN
aiti-13516	241	3	image	image	NOUN
aiti-13516	241	4	segmentation	segmentation	NOUN
aiti-13516	241	5	steps	step	NOUN
aiti-13516	241	6	using	use	VERB
aiti-13516	241	7	the	the	DET
aiti-13516	241	8	proposed	propose	VERB
aiti-13516	241	9	algorithm	algorithm	NOUN
aiti-13516	241	10	(	(	PUNCT
aiti-13516	241	11	continued	continued	ADJ
aiti-13516	241	12	)	)	PUNCT
aiti-13516	241	13	fig	fig	NOUN
aiti-13516	241	14	.	.	PUNCT
aiti-13516	242	1	11	11	NUM
aiti-13516	242	2	samples	sample	NOUN
aiti-13516	242	3	of	of	ADP
aiti-13516	242	4	incorrect	incorrect	ADJ
aiti-13516	242	5	image	image	NOUN
aiti-13516	242	6	segmentation	segmentation	NOUN
aiti-13516	242	7	to	to	PART
aiti-13516	242	8	perform	perform	VERB
aiti-13516	242	9	the	the	DET
aiti-13516	242	10	computations	computation	NOUN
aiti-13516	242	11	and	and	CCONJ
aiti-13516	242	12	evaluate	evaluate	VERB
aiti-13516	242	13	the	the	DET
aiti-13516	242	14	flawed	flawed	ADJ
aiti-13516	242	15	cropping	cropping	NOUN
aiti-13516	242	16	manually	manually	ADV
aiti-13516	242	17	,	,	PUNCT
aiti-13516	242	18	the	the	DET
aiti-13516	242	19	accuracy	accuracy	NOUN
aiti-13516	242	20	can	can	AUX
aiti-13516	242	21	be	be	AUX
aiti-13516	242	22	determined	determine	VERB
aiti-13516	242	23	based	base	VERB
aiti-13516	242	24	on	on	ADP
aiti-13516	242	25	[	[	X
aiti-13516	242	26	2526	2526	NUM
aiti-13516	242	27	]	]	PUNCT
aiti-13516	242	28	using	use	VERB
aiti-13516	242	29	the	the	DET
aiti-13516	242	30	formula	formula	NOUN
aiti-13516	242	31	below	below	ADV
aiti-13516	242	32	.	.	PUNCT
aiti-13516	243	1	=	=	PUNCT
aiti-13516	243	2	image	image	NOUN
aiti-13516	243	3	image	image	NOUN
aiti-13516	243	4	corect	corect	NOUN
aiti-13516	243	5	accurcy	accurcy	PROPN
aiti-13516	243	6	all	all	PRON
aiti-13516	243	7	(	(	PUNCT
aiti-13516	243	8	8)	8)	NUM
aiti-13516	243	9	based	base	VERB
aiti-13516	243	10	on	on	ADP
aiti-13516	243	11	eq	eq	PROPN
aiti-13516	243	12	.	.	PUNCT
aiti-13516	244	1	(	(	PUNCT
aiti-13516	244	2	8)	8)	NUM
aiti-13516	244	3	,	,	PUNCT
aiti-13516	244	4	the	the	DET
aiti-13516	244	5	accuracy	accuracy	NOUN
aiti-13516	244	6	of	of	ADP
aiti-13516	244	7	the	the	DET
aiti-13516	244	8	proposed	propose	VERB
aiti-13516	244	9	scheme	scheme	NOUN
aiti-13516	244	10	reaches	reach	VERB
aiti-13516	244	11	93	93	NUM
aiti-13516	244	12	%	%	NOUN
aiti-13516	244	13	.	.	PUNCT
aiti-13516	245	1	4.3	4.3	NUM
aiti-13516	245	2	.	.	PUNCT
aiti-13516	246	1	results	result	NOUN
aiti-13516	246	2	-	-	PUNCT
aiti-13516	246	3	based	base	VERB
aiti-13516	246	4	recognition	recognition	NOUN
aiti-13516	246	5	the	the	DET
aiti-13516	246	6	structure	structure	NOUN
aiti-13516	246	7	of	of	ADP
aiti-13516	246	8	the	the	DET
aiti-13516	246	9	proposed	propose	VERB
aiti-13516	246	10	cnn	cnn	PROPN
aiti-13516	246	11	consists	consist	VERB
aiti-13516	246	12	of	of	ADP
aiti-13516	246	13	two	two	NUM
aiti-13516	246	14	convo	convo	NOUN
aiti-13516	246	15	layers	layer	NOUN
aiti-13516	246	16	,	,	PUNCT
aiti-13516	246	17	two	two	NUM
aiti-13516	246	18	pool	pool	NOUN
aiti-13516	246	19	layers	layer	NOUN
aiti-13516	246	20	,	,	PUNCT
aiti-13516	246	21	one	one	NUM
aiti-13516	246	22	for	for	ADP
aiti-13516	246	23	each	each	DET
aiti-13516	246	24	fc	fc	PROPN
aiti-13516	246	25	,	,	PUNCT
aiti-13516	246	26	and	and	CCONJ
aiti-13516	246	27	a	a	DET
aiti-13516	246	28	softmax	softmax	NOUN
aiti-13516	246	29	layer	layer	NOUN
aiti-13516	246	30	.	.	PUNCT
aiti-13516	247	1	the	the	DET
aiti-13516	247	2	rate	rate	NOUN
aiti-13516	247	3	of	of	ADP
aiti-13516	247	4	learning	learning	NOUN
aiti-13516	247	5	is	be	AUX
aiti-13516	247	6	0.0001	0.0001	NUM
aiti-13516	247	7	.	.	PUNCT
aiti-13516	248	1	in	in	ADP
aiti-13516	248	2	addition	addition	NOUN
aiti-13516	248	3	,	,	PUNCT
aiti-13516	248	4	the	the	DET
aiti-13516	248	5	standard	standard	ADJ
aiti-13516	248	6	stride	stride	ADJ
aiti-13516	248	7	size	size	NOUN
aiti-13516	248	8	having	having	AUX
aiti-13516	248	9	been	be	AUX
aiti-13516	248	10	applied	apply	VERB
aiti-13516	248	11	is	be	AUX
aiti-13516	248	12	equal	equal	ADJ
aiti-13516	248	13	to	to	ADP
aiti-13516	248	14	1	1	NUM
aiti-13516	248	15	.	.	PUNCT
aiti-13516	249	1	two	two	NUM
aiti-13516	249	2	experiments	experiment	NOUN
aiti-13516	249	3	are	be	AUX
aiti-13516	249	4	conducted	conduct	VERB
aiti-13516	249	5	.	.	PUNCT
aiti-13516	250	1	the	the	DET
aiti-13516	250	2	first	first	ADJ
aiti-13516	250	3	experiment	experiment	NOUN
aiti-13516	250	4	uses	use	VERB
aiti-13516	250	5	half	half	NOUN
aiti-13516	250	6	of	of	ADP
aiti-13516	250	7	the	the	DET
aiti-13516	250	8	dataset	dataset	NOUN
aiti-13516	250	9	’s	’s	PART
aiti-13516	250	10	images	image	NOUN
aiti-13516	250	11	,	,	PUNCT
aiti-13516	250	12	and	and	CCONJ
aiti-13516	250	13	the	the	DET
aiti-13516	250	14	second	second	ADJ
aiti-13516	250	15	uses	use	VERB
aiti-13516	250	16	all	all	PRON
aiti-13516	250	17	of	of	ADP
aiti-13516	250	18	the	the	DET
aiti-13516	250	19	images	image	NOUN
aiti-13516	250	20	.	.	PUNCT
aiti-13516	251	1	the	the	DET
aiti-13516	251	2	dataset	dataset	NOUN
aiti-13516	251	3	used	use	VERB
aiti-13516	251	4	is	be	AUX
aiti-13516	251	5	categorized	categorize	VERB
aiti-13516	251	6	into	into	ADP
aiti-13516	251	7	80	80	NUM
aiti-13516	251	8	%	%	NOUN
aiti-13516	251	9	training	training	NOUN
aiti-13516	251	10	and	and	CCONJ
aiti-13516	251	11	20	20	NUM
aiti-13516	251	12	%	%	NOUN
aiti-13516	251	13	testing	testing	NOUN
aiti-13516	251	14	.	.	PUNCT
aiti-13516	252	1	moreover	moreover	ADV
aiti-13516	252	2	,	,	PUNCT
aiti-13516	252	3	the	the	DET
aiti-13516	252	4	pre	pre	ADJ
aiti-13516	252	5	-	-	ADJ
aiti-13516	252	6	trained	train	VERB
aiti-13516	252	7	alexnet	alexnet	ADJ
aiti-13516	252	8	model	model	NOUN
aiti-13516	252	9	has	have	AUX
aiti-13516	252	10	been	be	AUX
aiti-13516	252	11	employed	employ	VERB
aiti-13516	252	12	to	to	PART
aiti-13516	252	13	extract	extract	VERB
aiti-13516	252	14	features	feature	NOUN
aiti-13516	252	15	.	.	PUNCT
aiti-13516	253	1	the	the	DET
aiti-13516	253	2	accuracy	accuracy	NOUN
aiti-13516	253	3	rate	rate	NOUN
aiti-13516	253	4	of	of	ADP
aiti-13516	253	5	ratio	ratio	NOUN
aiti-13516	253	6	recognition	recognition	NOUN
aiti-13516	253	7	varies	vary	VERB
aiti-13516	253	8	with	with	ADP
aiti-13516	253	9	the	the	DET
aiti-13516	253	10	number	number	NOUN
aiti-13516	253	11	of	of	ADP
aiti-13516	253	12	epochs	epoch	NOUN
aiti-13516	253	13	,	,	PUNCT
aiti-13516	253	14	as	as	SCONJ
aiti-13516	253	15	shown	show	VERB
aiti-13516	253	16	in	in	ADP
aiti-13516	253	17	fig	fig	NOUN
aiti-13516	253	18	.	.	PUNCT
aiti-13516	254	1	12	12	NUM
aiti-13516	254	2	.	.	PUNCT
aiti-13516	254	3	fig	fig	NOUN
aiti-13516	254	4	.	.	PUNCT
aiti-13516	255	1	12	12	NUM
aiti-13516	255	2	accuracy	accuracy	NOUN
aiti-13516	255	3	recognition	recognition	NOUN
aiti-13516	255	4	rate	rate	NOUN
aiti-13516	255	5	advances	advance	NOUN
aiti-13516	255	6	in	in	ADP
aiti-13516	255	7	technology	technology	NOUN
aiti-13516	255	8	innovation	innovation	NOUN
aiti-13516	255	9	,	,	PUNCT
aiti-13516	255	10	vol	vol	NOUN
aiti-13516	255	11	.	.	PROPN
aiti-13516	256	1	9	9	NUM
aiti-13516	256	2	,	,	PUNCT
aiti-13516	256	3	no	no	INTJ
aiti-13516	256	4	.	.	NOUN
aiti-13516	256	5	3	3	NUM
aiti-13516	256	6	,	,	PUNCT
aiti-13516	256	7	2024	2024	NUM
aiti-13516	256	8	,	,	PUNCT
aiti-13516	256	9	pp	pp	ADV
aiti-13516	256	10	.	.	PUNCT
aiti-13516	257	1	197	197	NUM
aiti-13516	257	2	-	-	SYM
aiti-13516	257	3	209	209	NUM
aiti-13516	257	4	207	207	NUM
aiti-13516	257	5	specifically	specifically	ADV
aiti-13516	257	6	,	,	PUNCT
aiti-13516	257	7	fig	fig	NOUN
aiti-13516	257	8	.	.	PUNCT
aiti-13516	257	9	12	12	NUM
aiti-13516	257	10	indicates	indicate	VERB
aiti-13516	257	11	the	the	DET
aiti-13516	257	12	number	number	NOUN
aiti-13516	257	13	of	of	ADP
aiti-13516	257	14	epochs	epoch	NOUN
aiti-13516	257	15	is	be	AUX
aiti-13516	257	16	directly	directly	ADV
aiti-13516	257	17	proportional	proportional	ADJ
aiti-13516	257	18	to	to	ADP
aiti-13516	257	19	the	the	DET
aiti-13516	257	20	performance	performance	NOUN
aiti-13516	257	21	.	.	PUNCT
aiti-13516	258	1	as	as	ADP
aiti-13516	258	2	a	a	DET
aiti-13516	258	3	result	result	NOUN
aiti-13516	258	4	,	,	PUNCT
aiti-13516	258	5	five	five	NUM
aiti-13516	258	6	epochs	epoch	NOUN
aiti-13516	258	7	were	be	AUX
aiti-13516	258	8	considered	consider	VERB
aiti-13516	258	9	in	in	ADP
aiti-13516	258	10	the	the	DET
aiti-13516	258	11	final	final	ADJ
aiti-13516	258	12	implementation	implementation	NOUN
aiti-13516	258	13	.	.	PUNCT
aiti-13516	259	1	the	the	DET
aiti-13516	259	2	recognition	recognition	NOUN
aiti-13516	259	3	model	model	NOUN
aiti-13516	259	4	outperforms	outperform	VERB
aiti-13516	259	5	smaller	small	ADJ
aiti-13516	259	6	datasets	dataset	NOUN
aiti-13516	259	7	due	due	ADJ
aiti-13516	259	8	to	to	ADP
aiti-13516	259	9	growing	grow	VERB
aiti-13516	259	10	excessively	excessively	ADV
aiti-13516	259	11	intricate	intricate	ADJ
aiti-13516	259	12	and	and	CCONJ
aiti-13516	259	13	recording	record	VERB
aiti-13516	259	14	noises	noise	NOUN
aiti-13516	259	15	or	or	CCONJ
aiti-13516	259	16	random	random	ADJ
aiti-13516	259	17	fluctuations	fluctuation	NOUN
aiti-13516	259	18	in	in	ADP
aiti-13516	259	19	the	the	DET
aiti-13516	259	20	data	datum	NOUN
aiti-13516	259	21	while	while	SCONJ
aiti-13516	259	22	working	work	VERB
aiti-13516	259	23	with	with	ADP
aiti-13516	259	24	similar	similar	ADJ
aiti-13516	259	25	image	image	NOUN
aiti-13516	259	26	datasets	dataset	NOUN
aiti-13516	259	27	.	.	PUNCT
aiti-13516	260	1	therefore	therefore	ADV
aiti-13516	260	2	,	,	PUNCT
aiti-13516	260	3	the	the	DET
aiti-13516	260	4	accuracy	accuracy	NOUN
aiti-13516	260	5	reaches	reach	VERB
aiti-13516	260	6	97.5	97.5	NUM
aiti-13516	260	7	%	%	NOUN
aiti-13516	260	8	when	when	SCONJ
aiti-13516	260	9	using	use	VERB
aiti-13516	260	10	the	the	DET
aiti-13516	260	11	full	full	ADJ
aiti-13516	260	12	dataset	dataset	NOUN
aiti-13516	260	13	.	.	PUNCT
aiti-13516	261	1	on	on	ADP
aiti-13516	261	2	the	the	DET
aiti-13516	261	3	other	other	ADJ
aiti-13516	261	4	hand	hand	NOUN
aiti-13516	261	5	,	,	PUNCT
aiti-13516	261	6	the	the	DET
aiti-13516	261	7	optimal	optimal	ADJ
aiti-13516	261	8	accuracy	accuracy	NOUN
aiti-13516	261	9	reaches	reach	VERB
aiti-13516	261	10	98.8	98.8	NUM
aiti-13516	261	11	%	%	NOUN
aiti-13516	261	12	when	when	SCONJ
aiti-13516	261	13	using	use	VERB
aiti-13516	261	14	half	half	NOUN
aiti-13516	261	15	of	of	ADP
aiti-13516	261	16	the	the	DET
aiti-13516	261	17	dataset	dataset	NOUN
aiti-13516	261	18	.	.	PUNCT
aiti-13516	262	1	furthermore	furthermore	ADV
aiti-13516	262	2	,	,	PUNCT
aiti-13516	262	3	fig.13	fig.13	PROPN
aiti-13516	262	4	illustrates	illustrate	VERB
aiti-13516	262	5	roc	roc	PROPN
aiti-13516	262	6	curves	curve	NOUN
aiti-13516	262	7	depicting	depict	VERB
aiti-13516	262	8	the	the	DET
aiti-13516	262	9	performance	performance	NOUN
aiti-13516	262	10	characteristics	characteristic	NOUN
aiti-13516	262	11	and	and	CCONJ
aiti-13516	262	12	demonstrating	demonstrate	VERB
aiti-13516	262	13	the	the	DET
aiti-13516	262	14	accuracy	accuracy	NOUN
aiti-13516	262	15	of	of	ADP
aiti-13516	262	16	ir	ir	PROPN
aiti-13516	262	17	results	result	NOUN
aiti-13516	262	18	.	.	PUNCT
aiti-13516	263	1	fig	fig	NOUN
aiti-13516	263	2	.	.	PUNCT
aiti-13516	264	1	13	13	NUM
aiti-13516	264	2	roc	roc	PROPN
aiti-13516	264	3	curve	curve	NOUN
aiti-13516	264	4	5	5	NUM
aiti-13516	264	5	.	.	PUNCT
aiti-13516	264	6	conclusion	conclusion	NOUN
aiti-13516	264	7	in	in	ADP
aiti-13516	264	8	this	this	DET
aiti-13516	264	9	study	study	NOUN
aiti-13516	264	10	,	,	PUNCT
aiti-13516	264	11	two	two	NUM
aiti-13516	264	12	phases	phase	NOUN
aiti-13516	264	13	emerge	emerge	VERB
aiti-13516	264	14	to	to	ADP
aiti-13516	264	15	the	the	DET
aiti-13516	264	16	proposed	propose	VERB
aiti-13516	264	17	scheme	scheme	NOUN
aiti-13516	264	18	,	,	PUNCT
aiti-13516	264	19	i.e.	i.e.	X
aiti-13516	264	20	,	,	PUNCT
aiti-13516	264	21	the	the	DET
aiti-13516	264	22	segmentation	segmentation	NOUN
aiti-13516	264	23	method	method	NOUN
aiti-13516	264	24	as	as	ADP
aiti-13516	264	25	the	the	DET
aiti-13516	264	26	first	first	ADJ
aiti-13516	264	27	phase	phase	NOUN
aiti-13516	264	28	and	and	CCONJ
aiti-13516	264	29	the	the	DET
aiti-13516	264	30	ir	ir	NOUN
aiti-13516	264	31	technique	technique	NOUN
aiti-13516	264	32	based	base	VERB
aiti-13516	264	33	on	on	ADP
aiti-13516	264	34	cnn	cnn	PROPN
aiti-13516	264	35	as	as	ADP
aiti-13516	264	36	the	the	DET
aiti-13516	264	37	second	second	ADJ
aiti-13516	264	38	phase	phase	NOUN
aiti-13516	264	39	.	.	PUNCT
aiti-13516	265	1	a	a	DET
aiti-13516	265	2	major	major	ADJ
aiti-13516	265	3	component	component	NOUN
aiti-13516	265	4	of	of	ADP
aiti-13516	265	5	ir	ir	PROPN
aiti-13516	265	6	systems	system	NOUN
aiti-13516	265	7	is	be	AUX
aiti-13516	265	8	iris	iris	NOUN
aiti-13516	265	9	segmentation	segmentation	NOUN
aiti-13516	265	10	algorithms	algorithm	NOUN
aiti-13516	265	11	.	.	PUNCT
aiti-13516	266	1	any	any	DET
aiti-13516	266	2	biometric	biometric	ADJ
aiti-13516	266	3	authentication	authentication	NOUN
aiti-13516	266	4	system	system	NOUN
aiti-13516	266	5	includes	include	VERB
aiti-13516	266	6	the	the	DET
aiti-13516	266	7	segmentation	segmentation	NOUN
aiti-13516	266	8	step	step	NOUN
aiti-13516	266	9	for	for	ADP
aiti-13516	266	10	improved	improved	ADJ
aiti-13516	266	11	recognition	recognition	NOUN
aiti-13516	266	12	.	.	PUNCT
aiti-13516	267	1	the	the	DET
aiti-13516	267	2	suggested	suggest	VERB
aiti-13516	267	3	scheme	scheme	NOUN
aiti-13516	267	4	aims	aim	VERB
aiti-13516	267	5	to	to	PART
aiti-13516	267	6	identify	identify	VERB
aiti-13516	267	7	an	an	DET
aiti-13516	267	8	appropriate	appropriate	ADJ
aiti-13516	267	9	segmentation	segmentation	NOUN
aiti-13516	267	10	for	for	ADP
aiti-13516	267	11	images	image	NOUN
aiti-13516	267	12	of	of	ADP
aiti-13516	267	13	the	the	DET
aiti-13516	267	14	iris	iris	NOUN
aiti-13516	267	15	.	.	PUNCT
aiti-13516	268	1	these	these	DET
aiti-13516	268	2	images	image	NOUN
aiti-13516	268	3	include	include	VERB
aiti-13516	268	4	manifold	manifold	ADJ
aiti-13516	268	5	locations	location	NOUN
aiti-13516	268	6	,	,	PUNCT
aiti-13516	268	7	hindering	hinder	VERB
aiti-13516	268	8	the	the	DET
aiti-13516	268	9	accessibility	accessibility	NOUN
aiti-13516	268	10	to	to	PART
aiti-13516	268	11	determine	determine	VERB
aiti-13516	268	12	the	the	DET
aiti-13516	268	13	ideal	ideal	ADJ
aiti-13516	268	14	roi	roi	NOUN
aiti-13516	268	15	.	.	PUNCT
aiti-13516	269	1	the	the	DET
aiti-13516	269	2	proposed	propose	VERB
aiti-13516	269	3	method	method	NOUN
aiti-13516	269	4	uses	use	VERB
aiti-13516	269	5	the	the	DET
aiti-13516	269	6	2d	2d	NUM
aiti-13516	269	7	histogram	histogram	NOUN
aiti-13516	269	8	entropy	entropy	NOUN
aiti-13516	269	9	during	during	ADP
aiti-13516	269	10	the	the	DET
aiti-13516	269	11	binarization	binarization	NOUN
aiti-13516	269	12	.	.	PUNCT
aiti-13516	270	1	morphological	morphological	ADJ
aiti-13516	270	2	dilation	dilation	NOUN
aiti-13516	270	3	is	be	AUX
aiti-13516	270	4	used	use	VERB
aiti-13516	270	5	to	to	PART
aiti-13516	270	6	extract	extract	VERB
aiti-13516	270	7	the	the	DET
aiti-13516	270	8	roi	roi	NOUN
aiti-13516	270	9	while	while	SCONJ
aiti-13516	270	10	increasing	increase	VERB
aiti-13516	270	11	the	the	DET
aiti-13516	270	12	image	image	NOUN
aiti-13516	270	13	’s	’s	PART
aiti-13516	270	14	level	level	NOUN
aiti-13516	270	15	of	of	ADP
aiti-13516	270	16	detail	detail	NOUN
aiti-13516	270	17	.	.	PUNCT
aiti-13516	271	1	the	the	DET
aiti-13516	271	2	results	result	NOUN
aiti-13516	271	3	are	be	AUX
aiti-13516	271	4	regarded	regard	VERB
aiti-13516	271	5	as	as	ADP
aiti-13516	271	6	the	the	DET
aiti-13516	271	7	missing	missing	ADJ
aiti-13516	271	8	-	-	PUNCT
aiti-13516	271	9	cropped	crop	VERB
aiti-13516	271	10	roi	roi	NOUN
aiti-13516	271	11	when	when	SCONJ
aiti-13516	271	12	the	the	DET
aiti-13516	271	13	images	image	NOUN
aiti-13516	271	14	are	be	AUX
aiti-13516	271	15	noticeably	noticeably	ADV
aiti-13516	271	16	misaligned	misalign	VERB
aiti-13516	271	17	.	.	PUNCT
aiti-13516	272	1	the	the	DET
aiti-13516	272	2	accuracy	accuracy	NOUN
aiti-13516	272	3	of	of	ADP
aiti-13516	272	4	the	the	DET
aiti-13516	272	5	segmentation	segmentation	NOUN
aiti-13516	272	6	stands	stand	VERB
aiti-13516	272	7	at	at	ADP
aiti-13516	272	8	approximately	approximately	ADV
aiti-13516	272	9	93	93	NUM
aiti-13516	272	10	%	%	NOUN
aiti-13516	272	11	.	.	PUNCT
aiti-13516	273	1	additionally	additionally	ADV
aiti-13516	273	2	,	,	PUNCT
aiti-13516	273	3	in	in	ADP
aiti-13516	273	4	the	the	DET
aiti-13516	273	5	recognition	recognition	NOUN
aiti-13516	273	6	phase	phase	NOUN
aiti-13516	273	7	,	,	PUNCT
aiti-13516	273	8	the	the	DET
aiti-13516	273	9	accuracy	accuracy	NOUN
aiti-13516	273	10	reaches	reach	VERB
aiti-13516	273	11	98.8	98.8	NUM
aiti-13516	273	12	%	%	NOUN
aiti-13516	273	13	using	use	VERB
aiti-13516	273	14	half	half	NOUN
aiti-13516	273	15	of	of	ADP
aiti-13516	273	16	the	the	DET
aiti-13516	273	17	dataset	dataset	NOUN
aiti-13516	273	18	.	.	PUNCT
aiti-13516	274	1	meanwhile	meanwhile	ADV
aiti-13516	274	2	,	,	PUNCT
aiti-13516	274	3	the	the	DET
aiti-13516	274	4	accuracy	accuracy	NOUN
aiti-13516	274	5	stands	stand	VERB
aiti-13516	274	6	at	at	ADP
aiti-13516	274	7	97.5	97.5	NUM
aiti-13516	274	8	%	%	NOUN
aiti-13516	274	9	using	use	VERB
aiti-13516	274	10	the	the	DET
aiti-13516	274	11	full	full	ADJ
aiti-13516	274	12	dataset	dataset	NOUN
aiti-13516	274	13	.	.	PUNCT
aiti-13516	275	1	roc	roc	PROPN
aiti-13516	275	2	curves	curve	NOUN
aiti-13516	275	3	show	show	VERB
aiti-13516	275	4	the	the	DET
aiti-13516	275	5	accuracy	accuracy	NOUN
aiti-13516	275	6	of	of	ADP
aiti-13516	275	7	the	the	DET
aiti-13516	275	8	findings	finding	NOUN
aiti-13516	275	9	of	of	ADP
aiti-13516	275	10	iris	iris	NOUN
aiti-13516	275	11	identification	identification	NOUN
aiti-13516	275	12	and	and	CCONJ
aiti-13516	275	13	illustrate	illustrate	VERB
aiti-13516	275	14	the	the	DET
aiti-13516	275	15	performance	performance	NOUN
aiti-13516	275	16	characteristics	characteristic	NOUN
aiti-13516	275	17	.	.	PUNCT
aiti-13516	276	1	concerning	concern	VERB
aiti-13516	276	2	future	future	ADJ
aiti-13516	276	3	work	work	NOUN
aiti-13516	276	4	,	,	PUNCT
aiti-13516	276	5	the	the	DET
aiti-13516	276	6	proposed	propose	VERB
aiti-13516	276	7	iris	iris	NOUN
aiti-13516	276	8	scheme	scheme	NOUN
aiti-13516	276	9	is	be	AUX
aiti-13516	276	10	envisaged	envisage	VERB
aiti-13516	276	11	to	to	PART
aiti-13516	276	12	be	be	AUX
aiti-13516	276	13	used	use	VERB
aiti-13516	276	14	on	on	ADP
aiti-13516	276	15	another	another	DET
aiti-13516	276	16	dataset	dataset	NOUN
aiti-13516	276	17	.	.	PUNCT
aiti-13516	277	1	conflicts	conflict	NOUN
aiti-13516	277	2	of	of	ADP
aiti-13516	277	3	interest	interest	NOUN
aiti-13516	277	4	the	the	DET
aiti-13516	277	5	authors	author	NOUN
aiti-13516	277	6	declare	declare	VERB
aiti-13516	277	7	no	no	DET
aiti-13516	277	8	conflict	conflict	NOUN
aiti-13516	277	9	of	of	ADP
aiti-13516	277	10	interest	interest	NOUN
aiti-13516	277	11	.	.	PUNCT
aiti-13516	278	1	statement	statement	NOUN
aiti-13516	278	2	of	of	ADP
aiti-13516	278	3	ethical	ethical	ADJ
aiti-13516	278	4	approval	approval	NOUN
aiti-13516	278	5	all	all	DET
aiti-13516	278	6	procedures	procedure	NOUN
aiti-13516	278	7	performed	perform	VERB
aiti-13516	278	8	in	in	ADP
aiti-13516	278	9	studies	study	NOUN
aiti-13516	278	10	involving	involve	VERB
aiti-13516	278	11	human	human	ADJ
aiti-13516	278	12	participants	participant	NOUN
aiti-13516	278	13	were	be	AUX
aiti-13516	278	14	in	in	ADP
aiti-13516	278	15	accordance	accordance	NOUN
aiti-13516	278	16	with	with	ADP
aiti-13516	278	17	the	the	DET
aiti-13516	278	18	ethical	ethical	ADJ
aiti-13516	278	19	standards	standard	NOUN
aiti-13516	278	20	of	of	ADP
aiti-13516	278	21	the	the	DET
aiti-13516	278	22	institutional	institutional	ADJ
aiti-13516	278	23	and/or	and/or	CCONJ
aiti-13516	278	24	national	national	PROPN
aiti-13516	278	25	research	research	PROPN
aiti-13516	278	26	committee	committee	NOUN
aiti-13516	278	27	and	and	CCONJ
aiti-13516	278	28	with	with	ADP
aiti-13516	278	29	the	the	DET
aiti-13516	278	30	1964	1964	NUM
aiti-13516	278	31	helsinki	helsinki	PROPN
aiti-13516	278	32	declaration	declaration	PROPN
aiti-13516	278	33	and	and	CCONJ
aiti-13516	278	34	its	its	PRON
aiti-13516	278	35	later	later	ADJ
aiti-13516	278	36	amendments	amendment	NOUN
aiti-13516	278	37	or	or	CCONJ
aiti-13516	278	38	comparable	comparable	ADJ
aiti-13516	278	39	ethical	ethical	ADJ
aiti-13516	278	40	standards	standard	NOUN
aiti-13516	278	41	.	.	PUNCT
aiti-13516	279	1	statement	statement	NOUN
aiti-13516	279	2	of	of	ADP
aiti-13516	279	3	informed	informed	ADJ
aiti-13516	279	4	consent	consent	NOUN
aiti-13516	279	5	for	for	ADP
aiti-13516	279	6	this	this	DET
aiti-13516	279	7	type	type	NOUN
aiti-13516	279	8	of	of	ADP
aiti-13516	279	9	study	study	NOUN
aiti-13516	279	10	,	,	PUNCT
aiti-13516	279	11	informed	inform	VERB
aiti-13516	279	12	consent	consent	NOUN
aiti-13516	279	13	is	be	AUX
aiti-13516	279	14	not	not	PART
aiti-13516	279	15	required	require	VERB
aiti-13516	279	16	.	.	PUNCT
aiti-13516	280	1	208	208	NUM
aiti-13516	280	2	advances	advance	NOUN
aiti-13516	280	3	in	in	ADP
aiti-13516	280	4	technology	technology	NOUN
aiti-13516	280	5	innovation	innovation	NOUN
aiti-13516	280	6	,	,	PUNCT
aiti-13516	280	7	vol	vol	NOUN
aiti-13516	280	8	.	.	PROPN
aiti-13516	280	9	9	9	NUM
aiti-13516	280	10	,	,	PUNCT
aiti-13516	280	11	no	no	INTJ
aiti-13516	280	12	.	.	NOUN
aiti-13516	280	13	3	3	NUM
aiti-13516	280	14	,	,	PUNCT
aiti-13516	280	15	2024	2024	NUM
aiti-13516	280	16	,	,	PUNCT
aiti-13516	280	17	pp	pp	ADV
aiti-13516	280	18	.	.	PUNCT
aiti-13516	280	19	197	197	NUM
aiti-13516	280	20	-	-	SYM
aiti-13516	280	21	209	209	NUM
aiti-13516	280	22	references	reference	NOUN
aiti-13516	280	23	[	[	X
aiti-13516	280	24	1	1	NUM
aiti-13516	280	25	]	]	PUNCT
aiti-13516	280	26	i.	i.	PROPN
aiti-13516	280	27	s.	s.	PROPN
aiti-13516	280	28	hussein	hussein	PROPN
aiti-13516	280	29	,	,	PUNCT
aiti-13516	280	30	s.	s.	PROPN
aiti-13516	280	31	b.	b.	PROPN
aiti-13516	281	1	sahibuddin	sahibuddin	PROPN
aiti-13516	281	2	,	,	PUNCT
aiti-13516	281	3	m.	m.	NOUN
aiti-13516	281	4	j.	j.	PROPN
aiti-13516	281	5	nordin	nordin	PROPN
aiti-13516	281	6	,	,	PUNCT
aiti-13516	281	7	and	and	CCONJ
aiti-13516	281	8	n.	n.	PROPN
aiti-13516	281	9	n.	n.	PROPN
aiti-13516	281	10	b.	b.	PROPN
aiti-13516	281	11	a.	a.	PROPN
aiti-13516	281	12	sjarif	sjarif	PROPN
aiti-13516	281	13	,	,	PUNCT
aiti-13516	281	14	“	"	PUNCT
aiti-13516	281	15	multimodal	multimodal	ADJ
aiti-13516	281	16	recognition	recognition	NOUN
aiti-13516	281	17	system	system	NOUN
aiti-13516	281	18	based	base	VERB
aiti-13516	281	19	on	on	ADP
aiti-13516	281	20	highresolution	highresolution	NOUN
aiti-13516	281	21	palmprints	palmprint	NOUN
aiti-13516	281	22	,	,	PUNCT
aiti-13516	281	23	”	"	PUNCT
aiti-13516	281	24	ieee	ieee	NOUN
aiti-13516	281	25	access	access	NOUN
aiti-13516	281	26	,	,	PUNCT
aiti-13516	281	27	vol	vol	NOUN
aiti-13516	281	28	.	.	PROPN
aiti-13516	281	29	8	8	NUM
aiti-13516	281	30	,	,	PUNCT
aiti-13516	281	31	pp	pp	ADJ
aiti-13516	281	32	.	.	PUNCT
aiti-13516	282	1	56113	56113	NUM
aiti-13516	282	2	-	-	SYM
aiti-13516	282	3	56123	56123	NUM
aiti-13516	282	4	,	,	PUNCT
aiti-13516	282	5	2020	2020	NUM
aiti-13516	282	6	.	.	PUNCT
aiti-13516	283	1	[	[	X
aiti-13516	283	2	2	2	NUM
aiti-13516	283	3	]	]	X
aiti-13516	283	4	g.	g.	PROPN
aiti-13516	283	5	huo	huo	PROPN
aiti-13516	283	6	,	,	PUNCT
aiti-13516	283	7	d.	d.	PROPN
aiti-13516	283	8	lin	lin	PROPN
aiti-13516	283	9	,	,	PUNCT
aiti-13516	283	10	and	and	CCONJ
aiti-13516	283	11	m.	m.	NOUN
aiti-13516	283	12	yuan	yuan	PROPN
aiti-13516	283	13	,	,	PUNCT
aiti-13516	283	14	“	"	PUNCT
aiti-13516	283	15	multi	multi	ADJ
aiti-13516	283	16	-	-	ADJ
aiti-13516	283	17	source	source	ADJ
aiti-13516	283	18	heterogeneous	heterogeneous	ADJ
aiti-13516	283	19	iris	iris	NOUN
aiti-13516	283	20	segmentation	segmentation	NOUN
aiti-13516	283	21	method	method	NOUN
aiti-13516	283	22	based	base	VERB
aiti-13516	283	23	on	on	ADP
aiti-13516	283	24	lightweight	lightweight	ADJ
aiti-13516	283	25	convolutional	convolutional	ADJ
aiti-13516	283	26	neural	neural	ADJ
aiti-13516	283	27	network	network	NOUN
aiti-13516	283	28	,	,	PUNCT
aiti-13516	283	29	”	"	PUNCT
aiti-13516	283	30	iet	iet	PROPN
aiti-13516	283	31	image	image	NOUN
aiti-13516	283	32	processing	processing	NOUN
aiti-13516	283	33	,	,	PUNCT
aiti-13516	283	34	vol	vol	NOUN
aiti-13516	283	35	.	.	PROPN
aiti-13516	283	36	17	17	NUM
aiti-13516	283	37	,	,	PUNCT
aiti-13516	283	38	no	no	INTJ
aiti-13516	283	39	.	.	NOUN
aiti-13516	283	40	1	1	NUM
aiti-13516	283	41	,	,	PUNCT
aiti-13516	283	42	pp	pp	ADJ
aiti-13516	283	43	.	.	PUNCT
aiti-13516	284	1	118	118	NUM
aiti-13516	284	2	-	-	SYM
aiti-13516	284	3	131	131	NUM
aiti-13516	284	4	,	,	PUNCT
aiti-13516	284	5	january	january	PROPN
aiti-13516	284	6	2023	2023	NUM
aiti-13516	284	7	.	.	PUNCT
aiti-13516	285	1	[	[	X
aiti-13516	285	2	3	3	X
aiti-13516	285	3	]	]	PUNCT
aiti-13516	285	4	s.	s.	PROPN
aiti-13516	285	5	k.	k.	PROPN
aiti-13516	285	6	balasubramanian	balasubramanian	PROPN
aiti-13516	285	7	,	,	PUNCT
aiti-13516	285	8	v.	v.	PROPN
aiti-13516	285	9	jeganathan	jeganathan	PROPN
aiti-13516	285	10	,	,	PUNCT
aiti-13516	285	11	and	and	CCONJ
aiti-13516	285	12	t.	t.	PROPN
aiti-13516	285	13	subramani	subramani	NOUN
aiti-13516	285	14	,	,	PUNCT
aiti-13516	285	15	“	"	PUNCT
aiti-13516	285	16	deep	deep	ADJ
aiti-13516	285	17	learning	learning	NOUN
aiti-13516	285	18	-	-	PUNCT
aiti-13516	285	19	based	base	VERB
aiti-13516	285	20	iris	iris	NOUN
aiti-13516	285	21	segmentation	segmentation	NOUN
aiti-13516	285	22	algorithm	algorithm	NOUN
aiti-13516	285	23	for	for	ADP
aiti-13516	285	24	effective	effective	ADJ
aiti-13516	285	25	iris	iris	NOUN
aiti-13516	285	26	recognition	recognition	NOUN
aiti-13516	285	27	system	system	NOUN
aiti-13516	285	28	,	,	PUNCT
aiti-13516	285	29	”	"	PUNCT
aiti-13516	285	30	proceedings	proceeding	NOUN
aiti-13516	285	31	of	of	ADP
aiti-13516	285	32	engineering	engineering	NOUN
aiti-13516	285	33	and	and	CCONJ
aiti-13516	285	34	technology	technology	NOUN
aiti-13516	285	35	innovation	innovation	NOUN
aiti-13516	285	36	,	,	PUNCT
aiti-13516	285	37	vol	vol	NOUN
aiti-13516	285	38	.	.	PROPN
aiti-13516	285	39	23	23	NUM
aiti-13516	285	40	,	,	PUNCT
aiti-13516	285	41	pp	pp	ADJ
aiti-13516	285	42	.	.	PUNCT
aiti-13516	286	1	60	60	NUM
aiti-13516	286	2	-	-	SYM
aiti-13516	286	3	70	70	NUM
aiti-13516	286	4	,	,	PUNCT
aiti-13516	286	5	january	january	PROPN
aiti-13516	286	6	2023	2023	NUM
aiti-13516	286	7	.	.	PUNCT
aiti-13516	287	1	[	[	X
aiti-13516	287	2	4	4	NUM
aiti-13516	287	3	]	]	X
aiti-13516	287	4	m.	m.	NOUN
aiti-13516	287	5	mostofa	mostofa	PROPN
aiti-13516	287	6	,	,	PUNCT
aiti-13516	287	7	s.	s.	PROPN
aiti-13516	287	8	mohamadi	mohamadi	PROPN
aiti-13516	287	9	,	,	PUNCT
aiti-13516	287	10	j.	j.	PROPN
aiti-13516	287	11	dawson	dawson	PROPN
aiti-13516	287	12	,	,	PUNCT
aiti-13516	287	13	and	and	CCONJ
aiti-13516	287	14	n.	n.	PROPN
aiti-13516	287	15	m.	m.	NOUN
aiti-13516	287	16	nasrabadi	nasrabadi	NOUN
aiti-13516	287	17	,	,	PUNCT
aiti-13516	287	18	“	"	PUNCT
aiti-13516	287	19	deep	deep	ADJ
aiti-13516	287	20	gan	gan	NOUN
aiti-13516	287	21	-	-	PUNCT
aiti-13516	287	22	based	base	VERB
aiti-13516	287	23	cross	cross	ADJ
aiti-13516	287	24	-	-	ADJ
aiti-13516	287	25	spectral	spectral	ADJ
aiti-13516	287	26	cross	cross	ADJ
aiti-13516	287	27	-	-	ADJ
aiti-13516	287	28	resolution	resolution	ADJ
aiti-13516	287	29	iris	iris	NOUN
aiti-13516	287	30	recognition	recognition	NOUN
aiti-13516	287	31	,	,	PUNCT
aiti-13516	287	32	”	"	PUNCT
aiti-13516	287	33	ieee	ieee	NOUN
aiti-13516	287	34	transactions	transaction	NOUN
aiti-13516	287	35	on	on	ADP
aiti-13516	287	36	biometrics	biometric	NOUN
aiti-13516	287	37	,	,	PUNCT
aiti-13516	287	38	behavior	behavior	NOUN
aiti-13516	287	39	,	,	PUNCT
aiti-13516	287	40	and	and	CCONJ
aiti-13516	287	41	identity	identity	NOUN
aiti-13516	287	42	science	science	NOUN
aiti-13516	287	43	,	,	PUNCT
aiti-13516	287	44	vol	vol	NOUN
aiti-13516	287	45	.	.	PROPN
aiti-13516	288	1	3	3	NUM
aiti-13516	288	2	,	,	PUNCT
aiti-13516	288	3	no	no	INTJ
aiti-13516	288	4	.	.	NOUN
aiti-13516	288	5	4	4	NUM
aiti-13516	288	6	,	,	PUNCT
aiti-13516	288	7	pp	pp	ADJ
aiti-13516	288	8	.	.	PUNCT
aiti-13516	289	1	443	443	NUM
aiti-13516	289	2	-	-	SYM
aiti-13516	289	3	463	463	NUM
aiti-13516	289	4	,	,	PUNCT
aiti-13516	289	5	october	october	PROPN
aiti-13516	289	6	2021	2021	NUM
aiti-13516	289	7	.	.	PUNCT
aiti-13516	290	1	[	[	X
aiti-13516	290	2	5	5	X
aiti-13516	290	3	]	]	PUNCT
aiti-13516	290	4	j.	j.	PROPN
aiti-13516	290	5	g.	g.	PROPN
aiti-13516	290	6	daugman	daugman	PROPN
aiti-13516	290	7	,	,	PUNCT
aiti-13516	290	8	“	"	PUNCT
aiti-13516	290	9	high	high	ADJ
aiti-13516	290	10	confidence	confidence	NOUN
aiti-13516	290	11	visual	visual	ADJ
aiti-13516	290	12	recognition	recognition	NOUN
aiti-13516	290	13	of	of	ADP
aiti-13516	290	14	persons	person	NOUN
aiti-13516	290	15	by	by	ADP
aiti-13516	290	16	a	a	DET
aiti-13516	290	17	test	test	NOUN
aiti-13516	290	18	of	of	ADP
aiti-13516	290	19	statistical	statistical	ADJ
aiti-13516	290	20	independence	independence	NOUN
aiti-13516	290	21	,	,	PUNCT
aiti-13516	290	22	”	"	PUNCT
aiti-13516	290	23	ieee	ieee	NOUN
aiti-13516	290	24	transactions	transaction	NOUN
aiti-13516	290	25	on	on	ADP
aiti-13516	290	26	pattern	pattern	NOUN
aiti-13516	290	27	analysis	analysis	NOUN
aiti-13516	290	28	and	and	CCONJ
aiti-13516	290	29	machine	machine	NOUN
aiti-13516	290	30	intelligence	intelligence	NOUN
aiti-13516	290	31	,	,	PUNCT
aiti-13516	290	32	vol	vol	NOUN
aiti-13516	290	33	.	.	PROPN
aiti-13516	290	34	15	15	NUM
aiti-13516	290	35	,	,	PUNCT
aiti-13516	290	36	no	no	INTJ
aiti-13516	290	37	.	.	NOUN
aiti-13516	290	38	11	11	NUM
aiti-13516	290	39	,	,	PUNCT
aiti-13516	290	40	pp	pp	ADJ
aiti-13516	290	41	.	.	PUNCT
aiti-13516	290	42	1148	1148	NUM
aiti-13516	290	43	-	-	SYM
aiti-13516	290	44	1161	1161	NUM
aiti-13516	290	45	,	,	PUNCT
aiti-13516	290	46	november	november	PROPN
aiti-13516	290	47	1993	1993	NUM
aiti-13516	290	48	.	.	PUNCT
aiti-13516	291	1	[	[	X
aiti-13516	291	2	6	6	NUM
aiti-13516	291	3	]	]	PUNCT
aiti-13516	291	4	j.	j.	PROPN
aiti-13516	291	5	daugman	daugman	PROPN
aiti-13516	291	6	,	,	PUNCT
aiti-13516	291	7	“	"	PUNCT
aiti-13516	291	8	how	how	SCONJ
aiti-13516	291	9	iris	iris	NOUN
aiti-13516	291	10	recognition	recognition	NOUN
aiti-13516	291	11	works	work	VERB
aiti-13516	291	12	,	,	PUNCT
aiti-13516	291	13	”	"	PUNCT
aiti-13516	291	14	the	the	DET
aiti-13516	291	15	essential	essential	ADJ
aiti-13516	291	16	guide	guide	NOUN
aiti-13516	291	17	to	to	ADP
aiti-13516	291	18	image	image	NOUN
aiti-13516	291	19	processing	processing	NOUN
aiti-13516	291	20	,	,	PUNCT
aiti-13516	291	21	2nd	2nd	ADJ
aiti-13516	291	22	ed	ed	NOUN
aiti-13516	291	23	.	.	PROPN
aiti-13516	291	24	,	,	PUNCT
aiti-13516	291	25	amsterdam	amsterdam	PROPN
aiti-13516	291	26	:	:	PUNCT
aiti-13516	291	27	academic	academic	ADJ
aiti-13516	291	28	press	press	NOUN
aiti-13516	291	29	,	,	PUNCT
aiti-13516	291	30	pp	pp	ADJ
aiti-13516	291	31	.	.	PUNCT
aiti-13516	292	1	715	715	NUM
aiti-13516	292	2	-	-	SYM
aiti-13516	292	3	739	739	NUM
aiti-13516	292	4	,	,	PUNCT
aiti-13516	292	5	2009	2009	NUM
aiti-13516	292	6	.	.	PUNCT
aiti-13516	293	1	[	[	X
aiti-13516	293	2	7	7	X
aiti-13516	293	3	]	]	X
aiti-13516	293	4	c.	c.	PROPN
aiti-13516	293	5	s.	s.	PROPN
aiti-13516	293	6	hsiao	hsiao	PROPN
aiti-13516	293	7	,	,	PUNCT
aiti-13516	293	8	c.	c.	PROPN
aiti-13516	293	9	p.	p.	PROPN
aiti-13516	293	10	fan	fan	PROPN
aiti-13516	293	11	,	,	PUNCT
aiti-13516	293	12	and	and	CCONJ
aiti-13516	293	13	y.	y.	PROPN
aiti-13516	293	14	t.	t.	PROPN
aiti-13516	293	15	hwang	hwang	PROPN
aiti-13516	293	16	,	,	PUNCT
aiti-13516	293	17	“	"	PUNCT
aiti-13516	293	18	design	design	NOUN
aiti-13516	293	19	and	and	CCONJ
aiti-13516	293	20	analysis	analysis	NOUN
aiti-13516	293	21	of	of	ADP
aiti-13516	293	22	deep	deep	ADJ
aiti-13516	293	23	-	-	PUNCT
aiti-13516	293	24	learning	learn	VERB
aiti-13516	293	25	based	base	VERB
aiti-13516	293	26	iris	iris	NOUN
aiti-13516	293	27	recognition	recognition	NOUN
aiti-13516	293	28	technologies	technology	NOUN
aiti-13516	293	29	by	by	ADP
aiti-13516	293	30	combination	combination	NOUN
aiti-13516	293	31	of	of	ADP
aiti-13516	293	32	u	u	NOUN
aiti-13516	293	33	-	-	NOUN
aiti-13516	293	34	net	net	ADJ
aiti-13516	293	35	and	and	CCONJ
aiti-13516	293	36	efficientnet	efficientnet	NOUN
aiti-13516	293	37	,	,	PUNCT
aiti-13516	293	38	”	"	PUNCT
aiti-13516	293	39	9th	9th	ADJ
aiti-13516	293	40	international	international	ADJ
aiti-13516	293	41	conference	conference	NOUN
aiti-13516	293	42	on	on	ADP
aiti-13516	293	43	information	information	NOUN
aiti-13516	293	44	and	and	CCONJ
aiti-13516	293	45	education	education	NOUN
aiti-13516	293	46	technology	technology	NOUN
aiti-13516	293	47	,	,	PUNCT
aiti-13516	293	48	pp	pp	ADP
aiti-13516	293	49	.	.	PUNCT
aiti-13516	293	50	433	433	NUM
aiti-13516	293	51	-	-	SYM
aiti-13516	293	52	437	437	NUM
aiti-13516	293	53	,	,	PUNCT
aiti-13516	293	54	march	march	NOUN
aiti-13516	293	55	2021	2021	NUM
aiti-13516	293	56	.	.	PUNCT
aiti-13516	294	1	[	[	X
aiti-13516	294	2	8	8	NUM
aiti-13516	294	3	]	]	X
aiti-13516	294	4	x.	x.	PROPN
aiti-13516	294	5	nie	nie	PROPN
aiti-13516	294	6	,	,	PUNCT
aiti-13516	294	7	h.	h.	PROPN
aiti-13516	294	8	wang	wang	PROPN
aiti-13516	294	9	,	,	PUNCT
aiti-13516	294	10	b.	b.	PROPN
aiti-13516	294	11	chai	chai	NOUN
aiti-13516	294	12	,	,	PUNCT
aiti-13516	294	13	and	and	CCONJ
aiti-13516	294	14	m.	m.	PROPN
aiti-13516	294	15	duan	duan	PROPN
aiti-13516	294	16	,	,	PUNCT
aiti-13516	294	17	“	"	PUNCT
aiti-13516	294	18	remote	remote	ADJ
aiti-13516	294	19	sensing	sense	VERB
aiti-13516	294	20	image	image	NOUN
aiti-13516	294	21	instance	instance	NOUN
aiti-13516	294	22	segmentation	segmentation	NOUN
aiti-13516	294	23	based	base	VERB
aiti-13516	294	24	on	on	ADP
aiti-13516	294	25	attention	attention	NOUN
aiti-13516	294	26	balanced	balanced	ADJ
aiti-13516	294	27	feature	feature	NOUN
aiti-13516	294	28	pyramid	pyramid	NOUN
aiti-13516	294	29	,	,	PUNCT
aiti-13516	294	30	”	"	PUNCT
aiti-13516	294	31	international	international	ADJ
aiti-13516	294	32	journal	journal	NOUN
aiti-13516	294	33	of	of	ADP
aiti-13516	294	34	pattern	pattern	NOUN
aiti-13516	294	35	recognition	recognition	NOUN
aiti-13516	294	36	and	and	CCONJ
aiti-13516	294	37	artificial	artificial	ADJ
aiti-13516	294	38	intelligence	intelligence	NOUN
aiti-13516	294	39	,	,	PUNCT
aiti-13516	294	40	vol	vol	NOUN
aiti-13516	294	41	.	.	PROPN
aiti-13516	294	42	37	37	NUM
aiti-13516	294	43	,	,	PUNCT
aiti-13516	294	44	no	no	INTJ
aiti-13516	294	45	.	.	NOUN
aiti-13516	294	46	1	1	NUM
aiti-13516	294	47	,	,	PUNCT
aiti-13516	294	48	article	article	NOUN
aiti-13516	294	49	no	no	NOUN
aiti-13516	294	50	.	.	PUNCT
aiti-13516	294	51	2254020	2254020	NUM
aiti-13516	294	52	,	,	PUNCT
aiti-13516	294	53	january	january	PROPN
aiti-13516	294	54	2023	2023	NUM
aiti-13516	294	55	.	.	PUNCT
aiti-13516	295	1	[	[	X
aiti-13516	295	2	9	9	NUM
aiti-13516	295	3	]	]	X
aiti-13516	295	4	h.	h.	PROPN
aiti-13516	295	5	d.	d.	PROPN
aiti-13516	295	6	rafik	rafik	PROPN
aiti-13516	295	7	and	and	CCONJ
aiti-13516	295	8	m.	m.	PROPN
aiti-13516	295	9	boubaker	boubaker	PROPN
aiti-13516	295	10	,	,	PUNCT
aiti-13516	295	11	“	"	PUNCT
aiti-13516	295	12	application	application	NOUN
aiti-13516	295	13	of	of	ADP
aiti-13516	295	14	metaheuristic	metaheuristic	NOUN
aiti-13516	295	15	for	for	ADP
aiti-13516	295	16	optimization	optimization	NOUN
aiti-13516	295	17	of	of	ADP
aiti-13516	295	18	iris	iris	NOUN
aiti-13516	295	19	image	image	NOUN
aiti-13516	295	20	segmentation	segmentation	NOUN
aiti-13516	295	21	by	by	ADP
aiti-13516	295	22	using	use	VERB
aiti-13516	295	23	evaluation	evaluation	NOUN
aiti-13516	295	24	hough	hough	PROPN
aiti-13516	295	25	transform	transform	VERB
aiti-13516	295	26	and	and	CCONJ
aiti-13516	295	27	methods	method	NOUN
aiti-13516	295	28	daugman	daugman	PROPN
aiti-13516	295	29	,	,	PUNCT
aiti-13516	295	30	”	"	PUNCT
aiti-13516	295	31	1st	1st	ADJ
aiti-13516	295	32	international	international	ADJ
aiti-13516	295	33	conference	conference	NOUN
aiti-13516	295	34	on	on	ADP
aiti-13516	295	35	communications	communication	NOUN
aiti-13516	295	36	,	,	PUNCT
aiti-13516	295	37	control	control	NOUN
aiti-13516	295	38	systems	system	NOUN
aiti-13516	295	39	and	and	CCONJ
aiti-13516	295	40	signal	signal	NOUN
aiti-13516	295	41	processing	processing	NOUN
aiti-13516	295	42	,	,	PUNCT
aiti-13516	295	43	pp	pp	ADJ
aiti-13516	295	44	.	.	PUNCT
aiti-13516	296	1	142	142	NUM
aiti-13516	296	2	-	-	SYM
aiti-13516	296	3	150	150	NUM
aiti-13516	296	4	,	,	PUNCT
aiti-13516	296	5	may	may	AUX
aiti-13516	296	6	2020	2020	NUM
aiti-13516	296	7	.	.	PUNCT
aiti-13516	297	1	[	[	X
aiti-13516	297	2	10	10	NUM
aiti-13516	297	3	]	]	X
aiti-13516	297	4	s.	s.	PROPN
aiti-13516	297	5	rapaka	rapaka	PROPN
aiti-13516	297	6	,	,	PUNCT
aiti-13516	297	7	p.	p.	PROPN
aiti-13516	297	8	rajesh	rajesh	PROPN
aiti-13516	297	9	kumar	kumar	PROPN
aiti-13516	297	10	,	,	PUNCT
aiti-13516	297	11	m.	m.	NOUN
aiti-13516	297	12	katta	katta	PROPN
aiti-13516	297	13	,	,	PUNCT
aiti-13516	297	14	k.	k.	PROPN
aiti-13516	297	15	lakshminarayana	lakshminarayana	PROPN
aiti-13516	297	16	,	,	PUNCT
aiti-13516	297	17	and	and	CCONJ
aiti-13516	297	18	n.	n.	PROPN
aiti-13516	297	19	bhupesh	bhupesh	PROPN
aiti-13516	297	20	kumar	kumar	PROPN
aiti-13516	297	21	,	,	PUNCT
aiti-13516	297	22	“	"	PUNCT
aiti-13516	297	23	a	a	DET
aiti-13516	297	24	new	new	ADJ
aiti-13516	297	25	segmentation	segmentation	NOUN
aiti-13516	297	26	method	method	NOUN
aiti-13516	297	27	for	for	ADP
aiti-13516	297	28	non	non	ADJ
aiti-13516	297	29	-	-	ADJ
aiti-13516	297	30	ideal	ideal	ADJ
aiti-13516	297	31	iris	iris	NOUN
aiti-13516	297	32	images	image	NOUN
aiti-13516	297	33	using	use	VERB
aiti-13516	297	34	morphological	morphological	ADJ
aiti-13516	297	35	reconstruction	reconstruction	NOUN
aiti-13516	297	36	fcm	fcm	VERB
aiti-13516	297	37	based	base	VERB
aiti-13516	297	38	on	on	ADP
aiti-13516	297	39	improved	improved	ADJ
aiti-13516	297	40	dsa	dsa	NOUN
aiti-13516	297	41	,	,	PUNCT
aiti-13516	297	42	”	"	PUNCT
aiti-13516	297	43	sn	sn	PROPN
aiti-13516	297	44	applied	apply	VERB
aiti-13516	297	45	sciences	science	NOUN
aiti-13516	297	46	,	,	PUNCT
aiti-13516	297	47	vol	vol	NOUN
aiti-13516	297	48	.	.	PROPN
aiti-13516	298	1	3	3	NUM
aiti-13516	298	2	,	,	PUNCT
aiti-13516	298	3	no	no	INTJ
aiti-13516	298	4	.	.	NOUN
aiti-13516	298	5	1	1	NUM
aiti-13516	298	6	,	,	PUNCT
aiti-13516	298	7	article	article	NOUN
aiti-13516	298	8	no	no	NOUN
aiti-13516	298	9	.	.	PROPN
aiti-13516	298	10	53	53	NUM
aiti-13516	298	11	,	,	PUNCT
aiti-13516	298	12	january	january	NOUN
aiti-13516	298	13	2021	2021	NUM
aiti-13516	298	14	.	.	PUNCT
aiti-13516	299	1	[	[	X
aiti-13516	299	2	11	11	NUM
aiti-13516	299	3	]	]	PUNCT
aiti-13516	299	4	b.	b.	PROPN
aiti-13516	299	5	k.	k.	PROPN
aiti-13516	299	6	o.	o.	PROPN
aiti-13516	299	7	c.	c.	PROPN
aiti-13516	299	8	alwawi	alwawi	PROPN
aiti-13516	299	9	and	and	CCONJ
aiti-13516	299	10	a.	a.	PROPN
aiti-13516	299	11	f.	f.	PROPN
aiti-13516	299	12	y.	y.	PROPN
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aiti-13516	299	14	,	,	PUNCT
aiti-13516	299	15	“	"	PUNCT
aiti-13516	299	16	towards	towards	ADP
aiti-13516	299	17	more	more	ADV
aiti-13516	299	18	accurate	accurate	ADJ
aiti-13516	299	19	and	and	CCONJ
aiti-13516	299	20	efficient	efficient	ADJ
aiti-13516	299	21	human	human	ADJ
aiti-13516	299	22	iris	iris	NOUN
aiti-13516	299	23	recognition	recognition	NOUN
aiti-13516	299	24	model	model	NOUN
aiti-13516	299	25	using	use	VERB
aiti-13516	299	26	deep	deep	ADJ
aiti-13516	299	27	learning	learning	NOUN
aiti-13516	299	28	technology	technology	NOUN
aiti-13516	299	29	,	,	PUNCT
aiti-13516	299	30	”	"	PUNCT
aiti-13516	299	31	telkomnika	telkomnika	ADP
aiti-13516	299	32	telecommunication	telecommunication	NOUN
aiti-13516	299	33	computing	compute	VERB
aiti-13516	299	34	electronics	electronic	NOUN
aiti-13516	299	35	and	and	CCONJ
aiti-13516	299	36	control	control	NOUN
aiti-13516	299	37	,	,	PUNCT
aiti-13516	299	38	vol	vol	NOUN
aiti-13516	299	39	.	.	PROPN
aiti-13516	299	40	20	20	NUM
aiti-13516	299	41	,	,	PUNCT
aiti-13516	299	42	no	no	INTJ
aiti-13516	299	43	.	.	NOUN
aiti-13516	299	44	4	4	NUM
aiti-13516	299	45	,	,	PUNCT
aiti-13516	299	46	pp	pp	ADJ
aiti-13516	299	47	.	.	PUNCT
aiti-13516	300	1	817	817	NUM
aiti-13516	300	2	-	-	SYM
aiti-13516	300	3	824	824	NUM
aiti-13516	300	4	,	,	PUNCT
aiti-13516	300	5	august	august	NOUN
aiti-13516	300	6	2022	2022	NUM
aiti-13516	300	7	.	.	PUNCT
aiti-13516	301	1	[	[	X
aiti-13516	301	2	12	12	NUM
aiti-13516	301	3	]	]	PUNCT
aiti-13516	301	4	m.	m.	NOUN
aiti-13516	301	5	omran	omran	PROPN
aiti-13516	301	6	and	and	CCONJ
aiti-13516	301	7	e.	e.	PROPN
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aiti-13516	301	10	,	,	PUNCT
aiti-13516	301	11	“	"	PUNCT
aiti-13516	301	12	an	an	DET
aiti-13516	301	13	iris	iris	NOUN
aiti-13516	301	14	recognition	recognition	NOUN
aiti-13516	301	15	system	system	NOUN
aiti-13516	301	16	using	use	VERB
aiti-13516	301	17	deep	deep	ADJ
aiti-13516	301	18	convolutional	convolutional	ADJ
aiti-13516	301	19	neural	neural	ADJ
aiti-13516	301	20	network	network	NOUN
aiti-13516	301	21	,	,	PUNCT
aiti-13516	301	22	”	"	PUNCT
aiti-13516	301	23	journal	journal	NOUN
aiti-13516	301	24	of	of	ADP
aiti-13516	301	25	physics	physics	PROPN
aiti-13516	301	26	:	:	PUNCT
aiti-13516	301	27	conference	conference	NOUN
aiti-13516	301	28	series	series	NOUN
aiti-13516	301	29	,	,	PUNCT
aiti-13516	301	30	vol	vol	NOUN
aiti-13516	301	31	.	.	NOUN
aiti-13516	301	32	1530	1530	NUM
aiti-13516	301	33	,	,	PUNCT
aiti-13516	301	34	article	article	NOUN
aiti-13516	301	35	no	no	NOUN
aiti-13516	301	36	.	.	PROPN
aiti-13516	301	37	012159	012159	NUM
aiti-13516	301	38	,	,	PUNCT
aiti-13516	301	39	2020	2020	NUM
aiti-13516	301	40	.	.	PUNCT
aiti-13516	302	1	[	[	X
aiti-13516	302	2	13	13	NUM
aiti-13516	302	3	]	]	PUNCT
aiti-13516	302	4	m.	m.	NOUN
aiti-13516	302	5	g.	g.	PROPN
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aiti-13516	302	8	l.	l.	PROPN
aiti-13516	302	9	a.	a.	NOUN
aiti-13516	302	10	elrefaei	elrefaei	NOUN
aiti-13516	302	11	,	,	PUNCT
aiti-13516	302	12	“	"	PUNCT
aiti-13516	302	13	convolutional	convolutional	ADJ
aiti-13516	302	14	neural	neural	ADJ
aiti-13516	302	15	network	network	NOUN
aiti-13516	302	16	based	base	VERB
aiti-13516	302	17	feature	feature	NOUN
aiti-13516	302	18	extraction	extraction	NOUN
aiti-13516	302	19	for	for	ADP
aiti-13516	302	20	iris	iris	NOUN
aiti-13516	302	21	recognition	recognition	NOUN
aiti-13516	302	22	,	,	PUNCT
aiti-13516	302	23	”	"	PUNCT
aiti-13516	302	24	international	international	ADJ
aiti-13516	302	25	journal	journal	NOUN
aiti-13516	302	26	of	of	ADP
aiti-13516	302	27	computer	computer	NOUN
aiti-13516	302	28	science	science	PROPN
aiti-13516	302	29	&	&	CCONJ
aiti-13516	302	30	information	information	PROPN
aiti-13516	302	31	technology	technology	PROPN
aiti-13516	302	32	,	,	PUNCT
aiti-13516	302	33	vol	vol	NOUN
aiti-13516	302	34	.	.	PROPN
aiti-13516	302	35	10	10	NUM
aiti-13516	302	36	,	,	PUNCT
aiti-13516	302	37	no	no	INTJ
aiti-13516	302	38	.	.	NOUN
aiti-13516	302	39	2	2	NUM
aiti-13516	302	40	,	,	PUNCT
aiti-13516	302	41	pp	pp	ADJ
aiti-13516	302	42	.	.	PUNCT
aiti-13516	302	43	65	65	NUM
aiti-13516	302	44	-	-	SYM
aiti-13516	302	45	78	78	NUM
aiti-13516	302	46	,	,	PUNCT
aiti-13516	302	47	april	april	PROPN
aiti-13516	302	48	2018	2018	NUM
aiti-13516	302	49	.	.	PUNCT
aiti-13516	303	1	[	[	X
aiti-13516	303	2	14	14	NUM
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aiti-13516	303	4	s.	s.	PROPN
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aiti-13516	303	7	a.	a.	NOUN
aiti-13516	303	8	abdolrashidi	abdolrashidi	NOUN
aiti-13516	303	9	,	,	PUNCT
aiti-13516	303	10	“	"	PUNCT
aiti-13516	303	11	deepiris	deepiris	NOUN
aiti-13516	303	12	:	:	PUNCT
aiti-13516	303	13	iris	iris	NOUN
aiti-13516	303	14	recognition	recognition	NOUN
aiti-13516	303	15	using	use	VERB
aiti-13516	303	16	a	a	DET
aiti-13516	303	17	deep	deep	ADJ
aiti-13516	303	18	learning	learning	NOUN
aiti-13516	303	19	approach	approach	NOUN
aiti-13516	303	20	,	,	PUNCT
aiti-13516	303	21	”	"	PUNCT
aiti-13516	303	22	https://doi.org/10.48550/arxiv.1907.09380	https://doi.org/10.48550/arxiv.1907.09380	PROPN
aiti-13516	303	23	,	,	PUNCT
aiti-13516	303	24	july	july	PROPN
aiti-13516	303	25	22	22	NUM
aiti-13516	303	26	,	,	PUNCT
aiti-13516	303	27	2019	2019	NUM
aiti-13516	303	28	.	.	PUNCT
aiti-13516	304	1	[	[	X
aiti-13516	304	2	15	15	NUM
aiti-13516	304	3	]	]	PUNCT
aiti-13516	304	4	z.	z.	PROPN
aiti-13516	304	5	wang	wang	PROPN
aiti-13516	304	6	,	,	PUNCT
aiti-13516	304	7	c.	c.	PROPN
aiti-13516	304	8	li	li	PROPN
aiti-13516	304	9	,	,	PUNCT
aiti-13516	304	10	h.	h.	PROPN
aiti-13516	304	11	shao	shao	PROPN
aiti-13516	304	12	,	,	PUNCT
aiti-13516	304	13	and	and	CCONJ
aiti-13516	304	14	j.	j.	PROPN
aiti-13516	304	15	sun	sun	PROPN
aiti-13516	304	16	,	,	PUNCT
aiti-13516	304	17	“	"	PUNCT
aiti-13516	304	18	eye	eye	NOUN
aiti-13516	304	19	recognition	recognition	NOUN
aiti-13516	304	20	with	with	ADP
aiti-13516	304	21	mixed	mixed	ADJ
aiti-13516	304	22	convolutional	convolutional	ADJ
aiti-13516	304	23	and	and	CCONJ
aiti-13516	304	24	residual	residual	ADJ
aiti-13516	304	25	network	network	NOUN
aiti-13516	304	26	(	(	PUNCT
aiti-13516	304	27	micorenet	micorenet	NOUN
aiti-13516	304	28	)	)	PUNCT
aiti-13516	304	29	,	,	PUNCT
aiti-13516	304	30	”	"	PUNCT
aiti-13516	304	31	ieee	ieee	NOUN
aiti-13516	304	32	access	access	NOUN
aiti-13516	304	33	,	,	PUNCT
aiti-13516	304	34	vol	vol	NOUN
aiti-13516	304	35	.	.	PROPN
aiti-13516	304	36	6	6	NUM
aiti-13516	304	37	,	,	PUNCT
aiti-13516	304	38	pp	pp	ADJ
aiti-13516	304	39	.	.	PUNCT
aiti-13516	305	1	17905	17905	NUM
aiti-13516	305	2	-	-	SYM
aiti-13516	305	3	17912	17912	NUM
aiti-13516	305	4	,	,	PUNCT
aiti-13516	305	5	2018	2018	NUM
aiti-13516	305	6	.	.	PUNCT
aiti-13516	306	1	[	[	X
aiti-13516	306	2	16	16	NUM
aiti-13516	306	3	]	]	PUNCT
aiti-13516	306	4	m.	m.	NOUN
aiti-13516	306	5	s.	s.	PROPN
aiti-13516	306	6	azam	azam	PROPN
aiti-13516	306	7	and	and	CCONJ
aiti-13516	306	8	h.	h.	PROPN
aiti-13516	306	9	k.	k.	PROPN
aiti-13516	306	10	rana	rana	PROPN
aiti-13516	306	11	,	,	PUNCT
aiti-13516	306	12	“	"	PUNCT
aiti-13516	306	13	iris	iris	NOUN
aiti-13516	306	14	recognition	recognition	NOUN
aiti-13516	306	15	using	use	VERB
aiti-13516	306	16	convolutional	convolutional	ADJ
aiti-13516	306	17	neural	neural	ADJ
aiti-13516	306	18	network	network	NOUN
aiti-13516	306	19	,	,	PUNCT
aiti-13516	306	20	”	"	PUNCT
aiti-13516	306	21	international	international	ADJ
aiti-13516	306	22	journal	journal	NOUN
aiti-13516	306	23	of	of	ADP
aiti-13516	306	24	computer	computer	NOUN
aiti-13516	306	25	applications	application	NOUN
aiti-13516	306	26	,	,	PUNCT
aiti-13516	306	27	vol	vol	NOUN
aiti-13516	306	28	.	.	PROPN
aiti-13516	307	1	175	175	NUM
aiti-13516	307	2	,	,	PUNCT
aiti-13516	307	3	no	no	INTJ
aiti-13516	307	4	.	.	NOUN
aiti-13516	307	5	12	12	NUM
aiti-13516	307	6	,	,	PUNCT
aiti-13516	307	7	pp	pp	ADJ
aiti-13516	307	8	.	.	PUNCT
aiti-13516	308	1	24	24	NUM
aiti-13516	308	2	-	-	SYM
aiti-13516	308	3	28	28	NUM
aiti-13516	308	4	,	,	PUNCT
aiti-13516	308	5	august	august	PROPN
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aiti-13516	308	7	.	.	PUNCT
aiti-13516	309	1	[	[	X
aiti-13516	309	2	17	17	NUM
aiti-13516	309	3	]	]	PUNCT
aiti-13516	309	4	s.	s.	PROPN
aiti-13516	309	5	k.	k.	PROPN
aiti-13516	309	6	tummala	tummala	PROPN
aiti-13516	309	7	and	and	CCONJ
aiti-13516	309	8	i.	i.	PROPN
aiti-13516	309	9	priyadarshini	priyadarshini	PROPN
aiti-13516	309	10	t	t	PROPN
aiti-13516	309	11	,	,	PUNCT
aiti-13516	309	12	“	"	PUNCT
aiti-13516	309	13	morphological	morphological	ADJ
aiti-13516	309	14	operations	operation	NOUN
aiti-13516	309	15	and	and	CCONJ
aiti-13516	309	16	histogram	histogram	NOUN
aiti-13516	309	17	analysis	analysis	NOUN
aiti-13516	309	18	of	of	ADP
aiti-13516	309	19	sem	sem	NOUN
aiti-13516	309	20	images	image	NOUN
aiti-13516	309	21	using	use	VERB
aiti-13516	309	22	python	python	NOUN
aiti-13516	309	23	,	,	PUNCT
aiti-13516	309	24	”	"	PUNCT
aiti-13516	309	25	indian	indian	ADJ
aiti-13516	309	26	journal	journal	NOUN
aiti-13516	309	27	of	of	ADP
aiti-13516	309	28	engineering	engineering	NOUN
aiti-13516	309	29	and	and	CCONJ
aiti-13516	309	30	materials	material	NOUN
aiti-13516	309	31	sciences	science	NOUN
aiti-13516	309	32	,	,	PUNCT
aiti-13516	309	33	vol	vol	NOUN
aiti-13516	309	34	.	.	PROPN
aiti-13516	309	35	29	29	NUM
aiti-13516	309	36	,	,	PUNCT
aiti-13516	309	37	no	no	INTJ
aiti-13516	309	38	.	.	NOUN
aiti-13516	309	39	6	6	NUM
aiti-13516	309	40	,	,	PUNCT
aiti-13516	309	41	pp	pp	ADJ
aiti-13516	309	42	.	.	PUNCT
aiti-13516	310	1	796	796	NUM
aiti-13516	310	2	-	-	SYM
aiti-13516	310	3	800	800	NUM
aiti-13516	310	4	,	,	PUNCT
aiti-13516	310	5	december	december	PROPN
aiti-13516	310	6	2022	2022	NUM
aiti-13516	310	7	.	.	PUNCT
aiti-13516	311	1	[	[	X
aiti-13516	311	2	18	18	NUM
aiti-13516	311	3	]	]	X
aiti-13516	311	4	i.	i.	PROPN
aiti-13516	311	5	s.	s.	PROPN
aiti-13516	311	6	hussein	hussein	PROPN
aiti-13516	311	7	,	,	PUNCT
aiti-13516	311	8	s.	s.	PROPN
aiti-13516	311	9	b.	b.	PROPN
aiti-13516	311	10	sahibuddin	sahibuddin	PROPN
aiti-13516	311	11	,	,	PUNCT
aiti-13516	311	12	m.	m.	NOUN
aiti-13516	311	13	j.	j.	PROPN
aiti-13516	311	14	nordin	nordin	PROPN
aiti-13516	311	15	,	,	PUNCT
aiti-13516	311	16	and	and	CCONJ
aiti-13516	311	17	n.	n.	PROPN
aiti-13516	311	18	n.	n.	PROPN
aiti-13516	311	19	amir	amir	PROPN
aiti-13516	311	20	,	,	PUNCT
aiti-13516	311	21	“	"	PUNCT
aiti-13516	311	22	the	the	DET
aiti-13516	311	23	extract	extract	NOUN
aiti-13516	311	24	region	region	NOUN
aiti-13516	311	25	of	of	ADP
aiti-13516	311	26	interest	interest	NOUN
aiti-13516	311	27	in	in	ADP
aiti-13516	311	28	high	high	ADJ
aiti-13516	311	29	-	-	PUNCT
aiti-13516	311	30	resolution	resolution	NOUN
aiti-13516	311	31	palmprint	palmprint	NOUN
aiti-13516	311	32	using	use	VERB
aiti-13516	311	33	2d	2d	NUM
aiti-13516	311	34	image	image	NOUN
aiti-13516	311	35	histogram	histogram	NOUN
aiti-13516	311	36	entropy	entropy	PROPN
aiti-13516	311	37	function	function	PROPN
aiti-13516	311	38	,	,	PUNCT
aiti-13516	311	39	”	"	PUNCT
aiti-13516	311	40	journal	journal	NOUN
aiti-13516	311	41	of	of	ADP
aiti-13516	311	42	computer	computer	NOUN
aiti-13516	311	43	science	science	NOUN
aiti-13516	311	44	,	,	PUNCT
aiti-13516	311	45	vol	vol	NOUN
aiti-13516	311	46	.	.	PROPN
aiti-13516	311	47	15	15	NUM
aiti-13516	311	48	,	,	PUNCT
aiti-13516	311	49	no	no	INTJ
aiti-13516	311	50	.	.	NOUN
aiti-13516	311	51	5	5	NUM
aiti-13516	311	52	,	,	PUNCT
aiti-13516	311	53	pp	pp	ADJ
aiti-13516	311	54	.	.	PUNCT
aiti-13516	312	1	635	635	NUM
aiti-13516	312	2	-	-	SYM
aiti-13516	312	3	647	647	NUM
aiti-13516	312	4	,	,	PUNCT
aiti-13516	312	5	2019	2019	NUM
aiti-13516	312	6	.	.	PUNCT
aiti-13516	313	1	[	[	X
aiti-13516	313	2	19	19	NUM
aiti-13516	313	3	]	]	X
aiti-13516	313	4	r.	r.	PROPN
aiti-13516	313	5	hermary	hermary	PROPN
aiti-13516	313	6	,	,	PUNCT
aiti-13516	313	7	g.	g.	PROPN
aiti-13516	313	8	tochon	tochon	PROPN
aiti-13516	313	9	,	,	PUNCT
aiti-13516	313	10	é	é	PROPN
aiti-13516	313	11	.	.	PUNCT
aiti-13516	313	12	puybareau	puybareau	PROPN
aiti-13516	313	13	,	,	PUNCT
aiti-13516	313	14	a.	a.	PROPN
aiti-13516	313	15	kirszenberg	kirszenberg	PROPN
aiti-13516	313	16	,	,	PUNCT
aiti-13516	313	17	and	and	CCONJ
aiti-13516	313	18	j.	j.	PROPN
aiti-13516	313	19	angulo	angulo	PROPN
aiti-13516	313	20	,	,	PUNCT
aiti-13516	313	21	“	"	PUNCT
aiti-13516	313	22	learning	learn	VERB
aiti-13516	313	23	grayscale	grayscale	PROPN
aiti-13516	313	24	mathematical	mathematical	ADJ
aiti-13516	313	25	morphology	morphology	NOUN
aiti-13516	313	26	with	with	ADP
aiti-13516	313	27	smooth	smooth	ADJ
aiti-13516	313	28	morphological	morphological	ADJ
aiti-13516	313	29	layers	layer	NOUN
aiti-13516	313	30	,	,	PUNCT
aiti-13516	313	31	”	"	PUNCT
aiti-13516	313	32	journal	journal	NOUN
aiti-13516	313	33	of	of	ADP
aiti-13516	313	34	mathematical	mathematical	ADJ
aiti-13516	313	35	imaging	imaging	NOUN
aiti-13516	313	36	and	and	CCONJ
aiti-13516	313	37	vision	vision	NOUN
aiti-13516	313	38	,	,	PUNCT
aiti-13516	313	39	vol	vol	NOUN
aiti-13516	313	40	.	.	PROPN
aiti-13516	314	1	64	64	NUM
aiti-13516	314	2	,	,	PUNCT
aiti-13516	314	3	no	no	INTJ
aiti-13516	314	4	.	.	NOUN
aiti-13516	314	5	7	7	NUM
aiti-13516	314	6	,	,	PUNCT
aiti-13516	314	7	pp	pp	ADJ
aiti-13516	314	8	.	.	PUNCT
aiti-13516	315	1	736	736	NUM
aiti-13516	315	2	-	-	SYM
aiti-13516	315	3	753	753	NUM
aiti-13516	315	4	,	,	PUNCT
aiti-13516	315	5	september	september	PROPN
aiti-13516	315	6	2022	2022	NUM
aiti-13516	315	7	.	.	PUNCT
aiti-13516	316	1	[	[	X
aiti-13516	316	2	20	20	NUM
aiti-13516	316	3	]	]	PUNCT
aiti-13516	316	4	p.	p.	PROPN
aiti-13516	316	5	kim	kim	PROPN
aiti-13516	316	6	,	,	PUNCT
aiti-13516	316	7	matlab	matlab	PROPN
aiti-13516	316	8	deep	deep	ADJ
aiti-13516	316	9	learning	learning	PROPN
aiti-13516	316	10	:	:	PUNCT
aiti-13516	316	11	with	with	ADP
aiti-13516	316	12	machine	machine	NOUN
aiti-13516	316	13	learning	learning	NOUN
aiti-13516	316	14	,	,	PUNCT
aiti-13516	316	15	neural	neural	ADJ
aiti-13516	316	16	networks	network	NOUN
aiti-13516	316	17	and	and	CCONJ
aiti-13516	316	18	artificial	artificial	ADJ
aiti-13516	316	19	intelligence	intelligence	NOUN
aiti-13516	316	20	,	,	PUNCT
aiti-13516	316	21	new	new	PROPN
aiti-13516	316	22	york	york	PROPN
aiti-13516	316	23	:	:	PUNCT
aiti-13516	316	24	apress	apress	PROPN
aiti-13516	316	25	,	,	PUNCT
aiti-13516	316	26	pp	pp	ADP
aiti-13516	316	27	.	.	PUNCT
aiti-13516	316	28	121	121	NUM
aiti-13516	316	29	-	-	SYM
aiti-13516	316	30	147	147	NUM
aiti-13516	316	31	,	,	PUNCT
aiti-13516	316	32	2017	2017	NUM
aiti-13516	316	33	.	.	PUNCT
aiti-13516	317	1	[	[	X
aiti-13516	317	2	21	21	NUM
aiti-13516	317	3	]	]	X
aiti-13516	317	4	b.	b.	PROPN
aiti-13516	317	5	moons	moons	PROPN
aiti-13516	317	6	,	,	PUNCT
aiti-13516	317	7	d.	d.	PROPN
aiti-13516	317	8	bankman	bankman	PROPN
aiti-13516	317	9	,	,	PUNCT
aiti-13516	317	10	and	and	CCONJ
aiti-13516	317	11	m.	m.	PROPN
aiti-13516	317	12	verhelst	verhelst	PROPN
aiti-13516	317	13	,	,	PUNCT
aiti-13516	317	14	embedded	embed	VERB
aiti-13516	317	15	deep	deep	ADJ
aiti-13516	317	16	learning	learning	NOUN
aiti-13516	317	17	:	:	PUNCT
aiti-13516	317	18	algorithms	algorithm	NOUN
aiti-13516	317	19	,	,	PUNCT
aiti-13516	317	20	architectures	architecture	NOUN
aiti-13516	317	21	and	and	CCONJ
aiti-13516	317	22	circuits	circuit	NOUN
aiti-13516	317	23	for	for	ADP
aiti-13516	317	24	always	always	ADV
aiti-13516	317	25	-	-	PUNCT
aiti-13516	317	26	on	on	ADP
aiti-13516	317	27	neural	neural	ADJ
aiti-13516	317	28	network	network	NOUN
aiti-13516	317	29	processing	processing	NOUN
aiti-13516	317	30	,	,	PUNCT
aiti-13516	317	31	cham	cham	PROPN
aiti-13516	317	32	:	:	PUNCT
aiti-13516	317	33	springer	springer	NOUN
aiti-13516	317	34	,	,	PUNCT
aiti-13516	317	35	2019	2019	NUM
aiti-13516	317	36	.	.	PUNCT
aiti-13516	318	1	advances	advance	NOUN
aiti-13516	318	2	in	in	ADP
aiti-13516	318	3	technology	technology	NOUN
aiti-13516	318	4	innovation	innovation	NOUN
aiti-13516	318	5	,	,	PUNCT
aiti-13516	318	6	vol	vol	NOUN
aiti-13516	318	7	.	.	PROPN
aiti-13516	319	1	9	9	NUM
aiti-13516	319	2	,	,	PUNCT
aiti-13516	319	3	no	no	INTJ
aiti-13516	319	4	.	.	NOUN
aiti-13516	319	5	3	3	NUM
aiti-13516	319	6	,	,	PUNCT
aiti-13516	319	7	2024	2024	NUM
aiti-13516	319	8	,	,	PUNCT
aiti-13516	319	9	pp	pp	ADV
aiti-13516	319	10	.	.	PUNCT
aiti-13516	320	1	197	197	NUM
aiti-13516	320	2	-	-	SYM
aiti-13516	320	3	209	209	NUM
aiti-13516	320	4	209	209	NUM
aiti-13516	320	5	[	[	X
aiti-13516	320	6	22	22	NUM
aiti-13516	320	7	]	]	PUNCT
aiti-13516	320	8	a.	a.	PROPN
aiti-13516	320	9	f.	f.	PROPN
aiti-13516	320	10	gad	gad	PROPN
aiti-13516	320	11	,	,	PUNCT
aiti-13516	320	12	practical	practical	ADJ
aiti-13516	320	13	computer	computer	NOUN
aiti-13516	320	14	vision	vision	NOUN
aiti-13516	320	15	applications	application	NOUN
aiti-13516	320	16	using	use	VERB
aiti-13516	320	17	deep	deep	ADJ
aiti-13516	320	18	learning	learning	NOUN
aiti-13516	320	19	with	with	ADP
aiti-13516	320	20	cnns	cnn	NOUN
aiti-13516	320	21	,	,	PUNCT
aiti-13516	320	22	1st	1st	ADJ
aiti-13516	320	23	ed	ed	NOUN
aiti-13516	320	24	.	.	PROPN
aiti-13516	320	25	,	,	PUNCT
aiti-13516	320	26	berkley	berkley	NOUN
aiti-13516	320	27	:	:	PUNCT
aiti-13516	320	28	apress	apress	NOUN
aiti-13516	320	29	,	,	PUNCT
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aiti-13516	320	31	.	.	PUNCT
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aiti-13516	321	2	23	23	NUM
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aiti-13516	321	4	s.	s.	PROPN
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aiti-13516	321	7	a.	a.	NOUN
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aiti-13516	321	9	,	,	PUNCT
aiti-13516	321	10	and	and	CCONJ
aiti-13516	321	11	y.	y.	PROPN
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aiti-13516	321	13	,	,	PUNCT
aiti-13516	321	14	“	"	PUNCT
aiti-13516	321	15	an	an	DET
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aiti-13516	321	17	study	study	NOUN
aiti-13516	321	18	of	of	ADP
aiti-13516	321	19	deep	deep	ADJ
aiti-13516	321	20	convolutional	convolutional	ADJ
aiti-13516	321	21	features	feature	NOUN
aiti-13516	321	22	for	for	ADP
aiti-13516	321	23	iris	iris	NOUN
aiti-13516	321	24	recognition	recognition	NOUN
aiti-13516	321	25	,	,	PUNCT
aiti-13516	321	26	”	"	PUNCT
aiti-13516	321	27	ieee	ieee	NOUN
aiti-13516	321	28	signal	signal	NOUN
aiti-13516	321	29	processing	processing	NOUN
aiti-13516	321	30	in	in	ADP
aiti-13516	321	31	medicine	medicine	NOUN
aiti-13516	321	32	and	and	CCONJ
aiti-13516	321	33	biology	biology	NOUN
aiti-13516	321	34	symposium	symposium	NOUN
aiti-13516	321	35	,	,	PUNCT
aiti-13516	321	36	pp	pp	ADJ
aiti-13516	321	37	.	.	PUNCT
aiti-13516	322	1	1	1	NUM
aiti-13516	322	2	-	-	SYM
aiti-13516	322	3	6	6	NUM
aiti-13516	322	4	,	,	PUNCT
aiti-13516	322	5	december	december	PROPN
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aiti-13516	322	7	.	.	PUNCT
aiti-13516	323	1	[	[	X
aiti-13516	323	2	24	24	NUM
aiti-13516	323	3	]	]	PUNCT
aiti-13516	323	4	a.	a.	NOUN
aiti-13516	323	5	k.	k.	PROPN
aiti-13516	323	6	pathak	pathak	PROPN
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aiti-13516	323	8	a.	a.	PROPN
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aiti-13516	323	10	,	,	PUNCT
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aiti-13516	323	14	combination	combination	NOUN
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aiti-13516	323	17	matchers	matcher	NOUN
aiti-13516	323	18	for	for	ADP
aiti-13516	323	19	reliable	reliable	ADJ
aiti-13516	323	20	personal	personal	ADJ
aiti-13516	323	21	identification	identification	NOUN
aiti-13516	323	22	,	,	PUNCT
aiti-13516	323	23	”	"	PUNCT
aiti-13516	323	24	ieee	ieee	NOUN
aiti-13516	323	25	computer	computer	NOUN
aiti-13516	323	26	society	society	PROPN
aiti-13516	323	27	conference	conference	NOUN
aiti-13516	323	28	on	on	ADP
aiti-13516	323	29	computer	computer	NOUN
aiti-13516	323	30	vision	vision	NOUN
aiti-13516	323	31	and	and	CCONJ
aiti-13516	323	32	pattern	pattern	NOUN
aiti-13516	323	33	recognition	recognition	NOUN
aiti-13516	323	34	workshops	workshop	NOUN
aiti-13516	323	35	,	,	PUNCT
aiti-13516	323	36	article	article	NOUN
aiti-13516	323	37	no	no	NOUN
aiti-13516	323	38	.	.	PROPN
aiti-13516	323	39	4563110	4563110	NUM
aiti-13516	323	40	,	,	PUNCT
aiti-13516	323	41	june	june	PROPN
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aiti-13516	323	43	.	.	PUNCT
aiti-13516	324	1	[	[	X
aiti-13516	324	2	25	25	NUM
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aiti-13516	324	4	t.	t.	PROPN
aiti-13516	324	5	h.	h.	PROPN
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aiti-13516	324	7	,	,	PUNCT
aiti-13516	324	8	m.	m.	NOUN
aiti-13516	324	9	i.	i.	PROPN
aiti-13516	324	10	ahmad	ahmad	PROPN
aiti-13516	324	11	,	,	PUNCT
aiti-13516	324	12	m.	m.	PROPN
aiti-13516	324	13	n.	n.	PROPN
aiti-13516	324	14	md	md	PROPN
aiti-13516	324	15	isa	isa	PROPN
aiti-13516	324	16	,	,	PUNCT
aiti-13516	324	17	s.	s.	PROPN
aiti-13516	324	18	a.	a.	PROPN
aiti-13516	324	19	anwar	anwar	PROPN
aiti-13516	324	20	,	,	PUNCT
aiti-13516	324	21	and	and	CCONJ
aiti-13516	324	22	r.	r.	PROPN
aiti-13516	324	23	ngadiran	ngadiran	NOUN
aiti-13516	324	24	,	,	PUNCT
aiti-13516	324	25	“	"	PUNCT
aiti-13516	324	26	palmprint	palmprint	NOUN
aiti-13516	324	27	region	region	NOUN
aiti-13516	324	28	of	of	ADP
aiti-13516	324	29	interest	interest	NOUN
aiti-13516	324	30	cropping	crop	VERB
aiti-13516	324	31	based	base	VERB
aiti-13516	324	32	on	on	ADP
aiti-13516	324	33	moore	moore	PROPN
aiti-13516	324	34	-	-	PUNCT
aiti-13516	324	35	neighbor	neighbor	NOUN
aiti-13516	324	36	tracing	trace	VERB
aiti-13516	324	37	algorithm	algorithm	NOUN
aiti-13516	324	38	,	,	PUNCT
aiti-13516	324	39	”	"	PUNCT
aiti-13516	324	40	sensing	sense	VERB
aiti-13516	324	41	and	and	CCONJ
aiti-13516	324	42	imaging	imaging	NOUN
aiti-13516	324	43	,	,	PUNCT
aiti-13516	324	44	vol	vol	NOUN
aiti-13516	324	45	.	.	PROPN
aiti-13516	324	46	19	19	NUM
aiti-13516	324	47	,	,	PUNCT
aiti-13516	324	48	no	no	INTJ
aiti-13516	324	49	.	.	NOUN
aiti-13516	324	50	1	1	NUM
aiti-13516	324	51	,	,	PUNCT
aiti-13516	324	52	article	article	NOUN
aiti-13516	324	53	no	no	NOUN
aiti-13516	324	54	.	.	PROPN
aiti-13516	324	55	15	15	NUM
aiti-13516	324	56	,	,	PUNCT
aiti-13516	324	57	december	december	PROPN
aiti-13516	324	58	2018	2018	NUM
aiti-13516	324	59	.	.	PUNCT
aiti-13516	325	1	[	[	X
aiti-13516	325	2	26	26	NUM
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aiti-13516	325	4	i.	i.	PROPN
aiti-13516	325	5	s.	s.	PROPN
aiti-13516	325	6	hussein	hussein	PROPN
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aiti-13516	325	8	n.	n.	PROPN
aiti-13516	325	9	n.	n.	PROPN
aiti-13516	325	10	a.	a.	PROPN
aiti-13516	325	11	sjarif	sjarif	PROPN
aiti-13516	325	12	,	,	PUNCT
aiti-13516	325	13	“	"	PUNCT
aiti-13516	325	14	human	human	ADJ
aiti-13516	325	15	recognition	recognition	NOUN
aiti-13516	325	16	based	base	VERB
aiti-13516	325	17	on	on	ADP
aiti-13516	325	18	multi	multi	ADJ
aiti-13516	325	19	-	-	NOUN
aiti-13516	325	20	instance	instance	NOUN
aiti-13516	325	21	ear	ear	NOUN
aiti-13516	325	22	scheme	scheme	NOUN
aiti-13516	325	23	,	,	PUNCT
aiti-13516	325	24	”	"	PUNCT
aiti-13516	325	25	international	international	ADJ
aiti-13516	325	26	journal	journal	NOUN
aiti-13516	325	27	of	of	ADP
aiti-13516	325	28	computing	computing	NOUN
aiti-13516	325	29	,	,	PUNCT
aiti-13516	325	30	vol	vol	NOUN
aiti-13516	325	31	.	.	PROPN
aiti-13516	325	32	22	22	NUM
aiti-13516	325	33	,	,	PUNCT
aiti-13516	325	34	no	no	INTJ
aiti-13516	325	35	.	.	NOUN
aiti-13516	325	36	3	3	NUM
aiti-13516	325	37	,	,	PUNCT
aiti-13516	325	38	pp	pp	ADJ
aiti-13516	325	39	.	.	PUNCT
aiti-13516	326	1	397	397	NUM
aiti-13516	326	2	-	-	SYM
aiti-13516	326	3	403	403	NUM
aiti-13516	326	4	,	,	PUNCT
aiti-13516	326	5	october	october	PROPN
aiti-13516	326	6	2023	2023	NUM
aiti-13516	326	7	.	.	PUNCT
aiti-13516	327	1	copyright	copyright	NOUN
aiti-13516	327	2	©	©	PROPN
aiti-13516	327	3	by	by	ADP
aiti-13516	327	4	the	the	DET
aiti-13516	327	5	authors	author	NOUN
aiti-13516	327	6	.	.	PUNCT
aiti-13516	328	1	licensee	licensee	PROPN
aiti-13516	328	2	taeti	taeti	PROPN
aiti-13516	328	3	,	,	PUNCT
aiti-13516	328	4	taiwan	taiwan	PROPN
aiti-13516	328	5	.	.	PUNCT
aiti-13516	329	1	this	this	DET
aiti-13516	329	2	article	article	NOUN
aiti-13516	329	3	is	be	AUX
aiti-13516	329	4	an	an	DET
aiti-13516	329	5	open	open	ADJ
aiti-13516	329	6	-	-	PUNCT
aiti-13516	329	7	access	access	NOUN
aiti-13516	329	8	article	article	NOUN
aiti-13516	329	9	distributed	distribute	VERB
aiti-13516	329	10	under	under	ADP
aiti-13516	329	11	the	the	DET
aiti-13516	329	12	terms	term	NOUN
aiti-13516	329	13	and	and	CCONJ
aiti-13516	329	14	conditions	condition	NOUN
aiti-13516	329	15	of	of	ADP
aiti-13516	329	16	the	the	DET
aiti-13516	329	17	creative	creative	ADJ
aiti-13516	329	18	commons	common	NOUN
aiti-13516	329	19	attribution	attribution	NOUN
aiti-13516	329	20	(	(	PUNCT
aiti-13516	329	21	cc	cc	NOUN
aiti-13516	329	22	by	by	ADP
aiti-13516	329	23	-	-	PUNCT
aiti-13516	329	24	nc	nc	NOUN
aiti-13516	329	25	)	)	PUNCT
aiti-13516	329	26	license	license	NOUN
aiti-13516	329	27	(	(	PUNCT
aiti-13516	329	28	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-13516	329	29	)	)	PUNCT
aiti-13516	329	30	.	.	PUNCT