id	sid	tid	token	lemma	pos
ajst-23609	1	1	academic	academic	ADJ
ajst-23609	1	2	journal	journal	NOUN
ajst-23609	1	3	of	of	ADP
ajst-23609	1	4	science	science	NOUN
ajst-23609	1	5	and	and	CCONJ
ajst-23609	1	6	technology	technology	NOUN
ajst-23609	1	7	issn	issn	NOUN
ajst-23609	1	8	:	:	PUNCT
ajst-23609	1	9	2771	2771	NUM
ajst-23609	1	10	-	-	SYM
ajst-23609	1	11	3032	3032	NUM
ajst-23609	1	12	|	|	NOUN
ajst-23609	1	13	vol	vol	NOUN
ajst-23609	1	14	.	.	PROPN
ajst-23609	2	1	11	11	NUM
ajst-23609	2	2	,	,	PUNCT
ajst-23609	2	3	no	no	INTJ
ajst-23609	2	4	.	.	NOUN
ajst-23609	2	5	3	3	NUM
ajst-23609	2	6	,	,	PUNCT
ajst-23609	2	7	2024	2024	NUM
ajst-23609	2	8	130	130	NUM
ajst-23609	2	9	review	review	NOUN
ajst-23609	2	10	of	of	ADP
ajst-23609	2	11	research	research	NOUN
ajst-23609	2	12	on	on	ADP
ajst-23609	2	13	feature	feature	NOUN
ajst-23609	2	14	extraction	extraction	NOUN
ajst-23609	2	15	algorithms	algorithm	NOUN
ajst-23609	2	16	for	for	ADP
ajst-23609	2	17	finger	finger	NOUN
ajst-23609	2	18	vein	vein	NOUN
ajst-23609	2	19	images	image	NOUN
ajst-23609	2	20	shuai	shuai	PROPN
ajst-23609	2	21	guo	guo	PROPN
ajst-23609	2	22	,	,	PUNCT
ajst-23609	2	23	guangshao	guangshao	PROPN
ajst-23609	2	24	zhou	zhou	PROPN
ajst-23609	2	25	,	,	PUNCT
ajst-23609	2	26	zhibo	zhibo	PROPN
ajst-23609	2	27	chen	chen	PROPN
ajst-23609	2	28	southwest	southwest	PROPN
ajst-23609	2	29	minzu	minzu	PROPN
ajst-23609	2	30	university	university	PROPN
ajst-23609	2	31	,	,	PUNCT
ajst-23609	2	32	chengdu	chengdu	PROPN
ajst-23609	2	33	,	,	PUNCT
ajst-23609	2	34	sichuan	sichuan	PROPN
ajst-23609	2	35	,	,	PUNCT
ajst-23609	2	36	china	china	PROPN
ajst-23609	2	37	abstract	abstract	PROPN
ajst-23609	2	38	:	:	PUNCT
ajst-23609	2	39	with	with	ADP
ajst-23609	2	40	the	the	DET
ajst-23609	2	41	development	development	NOUN
ajst-23609	2	42	of	of	ADP
ajst-23609	2	43	social	social	ADJ
ajst-23609	2	44	informatization	informatization	NOUN
ajst-23609	2	45	,	,	PUNCT
ajst-23609	2	46	biometric	biometric	ADJ
ajst-23609	2	47	identification	identification	NOUN
ajst-23609	2	48	has	have	AUX
ajst-23609	2	49	become	become	VERB
ajst-23609	2	50	the	the	DET
ajst-23609	2	51	key	key	ADJ
ajst-23609	2	52	technology	technology	NOUN
ajst-23609	2	53	of	of	ADP
ajst-23609	2	54	modern	modern	ADJ
ajst-23609	2	55	information	information	NOUN
ajst-23609	2	56	security	security	NOUN
ajst-23609	2	57	.	.	PUNCT
ajst-23609	3	1	finger	finger	NOUN
ajst-23609	3	2	vein	vein	NOUN
ajst-23609	3	3	recognition	recognition	NOUN
ajst-23609	3	4	has	have	AUX
ajst-23609	3	5	become	become	VERB
ajst-23609	3	6	a	a	DET
ajst-23609	3	7	hot	hot	ADJ
ajst-23609	3	8	spot	spot	NOUN
ajst-23609	3	9	of	of	ADP
ajst-23609	3	10	current	current	ADJ
ajst-23609	3	11	research	research	NOUN
ajst-23609	3	12	due	due	ADP
ajst-23609	3	13	to	to	ADP
ajst-23609	3	14	its	its	PRON
ajst-23609	3	15	advantages	advantage	NOUN
ajst-23609	3	16	such	such	ADJ
ajst-23609	3	17	as	as	ADP
ajst-23609	3	18	high	high	ADJ
ajst-23609	3	19	security	security	NOUN
ajst-23609	3	20	and	and	CCONJ
ajst-23609	3	21	living	living	NOUN
ajst-23609	3	22	body	body	NOUN
ajst-23609	3	23	recognition	recognition	NOUN
ajst-23609	3	24	.	.	PUNCT
ajst-23609	4	1	finger	finger	NOUN
ajst-23609	4	2	vein	vein	VERB
ajst-23609	4	3	feature	feature	NOUN
ajst-23609	4	4	extraction	extraction	NOUN
ajst-23609	4	5	is	be	AUX
ajst-23609	4	6	the	the	DET
ajst-23609	4	7	key	key	ADJ
ajst-23609	4	8	link	link	NOUN
ajst-23609	4	9	in	in	ADP
ajst-23609	4	10	the	the	DET
ajst-23609	4	11	finger	finger	NOUN
ajst-23609	4	12	vein	vein	VERB
ajst-23609	4	13	recognition	recognition	NOUN
ajst-23609	4	14	process	process	NOUN
ajst-23609	4	15	,	,	PUNCT
ajst-23609	4	16	which	which	PRON
ajst-23609	4	17	is	be	AUX
ajst-23609	4	18	crucial	crucial	ADJ
ajst-23609	4	19	to	to	ADP
ajst-23609	4	20	the	the	DET
ajst-23609	4	21	overall	overall	ADJ
ajst-23609	4	22	performance	performance	NOUN
ajst-23609	4	23	of	of	ADP
ajst-23609	4	24	the	the	DET
ajst-23609	4	25	recognition	recognition	NOUN
ajst-23609	4	26	system	system	NOUN
ajst-23609	4	27	.	.	PUNCT
ajst-23609	5	1	this	this	DET
ajst-23609	5	2	paper	paper	NOUN
ajst-23609	5	3	firstly	firstly	ADV
ajst-23609	5	4	introduces	introduce	VERB
ajst-23609	5	5	the	the	DET
ajst-23609	5	6	finger	finger	NOUN
ajst-23609	5	7	vein	vein	VERB
ajst-23609	5	8	recognition	recognition	NOUN
ajst-23609	5	9	system	system	NOUN
ajst-23609	5	10	and	and	CCONJ
ajst-23609	5	11	organizes	organize	VERB
ajst-23609	5	12	and	and	CCONJ
ajst-23609	5	13	summarizes	summarize	VERB
ajst-23609	5	14	the	the	DET
ajst-23609	5	15	public	public	ADJ
ajst-23609	5	16	datasets	dataset	NOUN
ajst-23609	5	17	;	;	PUNCT
ajst-23609	5	18	then	then	ADV
ajst-23609	5	19	,	,	PUNCT
ajst-23609	5	20	with	with	ADP
ajst-23609	5	21	deep	deep	ADJ
ajst-23609	5	22	learning	learning	NOUN
ajst-23609	5	23	as	as	ADP
ajst-23609	5	24	the	the	DET
ajst-23609	5	25	boundary	boundary	NOUN
ajst-23609	5	26	,	,	PUNCT
ajst-23609	5	27	it	it	PRON
ajst-23609	5	28	classifies	classify	VERB
ajst-23609	5	29	and	and	CCONJ
ajst-23609	5	30	researches	research	VERB
ajst-23609	5	31	the	the	DET
ajst-23609	5	32	applications	application	NOUN
ajst-23609	5	33	of	of	ADP
ajst-23609	5	34	vein	vein	ADJ
ajst-23609	5	35	feature	feature	NOUN
ajst-23609	5	36	extraction	extraction	NOUN
ajst-23609	5	37	in	in	ADP
ajst-23609	5	38	recent	recent	ADJ
ajst-23609	5	39	years	year	NOUN
ajst-23609	5	40	,	,	PUNCT
ajst-23609	5	41	and	and	CCONJ
ajst-23609	5	42	combs	comb	NOUN
ajst-23609	5	43	and	and	CCONJ
ajst-23609	5	44	analyzes	analyze	VERB
ajst-23609	5	45	the	the	DET
ajst-23609	5	46	feature	feature	NOUN
ajst-23609	5	47	extraction	extraction	NOUN
ajst-23609	5	48	algorithms	algorithm	NOUN
ajst-23609	5	49	that	that	PRON
ajst-23609	5	50	are	be	AUX
ajst-23609	5	51	the	the	DET
ajst-23609	5	52	focus	focus	NOUN
ajst-23609	5	53	of	of	ADP
ajst-23609	5	54	each	each	DET
ajst-23609	5	55	category	category	NOUN
ajst-23609	5	56	;	;	PUNCT
ajst-23609	5	57	secondly	secondly	ADV
ajst-23609	5	58	,	,	PUNCT
ajst-23609	5	59	it	it	PRON
ajst-23609	5	60	summarizes	summarize	VERB
ajst-23609	5	61	the	the	DET
ajst-23609	5	62	evaluation	evaluation	NOUN
ajst-23609	5	63	indexes	index	NOUN
ajst-23609	5	64	in	in	ADP
ajst-23609	5	65	the	the	DET
ajst-23609	5	66	field	field	NOUN
ajst-23609	5	67	of	of	ADP
ajst-23609	5	68	finger	finger	NOUN
ajst-23609	5	69	vein	vein	NOUN
ajst-23609	5	70	recognition	recognition	NOUN
ajst-23609	5	71	;	;	PUNCT
ajst-23609	5	72	and	and	CCONJ
ajst-23609	5	73	finally	finally	ADV
ajst-23609	5	74	,	,	PUNCT
ajst-23609	5	75	it	it	PRON
ajst-23609	5	76	sums	sum	VERB
ajst-23609	5	77	up	up	ADP
ajst-23609	5	78	the	the	DET
ajst-23609	5	79	status	status	NOUN
ajst-23609	5	80	quo	quo	NOUN
ajst-23609	5	81	of	of	ADP
ajst-23609	5	82	the	the	DET
ajst-23609	5	83	finger	finger	NOUN
ajst-23609	5	84	vein	vein	VERB
ajst-23609	5	85	feature	feature	NOUN
ajst-23609	5	86	extraction	extraction	NOUN
ajst-23609	5	87	and	and	CCONJ
ajst-23609	5	88	the	the	DET
ajst-23609	5	89	challenges	challenge	NOUN
ajst-23609	5	90	it	it	PRON
ajst-23609	5	91	faces	face	VERB
ajst-23609	5	92	.	.	PUNCT
ajst-23609	6	1	keywords	keyword	NOUN
ajst-23609	6	2	:	:	PUNCT
ajst-23609	6	3	information	information	NOUN
ajst-23609	6	4	security	security	NOUN
ajst-23609	6	5	;	;	PUNCT
ajst-23609	6	6	finger	finger	NOUN
ajst-23609	6	7	vein	vein	NOUN
ajst-23609	6	8	recognition	recognition	NOUN
ajst-23609	6	9	;	;	PUNCT
ajst-23609	6	10	deep	deep	ADJ
ajst-23609	6	11	learning	learning	NOUN
ajst-23609	6	12	;	;	PUNCT
ajst-23609	6	13	feature	feature	NOUN
ajst-23609	6	14	extraction	extraction	NOUN
ajst-23609	6	15	.	.	PUNCT
ajst-23609	7	1	1	1	X
ajst-23609	7	2	.	.	X
ajst-23609	7	3	introduction	introduction	NOUN
ajst-23609	7	4	with	with	ADP
ajst-23609	7	5	the	the	DET
ajst-23609	7	6	development	development	NOUN
ajst-23609	7	7	of	of	ADP
ajst-23609	7	8	informationization	informationization	NOUN
ajst-23609	7	9	and	and	CCONJ
ajst-23609	7	10	intelligence	intelligence	NOUN
ajst-23609	7	11	in	in	ADP
ajst-23609	7	12	society	society	NOUN
ajst-23609	7	13	,	,	PUNCT
ajst-23609	7	14	identity	identity	NOUN
ajst-23609	7	15	verification	verification	NOUN
ajst-23609	7	16	has	have	AUX
ajst-23609	7	17	become	become	VERB
ajst-23609	7	18	an	an	DET
ajst-23609	7	19	indispensable	indispensable	ADJ
ajst-23609	7	20	part	part	NOUN
ajst-23609	7	21	of	of	ADP
ajst-23609	7	22	people	people	NOUN
ajst-23609	7	23	's	's	PART
ajst-23609	7	24	daily	daily	ADJ
ajst-23609	7	25	lives	life	NOUN
ajst-23609	7	26	.	.	PUNCT
ajst-23609	8	1	from	from	ADP
ajst-23609	8	2	logging	log	VERB
ajst-23609	8	3	into	into	ADP
ajst-23609	8	4	computers	computer	NOUN
ajst-23609	8	5	and	and	CCONJ
ajst-23609	8	6	electronic	electronic	ADJ
ajst-23609	8	7	accounts	account	NOUN
ajst-23609	8	8	to	to	ADP
ajst-23609	8	9	using	use	VERB
ajst-23609	8	10	atms	atms	NOUN
ajst-23609	8	11	and	and	CCONJ
ajst-23609	8	12	access	access	NOUN
ajst-23609	8	13	control	control	NOUN
ajst-23609	8	14	systems	system	NOUN
ajst-23609	8	15	,	,	PUNCT
ajst-23609	8	16	authentication	authentication	NOUN
ajst-23609	8	17	is	be	AUX
ajst-23609	8	18	ubiquitous	ubiquitous	ADJ
ajst-23609	8	19	.	.	PUNCT
ajst-23609	9	1	traditional	traditional	ADJ
ajst-23609	9	2	authentication	authentication	NOUN
ajst-23609	9	3	methods	method	NOUN
ajst-23609	9	4	,	,	PUNCT
ajst-23609	9	5	such	such	ADJ
ajst-23609	9	6	as	as	ADP
ajst-23609	9	7	passwords	password	NOUN
ajst-23609	9	8	and	and	CCONJ
ajst-23609	9	9	access	access	NOUN
ajst-23609	9	10	cards	card	NOUN
ajst-23609	9	11	,	,	PUNCT
ajst-23609	9	12	are	be	AUX
ajst-23609	9	13	no	no	ADV
ajst-23609	9	14	longer	long	ADV
ajst-23609	9	15	able	able	ADJ
ajst-23609	9	16	to	to	PART
ajst-23609	9	17	meet	meet	VERB
ajst-23609	9	18	the	the	DET
ajst-23609	9	19	demands	demand	NOUN
ajst-23609	9	20	for	for	ADP
ajst-23609	9	21	security	security	NOUN
ajst-23609	9	22	and	and	CCONJ
ajst-23609	9	23	convenience	convenience	NOUN
ajst-23609	9	24	in	in	ADP
ajst-23609	9	25	modern	modern	ADJ
ajst-23609	9	26	society	society	NOUN
ajst-23609	9	27	.	.	PUNCT
ajst-23609	10	1	biometric	biometric	ADJ
ajst-23609	10	2	technology	technology	NOUN
ajst-23609	10	3	significantly	significantly	ADV
ajst-23609	10	4	improves	improve	VERB
ajst-23609	10	5	security	security	NOUN
ajst-23609	10	6	and	and	CCONJ
ajst-23609	10	7	convenience	convenience	NOUN
ajst-23609	10	8	by	by	ADP
ajst-23609	10	9	using	use	VERB
ajst-23609	10	10	human	human	ADJ
ajst-23609	10	11	behavioral	behavioral	ADJ
ajst-23609	10	12	and	and	CCONJ
ajst-23609	10	13	physiological	physiological	ADJ
ajst-23609	10	14	characteristics	characteristic	NOUN
ajst-23609	10	15	for	for	ADP
ajst-23609	10	16	identity	identity	NOUN
ajst-23609	10	17	authentication	authentication	NOUN
ajst-23609	10	18	[	[	X
ajst-23609	10	19	1	1	NUM
ajst-23609	10	20	]	]	PUNCT
ajst-23609	10	21	,	,	PUNCT
ajst-23609	10	22	solving	solve	VERB
ajst-23609	10	23	problems	problem	NOUN
ajst-23609	10	24	such	such	ADJ
ajst-23609	10	25	as	as	ADP
ajst-23609	10	26	forgotten	forget	VERB
ajst-23609	10	27	passwords	password	NOUN
ajst-23609	10	28	and	and	CCONJ
ajst-23609	10	29	lost	lose	VERB
ajst-23609	10	30	cards	card	NOUN
ajst-23609	10	31	.	.	PUNCT
ajst-23609	11	1	therefore	therefore	ADV
ajst-23609	11	2	,	,	PUNCT
ajst-23609	11	3	biometrics	biometric	NOUN
ajst-23609	11	4	has	have	AUX
ajst-23609	11	5	become	become	VERB
ajst-23609	11	6	a	a	DET
ajst-23609	11	7	key	key	ADJ
ajst-23609	11	8	solution	solution	NOUN
ajst-23609	11	9	for	for	ADP
ajst-23609	11	10	identity	identity	NOUN
ajst-23609	11	11	authentication	authentication	NOUN
ajst-23609	11	12	.	.	PUNCT
ajst-23609	12	1	biometrics	biometric	NOUN
ajst-23609	12	2	refers	refer	VERB
ajst-23609	12	3	to	to	ADP
ajst-23609	12	4	technologies	technology	NOUN
ajst-23609	12	5	that	that	PRON
ajst-23609	12	6	utilize	utilize	VERB
ajst-23609	12	7	unique	unique	ADJ
ajst-23609	12	8	,	,	PUNCT
ajst-23609	12	9	measurable	measurable	ADJ
ajst-23609	12	10	human	human	ADJ
ajst-23609	12	11	characteristics	characteristic	NOUN
ajst-23609	12	12	to	to	PART
ajst-23609	12	13	identify	identify	VERB
ajst-23609	12	14	individuals	individual	NOUN
ajst-23609	12	15	.	.	PUNCT
ajst-23609	13	1	these	these	DET
ajst-23609	13	2	biometric	biometric	ADJ
ajst-23609	13	3	features	feature	NOUN
ajst-23609	13	4	are	be	AUX
ajst-23609	13	5	usually	usually	ADV
ajst-23609	13	6	classified	classify	VERB
ajst-23609	13	7	into	into	ADP
ajst-23609	13	8	two	two	NUM
ajst-23609	13	9	categories	category	NOUN
ajst-23609	13	10	:	:	PUNCT
ajst-23609	13	11	(	(	PUNCT
ajst-23609	13	12	1	1	X
ajst-23609	13	13	)	)	PUNCT
ajst-23609	13	14	behavioral	behavioral	ADJ
ajst-23609	13	15	features	feature	NOUN
ajst-23609	13	16	,	,	PUNCT
ajst-23609	13	17	such	such	ADJ
ajst-23609	13	18	as	as	ADP
ajst-23609	13	19	signature	signature	NOUN
ajst-23609	13	20	,	,	PUNCT
ajst-23609	13	21	gait	gait	NOUN
ajst-23609	13	22	,	,	PUNCT
ajst-23609	13	23	and	and	CCONJ
ajst-23609	13	24	voice	voice	NOUN
ajst-23609	13	25	;	;	PUNCT
ajst-23609	13	26	and	and	CCONJ
ajst-23609	13	27	(	(	PUNCT
ajst-23609	13	28	2	2	X
ajst-23609	13	29	)	)	PUNCT
ajst-23609	13	30	physiological	physiological	ADJ
ajst-23609	13	31	features	feature	NOUN
ajst-23609	13	32	,	,	PUNCT
ajst-23609	13	33	such	such	ADJ
ajst-23609	13	34	as	as	ADP
ajst-23609	13	35	fingerprints	fingerprint	NOUN
ajst-23609	13	36	,	,	PUNCT
ajst-23609	13	37	faces	face	NOUN
ajst-23609	13	38	,	,	PUNCT
ajst-23609	13	39	irises	iris	NOUN
ajst-23609	13	40	[	[	X
ajst-23609	13	41	2	2	NUM
ajst-23609	13	42	]	]	PUNCT
ajst-23609	13	43	,	,	PUNCT
ajst-23609	13	44	palm	palm	NOUN
ajst-23609	13	45	prints	print	NOUN
ajst-23609	14	1	[	[	X
ajst-23609	14	2	3	3	NUM
ajst-23609	14	3	]	]	PUNCT
ajst-23609	14	4	,	,	PUNCT
ajst-23609	14	5	and	and	CCONJ
ajst-23609	14	6	finger	finger	NOUN
ajst-23609	14	7	veins	vein	NOUN
ajst-23609	15	1	[	[	X
ajst-23609	15	2	4	4	NUM
ajst-23609	15	3	]	]	PUNCT
ajst-23609	15	4	.	.	PUNCT
ajst-23609	16	1	currently	currently	ADV
ajst-23609	16	2	,	,	PUNCT
ajst-23609	16	3	the	the	DET
ajst-23609	16	4	most	most	ADV
ajst-23609	16	5	mature	mature	ADJ
ajst-23609	16	6	and	and	CCONJ
ajst-23609	16	7	widely	widely	ADV
ajst-23609	16	8	used	use	VERB
ajst-23609	16	9	technologies	technology	NOUN
ajst-23609	16	10	are	be	AUX
ajst-23609	16	11	face	face	NOUN
ajst-23609	16	12	recognition	recognition	NOUN
ajst-23609	16	13	and	and	CCONJ
ajst-23609	16	14	fingerprint	fingerprint	NOUN
ajst-23609	16	15	recognition	recognition	NOUN
ajst-23609	16	16	.	.	PUNCT
ajst-23609	17	1	however	however	ADV
ajst-23609	17	2	,	,	PUNCT
ajst-23609	17	3	in	in	ADP
ajst-23609	17	4	some	some	DET
ajst-23609	17	5	special	special	ADJ
ajst-23609	17	6	cases	case	NOUN
ajst-23609	17	7	,	,	PUNCT
ajst-23609	17	8	these	these	DET
ajst-23609	17	9	methods	method	NOUN
ajst-23609	17	10	may	may	AUX
ajst-23609	17	11	be	be	AUX
ajst-23609	17	12	limited	limit	VERB
ajst-23609	17	13	.	.	PUNCT
ajst-23609	18	1	for	for	ADP
ajst-23609	18	2	example	example	NOUN
ajst-23609	18	3	,	,	PUNCT
ajst-23609	18	4	face	face	VERB
ajst-23609	18	5	recognition	recognition	NOUN
ajst-23609	19	1	[	[	X
ajst-23609	19	2	5	5	NUM
ajst-23609	19	3	]	]	PUNCT
ajst-23609	19	4	is	be	AUX
ajst-23609	19	5	susceptible	susceptible	ADJ
ajst-23609	19	6	to	to	ADP
ajst-23609	19	7	light	light	ADJ
ajst-23609	19	8	variations	variation	NOUN
ajst-23609	19	9	and	and	CCONJ
ajst-23609	19	10	facial	facial	ADJ
ajst-23609	19	11	angles	angle	NOUN
ajst-23609	19	12	.	.	PUNCT
ajst-23609	20	1	fingerprint	fingerprint	NOUN
ajst-23609	20	2	recognition	recognition	NOUN
ajst-23609	21	1	[	[	X
ajst-23609	21	2	6	6	NUM
ajst-23609	21	3	]	]	PUNCT
ajst-23609	21	4	is	be	AUX
ajst-23609	21	5	susceptible	susceptible	ADJ
ajst-23609	21	6	to	to	ADP
ajst-23609	21	7	forgery	forgery	NOUN
ajst-23609	21	8	because	because	SCONJ
ajst-23609	21	9	fingerprints	fingerprint	NOUN
ajst-23609	21	10	are	be	AUX
ajst-23609	21	11	often	often	ADV
ajst-23609	21	12	exposed	expose	VERB
ajst-23609	21	13	;	;	PUNCT
ajst-23609	21	14	in	in	ADP
ajst-23609	21	15	addition	addition	NOUN
ajst-23609	21	16	,	,	PUNCT
ajst-23609	21	17	dryness	dryness	NOUN
ajst-23609	21	18	or	or	CCONJ
ajst-23609	21	19	sweating	sweating	NOUN
ajst-23609	21	20	of	of	ADP
ajst-23609	21	21	the	the	DET
ajst-23609	21	22	fingers	finger	NOUN
ajst-23609	21	23	can	can	AUX
ajst-23609	21	24	prevent	prevent	VERB
ajst-23609	21	25	a	a	DET
ajst-23609	21	26	clear	clear	ADJ
ajst-23609	21	27	pattern	pattern	NOUN
ajst-23609	21	28	from	from	ADP
ajst-23609	21	29	being	be	AUX
ajst-23609	21	30	obtained	obtain	VERB
ajst-23609	21	31	,	,	PUNCT
ajst-23609	21	32	which	which	PRON
ajst-23609	21	33	in	in	ADP
ajst-23609	21	34	turn	turn	NOUN
ajst-23609	21	35	affects	affect	VERB
ajst-23609	21	36	the	the	DET
ajst-23609	21	37	recognition	recognition	NOUN
ajst-23609	21	38	effect	effect	NOUN
ajst-23609	21	39	.	.	PUNCT
ajst-23609	22	1	finger	finger	NOUN
ajst-23609	22	2	vein	vein	NOUN
ajst-23609	22	3	recognition	recognition	NOUN
ajst-23609	22	4	has	have	AUX
ajst-23609	22	5	been	be	AUX
ajst-23609	22	6	investigated	investigate	VERB
ajst-23609	22	7	to	to	PART
ajst-23609	22	8	overcome	overcome	VERB
ajst-23609	22	9	the	the	DET
ajst-23609	22	10	limitations	limitation	NOUN
ajst-23609	22	11	of	of	ADP
ajst-23609	22	12	current	current	ADJ
ajst-23609	22	13	face	face	NOUN
ajst-23609	22	14	and	and	CCONJ
ajst-23609	22	15	fingerprint	fingerprint	NOUN
ajst-23609	22	16	-	-	PUNCT
ajst-23609	22	17	based	base	VERB
ajst-23609	22	18	recognition	recognition	NOUN
ajst-23609	22	19	systems	system	NOUN
ajst-23609	22	20	[	[	X
ajst-23609	22	21	7	7	NUM
ajst-23609	22	22	]	]	PUNCT
ajst-23609	22	23	.	.	PUNCT
ajst-23609	23	1	yanagawa	yanagawa	PROPN
ajst-23609	23	2	et	et	PROPN
ajst-23609	23	3	al	al	PROPN
ajst-23609	23	4	.	.	PUNCT
ajst-23609	24	1	[	[	X
ajst-23609	24	2	8	8	NUM
ajst-23609	24	3	]	]	PUNCT
ajst-23609	24	4	demonstrated	demonstrate	VERB
ajst-23609	24	5	that	that	SCONJ
ajst-23609	24	6	each	each	DET
ajst-23609	24	7	finger	finger	NOUN
ajst-23609	24	8	has	have	VERB
ajst-23609	24	9	a	a	DET
ajst-23609	24	10	unique	unique	ADJ
ajst-23609	24	11	vein	vein	NOUN
ajst-23609	24	12	pattern	pattern	NOUN
ajst-23609	24	13	that	that	PRON
ajst-23609	24	14	can	can	AUX
ajst-23609	24	15	be	be	AUX
ajst-23609	24	16	used	use	VERB
ajst-23609	24	17	for	for	ADP
ajst-23609	24	18	personal	personal	ADJ
ajst-23609	24	19	verification	verification	NOUN
ajst-23609	24	20	.	.	PUNCT
ajst-23609	25	1	finger	finger	NOUN
ajst-23609	25	2	vein	vein	NOUN
ajst-23609	25	3	-	-	PUNCT
ajst-23609	25	4	based	base	VERB
ajst-23609	25	5	biometrics	biometric	NOUN
ajst-23609	25	6	have	have	VERB
ajst-23609	25	7	several	several	ADJ
ajst-23609	25	8	advantages	advantage	NOUN
ajst-23609	25	9	over	over	ADP
ajst-23609	25	10	biometric	biometric	ADJ
ajst-23609	25	11	methods	method	NOUN
ajst-23609	25	12	[	[	X
ajst-23609	25	13	9	9	NUM
ajst-23609	25	14	]	]	PUNCT
ajst-23609	25	15	.	.	PUNCT
ajst-23609	26	1	(	(	PUNCT
ajst-23609	26	2	1	1	X
ajst-23609	26	3	)	)	PUNCT
ajst-23609	26	4	first	first	ADV
ajst-23609	26	5	of	of	ADP
ajst-23609	26	6	all	all	PRON
ajst-23609	26	7	,	,	PUNCT
ajst-23609	26	8	finger	finger	NOUN
ajst-23609	26	9	vein	vein	NOUN
ajst-23609	26	10	pattern	pattern	NOUN
ajst-23609	26	11	is	be	AUX
ajst-23609	26	12	an	an	DET
ajst-23609	26	13	internal	internal	ADJ
ajst-23609	26	14	feature	feature	NOUN
ajst-23609	26	15	,	,	PUNCT
ajst-23609	26	16	and	and	CCONJ
ajst-23609	26	17	not	not	PART
ajst-23609	26	18	only	only	ADV
ajst-23609	26	19	its	its	PRON
ajst-23609	26	20	quality	quality	NOUN
ajst-23609	26	21	is	be	AUX
ajst-23609	26	22	not	not	PART
ajst-23609	26	23	easily	easily	ADV
ajst-23609	26	24	affected	affect	VERB
ajst-23609	26	25	by	by	ADP
ajst-23609	26	26	the	the	DET
ajst-23609	26	27	skin	skin	NOUN
ajst-23609	26	28	condition	condition	NOUN
ajst-23609	26	29	is	be	AUX
ajst-23609	26	30	difficult	difficult	ADJ
ajst-23609	26	31	but	but	CCONJ
ajst-23609	26	32	also	also	ADV
ajst-23609	26	33	difficult	difficult	ADJ
ajst-23609	26	34	to	to	PART
ajst-23609	26	35	replicate	replicate	VERB
ajst-23609	26	36	.	.	PUNCT
ajst-23609	27	1	(	(	PUNCT
ajst-23609	27	2	2	2	X
ajst-23609	27	3	)	)	PUNCT
ajst-23609	27	4	in	in	ADP
ajst-23609	27	5	addition	addition	NOUN
ajst-23609	27	6	,	,	PUNCT
ajst-23609	27	7	the	the	DET
ajst-23609	27	8	contactless	contactless	NOUN
ajst-23609	27	9	capture	capture	NOUN
ajst-23609	27	10	of	of	ADP
ajst-23609	27	11	finger	finger	NOUN
ajst-23609	27	12	vein	vein	NOUN
ajst-23609	27	13	recognition	recognition	NOUN
ajst-23609	27	14	ensures	ensure	VERB
ajst-23609	27	15	user	user	NOUN
ajst-23609	27	16	convenience	convenience	NOUN
ajst-23609	27	17	and	and	CCONJ
ajst-23609	27	18	hygiene	hygiene	NOUN
ajst-23609	27	19	.	.	PUNCT
ajst-23609	28	1	(	(	PUNCT
ajst-23609	28	2	3	3	X
ajst-23609	28	3	)	)	PUNCT
ajst-23609	28	4	finally	finally	ADV
ajst-23609	28	5	,	,	PUNCT
ajst-23609	28	6	finger	finger	NOUN
ajst-23609	28	7	vein	vein	NOUN
ajst-23609	28	8	recognition	recognition	NOUN
ajst-23609	28	9	is	be	AUX
ajst-23609	28	10	a	a	DET
ajst-23609	28	11	living	live	VERB
ajst-23609	28	12	body	body	NOUN
ajst-23609	28	13	recognition	recognition	NOUN
ajst-23609	28	14	,	,	PUNCT
ajst-23609	28	15	therefore	therefore	ADV
ajst-23609	28	16	,	,	PUNCT
ajst-23609	28	17	when	when	SCONJ
ajst-23609	28	18	finger	finger	NOUN
ajst-23609	28	19	veins	vein	NOUN
ajst-23609	28	20	are	be	AUX
ajst-23609	28	21	used	use	VERB
ajst-23609	28	22	for	for	ADP
ajst-23609	28	23	authentication	authentication	NOUN
ajst-23609	28	24	,	,	PUNCT
ajst-23609	28	25	the	the	DET
ajst-23609	28	26	subject	subject	NOUN
ajst-23609	28	27	who	who	PRON
ajst-23609	28	28	successfully	successfully	ADV
ajst-23609	28	29	captures	capture	VERB
ajst-23609	28	30	the	the	DET
ajst-23609	28	31	finger	finger	NOUN
ajst-23609	28	32	veins	vein	NOUN
ajst-23609	28	33	must	must	AUX
ajst-23609	28	34	be	be	AUX
ajst-23609	28	35	a	a	DET
ajst-23609	28	36	living	live	VERB
ajst-23609	28	37	body	body	NOUN
ajst-23609	28	38	,	,	PUNCT
ajst-23609	28	39	which	which	PRON
ajst-23609	28	40	is	be	AUX
ajst-23609	28	41	a	a	DET
ajst-23609	28	42	natural	natural	ADJ
ajst-23609	28	43	and	and	CCONJ
ajst-23609	28	44	unforgeable	unforgeable	ADJ
ajst-23609	28	45	evidence	evidence	NOUN
ajst-23609	28	46	.	.	PUNCT
ajst-23609	29	1	finger	finger	NOUN
ajst-23609	29	2	vein	vein	ADJ
ajst-23609	29	3	recognition	recognition	NOUN
ajst-23609	29	4	consists	consist	VERB
ajst-23609	29	5	of	of	ADP
ajst-23609	29	6	four	four	NUM
ajst-23609	29	7	main	main	ADJ
ajst-23609	29	8	stages	stage	NOUN
ajst-23609	29	9	:	:	PUNCT
ajst-23609	29	10	(	(	PUNCT
ajst-23609	29	11	1	1	X
ajst-23609	29	12	)	)	PUNCT
ajst-23609	29	13	image	image	NOUN
ajst-23609	29	14	acquisition	acquisition	NOUN
ajst-23609	29	15	,	,	PUNCT
ajst-23609	29	16	(	(	PUNCT
ajst-23609	29	17	2	2	X
ajst-23609	29	18	)	)	PUNCT
ajst-23609	29	19	preprocessing	preprocessing	NOUN
ajst-23609	29	20	,	,	PUNCT
ajst-23609	29	21	(	(	PUNCT
ajst-23609	29	22	3	3	X
ajst-23609	29	23	)	)	PUNCT
ajst-23609	29	24	feature	feature	NOUN
ajst-23609	29	25	extraction	extraction	NOUN
ajst-23609	29	26	,	,	PUNCT
ajst-23609	29	27	and	and	CCONJ
ajst-23609	29	28	(	(	PUNCT
ajst-23609	29	29	4	4	X
ajst-23609	29	30	)	)	PUNCT
ajst-23609	29	31	feature	feature	NOUN
ajst-23609	29	32	matching	matching	NOUN
ajst-23609	29	33	.	.	PUNCT
ajst-23609	30	1	some	some	DET
ajst-23609	30	2	scholars	scholar	NOUN
ajst-23609	30	3	have	have	AUX
ajst-23609	30	4	discussed	discuss	VERB
ajst-23609	30	5	the	the	DET
ajst-23609	30	6	different	different	ADJ
ajst-23609	30	7	stages	stage	NOUN
ajst-23609	30	8	of	of	ADP
ajst-23609	30	9	finger	finger	NOUN
ajst-23609	30	10	vein	vein	NOUN
ajst-23609	30	11	recognition	recognition	NOUN
ajst-23609	30	12	systems	system	NOUN
ajst-23609	30	13	in	in	ADP
ajst-23609	30	14	their	their	PRON
ajst-23609	30	15	review	review	NOUN
ajst-23609	30	16	studies	study	NOUN
ajst-23609	30	17	.	.	PUNCT
ajst-23609	31	1	for	for	ADP
ajst-23609	31	2	example	example	NOUN
ajst-23609	31	3	,	,	PUNCT
ajst-23609	31	4	yin	yin	PROPN
ajst-23609	31	5	et	et	NOUN
ajst-23609	31	6	al	al	PROPN
ajst-23609	31	7	[	[	X
ajst-23609	31	8	10	10	NUM
ajst-23609	31	9	]	]	PUNCT
ajst-23609	31	10	wrote	write	VERB
ajst-23609	31	11	a	a	DET
ajst-23609	31	12	review	review	NOUN
ajst-23609	31	13	focusing	focus	VERB
ajst-23609	31	14	on	on	ADP
ajst-23609	31	15	feature	feature	NOUN
ajst-23609	31	16	extraction	extraction	NOUN
ajst-23609	31	17	methods	method	NOUN
ajst-23609	31	18	and	and	CCONJ
ajst-23609	31	19	analyzed	analyze	VERB
ajst-23609	31	20	how	how	SCONJ
ajst-23609	31	21	to	to	PART
ajst-23609	31	22	reduce	reduce	VERB
ajst-23609	31	23	the	the	DET
ajst-23609	31	24	price	price	NOUN
ajst-23609	31	25	of	of	ADP
ajst-23609	31	26	acquisition	acquisition	NOUN
ajst-23609	31	27	equipment	equipment	NOUN
ajst-23609	31	28	,	,	PUNCT
ajst-23609	31	29	improve	improve	VERB
ajst-23609	31	30	image	image	NOUN
ajst-23609	31	31	quality	quality	NOUN
ajst-23609	31	32	,	,	PUNCT
ajst-23609	31	33	and	and	CCONJ
ajst-23609	31	34	other	other	ADJ
ajst-23609	31	35	application	application	NOUN
ajst-23609	31	36	aspects	aspect	NOUN
ajst-23609	31	37	.	.	PUNCT
ajst-23609	32	1	wang	wang	PROPN
ajst-23609	32	2	et	et	PROPN
ajst-23609	32	3	al	al	PROPN
ajst-23609	33	1	[	[	X
ajst-23609	33	2	11	11	NUM
ajst-23609	33	3	]	]	PUNCT
ajst-23609	33	4	conducted	conduct	VERB
ajst-23609	33	5	a	a	DET
ajst-23609	33	6	study	study	NOUN
ajst-23609	33	7	on	on	ADP
ajst-23609	33	8	finger	finger	NOUN
ajst-23609	33	9	vein	vein	ADJ
ajst-23609	33	10	region	region	NOUN
ajst-23609	33	11	of	of	ADP
ajst-23609	33	12	interest	interest	NOUN
ajst-23609	33	13	extraction	extraction	NOUN
ajst-23609	33	14	,	,	PUNCT
ajst-23609	33	15	summarized	summarize	VERB
ajst-23609	33	16	the	the	DET
ajst-23609	33	17	main	main	ADJ
ajst-23609	33	18	work	work	NOUN
ajst-23609	33	19	on	on	ADP
ajst-23609	33	20	region	region	NOUN
ajst-23609	33	21	of	of	ADP
ajst-23609	33	22	interest	interest	NOUN
ajst-23609	33	23	extraction	extraction	NOUN
ajst-23609	33	24	,	,	PUNCT
ajst-23609	33	25	and	and	CCONJ
ajst-23609	33	26	summarized	summarize	VERB
ajst-23609	33	27	the	the	DET
ajst-23609	33	28	representative	representative	ADJ
ajst-23609	33	29	methods	method	NOUN
ajst-23609	33	30	in	in	ADP
ajst-23609	33	31	each	each	DET
ajst-23609	33	32	project	project	NOUN
ajst-23609	33	33	.	.	PUNCT
ajst-23609	34	1	literature	literature	NOUN
ajst-23609	35	1	[	[	X
ajst-23609	35	2	12	12	NUM
ajst-23609	35	3	]	]	PUNCT
ajst-23609	35	4	conducted	conduct	VERB
ajst-23609	35	5	a	a	DET
ajst-23609	35	6	retrospective	retrospective	ADJ
ajst-23609	35	7	study	study	NOUN
ajst-23609	35	8	on	on	ADP
ajst-23609	35	9	deep	deep	ADJ
ajst-23609	35	10	neural	neural	ADJ
ajst-23609	35	11	networks	network	NOUN
ajst-23609	35	12	in	in	ADP
ajst-23609	35	13	the	the	DET
ajst-23609	35	14	field	field	NOUN
ajst-23609	35	15	of	of	ADP
ajst-23609	35	16	finger	finger	NOUN
ajst-23609	35	17	vein	vein	NOUN
ajst-23609	35	18	recognition	recognition	NOUN
ajst-23609	35	19	.	.	PUNCT
ajst-23609	36	1	li	li	PROPN
ajst-23609	36	2	et	et	PROPN
ajst-23609	36	3	al	al	PROPN
ajst-23609	36	4	.	.	PROPN
ajst-23609	36	5	first	first	ADV
ajst-23609	36	6	introduced	introduce	VERB
ajst-23609	36	7	the	the	DET
ajst-23609	36	8	publicly	publicly	ADV
ajst-23609	36	9	available	available	ADJ
ajst-23609	36	10	datasets	dataset	NOUN
ajst-23609	36	11	in	in	ADP
ajst-23609	36	12	the	the	DET
ajst-23609	36	13	field	field	NOUN
ajst-23609	36	14	of	of	ADP
ajst-23609	36	15	finger	finger	NOUN
ajst-23609	36	16	vein	vein	VERB
ajst-23609	36	17	,	,	PUNCT
ajst-23609	36	18	and	and	CCONJ
ajst-23609	36	19	then	then	ADV
ajst-23609	36	20	classified	classify	VERB
ajst-23609	36	21	the	the	DET
ajst-23609	36	22	deep	deep	ADJ
ajst-23609	36	23	learning	learning	NOUN
ajst-23609	36	24	methods	method	NOUN
ajst-23609	36	25	in	in	ADP
ajst-23609	36	26	finger	finger	NOUN
ajst-23609	36	27	vein	vein	NOUN
ajst-23609	36	28	recognition	recognition	NOUN
ajst-23609	36	29	in	in	ADP
ajst-23609	36	30	recent	recent	ADJ
ajst-23609	36	31	years	year	NOUN
ajst-23609	36	32	according	accord	VERB
ajst-23609	36	33	to	to	ADP
ajst-23609	36	34	the	the	DET
ajst-23609	36	35	deep	deep	ADJ
ajst-23609	36	36	neural	neural	ADJ
ajst-23609	36	37	network	network	NOUN
ajst-23609	36	38	learning	learning	NOUN
ajst-23609	36	39	tasks	task	NOUN
ajst-23609	36	40	,	,	PUNCT
ajst-23609	36	41	and	and	CCONJ
ajst-23609	36	42	introduced	introduce	VERB
ajst-23609	36	43	the	the	DET
ajst-23609	36	44	design	design	NOUN
ajst-23609	36	45	techniques	technique	NOUN
ajst-23609	36	46	of	of	ADP
ajst-23609	36	47	finger	finger	NOUN
ajst-23609	36	48	vein	vein	VERB
ajst-23609	36	49	recognition	recognition	NOUN
ajst-23609	36	50	in	in	ADP
ajst-23609	36	51	terms	term	NOUN
ajst-23609	36	52	of	of	ADP
ajst-23609	36	53	lightweight	lightweight	ADJ
ajst-23609	36	54	network	network	NOUN
ajst-23609	36	55	,	,	PUNCT
ajst-23609	36	56	data	datum	NOUN
ajst-23609	36	57	augmentation	augmentation	NOUN
ajst-23609	36	58	,	,	PUNCT
ajst-23609	36	59	and	and	CCONJ
ajst-23609	36	60	attention	attention	NOUN
ajst-23609	36	61	mechanism	mechanism	NOUN
ajst-23609	36	62	.	.	PUNCT
ajst-23609	37	1	they	they	PRON
ajst-23609	37	2	also	also	ADV
ajst-23609	37	3	evaluated	evaluate	VERB
ajst-23609	37	4	the	the	DET
ajst-23609	37	5	existing	exist	VERB
ajst-23609	37	6	literature	literature	NOUN
ajst-23609	37	7	in	in	ADP
ajst-23609	37	8	terms	term	NOUN
ajst-23609	37	9	of	of	ADP
ajst-23609	37	10	accuracy	accuracy	NOUN
ajst-23609	37	11	and	and	CCONJ
ajst-23609	37	12	equal	equal	ADJ
ajst-23609	37	13	error	error	NOUN
ajst-23609	37	14	rate	rate	NOUN
ajst-23609	37	15	.	.	PUNCT
ajst-23609	38	1	the	the	DET
ajst-23609	38	2	above	above	ADJ
ajst-23609	38	3	research	research	NOUN
ajst-23609	38	4	makes	make	VERB
ajst-23609	38	5	a	a	DET
ajst-23609	38	6	significant	significant	ADJ
ajst-23609	38	7	contribution	contribution	NOUN
ajst-23609	38	8	to	to	PART
ajst-23609	38	9	further	far	ADV
ajst-23609	38	10	promote	promote	VERB
ajst-23609	38	11	finger	finger	NOUN
ajst-23609	38	12	vein	vein	VERB
ajst-23609	38	13	recognition	recognition	NOUN
ajst-23609	38	14	in	in	ADP
ajst-23609	38	15	the	the	DET
ajst-23609	38	16	field	field	NOUN
ajst-23609	38	17	of	of	ADP
ajst-23609	38	18	biometric	biometric	ADJ
ajst-23609	38	19	identification	identification	NOUN
ajst-23609	38	20	.	.	PUNCT
ajst-23609	39	1	in	in	ADP
ajst-23609	39	2	recent	recent	ADJ
ajst-23609	39	3	years	year	NOUN
ajst-23609	39	4	,	,	PUNCT
ajst-23609	39	5	deep	deep	ADJ
ajst-23609	39	6	learning	learning	NOUN
ajst-23609	39	7	-	-	PUNCT
ajst-23609	39	8	based	base	VERB
ajst-23609	39	9	methods	method	NOUN
ajst-23609	39	10	have	have	AUX
ajst-23609	39	11	performed	perform	VERB
ajst-23609	39	12	well	well	ADV
ajst-23609	39	13	in	in	ADP
ajst-23609	39	14	the	the	DET
ajst-23609	39	15	fields	field	NOUN
ajst-23609	39	16	of	of	ADP
ajst-23609	39	17	object	object	NOUN
ajst-23609	39	18	detection	detection	NOUN
ajst-23609	39	19	,	,	PUNCT
ajst-23609	39	20	face	face	NOUN
ajst-23609	39	21	recognition	recognition	NOUN
ajst-23609	39	22	and	and	CCONJ
ajst-23609	39	23	image	image	NOUN
ajst-23609	39	24	processing	processing	NOUN
ajst-23609	39	25	.	.	PUNCT
ajst-23609	40	1	similarly	similarly	ADV
ajst-23609	40	2	,	,	PUNCT
ajst-23609	40	3	the	the	DET
ajst-23609	40	4	research	research	NOUN
ajst-23609	40	5	on	on	ADP
ajst-23609	40	6	finger	finger	NOUN
ajst-23609	40	7	vein	vein	VERB
ajst-23609	40	8	feature	feature	NOUN
ajst-23609	40	9	extraction	extraction	NOUN
ajst-23609	40	10	takes	take	VERB
ajst-23609	40	11	deep	deep	ADJ
ajst-23609	40	12	learning	learning	NOUN
ajst-23609	40	13	as	as	ADP
ajst-23609	40	14	the	the	DET
ajst-23609	40	15	demarcation	demarcation	NOUN
ajst-23609	40	16	point	point	NOUN
ajst-23609	40	17	.	.	PUNCT
ajst-23609	41	1	before	before	ADP
ajst-23609	41	2	the	the	DET
ajst-23609	41	3	introduction	introduction	NOUN
ajst-23609	41	4	of	of	ADP
ajst-23609	41	5	deep	deep	ADJ
ajst-23609	41	6	learning	learning	NOUN
ajst-23609	41	7	,	,	PUNCT
ajst-23609	41	8	feature	feature	NOUN
ajst-23609	41	9	extraction	extraction	NOUN
ajst-23609	41	10	mainly	mainly	ADV
ajst-23609	41	11	relied	rely	VERB
ajst-23609	41	12	on	on	ADP
ajst-23609	41	13	features	feature	NOUN
ajst-23609	41	14	such	such	ADJ
ajst-23609	41	15	as	as	ADP
ajst-23609	41	16	vein	vein	NOUN
ajst-23609	41	17	's	's	PART
ajst-23609	41	18	grain	grain	NOUN
ajst-23609	41	19	,	,	PUNCT
ajst-23609	41	20	texture	texture	NOUN
ajst-23609	41	21	and	and	CCONJ
ajst-23609	41	22	detail	detail	NOUN
ajst-23609	41	23	points	point	NOUN
ajst-23609	41	24	,	,	PUNCT
ajst-23609	41	25	whereas	whereas	SCONJ
ajst-23609	41	26	nowadays	nowadays	ADV
ajst-23609	41	27	,	,	PUNCT
ajst-23609	41	28	deep	deep	ADJ
ajst-23609	41	29	learning	learn	VERB
ajst-23609	41	30	neural	neural	ADJ
ajst-23609	41	31	networks	network	NOUN
ajst-23609	41	32	can	can	AUX
ajst-23609	41	33	automatically	automatically	ADV
ajst-23609	41	34	perform	perform	VERB
ajst-23609	41	35	image	image	NOUN
ajst-23609	41	36	feature	feature	NOUN
ajst-23609	41	37	extraction	extraction	NOUN
ajst-23609	41	38	and	and	CCONJ
ajst-23609	41	39	matching	match	VERB
ajst-23609	41	40	for	for	ADP
ajst-23609	41	41	integration	integration	NOUN
ajst-23609	41	42	.	.	PUNCT
ajst-23609	42	1	therefore	therefore	ADV
ajst-23609	42	2	,	,	PUNCT
ajst-23609	42	3	this	this	DET
ajst-23609	42	4	review	review	NOUN
ajst-23609	42	5	divides	divide	VERB
ajst-23609	42	6	the	the	DET
ajst-23609	42	7	methods	method	NOUN
ajst-23609	42	8	of	of	ADP
ajst-23609	42	9	feature	feature	NOUN
ajst-23609	42	10	extraction	extraction	NOUN
ajst-23609	42	11	into	into	ADP
ajst-23609	42	12	two	two	NUM
ajst-23609	42	13	categories	category	NOUN
ajst-23609	42	14	with	with	ADP
ajst-23609	42	15	deep	deep	ADJ
ajst-23609	42	16	learning	learning	NOUN
ajst-23609	42	17	as	as	ADP
ajst-23609	42	18	the	the	DET
ajst-23609	42	19	demarcation	demarcation	NOUN
ajst-23609	42	20	point	point	NOUN
ajst-23609	42	21	:	:	PUNCT
ajst-23609	42	22	nondeep	nondeep	ADJ
ajst-23609	42	23	neural	neural	ADJ
ajst-23609	42	24	network	network	NOUN
ajst-23609	42	25	methods	method	NOUN
ajst-23609	42	26	and	and	CCONJ
ajst-23609	42	27	deep	deep	ADJ
ajst-23609	42	28	neural	neural	ADJ
ajst-23609	42	29	network	network	NOUN
ajst-23609	42	30	methods	method	NOUN
ajst-23609	42	31	.	.	PUNCT
ajst-23609	43	1	in	in	ADP
ajst-23609	43	2	2000	2000	NUM
ajst-23609	43	3	,	,	PUNCT
ajst-23609	43	4	kono	kono	NOUN
ajst-23609	43	5	et	et	NOUN
ajst-23609	43	6	al	al	PROPN
ajst-23609	43	7	[	[	X
ajst-23609	43	8	13	13	NUM
ajst-23609	43	9	]	]	PUNCT
ajst-23609	43	10	proposed	propose	VERB
ajst-23609	43	11	a	a	DET
ajst-23609	43	12	biometric	biometric	ADJ
ajst-23609	43	13	method	method	NOUN
ajst-23609	43	14	131	131	NUM
ajst-23609	43	15	based	base	VERB
ajst-23609	43	16	on	on	ADP
ajst-23609	43	17	finger	finger	NOUN
ajst-23609	43	18	vein	vein	NOUN
ajst-23609	43	19	recognition	recognition	NOUN
ajst-23609	43	20	,	,	PUNCT
ajst-23609	43	21	and	and	CCONJ
ajst-23609	43	22	since	since	SCONJ
ajst-23609	43	23	then	then	ADV
ajst-23609	43	24	countless	countless	ADJ
ajst-23609	43	25	scholars	scholar	NOUN
ajst-23609	43	26	have	have	AUX
ajst-23609	43	27	begun	begin	VERB
ajst-23609	43	28	to	to	PART
ajst-23609	43	29	investigate	investigate	VERB
ajst-23609	43	30	finger	finger	NOUN
ajst-23609	43	31	vein	vein	NOUN
ajst-23609	43	32	recognition	recognition	NOUN
ajst-23609	43	33	.	.	PUNCT
ajst-23609	44	1	nowadays	nowadays	ADV
ajst-23609	44	2	,	,	PUNCT
ajst-23609	44	3	a	a	DET
ajst-23609	44	4	large	large	ADJ
ajst-23609	44	5	number	number	NOUN
ajst-23609	44	6	of	of	ADP
ajst-23609	44	7	feature	feature	NOUN
ajst-23609	44	8	extraction	extraction	NOUN
ajst-23609	44	9	methods	method	NOUN
ajst-23609	44	10	have	have	AUX
ajst-23609	44	11	been	be	AUX
ajst-23609	44	12	proposed	propose	VERB
ajst-23609	44	13	,	,	PUNCT
ajst-23609	44	14	including	include	VERB
ajst-23609	44	15	the	the	DET
ajst-23609	44	16	use	use	NOUN
ajst-23609	44	17	of	of	ADP
ajst-23609	44	18	images	image	NOUN
ajst-23609	44	19	,	,	PUNCT
ajst-23609	44	20	repetitive	repetitive	ADJ
ajst-23609	44	21	linear	linear	ADJ
ajst-23609	44	22	tracking	tracking	NOUN
ajst-23609	44	23	,	,	PUNCT
ajst-23609	44	24	curvature	curvature	NOUN
ajst-23609	44	25	,	,	PUNCT
ajst-23609	44	26	local	local	ADJ
ajst-23609	44	27	binary	binary	ADJ
ajst-23609	44	28	patterns	pattern	NOUN
ajst-23609	44	29	,	,	PUNCT
ajst-23609	44	30	dimensionality	dimensionality	NOUN
ajst-23609	44	31	reduction	reduction	NOUN
ajst-23609	44	32	,	,	PUNCT
ajst-23609	44	33	and	and	CCONJ
ajst-23609	44	34	machine	machine	NOUN
ajst-23609	44	35	learning	learning	NOUN
ajst-23609	44	36	.	.	PUNCT
ajst-23609	45	1	this	this	DET
ajst-23609	45	2	review	review	NOUN
ajst-23609	45	3	aims	aim	VERB
ajst-23609	45	4	to	to	PART
ajst-23609	45	5	contribute	contribute	VERB
ajst-23609	45	6	in	in	ADP
ajst-23609	45	7	the	the	DET
ajst-23609	45	8	following	follow	VERB
ajst-23609	45	9	three	three	NUM
ajst-23609	45	10	directions	direction	NOUN
ajst-23609	45	11	:	:	PUNCT
ajst-23609	45	12	(	(	PUNCT
ajst-23609	45	13	1	1	X
ajst-23609	45	14	)	)	PUNCT
ajst-23609	45	15	to	to	PART
ajst-23609	45	16	systematically	systematically	ADV
ajst-23609	45	17	review	review	VERB
ajst-23609	45	18	the	the	DET
ajst-23609	45	19	feature	feature	NOUN
ajst-23609	45	20	extraction	extraction	NOUN
ajst-23609	45	21	methods	method	NOUN
ajst-23609	45	22	proposed	propose	VERB
ajst-23609	45	23	in	in	ADP
ajst-23609	45	24	recent	recent	ADJ
ajst-23609	45	25	years	year	NOUN
ajst-23609	45	26	;	;	PUNCT
ajst-23609	45	27	(	(	PUNCT
ajst-23609	45	28	2	2	X
ajst-23609	45	29	)	)	PUNCT
ajst-23609	45	30	to	to	PART
ajst-23609	45	31	compare	compare	VERB
ajst-23609	45	32	and	and	CCONJ
ajst-23609	45	33	analyze	analyze	VERB
ajst-23609	45	34	the	the	DET
ajst-23609	45	35	latest	late	ADJ
ajst-23609	45	36	and	and	CCONJ
ajst-23609	45	37	state	state	NOUN
ajst-23609	45	38	-	-	PUNCT
ajst-23609	45	39	of	of	ADP
ajst-23609	45	40	-	-	PUNCT
ajst-23609	45	41	the	the	DET
ajst-23609	45	42	-	-	PUNCT
ajst-23609	45	43	art	art	NOUN
ajst-23609	45	44	research	research	NOUN
ajst-23609	45	45	results	result	NOUN
ajst-23609	45	46	,	,	PUNCT
ajst-23609	45	47	and	and	CCONJ
ajst-23609	45	48	to	to	PART
ajst-23609	45	49	point	point	VERB
ajst-23609	45	50	out	out	ADP
ajst-23609	45	51	their	their	PRON
ajst-23609	45	52	shortcomings	shortcoming	NOUN
ajst-23609	45	53	;	;	PUNCT
ajst-23609	45	54	and	and	CCONJ
ajst-23609	45	55	(	(	PUNCT
ajst-23609	45	56	3	3	X
ajst-23609	45	57	)	)	PUNCT
ajst-23609	45	58	to	to	PART
ajst-23609	45	59	summarize	summarize	VERB
ajst-23609	45	60	and	and	CCONJ
ajst-23609	45	61	look	look	VERB
ajst-23609	45	62	forward	forward	ADV
ajst-23609	45	63	to	to	ADP
ajst-23609	45	64	the	the	DET
ajst-23609	45	65	research	research	NOUN
ajst-23609	45	66	prospects	prospect	NOUN
ajst-23609	45	67	of	of	ADP
ajst-23609	45	68	feature	feature	NOUN
ajst-23609	45	69	extraction	extraction	NOUN
ajst-23609	45	70	methods	method	NOUN
ajst-23609	45	71	for	for	ADP
ajst-23609	45	72	finger	finger	NOUN
ajst-23609	45	73	vein	vein	NOUN
ajst-23609	45	74	recognition	recognition	NOUN
ajst-23609	45	75	.	.	PUNCT
ajst-23609	46	1	the	the	DET
ajst-23609	46	2	rest	rest	NOUN
ajst-23609	46	3	of	of	ADP
ajst-23609	46	4	this	this	DET
ajst-23609	46	5	paper	paper	NOUN
ajst-23609	46	6	is	be	AUX
ajst-23609	46	7	organized	organize	VERB
ajst-23609	46	8	as	as	SCONJ
ajst-23609	46	9	follows	follow	VERB
ajst-23609	46	10	:	:	PUNCT
ajst-23609	46	11	section	section	NOUN
ajst-23609	46	12	2	2	NUM
ajst-23609	46	13	will	will	AUX
ajst-23609	46	14	provide	provide	VERB
ajst-23609	46	15	an	an	DET
ajst-23609	46	16	overview	overview	NOUN
ajst-23609	46	17	of	of	ADP
ajst-23609	46	18	the	the	DET
ajst-23609	46	19	technologies	technology	NOUN
ajst-23609	46	20	related	relate	VERB
ajst-23609	46	21	to	to	PART
ajst-23609	46	22	finger	finger	VERB
ajst-23609	46	23	vein	vein	ADJ
ajst-23609	46	24	recognition	recognition	NOUN
ajst-23609	46	25	systems	system	NOUN
ajst-23609	46	26	,	,	PUNCT
ajst-23609	46	27	especially	especially	ADV
ajst-23609	46	28	the	the	DET
ajst-23609	46	29	process	process	NOUN
ajst-23609	46	30	after	after	ADP
ajst-23609	46	31	the	the	DET
ajst-23609	46	32	introduction	introduction	NOUN
ajst-23609	46	33	of	of	ADP
ajst-23609	46	34	deep	deep	ADJ
ajst-23609	46	35	learning	learning	NOUN
ajst-23609	46	36	;	;	PUNCT
ajst-23609	46	37	section	section	NOUN
ajst-23609	46	38	3	3	NUM
ajst-23609	46	39	will	will	AUX
ajst-23609	46	40	sort	sort	VERB
ajst-23609	46	41	out	out	ADV
ajst-23609	46	42	and	and	CCONJ
ajst-23609	46	43	summarize	summarize	VERB
ajst-23609	46	44	the	the	DET
ajst-23609	46	45	public	public	ADJ
ajst-23609	46	46	datasets	dataset	NOUN
ajst-23609	46	47	used	use	VERB
ajst-23609	46	48	in	in	ADP
ajst-23609	46	49	finger	finger	NOUN
ajst-23609	46	50	vein	vein	NOUN
ajst-23609	46	51	research	research	NOUN
ajst-23609	46	52	;	;	PUNCT
ajst-23609	46	53	section	section	NOUN
ajst-23609	46	54	4	4	NUM
ajst-23609	46	55	will	will	AUX
ajst-23609	46	56	categorize	categorize	VERB
ajst-23609	46	57	the	the	DET
ajst-23609	46	58	feature	feature	NOUN
ajst-23609	46	59	extraction	extraction	NOUN
ajst-23609	46	60	methods	method	NOUN
ajst-23609	46	61	,	,	PUNCT
ajst-23609	46	62	bounded	bound	VERB
ajst-23609	46	63	by	by	ADP
ajst-23609	46	64	deep	deep	ADJ
ajst-23609	46	65	learning	learning	NOUN
ajst-23609	46	66	;	;	PUNCT
ajst-23609	46	67	section	section	NOUN
ajst-23609	46	68	5	5	NUM
ajst-23609	46	69	will	will	AUX
ajst-23609	46	70	sort	sort	VERB
ajst-23609	46	71	out	out	ADV
ajst-23609	46	72	and	and	CCONJ
ajst-23609	46	73	summarize	summarize	VERB
ajst-23609	46	74	the	the	DET
ajst-23609	46	75	evaluation	evaluation	NOUN
ajst-23609	46	76	metrics	metric	NOUN
ajst-23609	46	77	that	that	PRON
ajst-23609	46	78	are	be	AUX
ajst-23609	46	79	commonly	commonly	ADV
ajst-23609	46	80	used	use	VERB
ajst-23609	46	81	in	in	ADP
ajst-23609	46	82	the	the	DET
ajst-23609	46	83	field	field	NOUN
ajst-23609	46	84	of	of	ADP
ajst-23609	46	85	finger	finger	NOUN
ajst-23609	46	86	vein	vein	NOUN
ajst-23609	46	87	recognition	recognition	NOUN
ajst-23609	46	88	;	;	PUNCT
ajst-23609	46	89	section	section	NOUN
ajst-23609	46	90	6	6	NUM
ajst-23609	46	91	will	will	AUX
ajst-23609	46	92	summarize	summarize	VERB
ajst-23609	46	93	and	and	CCONJ
ajst-23609	46	94	analyze	analyze	VERB
ajst-23609	46	95	the	the	DET
ajst-23609	46	96	future	future	ADJ
ajst-23609	46	97	challenges	challenge	NOUN
ajst-23609	46	98	facing	face	VERB
ajst-23609	46	99	the	the	DET
ajst-23609	46	100	field	field	NOUN
ajst-23609	46	101	.	.	PUNCT
ajst-23609	47	1	2	2	X
ajst-23609	47	2	.	.	X
ajst-23609	47	3	finger	finger	NOUN
ajst-23609	47	4	vein	vein	VERB
ajst-23609	47	5	recognition	recognition	NOUN
ajst-23609	47	6	system	system	NOUN
ajst-23609	47	7	introduction	introduction	NOUN
ajst-23609	47	8	2.1	2.1	NUM
ajst-23609	47	9	.	.	PUNCT
ajst-23609	48	1	principles	principle	NOUN
ajst-23609	48	2	of	of	ADP
ajst-23609	48	3	finger	finger	NOUN
ajst-23609	48	4	vein	vein	VERB
ajst-23609	48	5	imaging	imaging	NOUN
ajst-23609	48	6	by	by	ADP
ajst-23609	48	7	analyzing	analyze	VERB
ajst-23609	48	8	the	the	DET
ajst-23609	48	9	anatomy	anatomy	NOUN
ajst-23609	48	10	and	and	CCONJ
ajst-23609	48	11	internal	internal	ADJ
ajst-23609	48	12	physiological	physiological	ADJ
ajst-23609	48	13	behavior	behavior	NOUN
ajst-23609	48	14	of	of	ADP
ajst-23609	48	15	finger	finger	NOUN
ajst-23609	48	16	veins	vein	NOUN
ajst-23609	48	17	,	,	PUNCT
ajst-23609	48	18	medical	medical	ADJ
ajst-23609	48	19	researchers	researcher	NOUN
ajst-23609	48	20	have	have	AUX
ajst-23609	48	21	found	find	VERB
ajst-23609	48	22	that	that	PRON
ajst-23609	48	23	hemoglobin	hemoglobin	NOUN
ajst-23609	48	24	within	within	ADP
ajst-23609	48	25	the	the	DET
ajst-23609	48	26	veins	vein	NOUN
ajst-23609	48	27	does	do	AUX
ajst-23609	48	28	not	not	PART
ajst-23609	48	29	carry	carry	VERB
ajst-23609	48	30	oxygen	oxygen	NOUN
ajst-23609	48	31	molecules	molecule	NOUN
ajst-23609	48	32	and	and	CCONJ
ajst-23609	48	33	therefore	therefore	ADV
ajst-23609	48	34	absorbs	absorb	VERB
ajst-23609	48	35	near	near	ADV
ajst-23609	48	36	-	-	PUNCT
ajst-23609	48	37	infrared	infrared	ADJ
ajst-23609	48	38	(	(	PUNCT
ajst-23609	48	39	nir	nir	NOUN
ajst-23609	48	40	)	)	PUNCT
ajst-23609	48	41	light	light	NOUN
ajst-23609	48	42	at	at	ADP
ajst-23609	48	43	wavelengths	wavelength	NOUN
ajst-23609	48	44	in	in	ADP
ajst-23609	48	45	the	the	DET
ajst-23609	48	46	range	range	NOUN
ajst-23609	48	47	of	of	ADP
ajst-23609	48	48	690	690	NUM
ajst-23609	48	49	to	to	PART
ajst-23609	48	50	980	980	NUM
ajst-23609	48	51	nm	nm	NOUN
ajst-23609	48	52	.	.	PUNCT
ajst-23609	49	1	in	in	ADP
ajst-23609	49	2	contrast	contrast	NOUN
ajst-23609	49	3	,	,	PUNCT
ajst-23609	49	4	arteries	artery	NOUN
ajst-23609	49	5	and	and	CCONJ
ajst-23609	49	6	other	other	ADJ
ajst-23609	49	7	tissues	tissue	NOUN
ajst-23609	49	8	of	of	ADP
ajst-23609	49	9	the	the	DET
ajst-23609	49	10	fingers	finger	NOUN
ajst-23609	49	11	can	can	AUX
ajst-23609	49	12	be	be	AUX
ajst-23609	49	13	easily	easily	ADV
ajst-23609	49	14	penetrated	penetrate	VERB
ajst-23609	49	15	by	by	ADP
ajst-23609	49	16	nir	nir	ADJ
ajst-23609	49	17	light	light	NOUN
ajst-23609	49	18	in	in	ADP
ajst-23609	49	19	this	this	DET
ajst-23609	49	20	wavelength	wavelength	NOUN
ajst-23609	49	21	range	range	NOUN
ajst-23609	49	22	.	.	PUNCT
ajst-23609	50	1	based	base	VERB
ajst-23609	50	2	on	on	ADP
ajst-23609	50	3	this	this	DET
ajst-23609	50	4	principle	principle	NOUN
ajst-23609	50	5	,	,	PUNCT
ajst-23609	50	6	as	as	SCONJ
ajst-23609	50	7	shown	show	VERB
ajst-23609	50	8	in	in	ADP
ajst-23609	50	9	figure	figure	NOUN
ajst-23609	50	10	1	1	NUM
ajst-23609	50	11	,	,	PUNCT
ajst-23609	50	12	a	a	DET
ajst-23609	50	13	light	light	ADJ
ajst-23609	50	14	source	source	NOUN
ajst-23609	50	15	emitting	emit	VERB
ajst-23609	50	16	nir	nir	ADJ
ajst-23609	50	17	light	light	NOUN
ajst-23609	50	18	can	can	AUX
ajst-23609	50	19	be	be	AUX
ajst-23609	50	20	utilized	utilize	VERB
ajst-23609	50	21	to	to	PART
ajst-23609	50	22	irradiate	irradiate	VERB
ajst-23609	50	23	a	a	DET
ajst-23609	50	24	finger	finger	NOUN
ajst-23609	50	25	,	,	PUNCT
ajst-23609	50	26	and	and	CCONJ
ajst-23609	50	27	the	the	DET
ajst-23609	50	28	nir	nir	ADJ
ajst-23609	50	29	light	light	NOUN
ajst-23609	50	30	passing	pass	VERB
ajst-23609	50	31	through	through	ADP
ajst-23609	50	32	the	the	DET
ajst-23609	50	33	finger	finger	NOUN
ajst-23609	50	34	can	can	AUX
ajst-23609	50	35	be	be	AUX
ajst-23609	50	36	captured	capture	VERB
ajst-23609	50	37	by	by	ADP
ajst-23609	50	38	a	a	DET
ajst-23609	50	39	nir	nir	ADJ
ajst-23609	50	40	light	light	ADJ
ajst-23609	50	41	camera	camera	NOUN
ajst-23609	50	42	,	,	PUNCT
ajst-23609	50	43	thereby	thereby	ADV
ajst-23609	50	44	capturing	capture	VERB
ajst-23609	50	45	the	the	DET
ajst-23609	50	46	vein	vein	ADJ
ajst-23609	50	47	structure	structure	NOUN
ajst-23609	50	48	within	within	ADP
ajst-23609	50	49	the	the	DET
ajst-23609	50	50	finger	finger	NOUN
ajst-23609	50	51	.	.	PUNCT
ajst-23609	51	1	imaging	imaging	NOUN
ajst-23609	51	2	modalities	modality	NOUN
ajst-23609	51	3	for	for	ADP
ajst-23609	51	4	finger	finger	NOUN
ajst-23609	51	5	vein	vein	NOUN
ajst-23609	51	6	recognition	recognition	NOUN
ajst-23609	51	7	[	[	X
ajst-23609	51	8	14	14	NUM
ajst-23609	51	9	]	]	PUNCT
ajst-23609	51	10	mainly	mainly	ADV
ajst-23609	51	11	include	include	VERB
ajst-23609	51	12	transmission	transmission	NOUN
ajst-23609	51	13	imaging	imaging	NOUN
ajst-23609	51	14	,	,	PUNCT
ajst-23609	51	15	reflection	reflection	NOUN
ajst-23609	51	16	imaging	imaging	NOUN
ajst-23609	51	17	,	,	PUNCT
ajst-23609	51	18	double	double	ADJ
ajst-23609	51	19	side	side	NOUN
ajst-23609	51	20	scattering	scattering	ADJ
ajst-23609	51	21	imaging	imaging	NOUN
ajst-23609	51	22	and	and	CCONJ
ajst-23609	51	23	single	single	ADJ
ajst-23609	51	24	side	side	NOUN
ajst-23609	51	25	scattering	scattering	ADJ
ajst-23609	51	26	imaging	imaging	NOUN
ajst-23609	51	27	.	.	PUNCT
ajst-23609	52	1	figure	figure	NOUN
ajst-23609	52	2	1	1	NUM
ajst-23609	52	3	.	.	PUNCT
ajst-23609	53	1	imaging	imaging	NOUN
ajst-23609	53	2	principles	principle	NOUN
ajst-23609	53	3	(	(	PUNCT
ajst-23609	53	4	transmission	transmission	NOUN
ajst-23609	53	5	imaging	imaging	NOUN
ajst-23609	53	6	)	)	PUNCT
ajst-23609	53	7	2.2	2.2	NUM
ajst-23609	53	8	.	.	PUNCT
ajst-23609	54	1	recognition	recognition	NOUN
ajst-23609	54	2	process	process	NOUN
ajst-23609	54	3	the	the	DET
ajst-23609	54	4	main	main	ADJ
ajst-23609	54	5	process	process	NOUN
ajst-23609	54	6	of	of	ADP
ajst-23609	54	7	finger	finger	NOUN
ajst-23609	54	8	vein	vein	NOUN
ajst-23609	54	9	recognition	recognition	NOUN
ajst-23609	54	10	includes	include	VERB
ajst-23609	54	11	finger	finger	NOUN
ajst-23609	54	12	vein	vein	VERB
ajst-23609	54	13	image	image	NOUN
ajst-23609	54	14	acquisition	acquisition	NOUN
ajst-23609	54	15	,	,	PUNCT
ajst-23609	54	16	image	image	NOUN
ajst-23609	54	17	preprocessing	preprocessing	NOUN
ajst-23609	54	18	,	,	PUNCT
ajst-23609	54	19	finger	finger	NOUN
ajst-23609	54	20	vein	vein	VERB
ajst-23609	54	21	feature	feature	NOUN
ajst-23609	54	22	extraction	extraction	NOUN
ajst-23609	54	23	and	and	CCONJ
ajst-23609	54	24	feature	feature	NOUN
ajst-23609	54	25	matching	matching	NOUN
ajst-23609	54	26	.	.	PUNCT
ajst-23609	55	1	figure	figure	NOUN
ajst-23609	55	2	2	2	NUM
ajst-23609	55	3	shows	show	VERB
ajst-23609	55	4	the	the	DET
ajst-23609	55	5	overall	overall	ADJ
ajst-23609	55	6	process	process	NOUN
ajst-23609	55	7	of	of	ADP
ajst-23609	55	8	finger	finger	NOUN
ajst-23609	55	9	vein	vein	NOUN
ajst-23609	55	10	recognition	recognition	NOUN
ajst-23609	55	11	.	.	PUNCT
ajst-23609	56	1	dataset	dataset	ADJ
ajst-23609	56	2	image	image	NOUN
ajst-23609	56	3	input	input	NOUN
ajst-23609	56	4	edge	edge	NOUN
ajst-23609	56	5	detection	detection	NOUN
ajst-23609	56	6	roi	roi	NOUN
ajst-23609	56	7	feature	feature	NOUN
ajst-23609	56	8	enhancement	enhancement	NOUN
ajst-23609	56	9	noise	noise	NOUN
ajst-23609	56	10	treatmentnormalization	treatmentnormalization	NOUN
ajst-23609	56	11	…	…	PUNCT
ajst-23609	56	12	…	…	PUNCT
ajst-23609	56	13	training	training	NOUN
ajst-23609	56	14	set	set	NOUN
ajst-23609	56	15	test	test	NOUN
ajst-23609	56	16	set	set	VERB
ajst-23609	56	17	neural	neural	ADJ
ajst-23609	56	18	network	network	NOUN
ajst-23609	56	19	model	model	NOUN
ajst-23609	56	20	train	train	NOUN
ajst-23609	56	21	test	test	NOUN
ajst-23609	56	22	classify	classify	VERB
ajst-23609	56	23	awaiting	await	VERB
ajst-23609	56	24	match	match	NOUN
ajst-23609	56	25	registered	register	VERB
ajst-23609	56	26	matched	match	VERB
ajst-23609	56	27	figure	figure	NOUN
ajst-23609	56	28	2	2	NUM
ajst-23609	56	29	.	.	PUNCT
ajst-23609	57	1	finger	finger	NOUN
ajst-23609	57	2	vein	vein	VERB
ajst-23609	57	3	recognition	recognition	PROPN
ajst-23609	57	4	flowchart	flowchart	NOUN
ajst-23609	57	5	132	132	NUM
ajst-23609	57	6	there	there	PRON
ajst-23609	57	7	are	be	VERB
ajst-23609	57	8	two	two	NUM
ajst-23609	57	9	main	main	ADJ
ajst-23609	57	10	routes	route	NOUN
ajst-23609	57	11	for	for	ADP
ajst-23609	57	12	image	image	NOUN
ajst-23609	57	13	acquisition	acquisition	NOUN
ajst-23609	57	14	:	:	PUNCT
ajst-23609	57	15	selfconstructed	selfconstructe	VERB
ajst-23609	57	16	datasets	dataset	NOUN
ajst-23609	57	17	using	use	VERB
ajst-23609	57	18	finger	finger	NOUN
ajst-23609	57	19	vein	vein	VERB
ajst-23609	57	20	image	image	NOUN
ajst-23609	57	21	acquisition	acquisition	NOUN
ajst-23609	57	22	devices	device	NOUN
ajst-23609	57	23	and	and	CCONJ
ajst-23609	57	24	access	access	NOUN
ajst-23609	57	25	to	to	ADP
ajst-23609	57	26	publicly	publicly	ADV
ajst-23609	57	27	available	available	ADJ
ajst-23609	57	28	datasets	dataset	NOUN
ajst-23609	57	29	.	.	PUNCT
ajst-23609	58	1	the	the	DET
ajst-23609	58	2	preprocessing	preprocessing	NOUN
ajst-23609	58	3	stage	stage	NOUN
ajst-23609	58	4	requires	require	VERB
ajst-23609	58	5	operations	operation	NOUN
ajst-23609	58	6	such	such	ADJ
ajst-23609	58	7	as	as	ADP
ajst-23609	58	8	region	region	NOUN
ajst-23609	58	9	of	of	ADP
ajst-23609	58	10	interest	interest	NOUN
ajst-23609	58	11	(	(	PUNCT
ajst-23609	58	12	roi	roi	NOUN
ajst-23609	58	13	)	)	PUNCT
ajst-23609	58	14	extraction	extraction	NOUN
ajst-23609	58	15	,	,	PUNCT
ajst-23609	58	16	normalization	normalization	NOUN
ajst-23609	58	17	,	,	PUNCT
ajst-23609	58	18	and	and	CCONJ
ajst-23609	58	19	feature	feature	NOUN
ajst-23609	58	20	enhancement	enhancement	NOUN
ajst-23609	58	21	to	to	PART
ajst-23609	58	22	highlight	highlight	VERB
ajst-23609	58	23	the	the	DET
ajst-23609	58	24	features	feature	NOUN
ajst-23609	58	25	.	.	PUNCT
ajst-23609	59	1	the	the	DET
ajst-23609	59	2	task	task	NOUN
ajst-23609	59	3	of	of	ADP
ajst-23609	59	4	feature	feature	NOUN
ajst-23609	59	5	extraction	extraction	NOUN
ajst-23609	59	6	is	be	AUX
ajst-23609	59	7	to	to	PART
ajst-23609	59	8	segment	segment	VERB
ajst-23609	59	9	the	the	DET
ajst-23609	59	10	vein	vein	ADJ
ajst-23609	59	11	features	feature	NOUN
ajst-23609	59	12	from	from	ADP
ajst-23609	59	13	the	the	DET
ajst-23609	59	14	background	background	NOUN
ajst-23609	59	15	region	region	NOUN
ajst-23609	59	16	and	and	CCONJ
ajst-23609	59	17	extract	extract	NOUN
ajst-23609	59	18	features	feature	NOUN
ajst-23609	59	19	such	such	ADJ
ajst-23609	59	20	as	as	ADP
ajst-23609	59	21	vein	vein	ADJ
ajst-23609	59	22	texture	texture	NOUN
ajst-23609	59	23	or	or	CCONJ
ajst-23609	59	24	texture	texture	NOUN
ajst-23609	59	25	.	.	PUNCT
ajst-23609	60	1	subsequently	subsequently	ADV
ajst-23609	60	2	,	,	PUNCT
ajst-23609	60	3	the	the	DET
ajst-23609	60	4	extracted	extract	VERB
ajst-23609	60	5	feature	feature	NOUN
ajst-23609	60	6	images	image	NOUN
ajst-23609	60	7	are	be	AUX
ajst-23609	60	8	registered	register	VERB
ajst-23609	60	9	to	to	ADP
ajst-23609	60	10	the	the	DET
ajst-23609	60	11	feature	feature	NOUN
ajst-23609	60	12	template	template	NOUN
ajst-23609	60	13	library	library	NOUN
ajst-23609	60	14	.	.	PUNCT
ajst-23609	61	1	in	in	ADP
ajst-23609	61	2	the	the	DET
ajst-23609	61	3	feature	feature	NOUN
ajst-23609	61	4	matching	matching	NOUN
ajst-23609	61	5	stage	stage	NOUN
ajst-23609	61	6	,	,	PUNCT
ajst-23609	61	7	matching	match	VERB
ajst-23609	61	8	algorithms	algorithm	NOUN
ajst-23609	61	9	such	such	ADJ
ajst-23609	61	10	as	as	ADP
ajst-23609	61	11	similarity	similarity	NOUN
ajst-23609	61	12	metrics	metric	NOUN
ajst-23609	61	13	are	be	AUX
ajst-23609	61	14	combined	combine	VERB
ajst-23609	61	15	to	to	PART
ajst-23609	61	16	classify	classify	VERB
ajst-23609	61	17	and	and	CCONJ
ajst-23609	61	18	recognize	recognize	VERB
ajst-23609	61	19	the	the	DET
ajst-23609	61	20	input	input	NOUN
ajst-23609	61	21	images	image	NOUN
ajst-23609	61	22	.	.	PUNCT
ajst-23609	62	1	3	3	X
ajst-23609	62	2	.	.	X
ajst-23609	62	3	dataset	dataset	VERB
ajst-23609	62	4	as	as	ADP
ajst-23609	62	5	an	an	DET
ajst-23609	62	6	important	important	ADJ
ajst-23609	62	7	support	support	NOUN
ajst-23609	62	8	in	in	ADP
ajst-23609	62	9	the	the	DET
ajst-23609	62	10	field	field	NOUN
ajst-23609	62	11	of	of	ADP
ajst-23609	62	12	deep	deep	ADJ
ajst-23609	62	13	learning	learning	NOUN
ajst-23609	62	14	,	,	PUNCT
ajst-23609	62	15	datasets	dataset	NOUN
ajst-23609	62	16	have	have	VERB
ajst-23609	62	17	a	a	DET
ajst-23609	62	18	crucial	crucial	ADJ
ajst-23609	62	19	role	role	NOUN
ajst-23609	62	20	in	in	ADP
ajst-23609	62	21	the	the	DET
ajst-23609	62	22	development	development	NOUN
ajst-23609	62	23	of	of	ADP
ajst-23609	62	24	deep	deep	ADJ
ajst-23609	62	25	learning	learning	NOUN
ajst-23609	62	26	,	,	PUNCT
ajst-23609	62	27	and	and	CCONJ
ajst-23609	62	28	neural	neural	ADJ
ajst-23609	62	29	networks	network	NOUN
ajst-23609	62	30	can	can	AUX
ajst-23609	62	31	greatly	greatly	ADV
ajst-23609	62	32	improve	improve	VERB
ajst-23609	62	33	the	the	DET
ajst-23609	62	34	generalization	generalization	NOUN
ajst-23609	62	35	ability	ability	NOUN
ajst-23609	62	36	of	of	ADP
ajst-23609	62	37	the	the	DET
ajst-23609	62	38	model	model	NOUN
ajst-23609	62	39	after	after	ADP
ajst-23609	62	40	learning	learn	VERB
ajst-23609	62	41	from	from	ADP
ajst-23609	62	42	a	a	DET
ajst-23609	62	43	large	large	ADJ
ajst-23609	62	44	number	number	NOUN
ajst-23609	62	45	of	of	ADP
ajst-23609	62	46	datasets	dataset	NOUN
ajst-23609	62	47	.	.	PUNCT
ajst-23609	63	1	there	there	PRON
ajst-23609	63	2	are	be	VERB
ajst-23609	63	3	five	five	NUM
ajst-23609	63	4	most	most	ADV
ajst-23609	63	5	common	common	ADJ
ajst-23609	63	6	datasets	dataset	NOUN
ajst-23609	63	7	in	in	ADP
ajst-23609	63	8	finger	finger	NOUN
ajst-23609	63	9	vein	vein	NOUN
ajst-23609	63	10	recognition	recognition	NOUN
ajst-23609	63	11	,	,	PUNCT
ajst-23609	63	12	which	which	PRON
ajst-23609	63	13	are	be	AUX
ajst-23609	63	14	the	the	DET
ajst-23609	63	15	universiti	universiti	PROPN
ajst-23609	63	16	teknologi	teknologi	PROPN
ajst-23609	63	17	malaysia	malaysia	PROPN
ajst-23609	63	18	finger	finger	PROPN
ajst-23609	63	19	dataset	dataset	VERB
ajst-23609	63	20	fv	fv	X
ajst-23609	63	21	-	-	NOUN
ajst-23609	63	22	usm	usm	NOUN
ajst-23609	63	23	[	[	X
ajst-23609	63	24	15	15	NUM
ajst-23609	63	25	]	]	X
ajst-23609	63	26	,	,	PUNCT
ajst-23609	63	27	shandong	shandong	PROPN
ajst-23609	63	28	university	university	PROPN
ajst-23609	63	29	machine	machine	NOUN
ajst-23609	63	30	learning	learning	NOUN
ajst-23609	63	31	and	and	CCONJ
ajst-23609	63	32	data	datum	NOUN
ajst-23609	63	33	mining	mining	NOUN
ajst-23609	63	34	experimental	experimental	ADJ
ajst-23609	63	35	finger	finger	NOUN
ajst-23609	63	36	vein	vein	VERB
ajst-23609	63	37	dataset	dataset	NOUN
ajst-23609	63	38	sdmula	sdmula	NOUN
ajst-23609	63	39	[	[	X
ajst-23609	63	40	16	16	NUM
ajst-23609	63	41	]	]	X
ajst-23609	63	42	,	,	PUNCT
ajst-23609	63	43	hong	hong	PROPN
ajst-23609	63	44	kong	kong	PROPN
ajst-23609	63	45	polytechnic	polytechnic	PROPN
ajst-23609	63	46	university	university	NOUN
ajst-23609	63	47	finger	finger	NOUN
ajst-23609	63	48	vein	vein	VERB
ajst-23609	63	49	dataset	dataset	ADJ
ajst-23609	63	50	hkpu	hkpu	NOUN
ajst-23609	64	1	[	[	X
ajst-23609	64	2	17	17	NUM
ajst-23609	64	3	]	]	PUNCT
ajst-23609	64	4	,	,	PUNCT
ajst-23609	64	5	jeonbuk	jeonbuk	PROPN
ajst-23609	64	6	national	national	PROPN
ajst-23609	64	7	university	university	PROPN
ajst-23609	64	8	finger	finger	NOUN
ajst-23609	64	9	vein	vein	VERB
ajst-23609	64	10	dataset	dataset	ADJ
ajst-23609	64	11	mmcbnu-6000	mmcbnu-6000	ADJ
ajst-23609	64	12	[	[	X
ajst-23609	64	13	18	18	NUM
ajst-23609	64	14	]	]	PUNCT
ajst-23609	64	15	,	,	PUNCT
ajst-23609	64	16	switzerland	switzerland	PROPN
ajst-23609	64	17	finger	finger	PROPN
ajst-23609	64	18	vein	vein	VERB
ajst-23609	64	19	dataset	dataset	VERB
ajst-23609	64	20	vera	vera	NOUN
ajst-23609	65	1	[	[	X
ajst-23609	65	2	19	19	NUM
ajst-23609	65	3	]	]	PUNCT
ajst-23609	65	4	at	at	ADP
ajst-23609	65	5	the	the	DET
ajst-23609	65	6	dal	dal	PROPN
ajst-23609	65	7	-	-	PUNCT
ajst-23609	65	8	moore	moore	PROPN
ajst-23609	65	9	institute	institute	PROPN
ajst-23609	65	10	for	for	ADP
ajst-23609	65	11	perception	perception	NOUN
ajst-23609	65	12	artificial	artificial	ADJ
ajst-23609	65	13	intelligence	intelligence	NOUN
ajst-23609	65	14	sensing	sensing	NOUN
ajst-23609	65	15	,	,	PUNCT
ajst-23609	65	16	switzerland	switzerland	PROPN
ajst-23609	65	17	.	.	PUNCT
ajst-23609	66	1	there	there	PRON
ajst-23609	66	2	are	be	VERB
ajst-23609	66	3	also	also	ADV
ajst-23609	66	4	the	the	DET
ajst-23609	66	5	university	university	PROPN
ajst-23609	66	6	of	of	ADP
ajst-23609	66	7	twente	twente	PROPN
ajst-23609	66	8	finger	finger	PROPN
ajst-23609	66	9	vein	vein	VERB
ajst-23609	66	10	dataset	dataset	ADJ
ajst-23609	66	11	utfvp	utfvp	NOUN
ajst-23609	67	1	[	[	X
ajst-23609	67	2	20	20	NUM
ajst-23609	67	3	]	]	PUNCT
ajst-23609	67	4	in	in	ADP
ajst-23609	67	5	the	the	DET
ajst-23609	67	6	netherlands	netherlands	PROPN
ajst-23609	67	7	.	.	PUNCT
ajst-23609	68	1	details	detail	NOUN
ajst-23609	68	2	of	of	ADP
ajst-23609	68	3	the	the	DET
ajst-23609	68	4	publicly	publicly	ADV
ajst-23609	68	5	available	available	ADJ
ajst-23609	68	6	finger	finger	NOUN
ajst-23609	68	7	vein	vein	VERB
ajst-23609	68	8	image	image	NOUN
ajst-23609	68	9	database	database	NOUN
ajst-23609	68	10	are	be	AUX
ajst-23609	68	11	shown	show	VERB
ajst-23609	68	12	in	in	ADP
ajst-23609	68	13	table	table	NOUN
ajst-23609	68	14	1	1	NUM
ajst-23609	68	15	.	.	PUNCT
ajst-23609	68	16	table	table	NOUN
ajst-23609	68	17	1	1	NUM
ajst-23609	68	18	.	.	PUNCT
ajst-23609	69	1	details	detail	NOUN
ajst-23609	69	2	of	of	ADP
ajst-23609	69	3	publicly	publicly	ADV
ajst-23609	69	4	-	-	PUNCT
ajst-23609	69	5	available	available	ADJ
ajst-23609	69	6	finger	finger	NOUN
ajst-23609	69	7	-	-	PUNCT
ajst-23609	69	8	vein	vein	ADJ
ajst-23609	69	9	image	image	NOUN
ajst-23609	69	10	databases	database	NOUN
ajst-23609	69	11	database	database	NOUN
ajst-23609	69	12	number	number	NOUN
ajst-23609	69	13	of	of	ADP
ajst-23609	69	14	fingers	finger	NOUN
ajst-23609	69	15	details	detail	NOUN
ajst-23609	69	16	of	of	ADP
ajst-23609	69	17	fingers	finger	NOUN
ajst-23609	69	18	imagers	imager	NOUN
ajst-23609	69	19	per	per	ADP
ajst-23609	69	20	finger	finger	NOUN
ajst-23609	69	21	sessions	session	NOUN
ajst-23609	69	22	image	image	NOUN
ajst-23609	69	23	size	size	NOUN
ajst-23609	69	24	total	total	NOUN
ajst-23609	69	25	images	image	NOUN
ajst-23609	69	26	fv	fv	ADP
ajst-23609	69	27	-	-	NOUN
ajst-23609	69	28	usm	usm	ADJ
ajst-23609	69	29	492	492	NUM
ajst-23609	69	30	left	leave	VERB
ajst-23609	69	31	&	&	CCONJ
ajst-23609	69	32	right	right	ADJ
ajst-23609	69	33	hand	hand	NOUN
ajst-23609	69	34	index	index	NOUN
ajst-23609	69	35	&	&	CCONJ
ajst-23609	69	36	middle	middle	ADJ
ajst-23609	69	37	finger	finger	NOUN
ajst-23609	69	38	12	12	NUM
ajst-23609	69	39	2	2	NUM
ajst-23609	69	40	640×480	640×480	NUM
ajst-23609	69	41	5904	5904	NUM
ajst-23609	69	42	sdumla	sdumla	NOUN
ajst-23609	69	43	636	636	NUM
ajst-23609	69	44	left	leave	VERB
ajst-23609	69	45	&	&	CCONJ
ajst-23609	69	46	right	right	ADJ
ajst-23609	69	47	hand	hand	NOUN
ajst-23609	69	48	index	index	NOUN
ajst-23609	69	49	,	,	PUNCT
ajst-23609	69	50	middle	middle	PROPN
ajst-23609	69	51	&	&	CCONJ
ajst-23609	69	52	ring	ring	PROPN
ajst-23609	69	53	finger	finger	NOUN
ajst-23609	69	54	6	6	NUM
ajst-23609	69	55	1	1	NUM
ajst-23609	69	56	320×320	320×320	NUM
ajst-23609	69	57	3816	3816	NUM
ajst-23609	69	58	hkpu	hkpu	NOUN
ajst-23609	69	59	312	312	NUM
ajst-23609	69	60	left	left	ADJ
ajst-23609	69	61	hand	hand	NOUN
ajst-23609	69	62	index	index	NOUN
ajst-23609	69	63	&	&	CCONJ
ajst-23609	69	64	middle	middle	ADJ
ajst-23609	69	65	finger	finger	NOUN
ajst-23609	69	66	12	12	NUM
ajst-23609	69	67	2	2	NUM
ajst-23609	69	68	513×256	513×256	NUM
ajst-23609	69	69	3132	3132	NUM
ajst-23609	69	70	mmcbnu_6000	mmcbnu_6000	NOUN
ajst-23609	69	71	600	600	NUM
ajst-23609	69	72	left	leave	VERB
ajst-23609	69	73	&	&	CCONJ
ajst-23609	69	74	right	right	ADJ
ajst-23609	69	75	hand	hand	NOUN
ajst-23609	69	76	index	index	NOUN
ajst-23609	69	77	,	,	PUNCT
ajst-23609	69	78	middle	middle	PROPN
ajst-23609	69	79	&	&	CCONJ
ajst-23609	69	80	ring	ring	PROPN
ajst-23609	69	81	finger	finger	NOUN
ajst-23609	69	82	10	10	NUM
ajst-23609	69	83	1	1	NUM
ajst-23609	69	84	640×480	640×480	NUM
ajst-23609	69	85	6000	6000	NUM
ajst-23609	69	86	vera	vera	NOUN
ajst-23609	69	87	220	220	NUM
ajst-23609	69	88	left	leave	VERB
ajst-23609	69	89	&	&	CCONJ
ajst-23609	69	90	right	right	ADJ
ajst-23609	69	91	hand	hand	NOUN
ajst-23609	69	92	index	index	NOUN
ajst-23609	69	93	,	,	PUNCT
ajst-23609	69	94	middle	middle	PROPN
ajst-23609	69	95	&	&	CCONJ
ajst-23609	69	96	ring	ring	PROPN
ajst-23609	69	97	finger	finger	NOUN
ajst-23609	69	98	2	2	NUM
ajst-23609	69	99	1	1	NUM
ajst-23609	69	100	665×250	665×250	NUM
ajst-23609	69	101	440	440	NUM
ajst-23609	69	102	utfvp	utfvp	NOUN
ajst-23609	69	103	360	360	NUM
ajst-23609	69	104	left	leave	VERB
ajst-23609	69	105	&	&	CCONJ
ajst-23609	69	106	right	right	ADJ
ajst-23609	69	107	hand	hand	NOUN
ajst-23609	69	108	index	index	NOUN
ajst-23609	69	109	,	,	PUNCT
ajst-23609	69	110	middle	middle	PROPN
ajst-23609	69	111	&	&	CCONJ
ajst-23609	69	112	ring	ring	PROPN
ajst-23609	69	113	finger	finger	NOUN
ajst-23609	69	114	4	4	NUM
ajst-23609	69	115	2	2	NUM
ajst-23609	69	116	672×380	672×380	NUM
ajst-23609	69	117	1440	1440	NUM
ajst-23609	69	118	4	4	NUM
ajst-23609	69	119	.	.	PUNCT
ajst-23609	70	1	feature	feature	NOUN
ajst-23609	70	2	extraction	extraction	NOUN
ajst-23609	70	3	algorithm	algorithm	NOUN
ajst-23609	70	4	compared	compare	VERB
ajst-23609	70	5	with	with	ADP
ajst-23609	70	6	other	other	ADJ
ajst-23609	70	7	biometric	biometric	ADJ
ajst-23609	70	8	identification	identification	NOUN
ajst-23609	70	9	technologies	technology	NOUN
ajst-23609	70	10	,	,	PUNCT
ajst-23609	70	11	finger	finger	NOUN
ajst-23609	70	12	vein	vein	ADJ
ajst-23609	70	13	identification	identification	NOUN
ajst-23609	70	14	technology	technology	NOUN
ajst-23609	70	15	has	have	VERB
ajst-23609	70	16	the	the	DET
ajst-23609	70	17	advantages	advantage	NOUN
ajst-23609	70	18	of	of	ADP
ajst-23609	70	19	high	high	ADJ
ajst-23609	70	20	security	security	NOUN
ajst-23609	70	21	and	and	CCONJ
ajst-23609	70	22	high	high	ADJ
ajst-23609	70	23	privacy	privacy	NOUN
ajst-23609	70	24	,	,	PUNCT
ajst-23609	70	25	and	and	CCONJ
ajst-23609	70	26	has	have	AUX
ajst-23609	70	27	received	receive	VERB
ajst-23609	70	28	extensive	extensive	ADJ
ajst-23609	70	29	attention	attention	NOUN
ajst-23609	70	30	and	and	CCONJ
ajst-23609	70	31	research	research	NOUN
ajst-23609	70	32	at	at	ADP
ajst-23609	70	33	home	home	NOUN
ajst-23609	70	34	and	and	CCONJ
ajst-23609	70	35	abroad	abroad	ADV
ajst-23609	70	36	.	.	PUNCT
ajst-23609	71	1	at	at	ADP
ajst-23609	71	2	present	present	ADJ
ajst-23609	71	3	,	,	PUNCT
ajst-23609	71	4	finger	finger	NOUN
ajst-23609	71	5	vein	vein	VERB
ajst-23609	71	6	feature	feature	NOUN
ajst-23609	71	7	extraction	extraction	NOUN
ajst-23609	71	8	is	be	AUX
ajst-23609	71	9	mainly	mainly	ADV
ajst-23609	71	10	categorized	categorize	VERB
ajst-23609	71	11	into	into	ADP
ajst-23609	71	12	non	non	ADJ
ajst-23609	71	13	-	-	ADJ
ajst-23609	71	14	deep	deep	ADJ
ajst-23609	71	15	neural	neural	ADJ
ajst-23609	71	16	network	network	NOUN
ajst-23609	71	17	methods	method	NOUN
ajst-23609	71	18	and	and	CCONJ
ajst-23609	71	19	deep	deep	ADJ
ajst-23609	71	20	neural	neural	ADJ
ajst-23609	71	21	network	network	NOUN
ajst-23609	71	22	methods	method	NOUN
ajst-23609	71	23	,	,	PUNCT
ajst-23609	71	24	which	which	PRON
ajst-23609	71	25	are	be	AUX
ajst-23609	71	26	described	describe	VERB
ajst-23609	71	27	in	in	ADP
ajst-23609	71	28	detail	detail	NOUN
ajst-23609	71	29	below	below	ADV
ajst-23609	71	30	.	.	PUNCT
ajst-23609	72	1	4.1	4.1	NUM
ajst-23609	72	2	.	.	PUNCT
ajst-23609	73	1	non	non	ADJ
ajst-23609	73	2	-	-	ADJ
ajst-23609	73	3	deep	deep	ADJ
ajst-23609	73	4	neural	neural	ADJ
ajst-23609	73	5	network	network	NOUN
ajst-23609	73	6	approach	approach	VERB
ajst-23609	73	7	the	the	DET
ajst-23609	73	8	key	key	NOUN
ajst-23609	73	9	to	to	ADP
ajst-23609	73	10	traditional	traditional	ADJ
ajst-23609	73	11	finger	finger	NOUN
ajst-23609	73	12	vein	vein	NOUN
ajst-23609	73	13	recognition	recognition	NOUN
ajst-23609	73	14	lies	lie	VERB
ajst-23609	73	15	in	in	ADP
ajst-23609	73	16	the	the	DET
ajst-23609	73	17	extraction	extraction	NOUN
ajst-23609	73	18	of	of	ADP
ajst-23609	73	19	finger	finger	NOUN
ajst-23609	73	20	vein	vein	NOUN
ajst-23609	73	21	features	feature	NOUN
ajst-23609	73	22	.	.	PUNCT
ajst-23609	74	1	existing	exist	VERB
ajst-23609	74	2	finger	finger	NOUN
ajst-23609	74	3	vein	vein	VERB
ajst-23609	74	4	feature	feature	NOUN
ajst-23609	74	5	extraction	extraction	NOUN
ajst-23609	74	6	algorithms	algorithm	NOUN
ajst-23609	74	7	are	be	AUX
ajst-23609	74	8	mainly	mainly	ADV
ajst-23609	74	9	classified	classify	VERB
ajst-23609	74	10	into	into	ADP
ajst-23609	74	11	the	the	DET
ajst-23609	74	12	following	follow	VERB
ajst-23609	74	13	categories	category	NOUN
ajst-23609	74	14	:	:	PUNCT
ajst-23609	74	15	vein	vein	NOUN
ajst-23609	74	16	pattern	pattern	NOUN
ajst-23609	74	17	based	base	VERB
ajst-23609	74	18	approach	approach	NOUN
ajst-23609	74	19	,	,	PUNCT
ajst-23609	74	20	vein	vein	VERB
ajst-23609	74	21	texture	texture	NOUN
ajst-23609	74	22	-	-	PUNCT
ajst-23609	74	23	based	base	VERB
ajst-23609	74	24	feature	feature	NOUN
ajst-23609	74	25	extraction	extraction	NOUN
ajst-23609	74	26	approach	approach	NOUN
ajst-23609	74	27	,	,	PUNCT
ajst-23609	74	28	and	and	CCONJ
ajst-23609	74	29	detail	detail	NOUN
ajst-23609	74	30	point	point	NOUN
ajst-23609	74	31	-	-	PUNCT
ajst-23609	74	32	based	base	VERB
ajst-23609	74	33	feature	feature	NOUN
ajst-23609	74	34	extraction	extraction	NOUN
ajst-23609	74	35	methods	method	NOUN
ajst-23609	74	36	.	.	PUNCT
ajst-23609	75	1	(	(	PUNCT
ajst-23609	75	2	1	1	X
ajst-23609	75	3	)	)	PUNCT
ajst-23609	75	4	vein	vein	NOUN
ajst-23609	75	5	pattern	pattern	NOUN
ajst-23609	75	6	based	base	VERB
ajst-23609	75	7	approach	approach	NOUN
ajst-23609	75	8	the	the	DET
ajst-23609	75	9	vein	vein	ADJ
ajst-23609	75	10	texture	texture	NOUN
ajst-23609	75	11	-	-	PUNCT
ajst-23609	75	12	based	base	VERB
ajst-23609	75	13	approach	approach	NOUN
ajst-23609	75	14	involves	involve	VERB
ajst-23609	75	15	extracting	extract	VERB
ajst-23609	75	16	the	the	DET
ajst-23609	75	17	vein	vein	ADJ
ajst-23609	75	18	network	network	NOUN
ajst-23609	75	19	from	from	ADP
ajst-23609	75	20	the	the	DET
ajst-23609	75	21	vein	vein	ADJ
ajst-23609	75	22	grayscale	grayscale	NOUN
ajst-23609	75	23	image	image	NOUN
ajst-23609	75	24	and	and	CCONJ
ajst-23609	75	25	then	then	ADV
ajst-23609	75	26	matching	match	VERB
ajst-23609	75	27	it	it	PRON
ajst-23609	75	28	using	use	VERB
ajst-23609	75	29	the	the	DET
ajst-23609	75	30	texture	texture	NOUN
ajst-23609	75	31	,	,	PUNCT
ajst-23609	75	32	which	which	PRON
ajst-23609	75	33	can	can	AUX
ajst-23609	75	34	effectively	effectively	ADV
ajst-23609	75	35	represent	represent	VERB
ajst-23609	75	36	the	the	DET
ajst-23609	75	37	overall	overall	ADJ
ajst-23609	75	38	topology	topology	NOUN
ajst-23609	75	39	of	of	ADP
ajst-23609	75	40	the	the	DET
ajst-23609	75	41	veins	vein	NOUN
ajst-23609	75	42	.	.	PUNCT
ajst-23609	76	1	miura	miura	PROPN
ajst-23609	76	2	et	et	PROPN
ajst-23609	76	3	al	al	PROPN
ajst-23609	77	1	[	[	X
ajst-23609	77	2	21	21	NUM
ajst-23609	77	3	-	-	SYM
ajst-23609	77	4	23	23	NUM
ajst-23609	77	5	]	]	PUNCT
ajst-23609	77	6	first	first	ADV
ajst-23609	77	7	proposed	propose	VERB
ajst-23609	77	8	an	an	DET
ajst-23609	77	9	algorithm	algorithm	NOUN
ajst-23609	77	10	called	call	VERB
ajst-23609	77	11	repetitive	repetitive	ADJ
ajst-23609	77	12	linear	linear	ADJ
ajst-23609	77	13	tracking	tracking	NOUN
ajst-23609	77	14	(	(	PUNCT
ajst-23609	77	15	rtl	rtl	PROPN
ajst-23609	77	16	)	)	PUNCT
ajst-23609	77	17	,	,	PUNCT
ajst-23609	77	18	which	which	PRON
ajst-23609	77	19	utilizes	utilize	VERB
ajst-23609	77	20	the	the	DET
ajst-23609	77	21	valleys	valley	NOUN
ajst-23609	77	22	of	of	ADP
ajst-23609	77	23	the	the	DET
ajst-23609	77	24	finger	finger	NOUN
ajst-23609	77	25	veins	vein	VERB
ajst-23609	77	26	in	in	ADP
ajst-23609	77	27	the	the	DET
ajst-23609	77	28	pixel	pixel	PROPN
ajst-23609	77	29	grayscale	grayscale	NOUN
ajst-23609	77	30	values	value	NOUN
ajst-23609	77	31	and	and	CCONJ
ajst-23609	77	32	finds	find	VERB
ajst-23609	77	33	out	out	ADP
ajst-23609	77	34	the	the	DET
ajst-23609	77	35	vein	vein	ADJ
ajst-23609	77	36	texture	texture	NOUN
ajst-23609	77	37	by	by	ADP
ajst-23609	77	38	repetitive	repetitive	ADJ
ajst-23609	77	39	linear	linear	PROPN
ajst-23609	77	40	tracking	track	VERB
ajst-23609	77	41	yu	yu	INTJ
ajst-23609	77	42	et	et	PROPN
ajst-23609	77	43	al	al	PROPN
ajst-23609	78	1	[	[	X
ajst-23609	78	2	24	24	NUM
ajst-23609	78	3	]	]	PUNCT
ajst-23609	78	4	improved	improve	VERB
ajst-23609	78	5	the	the	DET
ajst-23609	78	6	rtl	rtl	NOUN
ajst-23609	78	7	algorithm	algorithm	NOUN
ajst-23609	78	8	to	to	PART
ajst-23609	78	9	obtain	obtain	VERB
ajst-23609	78	10	better	well	ADJ
ajst-23609	78	11	segmentation	segmentation	NOUN
ajst-23609	78	12	performance	performance	NOUN
ajst-23609	78	13	,	,	PUNCT
ajst-23609	78	14	but	but	CCONJ
ajst-23609	78	15	it	it	PRON
ajst-23609	78	16	still	still	ADV
ajst-23609	78	17	suffers	suffer	VERB
ajst-23609	78	18	from	from	ADP
ajst-23609	78	19	the	the	DET
ajst-23609	78	20	drawbacks	drawback	NOUN
ajst-23609	78	21	of	of	ADP
ajst-23609	78	22	low	low	ADJ
ajst-23609	78	23	robustness	robustness	NOUN
ajst-23609	78	24	and	and	CCONJ
ajst-23609	78	25	high	high	ADJ
ajst-23609	78	26	complexity	complexity	NOUN
ajst-23609	78	27	.	.	PUNCT
ajst-23609	79	1	a	a	DET
ajst-23609	79	2	modified	modified	ADJ
ajst-23609	79	3	repetitive	repetitive	ADJ
ajst-23609	79	4	linear	linear	ADJ
ajst-23609	79	5	tracking	tracking	NOUN
ajst-23609	79	6	method	method	NOUN
ajst-23609	79	7	is	be	AUX
ajst-23609	79	8	proposed	propose	VERB
ajst-23609	79	9	in	in	ADP
ajst-23609	79	10	the	the	DET
ajst-23609	79	11	literature	literature	NOUN
ajst-23609	79	12	[	[	X
ajst-23609	79	13	25	25	NUM
ajst-23609	79	14	]	]	PUNCT
ajst-23609	79	15	,	,	PUNCT
ajst-23609	79	16	which	which	PRON
ajst-23609	79	17	utilizes	utilize	VERB
ajst-23609	79	18	a	a	DET
ajst-23609	79	19	threshold	threshold	NOUN
ajst-23609	79	20	image	image	NOUN
ajst-23609	79	21	segmentation	segmentation	NOUN
ajst-23609	79	22	algorithm	algorithm	NOUN
ajst-23609	79	23	to	to	PART
ajst-23609	79	24	obtain	obtain	VERB
ajst-23609	79	25	a	a	DET
ajst-23609	79	26	vein	vein	ADJ
ajst-23609	79	27	image	image	NOUN
ajst-23609	79	28	and	and	CCONJ
ajst-23609	79	29	estimate	estimate	VERB
ajst-23609	79	30	the	the	DET
ajst-23609	79	31	vein	vein	ADJ
ajst-23609	79	32	width	width	NOUN
ajst-23609	79	33	based	base	VERB
ajst-23609	79	34	on	on	ADP
ajst-23609	79	35	the	the	DET
ajst-23609	79	36	image	image	NOUN
ajst-23609	79	37	,	,	PUNCT
ajst-23609	79	38	and	and	CCONJ
ajst-23609	79	39	then	then	ADV
ajst-23609	79	40	corrects	correct	VERB
ajst-23609	79	41	the	the	DET
ajst-23609	79	42	parameters	parameter	NOUN
ajst-23609	79	43	based	base	VERB
ajst-23609	79	44	on	on	ADP
ajst-23609	79	45	the	the	DET
ajst-23609	79	46	width	width	NOUN
ajst-23609	79	47	,	,	PUNCT
ajst-23609	79	48	and	and	CCONJ
ajst-23609	79	49	then	then	ADV
ajst-23609	79	50	performs	perform	VERB
ajst-23609	79	51	the	the	DET
ajst-23609	79	52	modified	modified	ADJ
ajst-23609	79	53	repetitive	repetitive	ADJ
ajst-23609	79	54	linear	linear	ADJ
ajst-23609	79	55	tracking	tracking	NOUN
ajst-23609	79	56	method	method	NOUN
ajst-23609	79	57	,	,	PUNCT
ajst-23609	79	58	which	which	PRON
ajst-23609	79	59	is	be	AUX
ajst-23609	79	60	more	more	ADV
ajst-23609	79	61	stable	stable	ADJ
ajst-23609	79	62	and	and	CCONJ
ajst-23609	79	63	efficient	efficient	ADJ
ajst-23609	79	64	than	than	ADP
ajst-23609	79	65	the	the	DET
ajst-23609	79	66	traditional	traditional	ADJ
ajst-23609	79	67	rtl	rtl	PROPN
ajst-23609	79	68	.	.	PUNCT
ajst-23609	80	1	gabor	gabor	PROPN
ajst-23609	80	2	filters	filter	NOUN
ajst-23609	80	3	are	be	AUX
ajst-23609	80	4	commonly	commonly	ADV
ajst-23609	80	5	used	use	VERB
ajst-23609	80	6	in	in	ADP
ajst-23609	80	7	biometrics	biometric	NOUN
ajst-23609	80	8	recognition	recognition	NOUN
ajst-23609	80	9	,	,	PUNCT
ajst-23609	80	10	including	include	VERB
ajst-23609	80	11	iris	iris	NOUN
ajst-23609	80	12	,	,	PUNCT
ajst-23609	80	13	fingerprint	fingerprint	NOUN
ajst-23609	80	14	,	,	PUNCT
ajst-23609	80	15	and	and	CCONJ
ajst-23609	80	16	palmprint	palmprint	PROPN
ajst-23609	80	17	recognition	recognition	NOUN
ajst-23609	80	18	.	.	PUNCT
ajst-23609	81	1	in	in	ADP
ajst-23609	81	2	literature	literature	NOUN
ajst-23609	81	3	[	[	X
ajst-23609	81	4	26	26	NUM
ajst-23609	81	5	]	]	PUNCT
ajst-23609	81	6	a	a	DET
ajst-23609	81	7	set	set	NOUN
ajst-23609	81	8	of	of	ADP
ajst-23609	81	9	gabor	gabor	PROPN
ajst-23609	81	10	filters	filter	NOUN
ajst-23609	81	11	are	be	AUX
ajst-23609	81	12	used	use	VERB
ajst-23609	81	13	to	to	PART
ajst-23609	81	14	extract	extract	VERB
ajst-23609	81	15	finger	finger	NOUN
ajst-23609	81	16	vein	vein	NOUN
ajst-23609	81	17	features	feature	NOUN
ajst-23609	81	18	,	,	PUNCT
ajst-23609	81	19	and	and	CCONJ
ajst-23609	81	20	based	base	VERB
ajst-23609	81	21	on	on	ADP
ajst-23609	81	22	the	the	DET
ajst-23609	81	23	filtered	filter	VERB
ajst-23609	81	24	image	image	NOUN
ajst-23609	81	25	,	,	PUNCT
ajst-23609	81	26	local	local	ADJ
ajst-23609	81	27	and	and	CCONJ
ajst-23609	81	28	global	global	ADJ
ajst-23609	81	29	finger	finger	NOUN
ajst-23609	81	30	vein	vein	ADJ
ajst-23609	81	31	features	feature	NOUN
ajst-23609	81	32	are	be	AUX
ajst-23609	81	33	extracted	extract	VERB
ajst-23609	81	34	to	to	PART
ajst-23609	81	35	construct	construct	VERB
ajst-23609	81	36	a	a	DET
ajst-23609	81	37	finger	finger	NOUN
ajst-23609	81	38	vein	vein	NOUN
ajst-23609	81	39	code	code	NOUN
ajst-23609	81	40	(	(	PUNCT
ajst-23609	81	41	fvcode	fvcode	ADJ
ajst-23609	81	42	)	)	PUNCT
ajst-23609	81	43	.	.	PUNCT
ajst-23609	82	1	literature	literature	NOUN
ajst-23609	82	2	[	[	X
ajst-23609	82	3	27	27	NUM
ajst-23609	82	4	]	]	PUNCT
ajst-23609	82	5	the	the	DET
ajst-23609	82	6	algorithm	algorithm	NOUN
ajst-23609	82	7	is	be	AUX
ajst-23609	82	8	optimized	optimize	VERB
ajst-23609	82	9	and	and	CCONJ
ajst-23609	82	10	an	an	DET
ajst-23609	82	11	adaptive	adaptive	ADJ
ajst-23609	82	12	gabor	gabor	NOUN
ajst-23609	82	13	filter	filter	NOUN
ajst-23609	82	14	is	be	AUX
ajst-23609	82	15	proposed	propose	VERB
ajst-23609	82	16	to	to	PART
ajst-23609	82	17	determine	determine	VERB
ajst-23609	82	18	the	the	DET
ajst-23609	82	19	optimal	optimal	ADJ
ajst-23609	82	20	parameters	parameter	NOUN
ajst-23609	82	21	of	of	ADP
ajst-23609	82	22	individual	individual	ADJ
ajst-23609	82	23	filters	filter	NOUN
ajst-23609	82	24	to	to	PART
ajst-23609	82	25	obtain	obtain	VERB
ajst-23609	82	26	effective	effective	ADJ
ajst-23609	82	27	vein	vein	ADJ
ajst-23609	82	28	pattern	pattern	NOUN
ajst-23609	82	29	images	image	NOUN
ajst-23609	82	30	.	.	PUNCT
ajst-23609	83	1	curvature	curvature	NOUN
ajst-23609	83	2	is	be	AUX
ajst-23609	83	3	a	a	DET
ajst-23609	83	4	physical	physical	ADJ
ajst-23609	83	5	quantity	quantity	NOUN
ajst-23609	83	6	that	that	PRON
ajst-23609	83	7	describes	describe	VERB
ajst-23609	83	8	the	the	DET
ajst-23609	83	9	change	change	NOUN
ajst-23609	83	10	in	in	ADP
ajst-23609	83	11	curvature	curvature	NOUN
ajst-23609	83	12	of	of	ADP
ajst-23609	83	13	a	a	DET
ajst-23609	83	14	curve	curve	NOUN
ajst-23609	83	15	,	,	PUNCT
ajst-23609	83	16	and	and	CCONJ
ajst-23609	83	17	in	in	ADP
ajst-23609	83	18	the	the	DET
ajst-23609	83	19	case	case	NOUN
ajst-23609	83	20	of	of	ADP
ajst-23609	83	21	venous	venous	ADJ
ajst-23609	83	22	vessels	vessel	NOUN
ajst-23609	83	23	,	,	PUNCT
ajst-23609	83	24	the	the	DET
ajst-23609	83	25	value	value	NOUN
ajst-23609	83	26	of	of	ADP
ajst-23609	83	27	curvature	curvature	NOUN
ajst-23609	83	28	is	be	AUX
ajst-23609	83	29	relatively	relatively	ADV
ajst-23609	83	30	large	large	ADJ
ajst-23609	83	31	.	.	PUNCT
ajst-23609	84	1	therefore	therefore	ADV
ajst-23609	84	2	,	,	PUNCT
ajst-23609	84	3	by	by	ADP
ajst-23609	84	4	calculating	calculate	VERB
ajst-23609	84	5	the	the	DET
ajst-23609	84	6	curvature	curvature	NOUN
ajst-23609	84	7	of	of	ADP
ajst-23609	84	8	individual	individual	ADJ
ajst-23609	84	9	points	point	NOUN
ajst-23609	84	10	in	in	ADP
ajst-23609	84	11	the	the	DET
ajst-23609	84	12	image	image	NOUN
ajst-23609	84	13	can	can	AUX
ajst-23609	84	14	be	be	AUX
ajst-23609	84	15	a	a	DET
ajst-23609	84	16	good	good	ADJ
ajst-23609	84	17	way	way	NOUN
ajst-23609	84	18	to	to	PART
ajst-23609	84	19	distinguish	distinguish	VERB
ajst-23609	84	20	blood	blood	NOUN
ajst-23609	84	21	vessels	vessel	NOUN
ajst-23609	84	22	from	from	ADP
ajst-23609	84	23	other	other	ADJ
ajst-23609	84	24	background	background	NOUN
ajst-23609	84	25	structures	structure	NOUN
ajst-23609	84	26	.	.	PUNCT
ajst-23609	85	1	liu	liu	PROPN
ajst-23609	85	2	et	et	PROPN
ajst-23609	85	3	al	al	PROPN
ajst-23609	86	1	[	[	X
ajst-23609	86	2	28	28	NUM
ajst-23609	86	3	]	]	PUNCT
ajst-23609	86	4	used	use	VERB
ajst-23609	86	5	the	the	DET
ajst-23609	86	6	enhanced	enhanced	ADJ
ajst-23609	86	7	maximum	maximum	ADJ
ajst-23609	86	8	curvature	curvature	NOUN
ajst-23609	86	9	(	(	PUNCT
ajst-23609	86	10	emc	emc	PROPN
ajst-23609	86	11	)	)	PUNCT
ajst-23609	86	12	method	method	NOUN
ajst-23609	86	13	to	to	PART
ajst-23609	86	14	extract	extract	VERB
ajst-23609	86	15	the	the	DET
ajst-23609	86	16	vein	vein	ADJ
ajst-23609	86	17	features	feature	NOUN
ajst-23609	86	18	and	and	CCONJ
ajst-23609	86	19	utilized	utilize	VERB
ajst-23609	86	20	the	the	DET
ajst-23609	86	21	best	good	ADJ
ajst-23609	86	22	matching	matching	NOUN
ajst-23609	86	23	region	region	NOUN
ajst-23609	86	24	score	score	NOUN
ajst-23609	86	25	(	(	PUNCT
ajst-23609	86	26	smrs	smrs	NOUN
ajst-23609	86	27	)	)	PUNCT
ajst-23609	86	28	and	and	CCONJ
ajst-23609	86	29	support	support	VERB
ajst-23609	86	30	vector	vector	NOUN
ajst-23609	86	31	machine	machine	NOUN
ajst-23609	86	32	(	(	PUNCT
ajst-23609	86	33	svm	svm	PROPN
ajst-23609	86	34	)	)	PUNCT
ajst-23609	86	35	for	for	ADP
ajst-23609	86	36	hierarchical	hierarchical	ADJ
ajst-23609	86	37	feature	feature	NOUN
ajst-23609	86	38	extraction	extraction	NOUN
ajst-23609	86	39	.	.	PUNCT
ajst-23609	87	1	literature	literature	NOUN
ajst-23609	88	1	[	[	X
ajst-23609	88	2	29	29	NUM
ajst-23609	88	3	]	]	PUNCT
ajst-23609	88	4	designed	design	VERB
ajst-23609	88	5	a	a	DET
ajst-23609	88	6	set	set	NOUN
ajst-23609	88	7	of	of	ADP
ajst-23609	88	8	spatial	spatial	ADJ
ajst-23609	88	9	curve	curve	NOUN
ajst-23609	88	10	filters	filter	NOUN
ajst-23609	88	11	(	(	PUNCT
ajst-23609	88	12	scfs	scfs	NOUN
ajst-23609	88	13	)	)	PUNCT
ajst-23609	88	14	with	with	ADP
ajst-23609	88	15	curvature	curvature	NOUN
ajst-23609	88	16	and	and	CCONJ
ajst-23609	88	17	orientation	orientation	NOUN
ajst-23609	88	18	variations	variation	NOUN
ajst-23609	88	19	,	,	PUNCT
ajst-23609	88	20	and	and	CCONJ
ajst-23609	88	21	weighted	weight	VERB
ajst-23609	88	22	the	the	DET
ajst-23609	88	23	scfs	scfs	NOUN
ajst-23609	88	24	using	use	VERB
ajst-23609	88	25	a	a	DET
ajst-23609	88	26	variable	variable	ADJ
ajst-23609	88	27	gaussian	gaussian	NOUN
ajst-23609	88	28	model	model	NOUN
ajst-23609	88	29	to	to	PART
ajst-23609	88	30	fit	fit	VERB
ajst-23609	88	31	the	the	DET
ajst-23609	88	32	vein	vein	ADJ
ajst-23609	88	33	curves	curve	NOUN
ajst-23609	88	34	tightly	tightly	ADV
ajst-23609	88	35	locally	locally	ADV
ajst-23609	88	36	.	.	PUNCT
ajst-23609	89	1	song	song	NOUN
ajst-23609	89	2	et	et	PROPN
ajst-23609	89	3	al	al	PROPN
ajst-23609	90	1	[	[	X
ajst-23609	90	2	30	30	NUM
ajst-23609	90	3	]	]	PUNCT
ajst-23609	90	4	proposed	propose	VERB
ajst-23609	90	5	the	the	DET
ajst-23609	90	6	mean	mean	ADJ
ajst-23609	90	7	curvature	curvature	NOUN
ajst-23609	90	8	method	method	NOUN
ajst-23609	90	9	,	,	PUNCT
ajst-23609	90	10	which	which	PRON
ajst-23609	90	11	treats	treat	VERB
ajst-23609	90	12	the	the	DET
ajst-23609	90	13	vein	vein	ADJ
ajst-23609	90	14	image	image	NOUN
ajst-23609	90	15	as	as	ADP
ajst-23609	90	16	a	a	DET
ajst-23609	90	17	geometrical	geometrical	ADJ
ajst-23609	90	18	shape	shape	NOUN
ajst-23609	90	19	and	and	CCONJ
ajst-23609	90	20	identifies	identify	VERB
ajst-23609	90	21	the	the	DET
ajst-23609	90	22	valley	valley	NOUN
ajst-23609	90	23	-	-	PUNCT
ajst-23609	90	24	like	like	ADJ
ajst-23609	90	25	structures	structure	NOUN
ajst-23609	90	26	with	with	ADP
ajst-23609	90	27	negative	negative	ADJ
ajst-23609	90	28	mean	mean	NOUN
ajst-23609	90	29	curvature	curvature	NOUN
ajst-23609	90	30	,	,	PUNCT
ajst-23609	90	31	and	and	CCONJ
ajst-23609	90	32	achieved	achieve	VERB
ajst-23609	90	33	good	good	ADJ
ajst-23609	90	34	vein	vein	ADJ
ajst-23609	90	35	texture	texture	ADJ
ajst-23609	90	36	extraction	extraction	NOUN
ajst-23609	90	37	effect	effect	NOUN
ajst-23609	90	38	.	.	PUNCT
ajst-23609	91	1	(	(	PUNCT
ajst-23609	91	2	2	2	X
ajst-23609	91	3	)	)	PUNCT
ajst-23609	91	4	vein	vein	ADJ
ajst-23609	91	5	texture	texture	NOUN
ajst-23609	91	6	based	base	VERB
ajst-23609	91	7	feature	feature	NOUN
ajst-23609	91	8	extraction	extraction	NOUN
ajst-23609	91	9	approach	approach	NOUN
ajst-23609	91	10	local	local	ADJ
ajst-23609	91	11	binarization	binarization	NOUN
ajst-23609	91	12	-	-	PUNCT
ajst-23609	91	13	based	base	VERB
ajst-23609	91	14	methods	method	NOUN
ajst-23609	91	15	obtain	obtain	VERB
ajst-23609	91	16	local	local	ADJ
ajst-23609	91	17	binary	binary	ADJ
ajst-23609	91	18	patterns	pattern	NOUN
ajst-23609	91	19	(	(	PUNCT
ajst-23609	91	20	lbp	lbp	PROPN
ajst-23609	91	21	)	)	PUNCT
ajst-23609	91	22	by	by	ADP
ajst-23609	91	23	converting	convert	VERB
ajst-23609	91	24	the	the	DET
ajst-23609	91	25	difference	difference	NOUN
ajst-23609	91	26	between	between	ADP
ajst-23609	91	27	the	the	DET
ajst-23609	91	28	center	center	NOUN
ajst-23609	91	29	pixel	pixel	NOUN
ajst-23609	91	30	of	of	ADP
ajst-23609	91	31	a	a	DET
ajst-23609	91	32	local	local	ADJ
ajst-23609	91	33	window	window	NOUN
ajst-23609	91	34	and	and	CCONJ
ajst-23609	91	35	its	its	PRON
ajst-23609	91	36	neighboring	neighboring	NOUN
ajst-23609	91	37	pixels	pixel	NOUN
ajst-23609	91	38	into	into	ADP
ajst-23609	91	39	binary	binary	ADJ
ajst-23609	91	40	encoding	encoding	NOUN
ajst-23609	91	41	,	,	PUNCT
ajst-23609	91	42	which	which	PRON
ajst-23609	91	43	is	be	AUX
ajst-23609	91	44	used	use	VERB
ajst-23609	91	45	to	to	PART
ajst-23609	91	46	represent	represent	VERB
ajst-23609	91	47	the	the	DET
ajst-23609	91	48	local	local	ADJ
ajst-23609	91	49	features	feature	NOUN
ajst-23609	91	50	133	133	NUM
ajst-23609	91	51	of	of	ADP
ajst-23609	91	52	finger	finger	NOUN
ajst-23609	91	53	veins	vein	NOUN
ajst-23609	91	54	.	.	PUNCT
ajst-23609	92	1	lee	lee	PROPN
ajst-23609	92	2	et	et	PROPN
ajst-23609	92	3	al	al	PROPN
ajst-23609	93	1	[	[	X
ajst-23609	93	2	31	31	NUM
ajst-23609	93	3	]	]	PUNCT
ajst-23609	93	4	proposed	propose	VERB
ajst-23609	93	5	a	a	DET
ajst-23609	93	6	feature	feature	NOUN
ajst-23609	93	7	fusion	fusion	NOUN
ajst-23609	93	8	method	method	NOUN
ajst-23609	93	9	that	that	PRON
ajst-23609	93	10	uses	use	VERB
ajst-23609	93	11	simple	simple	ADJ
ajst-23609	93	12	binarization	binarization	NOUN
ajst-23609	93	13	,	,	PUNCT
ajst-23609	93	14	local	local	ADJ
ajst-23609	93	15	binary	binary	ADJ
ajst-23609	93	16	patterns	pattern	NOUN
ajst-23609	93	17	(	(	PUNCT
ajst-23609	93	18	lbp	lbp	PROPN
ajst-23609	93	19	)	)	PUNCT
ajst-23609	93	20	and	and	CCONJ
ajst-23609	93	21	local	local	ADJ
ajst-23609	93	22	derivative	derivative	ADJ
ajst-23609	93	23	pattern	pattern	NOUN
ajst-23609	93	24	(	(	PUNCT
ajst-23609	93	25	ldp	ldp	PROPN
ajst-23609	93	26	)	)	PUNCT
ajst-23609	93	27	for	for	ADP
ajst-23609	93	28	finger	finger	NOUN
ajst-23609	93	29	vein	vein	NOUN
ajst-23609	93	30	recognition	recognition	NOUN
ajst-23609	93	31	,	,	PUNCT
ajst-23609	93	32	which	which	PRON
ajst-23609	93	33	exhibits	exhibit	VERB
ajst-23609	93	34	higher	high	ADJ
ajst-23609	93	35	recognition	recognition	NOUN
ajst-23609	93	36	accuracy	accuracy	NOUN
ajst-23609	93	37	and	and	CCONJ
ajst-23609	93	38	shorter	short	ADJ
ajst-23609	93	39	processing	processing	NOUN
ajst-23609	93	40	time	time	NOUN
ajst-23609	93	41	.	.	PUNCT
ajst-23609	94	1	the	the	DET
ajst-23609	94	2	local	local	ADJ
ajst-23609	94	3	line	line	NOUN
ajst-23609	94	4	binary	binary	NOUN
ajst-23609	94	5	pattern	pattern	NOUN
ajst-23609	94	6	(	(	PUNCT
ajst-23609	94	7	llbp	llbp	PROPN
ajst-23609	94	8	)	)	PUNCT
ajst-23609	94	9	method	method	NOUN
ajst-23609	94	10	was	be	AUX
ajst-23609	94	11	applied	apply	VERB
ajst-23609	94	12	to	to	PART
ajst-23609	94	13	finger	finger	VERB
ajst-23609	94	14	vein	vein	ADJ
ajst-23609	94	15	recognition	recognition	NOUN
ajst-23609	94	16	in	in	ADP
ajst-23609	94	17	the	the	DET
ajst-23609	94	18	literature	literature	NOUN
ajst-23609	94	19	[	[	X
ajst-23609	94	20	32	32	NUM
ajst-23609	94	21	]	]	PUNCT
ajst-23609	94	22	,	,	PUNCT
ajst-23609	94	23	and	and	CCONJ
ajst-23609	94	24	the	the	DET
ajst-23609	94	25	performance	performance	NOUN
ajst-23609	94	26	of	of	ADP
ajst-23609	94	27	using	use	VERB
ajst-23609	94	28	llbp	llbp	PROPN
ajst-23609	94	29	was	be	AUX
ajst-23609	94	30	better	well	ADJ
ajst-23609	94	31	than	than	ADP
ajst-23609	94	32	local	local	ADJ
ajst-23609	94	33	binary	binary	ADJ
ajst-23609	94	34	pattern	pattern	NOUN
ajst-23609	94	35	(	(	PUNCT
ajst-23609	94	36	lbp	lbp	NOUN
ajst-23609	94	37	)	)	PUNCT
ajst-23609	94	38	and	and	CCONJ
ajst-23609	94	39	local	local	ADJ
ajst-23609	94	40	derivative	derivative	ADJ
ajst-23609	94	41	pattern	pattern	NOUN
ajst-23609	94	42	(	(	PUNCT
ajst-23609	94	43	ldp).yin	ldp).yin	PROPN
ajst-23609	94	44	et	et	PROPN
ajst-23609	94	45	al	al	PROPN
ajst-23609	94	46	.	.	PROPN
ajst-23609	95	1	proposed	propose	VERB
ajst-23609	95	2	a	a	DET
ajst-23609	95	3	local	local	ADJ
ajst-23609	95	4	descriptor	descriptor	NOUN
ajst-23609	95	5	called	call	VERB
ajst-23609	95	6	local	local	ADJ
ajst-23609	95	7	directional	directional	ADJ
ajst-23609	95	8	code	code	NOUN
ajst-23609	95	9	(	(	PUNCT
ajst-23609	95	10	ldc	ldc	PROPN
ajst-23609	95	11	)	)	PUNCT
ajst-23609	95	12	,	,	PUNCT
ajst-23609	95	13	which	which	PRON
ajst-23609	95	14	is	be	AUX
ajst-23609	95	15	a	a	DET
ajst-23609	95	16	square	square	ADJ
ajst-23609	95	17	local	local	ADJ
ajst-23609	95	18	descriptor	descriptor	NOUN
ajst-23609	95	19	that	that	PRON
ajst-23609	95	20	requires	require	VERB
ajst-23609	95	21	only	only	ADV
ajst-23609	95	22	four	four	NUM
ajst-23609	95	23	neighborhoods	neighborhood	NOUN
ajst-23609	95	24	for	for	ADP
ajst-23609	95	25	coding	code	VERB
ajst-23609	95	26	,	,	PUNCT
ajst-23609	95	27	thus	thus	ADV
ajst-23609	95	28	the	the	DET
ajst-23609	95	29	computational	computational	ADJ
ajst-23609	95	30	complexity	complexity	NOUN
ajst-23609	95	31	of	of	ADP
ajst-23609	95	32	ldc	ldc	PROPN
ajst-23609	95	33	is	be	AUX
ajst-23609	95	34	much	much	ADV
ajst-23609	95	35	lower	low	ADJ
ajst-23609	95	36	than	than	ADP
ajst-23609	95	37	that	that	PRON
ajst-23609	95	38	of	of	ADP
ajst-23609	95	39	llbp	llbp	PROPN
ajst-23609	95	40	and	and	CCONJ
ajst-23609	95	41	better	well	ADV
ajst-23609	95	42	reflects	reflect	VERB
ajst-23609	95	43	the	the	DET
ajst-23609	95	44	directional	directional	ADJ
ajst-23609	95	45	information	information	NOUN
ajst-23609	95	46	and	and	CCONJ
ajst-23609	95	47	local	local	ADJ
ajst-23609	95	48	features	feature	NOUN
ajst-23609	95	49	.	.	PUNCT
ajst-23609	96	1	a	a	DET
ajst-23609	96	2	new	new	ADJ
ajst-23609	96	3	feature	feature	NOUN
ajst-23609	96	4	extraction	extraction	NOUN
ajst-23609	96	5	method	method	NOUN
ajst-23609	96	6	called	call	VERB
ajst-23609	96	7	multi	multi	ADJ
ajst-23609	96	8	-	-	ADJ
ajst-23609	96	9	scale	scale	ADJ
ajst-23609	96	10	sobel	sobel	NOUN
ajst-23609	96	11	angles	angle	VERB
ajst-23609	96	12	local	local	ADJ
ajst-23609	96	13	binary	binary	NOUN
ajst-23609	96	14	pattern	pattern	NOUN
ajst-23609	96	15	(	(	PUNCT
ajst-23609	96	16	msalbp	msalbp	PROPN
ajst-23609	96	17	)	)	PUNCT
ajst-23609	96	18	is	be	AUX
ajst-23609	96	19	proposed	propose	VERB
ajst-23609	96	20	in	in	ADP
ajst-23609	96	21	the	the	DET
ajst-23609	96	22	literature	literature	NOUN
ajst-23609	97	1	[	[	X
ajst-23609	97	2	33	33	NUM
ajst-23609	97	3	]	]	PUNCT
ajst-23609	97	4	,	,	PUNCT
ajst-23609	97	5	which	which	PRON
ajst-23609	97	6	fuses	fuse	VERB
ajst-23609	97	7	the	the	DET
ajst-23609	97	8	sobel	sobel	NOUN
ajst-23609	97	9	orientation	orientation	NOUN
ajst-23609	97	10	angles	angle	VERB
ajst-23609	97	11	with	with	ADP
ajst-23609	97	12	the	the	DET
ajst-23609	97	13	multi	multi	ADJ
ajst-23609	97	14	-	-	ADJ
ajst-23609	97	15	scale	scale	ADJ
ajst-23609	97	16	local	local	ADJ
ajst-23609	97	17	binary	binary	NOUN
ajst-23609	97	18	pattern	pattern	NOUN
ajst-23609	97	19	(	(	PUNCT
ajst-23609	97	20	mslbp	mslbp	NOUN
ajst-23609	97	21	)	)	PUNCT
ajst-23609	97	22	,	,	PUNCT
ajst-23609	97	23	and	and	CCONJ
ajst-23609	97	24	the	the	DET
ajst-23609	97	25	resulting	result	VERB
ajst-23609	97	26	features	feature	NOUN
ajst-23609	97	27	are	be	AUX
ajst-23609	97	28	divided	divide	VERB
ajst-23609	97	29	into	into	ADP
ajst-23609	97	30	non	non	ADJ
ajst-23609	97	31	-	-	ADJ
ajst-23609	97	32	overlapping	overlapping	ADJ
ajst-23609	97	33	blocks	block	NOUN
ajst-23609	97	34	and	and	CCONJ
ajst-23609	97	35	statistically	statistically	ADV
ajst-23609	97	36	computed	compute	VERB
ajst-23609	97	37	to	to	PART
ajst-23609	97	38	form	form	VERB
ajst-23609	97	39	texture	texture	ADJ
ajst-23609	97	40	vector	vector	NOUN
ajst-23609	97	41	.	.	PUNCT
ajst-23609	98	1	(	(	PUNCT
ajst-23609	98	2	3	3	X
ajst-23609	98	3	)	)	PUNCT
ajst-23609	98	4	vein	vein	ADJ
ajst-23609	98	5	minutia	minutia	NOUN
ajst-23609	98	6	based	base	VERB
ajst-23609	98	7	feature	feature	NOUN
ajst-23609	98	8	extraction	extraction	NOUN
ajst-23609	98	9	approach	approach	NOUN
ajst-23609	98	10	in	in	ADP
ajst-23609	98	11	finger	finger	NOUN
ajst-23609	98	12	vein	vein	NOUN
ajst-23609	98	13	recognition	recognition	NOUN
ajst-23609	98	14	,	,	PUNCT
ajst-23609	98	15	detail	detail	NOUN
ajst-23609	98	16	points	point	NOUN
ajst-23609	98	17	,	,	PUNCT
ajst-23609	98	18	which	which	PRON
ajst-23609	98	19	are	be	AUX
ajst-23609	98	20	the	the	DET
ajst-23609	98	21	endpoints	endpoint	NOUN
ajst-23609	98	22	and	and	CCONJ
ajst-23609	98	23	bifurcations	bifurcation	NOUN
ajst-23609	98	24	of	of	ADP
ajst-23609	98	25	finger	finger	NOUN
ajst-23609	98	26	veins	vein	NOUN
ajst-23609	98	27	,	,	PUNCT
ajst-23609	98	28	are	be	AUX
ajst-23609	98	29	an	an	DET
ajst-23609	98	30	important	important	ADJ
ajst-23609	98	31	feature	feature	NOUN
ajst-23609	98	32	of	of	ADP
ajst-23609	98	33	finger	finger	NOUN
ajst-23609	98	34	vein	vein	NOUN
ajst-23609	98	35	images	image	NOUN
ajst-23609	98	36	.	.	PUNCT
ajst-23609	99	1	using	use	VERB
ajst-23609	99	2	endpoints	endpoint	NOUN
ajst-23609	99	3	and	and	CCONJ
ajst-23609	99	4	bifurcations	bifurcation	NOUN
ajst-23609	99	5	in	in	ADP
ajst-23609	99	6	the	the	DET
ajst-23609	99	7	finger	finger	NOUN
ajst-23609	99	8	vein	vein	NOUN
ajst-23609	99	9	pattern	pattern	NOUN
ajst-23609	99	10	for	for	ADP
ajst-23609	99	11	matching	match	VERB
ajst-23609	99	12	,	,	PUNCT
ajst-23609	99	13	locally	locally	ADV
ajst-23609	99	14	invariant	invariant	ADJ
ajst-23609	99	15	feature	feature	NOUN
ajst-23609	99	16	descriptors	descriptor	NOUN
ajst-23609	99	17	can	can	AUX
ajst-23609	99	18	characterize	characterize	VERB
ajst-23609	99	19	these	these	DET
ajst-23609	99	20	detail	detail	NOUN
ajst-23609	99	21	points	point	NOUN
ajst-23609	99	22	,	,	PUNCT
ajst-23609	99	23	and	and	CCONJ
ajst-23609	99	24	the	the	DET
ajst-23609	99	25	obtained	obtain	VERB
ajst-23609	99	26	features	feature	NOUN
ajst-23609	99	27	are	be	AUX
ajst-23609	99	28	robust	robust	ADJ
ajst-23609	99	29	to	to	ADP
ajst-23609	99	30	deformation	deformation	NOUN
ajst-23609	99	31	,	,	PUNCT
ajst-23609	99	32	translation	translation	NOUN
ajst-23609	99	33	,	,	PUNCT
ajst-23609	99	34	rotation	rotation	NOUN
ajst-23609	99	35	,	,	PUNCT
ajst-23609	99	36	and	and	CCONJ
ajst-23609	99	37	scaling	scale	VERB
ajst-23609	99	38	changes	change	NOUN
ajst-23609	99	39	.	.	PUNCT
ajst-23609	100	1	yu	yu	PROPN
ajst-23609	100	2	et	et	PROPN
ajst-23609	100	3	al	al	PROPN
ajst-23609	101	1	[	[	X
ajst-23609	101	2	34	34	NUM
ajst-23609	101	3	]	]	PUNCT
ajst-23609	101	4	extracted	extract	VERB
ajst-23609	101	5	bifurcations	bifurcation	NOUN
ajst-23609	101	6	and	and	CCONJ
ajst-23609	101	7	endpoints	endpoint	NOUN
ajst-23609	101	8	from	from	ADP
ajst-23609	101	9	the	the	DET
ajst-23609	101	10	vein	vein	ADJ
ajst-23609	101	11	pattern	pattern	NOUN
ajst-23609	101	12	to	to	PART
ajst-23609	101	13	represent	represent	VERB
ajst-23609	101	14	the	the	DET
ajst-23609	101	15	vein	vein	NOUN
ajst-23609	101	16	's	's	PART
ajst-23609	101	17	topology	topology	NOUN
ajst-23609	101	18	,	,	PUNCT
ajst-23609	101	19	and	and	CCONJ
ajst-23609	101	20	proposed	propose	VERB
ajst-23609	101	21	an	an	DET
ajst-23609	101	22	improved	improved	ADJ
ajst-23609	101	23	hausdorff	hausdorff	NOUN
ajst-23609	101	24	distance	distance	NOUN
ajst-23609	101	25	algorithm	algorithm	NOUN
ajst-23609	101	26	to	to	PART
ajst-23609	101	27	evaluate	evaluate	VERB
ajst-23609	101	28	the	the	DET
ajst-23609	101	29	ability	ability	NOUN
ajst-23609	101	30	to	to	PART
ajst-23609	101	31	recognize	recognize	VERB
ajst-23609	101	32	the	the	DET
ajst-23609	101	33	shape	shape	NOUN
ajst-23609	101	34	of	of	ADP
ajst-23609	101	35	the	the	DET
ajst-23609	101	36	vein	vein	NOUN
ajst-23609	101	37	of	of	ADP
ajst-23609	101	38	all	all	DET
ajst-23609	101	39	possible	possible	ADJ
ajst-23609	101	40	relative	relative	ADJ
ajst-23609	101	41	positions	position	NOUN
ajst-23609	101	42	.	.	PUNCT
ajst-23609	102	1	mantrao	mantrao	NOUN
ajst-23609	102	2	et	et	PROPN
ajst-23609	102	3	al	al	PROPN
ajst-23609	103	1	[	[	X
ajst-23609	103	2	35	35	NUM
ajst-23609	103	3	]	]	PUNCT
ajst-23609	103	4	proposed	propose	VERB
ajst-23609	103	5	a	a	DET
ajst-23609	103	6	method	method	NOUN
ajst-23609	103	7	using	use	VERB
ajst-23609	103	8	detail	detail	NOUN
ajst-23609	103	9	point	point	NOUN
ajst-23609	103	10	matching	match	VERB
ajst-23609	103	11	by	by	ADP
ajst-23609	103	12	first	first	ADV
ajst-23609	103	13	preprocessing	preprocesse	VERB
ajst-23609	103	14	the	the	DET
ajst-23609	103	15	finger	finger	NOUN
ajst-23609	103	16	vein	vein	VERB
ajst-23609	103	17	image	image	NOUN
ajst-23609	103	18	and	and	CCONJ
ajst-23609	103	19	then	then	ADV
ajst-23609	103	20	generating	generate	VERB
ajst-23609	103	21	a	a	DET
ajst-23609	103	22	grayscaled	grayscale	VERB
ajst-23609	103	23	image	image	NOUN
ajst-23609	103	24	of	of	ADP
ajst-23609	103	25	the	the	DET
ajst-23609	103	26	finger	finger	NOUN
ajst-23609	103	27	vein	vein	VERB
ajst-23609	103	28	image	image	NOUN
ajst-23609	103	29	and	and	CCONJ
ajst-23609	103	30	then	then	ADV
ajst-23609	103	31	extracting	extract	VERB
ajst-23609	103	32	the	the	DET
ajst-23609	103	33	detail	detail	NOUN
ajst-23609	103	34	points	point	NOUN
ajst-23609	103	35	of	of	ADP
ajst-23609	103	36	the	the	DET
ajst-23609	103	37	finger	finger	NOUN
ajst-23609	103	38	vein	vein	VERB
ajst-23609	103	39	using	use	VERB
ajst-23609	103	40	morphological	morphological	ADJ
ajst-23609	103	41	operations	operation	NOUN
ajst-23609	103	42	.	.	PUNCT
ajst-23609	104	1	in	in	ADP
ajst-23609	104	2	literature	literature	NOUN
ajst-23609	104	3	[	[	X
ajst-23609	104	4	36	36	NUM
ajst-23609	104	5	]	]	PUNCT
ajst-23609	104	6	a	a	DET
ajst-23609	104	7	convolutional	convolutional	ADJ
ajst-23609	104	8	method	method	NOUN
ajst-23609	104	9	was	be	AUX
ajst-23609	104	10	proposed	propose	VERB
ajst-23609	104	11	to	to	PART
ajst-23609	104	12	extract	extract	VERB
ajst-23609	104	13	the	the	DET
ajst-23609	104	14	detail	detail	NOUN
ajst-23609	104	15	points	point	NOUN
ajst-23609	104	16	of	of	ADP
ajst-23609	104	17	the	the	DET
ajst-23609	104	18	veins	vein	NOUN
ajst-23609	104	19	.	.	PUNCT
ajst-23609	105	1	the	the	DET
ajst-23609	105	2	detail	detail	NOUN
ajst-23609	105	3	point	point	NOUN
ajst-23609	105	4	feature	feature	NOUN
ajst-23609	105	5	extraction	extraction	NOUN
ajst-23609	105	6	involves	involve	VERB
ajst-23609	105	7	extracting	extract	VERB
ajst-23609	105	8	the	the	DET
ajst-23609	105	9	endpoints	endpoint	NOUN
ajst-23609	105	10	and	and	CCONJ
ajst-23609	105	11	bifurcation	bifurcation	NOUN
ajst-23609	105	12	points	point	NOUN
ajst-23609	105	13	from	from	ADP
ajst-23609	105	14	the	the	DET
ajst-23609	105	15	vein	vein	ADJ
ajst-23609	105	16	skeleton	skeleton	NOUN
ajst-23609	105	17	map	map	NOUN
ajst-23609	105	18	.	.	PUNCT
ajst-23609	106	1	prabhaka	prabhaka	PROPN
ajst-23609	106	2	et	et	PROPN
ajst-23609	106	3	al	al	PROPN
ajst-23609	107	1	[	[	X
ajst-23609	107	2	37	37	NUM
ajst-23609	107	3	]	]	PUNCT
ajst-23609	107	4	proposed	propose	VERB
ajst-23609	107	5	a	a	DET
ajst-23609	107	6	finger	finger	NOUN
ajst-23609	107	7	vein	vein	VERB
ajst-23609	107	8	recognition	recognition	NOUN
ajst-23609	107	9	method	method	NOUN
ajst-23609	107	10	based	base	VERB
ajst-23609	107	11	on	on	ADP
ajst-23609	107	12	the	the	DET
ajst-23609	107	13	detail	detail	NOUN
ajst-23609	107	14	point	point	NOUN
ajst-23609	107	15	feature	feature	NOUN
ajst-23609	107	16	extraction	extraction	NOUN
ajst-23609	107	17	and	and	CCONJ
ajst-23609	107	18	pseudo	pseudo	NOUN
ajst-23609	107	19	-	-	NOUN
ajst-23609	107	20	detail	detail	NOUN
ajst-23609	107	21	point	point	NOUN
ajst-23609	107	22	removal	removal	NOUN
ajst-23609	107	23	to	to	PART
ajst-23609	107	24	make	make	VERB
ajst-23609	107	25	the	the	DET
ajst-23609	107	26	recognition	recognition	NOUN
ajst-23609	107	27	more	more	ADV
ajst-23609	107	28	accurate	accurate	ADJ
ajst-23609	107	29	.	.	PUNCT
ajst-23609	108	1	bansal	bansal	NOUN
ajst-23609	108	2	et	et	PROPN
ajst-23609	108	3	al	al	PROPN
ajst-23609	109	1	[	[	X
ajst-23609	109	2	38	38	NUM
ajst-23609	109	3	]	]	PUNCT
ajst-23609	109	4	,	,	PUNCT
ajst-23609	109	5	on	on	ADP
ajst-23609	109	6	the	the	DET
ajst-23609	109	7	other	other	ADJ
ajst-23609	109	8	hand	hand	NOUN
ajst-23609	109	9	,	,	PUNCT
ajst-23609	109	10	fused	fuse	VERB
ajst-23609	109	11	the	the	DET
ajst-23609	109	12	detail	detail	NOUN
ajst-23609	109	13	point	point	NOUN
ajst-23609	109	14	extraction	extraction	NOUN
ajst-23609	109	15	and	and	CCONJ
ajst-23609	109	16	curve	curve	VERB
ajst-23609	109	17	analysis	analysis	NOUN
ajst-23609	109	18	methods	method	NOUN
ajst-23609	109	19	,	,	PUNCT
ajst-23609	109	20	applied	apply	VERB
ajst-23609	109	21	refinement	refinement	NOUN
ajst-23609	109	22	techniques	technique	NOUN
ajst-23609	109	23	to	to	PART
ajst-23609	109	24	extract	extract	VERB
ajst-23609	109	25	the	the	DET
ajst-23609	109	26	finger	finger	NOUN
ajst-23609	109	27	vein	vein	VERB
ajst-23609	109	28	skeleton	skeleton	NOUN
ajst-23609	109	29	and	and	CCONJ
ajst-23609	109	30	calculate	calculate	VERB
ajst-23609	109	31	the	the	DET
ajst-23609	109	32	detail	detail	NOUN
ajst-23609	109	33	points	point	NOUN
ajst-23609	109	34	,	,	PUNCT
ajst-23609	109	35	and	and	CCONJ
ajst-23609	109	36	finally	finally	ADV
ajst-23609	109	37	obtained	obtain	VERB
ajst-23609	109	38	the	the	DET
ajst-23609	109	39	curve	curve	NOUN
ajst-23609	109	40	and	and	CCONJ
ajst-23609	109	41	further	far	ADV
ajst-23609	109	42	analyzed	analyze	VERB
ajst-23609	109	43	it	it	PRON
ajst-23609	109	44	by	by	ADP
ajst-23609	109	45	calculus	calculus	NOUN
ajst-23609	109	46	methods	method	NOUN
ajst-23609	109	47	.	.	PUNCT
ajst-23609	110	1	4.2	4.2	NUM
ajst-23609	110	2	.	.	PUNCT
ajst-23609	111	1	deep	deep	ADJ
ajst-23609	111	2	neural	neural	ADJ
ajst-23609	111	3	network	network	NOUN
ajst-23609	111	4	methods	method	NOUN
ajst-23609	111	5	traditional	traditional	ADJ
ajst-23609	111	6	finger	finger	NOUN
ajst-23609	111	7	vein	vein	NOUN
ajst-23609	111	8	recognition	recognition	NOUN
ajst-23609	111	9	mainly	mainly	ADV
ajst-23609	111	10	utilizes	utilize	VERB
ajst-23609	111	11	a	a	DET
ajst-23609	111	12	manually	manually	ADV
ajst-23609	111	13	designed	design	VERB
ajst-23609	111	14	feature	feature	NOUN
ajst-23609	111	15	-	-	PUNCT
ajst-23609	111	16	based	base	VERB
ajst-23609	111	17	approach	approach	NOUN
ajst-23609	111	18	to	to	ADP
ajst-23609	111	19	recognition	recognition	NOUN
ajst-23609	111	20	,	,	PUNCT
ajst-23609	111	21	with	with	ADP
ajst-23609	111	22	a	a	DET
ajst-23609	111	23	complex	complex	ADJ
ajst-23609	111	24	process	process	NOUN
ajst-23609	111	25	and	and	CCONJ
ajst-23609	111	26	features	feature	NOUN
ajst-23609	111	27	that	that	PRON
ajst-23609	111	28	are	be	AUX
ajst-23609	111	29	difficult	difficult	ADJ
ajst-23609	111	30	to	to	PART
ajst-23609	111	31	characterize	characterize	VERB
ajst-23609	111	32	the	the	DET
ajst-23609	111	33	various	various	ADJ
ajst-23609	111	34	gesture	gesture	NOUN
ajst-23609	111	35	changes	change	NOUN
ajst-23609	111	36	of	of	ADP
ajst-23609	111	37	the	the	DET
ajst-23609	111	38	finger	finger	NOUN
ajst-23609	111	39	,	,	PUNCT
ajst-23609	111	40	and	and	CCONJ
ajst-23609	111	41	poor	poor	ADJ
ajst-23609	111	42	algorithmic	algorithmic	ADJ
ajst-23609	111	43	robustness	robustness	NOUN
ajst-23609	111	44	and	and	CCONJ
ajst-23609	111	45	mobility	mobility	NOUN
ajst-23609	111	46	.	.	PUNCT
ajst-23609	112	1	with	with	ADP
ajst-23609	112	2	the	the	DET
ajst-23609	112	3	rise	rise	NOUN
ajst-23609	112	4	of	of	ADP
ajst-23609	112	5	deep	deep	ADJ
ajst-23609	112	6	learning	learning	NOUN
ajst-23609	112	7	,	,	PUNCT
ajst-23609	112	8	feature	feature	NOUN
ajst-23609	112	9	extraction	extraction	NOUN
ajst-23609	112	10	is	be	AUX
ajst-23609	112	11	gradually	gradually	ADV
ajst-23609	112	12	optimized	optimize	VERB
ajst-23609	112	13	and	and	CCONJ
ajst-23609	112	14	more	more	ADV
ajst-23609	112	15	automated	automate	VERB
ajst-23609	112	16	.	.	PUNCT
ajst-23609	113	1	for	for	ADP
ajst-23609	113	2	example	example	NOUN
ajst-23609	113	3	,	,	PUNCT
ajst-23609	113	4	convolutional	convolutional	ADJ
ajst-23609	113	5	neural	neural	ADJ
ajst-23609	113	6	network	network	NOUN
ajst-23609	113	7	(	(	PUNCT
ajst-23609	113	8	cnn	cnn	PROPN
ajst-23609	113	9	)	)	PUNCT
ajst-23609	113	10	,	,	PUNCT
ajst-23609	113	11	a	a	DET
ajst-23609	113	12	popular	popular	ADJ
ajst-23609	113	13	deep	deep	ADJ
ajst-23609	113	14	learning	learning	NOUN
ajst-23609	113	15	model	model	NOUN
ajst-23609	113	16	,	,	PUNCT
ajst-23609	113	17	has	have	VERB
ajst-23609	113	18	a	a	DET
ajst-23609	113	19	feature	feature	NOUN
ajst-23609	113	20	extraction	extraction	NOUN
ajst-23609	113	21	layer	layer	NOUN
ajst-23609	113	22	that	that	PRON
ajst-23609	113	23	is	be	AUX
ajst-23609	113	24	capable	capable	ADJ
ajst-23609	113	25	of	of	ADP
ajst-23609	113	26	extracting	extract	VERB
ajst-23609	113	27	optimized	optimize	VERB
ajst-23609	113	28	vein	vein	NOUN
ajst-23609	113	29	features	feature	NOUN
ajst-23609	113	30	from	from	ADP
ajst-23609	113	31	training	training	NOUN
ajst-23609	113	32	images	image	NOUN
ajst-23609	113	33	.	.	PUNCT
ajst-23609	114	1	radzi	radzi	NOUN
ajst-23609	114	2	et	et	PROPN
ajst-23609	114	3	al	al	PROPN
ajst-23609	115	1	[	[	X
ajst-23609	115	2	39	39	NUM
ajst-23609	115	3	]	]	PUNCT
ajst-23609	115	4	first	first	ADV
ajst-23609	115	5	attempted	attempt	VERB
ajst-23609	115	6	to	to	PART
ajst-23609	115	7	use	use	VERB
ajst-23609	115	8	a	a	DET
ajst-23609	115	9	deep	deep	ADJ
ajst-23609	115	10	learning	learning	NOUN
ajst-23609	115	11	model	model	NOUN
ajst-23609	115	12	in	in	ADP
ajst-23609	115	13	finger	finger	NOUN
ajst-23609	115	14	vein	vein	VERB
ajst-23609	115	15	biometrics	biometric	NOUN
ajst-23609	115	16	in	in	ADP
ajst-23609	115	17	2016	2016	NUM
ajst-23609	115	18	,	,	PUNCT
ajst-23609	115	19	where	where	SCONJ
ajst-23609	115	20	convolutional	convolutional	ADJ
ajst-23609	115	21	and	and	CCONJ
ajst-23609	115	22	subsampling	subsample	VERB
ajst-23609	115	23	layers	layer	NOUN
ajst-23609	115	24	were	be	AUX
ajst-23609	115	25	fused	fuse	VERB
ajst-23609	115	26	into	into	ADP
ajst-23609	115	27	a	a	DET
ajst-23609	115	28	lower	low	ADJ
ajst-23609	115	29	-	-	PUNCT
ajst-23609	115	30	complexity	complexity	NOUN
ajst-23609	115	31	,	,	PUNCT
ajst-23609	115	32	4	4	NUM
ajst-23609	115	33	-	-	PUNCT
ajst-23609	115	34	layer	layer	NOUN
ajst-23609	115	35	cnn	cnn	PROPN
ajst-23609	115	36	,	,	PUNCT
ajst-23609	115	37	which	which	PRON
ajst-23609	115	38	was	be	AUX
ajst-23609	115	39	tested	test	VERB
ajst-23609	115	40	on	on	ADP
ajst-23609	115	41	an	an	DET
ajst-23609	115	42	inhouse	inhouse	NOUN
ajst-23609	115	43	dataset	dataset	VERB
ajst-23609	115	44	hong	hong	PROPN
ajst-23609	115	45	et	et	PROPN
ajst-23609	115	46	al	al	PROPN
ajst-23609	116	1	[	[	X
ajst-23609	116	2	40	40	NUM
ajst-23609	116	3	]	]	PUNCT
ajst-23609	116	4	used	use	VERB
ajst-23609	116	5	a	a	DET
ajst-23609	116	6	pre	pre	ADJ
ajst-23609	116	7	-	-	ADJ
ajst-23609	116	8	trained	train	VERB
ajst-23609	116	9	vgg	vgg	PROPN
ajst-23609	116	10	-	-	PUNCT
ajst-23609	116	11	net-16	net-16	NOUN
ajst-23609	116	12	model	model	NOUN
ajst-23609	116	13	for	for	ADP
ajst-23609	116	14	finger	finger	NOUN
ajst-23609	116	15	vein	vein	NOUN
ajst-23609	116	16	recognition	recognition	NOUN
ajst-23609	116	17	,	,	PUNCT
ajst-23609	116	18	which	which	PRON
ajst-23609	116	19	consisted	consist	VERB
ajst-23609	116	20	of	of	ADP
ajst-23609	116	21	13	13	NUM
ajst-23609	116	22	convolutional	convolutional	ADJ
ajst-23609	116	23	layers	layer	NOUN
ajst-23609	116	24	,	,	PUNCT
ajst-23609	116	25	5	5	NUM
ajst-23609	116	26	pooling	pool	VERB
ajst-23609	116	27	layers	layer	NOUN
ajst-23609	116	28	,	,	PUNCT
ajst-23609	116	29	and	and	CCONJ
ajst-23609	116	30	3	3	NUM
ajst-23609	116	31	fully	fully	ADV
ajst-23609	116	32	connected	connected	ADJ
ajst-23609	116	33	layers	layer	NOUN
ajst-23609	116	34	,	,	PUNCT
ajst-23609	116	35	and	and	CCONJ
ajst-23609	116	36	was	be	AUX
ajst-23609	116	37	tested	test	VERB
ajst-23609	116	38	on	on	ADP
ajst-23609	116	39	the	the	DET
ajst-23609	116	40	sdumla	sdumla	NOUN
ajst-23609	116	41	database	database	NOUN
ajst-23609	116	42	and	and	CCONJ
ajst-23609	116	43	other	other	ADJ
ajst-23609	116	44	datasets	dataset	NOUN
ajst-23609	116	45	.	.	PUNCT
ajst-23609	117	1	huang	huang	PROPN
ajst-23609	117	2	et	et	PROPN
ajst-23609	117	3	al	al	PROPN
ajst-23609	118	1	[	[	X
ajst-23609	118	2	41	41	NUM
ajst-23609	118	3	]	]	PUNCT
ajst-23609	118	4	proposed	propose	VERB
ajst-23609	118	5	a	a	DET
ajst-23609	118	6	model	model	NOUN
ajst-23609	118	7	based	base	VERB
ajst-23609	118	8	on	on	ADP
ajst-23609	118	9	vggnet-16	vggnet-16	PROPN
ajst-23609	118	10	called	call	VERB
ajst-23609	118	11	"	"	PUNCT
ajst-23609	118	12	deep	deep	ADJ
ajst-23609	118	13	vein	vein	NOUN
ajst-23609	118	14	"	"	PUNCT
ajst-23609	118	15	method	method	NOUN
ajst-23609	118	16	based	base	VERB
ajst-23609	118	17	on	on	ADP
ajst-23609	118	18	vgg	vgg	PROPN
ajst-23609	118	19	-	-	PUNCT
ajst-23609	118	20	net-16	net-16	NOUN
ajst-23609	118	21	using	use	VERB
ajst-23609	118	22	a	a	DET
ajst-23609	118	23	deep	deep	ADJ
ajst-23609	118	24	cnn	cnn	NOUN
ajst-23609	118	25	(	(	PUNCT
ajst-23609	118	26	d	d	ADJ
ajst-23609	118	27	-	-	PUNCT
ajst-23609	118	28	cnn)-based	cnn)-base	VERB
ajst-23609	118	29	architecture	architecture	NOUN
ajst-23609	118	30	for	for	ADP
ajst-23609	118	31	finger	finger	NOUN
ajst-23609	118	32	vein	vein	NOUN
ajst-23609	118	33	recognition	recognition	NOUN
ajst-23609	118	34	,	,	PUNCT
ajst-23609	118	35	which	which	PRON
ajst-23609	118	36	achieves	achieve	VERB
ajst-23609	118	37	model	model	NOUN
ajst-23609	118	38	simplification	simplification	NOUN
ajst-23609	118	39	by	by	ADP
ajst-23609	118	40	modifying	modify	VERB
ajst-23609	118	41	the	the	DET
ajst-23609	118	42	network	network	NOUN
ajst-23609	118	43	structure	structure	NOUN
ajst-23609	118	44	.	.	PUNCT
ajst-23609	119	1	qin	qin	PROPN
ajst-23609	119	2	et	et	PROPN
ajst-23609	119	3	al	al	PROPN
ajst-23609	120	1	[	[	X
ajst-23609	120	2	42	42	NUM
ajst-23609	120	3	]	]	PUNCT
ajst-23609	120	4	proposed	propose	VERB
ajst-23609	120	5	a	a	DET
ajst-23609	120	6	deep	deep	ADJ
ajst-23609	120	7	neural	neural	ADJ
ajst-23609	120	8	network	network	NOUN
ajst-23609	120	9	(	(	PUNCT
ajst-23609	120	10	dnn	dnn	PROPN
ajst-23609	120	11	)	)	PUNCT
ajst-23609	120	12	consisting	consist	VERB
ajst-23609	120	13	of	of	ADP
ajst-23609	120	14	three	three	NUM
ajst-23609	120	15	convolutional	convolutional	ADJ
ajst-23609	120	16	layers	layer	NOUN
ajst-23609	120	17	,	,	PUNCT
ajst-23609	120	18	three	three	NUM
ajst-23609	120	19	maximal	maximal	ADJ
ajst-23609	120	20	pooling	pool	VERB
ajst-23609	120	21	layers	layer	NOUN
ajst-23609	120	22	,	,	PUNCT
ajst-23609	120	23	two	two	NUM
ajst-23609	120	24	fully	fully	ADV
ajst-23609	120	25	-	-	PUNCT
ajst-23609	120	26	connected	connect	VERB
ajst-23609	120	27	layers	layer	NOUN
ajst-23609	120	28	,	,	PUNCT
ajst-23609	120	29	and	and	CCONJ
ajst-23609	120	30	a	a	DET
ajst-23609	120	31	soft	soft	ADJ
ajst-23609	120	32	-	-	PUNCT
ajst-23609	120	33	maximal	maximal	ADJ
ajst-23609	120	34	layer	layer	NOUN
ajst-23609	120	35	,	,	PUNCT
ajst-23609	120	36	which	which	PRON
ajst-23609	120	37	is	be	AUX
ajst-23609	120	38	capable	capable	ADJ
ajst-23609	120	39	of	of	ADP
ajst-23609	120	40	predicting	predict	VERB
ajst-23609	120	41	the	the	DET
ajst-23609	120	42	quality	quality	NOUN
ajst-23609	120	43	and	and	CCONJ
ajst-23609	120	44	labeling	labeling	NOUN
ajst-23609	120	45	of	of	ADP
ajst-23609	120	46	finger	finger	NOUN
ajst-23609	120	47	vein	vein	NOUN
ajst-23609	120	48	images	image	NOUN
ajst-23609	120	49	.	.	PUNCT
ajst-23609	121	1	vein	vein	VERB
ajst-23609	121	2	image	image	NOUN
ajst-23609	121	3	quality	quality	NOUN
ajst-23609	121	4	and	and	CCONJ
ajst-23609	121	5	perform	perform	VERB
ajst-23609	121	6	labeling	labeling	NOUN
ajst-23609	121	7	.	.	PUNCT
ajst-23609	122	1	a	a	DET
ajst-23609	122	2	finger	finger	NOUN
ajst-23609	122	3	vein	vein	VERB
ajst-23609	122	4	recognition	recognition	NOUN
ajst-23609	122	5	system	system	NOUN
ajst-23609	122	6	based	base	VERB
ajst-23609	122	7	on	on	ADP
ajst-23609	122	8	convolutional	convolutional	ADJ
ajst-23609	122	9	neural	neural	ADJ
ajst-23609	122	10	networks	network	NOUN
ajst-23609	122	11	was	be	AUX
ajst-23609	122	12	also	also	ADV
ajst-23609	122	13	proposed	propose	VERB
ajst-23609	122	14	in	in	ADP
ajst-23609	122	15	literature	literature	NOUN
ajst-23609	122	16	[	[	X
ajst-23609	122	17	43	43	NUM
ajst-23609	122	18	]	]	PUNCT
ajst-23609	122	19	,	,	PUNCT
ajst-23609	122	20	where	where	SCONJ
ajst-23609	122	21	the	the	DET
ajst-23609	122	22	network	network	NOUN
ajst-23609	122	23	performance	performance	NOUN
ajst-23609	122	24	was	be	AUX
ajst-23609	122	25	tested	test	VERB
ajst-23609	122	26	on	on	ADP
ajst-23609	122	27	four	four	NUM
ajst-23609	122	28	publicly	publicly	ADV
ajst-23609	122	29	available	available	ADJ
ajst-23609	122	30	databases	database	NOUN
ajst-23609	122	31	,	,	PUNCT
ajst-23609	122	32	achieving	achieve	VERB
ajst-23609	122	33	high	high	ADJ
ajst-23609	122	34	stability	stability	NOUN
ajst-23609	122	35	and	and	CCONJ
ajst-23609	122	36	accuracy	accuracy	NOUN
ajst-23609	122	37	on	on	ADP
ajst-23609	122	38	vein	vein	ADJ
ajst-23609	122	39	images	image	NOUN
ajst-23609	122	40	of	of	ADP
ajst-23609	122	41	different	different	ADJ
ajst-23609	122	42	qualities	quality	NOUN
ajst-23609	122	43	.	.	PUNCT
ajst-23609	123	1	in	in	ADP
ajst-23609	123	2	addition	addition	NOUN
ajst-23609	123	3	to	to	ADP
ajst-23609	123	4	the	the	DET
ajst-23609	123	5	traditional	traditional	ADJ
ajst-23609	123	6	cnn	cnn	PROPN
ajst-23609	123	7	model	model	NOUN
ajst-23609	123	8	,	,	PUNCT
ajst-23609	123	9	there	there	PRON
ajst-23609	123	10	are	be	VERB
ajst-23609	123	11	many	many	ADJ
ajst-23609	123	12	variants	variant	NOUN
ajst-23609	123	13	of	of	ADP
ajst-23609	123	14	the	the	DET
ajst-23609	123	15	model	model	NOUN
ajst-23609	123	16	combining	combine	VERB
ajst-23609	123	17	cnns	cnn	NOUN
ajst-23609	123	18	that	that	PRON
ajst-23609	123	19	show	show	VERB
ajst-23609	123	20	better	well	ADJ
ajst-23609	123	21	results	result	NOUN
ajst-23609	123	22	.	.	PUNCT
ajst-23609	124	1	a	a	DET
ajst-23609	124	2	deep	deep	ADJ
ajst-23609	124	3	learning	learning	NOUN
ajst-23609	124	4	model	model	NOUN
ajst-23609	124	5	combining	combine	VERB
ajst-23609	124	6	cnn	cnn	PROPN
ajst-23609	124	7	model	model	NOUN
ajst-23609	124	8	and	and	CCONJ
ajst-23609	124	9	long	long	ADJ
ajst-23609	124	10	short	short	ADJ
ajst-23609	124	11	-	-	PUNCT
ajst-23609	124	12	term	term	NOUN
ajst-23609	124	13	memory	memory	NOUN
ajst-23609	124	14	(	(	PUNCT
ajst-23609	124	15	lstm	lstm	NOUN
ajst-23609	124	16	)	)	PUNCT
ajst-23609	124	17	model	model	NOUN
ajst-23609	124	18	for	for	ADP
ajst-23609	124	19	extracting	extract	VERB
ajst-23609	124	20	vein	vein	ADJ
ajst-23609	124	21	features	feature	NOUN
ajst-23609	124	22	was	be	AUX
ajst-23609	124	23	proposed	propose	VERB
ajst-23609	124	24	in	in	ADP
ajst-23609	124	25	literature	literature	NOUN
ajst-23609	124	26	[	[	X
ajst-23609	124	27	44	44	NUM
ajst-23609	124	28	]	]	PUNCT
ajst-23609	124	29	.	.	PUNCT
ajst-23609	125	1	devkot	devkot	PROPN
ajst-23609	125	2	et	et	PROPN
ajst-23609	125	3	al	al	PROPN
ajst-23609	126	1	[	[	X
ajst-23609	126	2	45	45	NUM
ajst-23609	126	3	]	]	PUNCT
ajst-23609	126	4	proposed	propose	VERB
ajst-23609	126	5	an	an	DET
ajst-23609	126	6	improved	improved	ADJ
ajst-23609	126	7	lightweight	lightweight	ADJ
ajst-23609	126	8	convolutional	convolutional	ADJ
ajst-23609	126	9	neural	neural	ADJ
ajst-23609	126	10	network	network	NOUN
ajst-23609	126	11	(	(	PUNCT
ajst-23609	126	12	ilcnn	ilcnn	PROPN
ajst-23609	126	13	)	)	PUNCT
ajst-23609	126	14	for	for	ADP
ajst-23609	126	15	finger	finger	NOUN
ajst-23609	126	16	vein	vein	NOUN
ajst-23609	126	17	recognition	recognition	NOUN
ajst-23609	126	18	which	which	PRON
ajst-23609	126	19	combines	combine	VERB
ajst-23609	126	20	diverse	diverse	ADJ
ajst-23609	126	21	branch	branch	NOUN
ajst-23609	126	22	block	block	NOUN
ajst-23609	126	23	(	(	PUNCT
ajst-23609	126	24	dbb	dbb	PROPN
ajst-23609	126	25	)	)	PUNCT
ajst-23609	126	26	,	,	PUNCT
ajst-23609	126	27	adaptive	adaptive	ADJ
ajst-23609	126	28	polyphase	polyphase	NOUN
ajst-23609	126	29	sampling	sample	VERB
ajst-23609	126	30	(	(	PUNCT
ajst-23609	126	31	aps	ap	NOUN
ajst-23609	126	32	)	)	PUNCT
ajst-23609	126	33	and	and	CCONJ
ajst-23609	126	34	coordinate	coordinate	VERB
ajst-23609	126	35	attention	attention	NOUN
ajst-23609	126	36	mechanism	mechanism	NOUN
ajst-23609	126	37	(	(	PUNCT
ajst-23609	126	38	coam	coam	PROPN
ajst-23609	126	39	)	)	PUNCT
ajst-23609	126	40	to	to	PART
ajst-23609	126	41	improve	improve	VERB
ajst-23609	126	42	performance	performance	NOUN
ajst-23609	126	43	.	.	PUNCT
ajst-23609	127	1	in	in	ADP
ajst-23609	127	2	addition	addition	NOUN
ajst-23609	127	3	,	,	PUNCT
ajst-23609	127	4	with	with	ADP
ajst-23609	127	5	the	the	DET
ajst-23609	127	6	increased	increase	VERB
ajst-23609	127	7	use	use	NOUN
ajst-23609	127	8	of	of	ADP
ajst-23609	127	9	transformer	transformer	ADJ
ajst-23609	127	10	architecture	architecture	NOUN
ajst-23609	127	11	in	in	ADP
ajst-23609	127	12	computer	computer	NOUN
ajst-23609	127	13	vision	vision	NOUN
ajst-23609	127	14	,	,	PUNCT
ajst-23609	127	15	many	many	ADJ
ajst-23609	127	16	researchers	researcher	NOUN
ajst-23609	127	17	have	have	AUX
ajst-23609	127	18	started	start	VERB
ajst-23609	127	19	to	to	PART
ajst-23609	127	20	use	use	VERB
ajst-23609	127	21	transformer	transformer	NOUN
ajst-23609	127	22	for	for	ADP
ajst-23609	127	23	vein	vein	ADJ
ajst-23609	127	24	recognition	recognition	NOUN
ajst-23609	127	25	.	.	PUNCT
ajst-23609	128	1	in	in	ADP
ajst-23609	128	2	the	the	DET
ajst-23609	128	3	literature	literature	NOUN
ajst-23609	128	4	[	[	X
ajst-23609	128	5	46	46	NUM
ajst-23609	128	6	]	]	X
ajst-23609	128	7	,	,	PUNCT
ajst-23609	128	8	a	a	DET
ajst-23609	128	9	data	data	NOUN
ajst-23609	128	10	enhancement	enhancement	NOUN
ajst-23609	128	11	strategy	strategy	NOUN
ajst-23609	128	12	using	use	VERB
ajst-23609	128	13	a	a	DET
ajst-23609	128	14	random	random	ADJ
ajst-23609	128	15	sliding	slide	VERB
ajst-23609	128	16	window	window	NOUN
ajst-23609	128	17	was	be	AUX
ajst-23609	128	18	designed	design	VERB
ajst-23609	128	19	to	to	PART
ajst-23609	128	20	mitigate	mitigate	VERB
ajst-23609	128	21	the	the	DET
ajst-23609	128	22	problem	problem	NOUN
ajst-23609	128	23	of	of	ADP
ajst-23609	128	24	finger	finger	NOUN
ajst-23609	128	25	pose	pose	VERB
ajst-23609	128	26	variation	variation	NOUN
ajst-23609	128	27	.	.	PUNCT
ajst-23609	129	1	meanwhile	meanwhile	ADV
ajst-23609	129	2	,	,	PUNCT
ajst-23609	129	3	a	a	DET
ajst-23609	129	4	lightweight	lightweight	ADJ
ajst-23609	129	5	transformer	transformer	NOUN
ajst-23609	129	6	-	-	PUNCT
ajst-23609	129	7	based	base	VERB
ajst-23609	129	8	finger	finger	NOUN
ajst-23609	129	9	vein	vein	VERB
ajst-23609	129	10	feature	feature	NOUN
ajst-23609	129	11	extraction	extraction	NOUN
ajst-23609	129	12	model	model	NOUN
ajst-23609	129	13	was	be	AUX
ajst-23609	129	14	proposed	propose	VERB
ajst-23609	129	15	to	to	PART
ajst-23609	129	16	improve	improve	VERB
ajst-23609	129	17	the	the	DET
ajst-23609	129	18	recognition	recognition	NOUN
ajst-23609	129	19	efficiency	efficiency	NOUN
ajst-23609	129	20	.	.	PUNCT
ajst-23609	130	1	qin	qin	PROPN
ajst-23609	130	2	et	et	PROPN
ajst-23609	130	3	al	al	PROPN
ajst-23609	131	1	[	[	X
ajst-23609	131	2	47	47	NUM
ajst-23609	131	3	]	]	PUNCT
ajst-23609	131	4	proposed	propose	VERB
ajst-23609	131	5	an	an	DET
ajst-23609	131	6	interactive	interactive	ADJ
ajst-23609	131	7	vein	vein	NOUN
ajst-23609	131	8	transformer	transformer	NOUN
ajst-23609	131	9	(	(	PUNCT
ajst-23609	131	10	ivt	ivt	NOUN
ajst-23609	131	11	)	)	PUNCT
ajst-23609	131	12	consisting	consist	VERB
ajst-23609	131	13	of	of	ADP
ajst-23609	131	14	three	three	NUM
ajst-23609	131	15	branches	branch	NOUN
ajst-23609	131	16	,	,	PUNCT
ajst-23609	131	17	namely	namely	ADV
ajst-23609	131	18	spatial	spatial	ADJ
ajst-23609	131	19	attention	attention	NOUN
ajst-23609	131	20	,	,	PUNCT
ajst-23609	131	21	channel	channel	NOUN
ajst-23609	131	22	attention	attention	NOUN
ajst-23609	131	23	,	,	PUNCT
ajst-23609	131	24	and	and	CCONJ
ajst-23609	131	25	convolutional	convolutional	ADJ
ajst-23609	131	26	module	module	NOUN
ajst-23609	131	27	for	for	ADP
ajst-23609	131	28	extracting	extract	VERB
ajst-23609	131	29	vein	vein	ADJ
ajst-23609	131	30	features	feature	NOUN
ajst-23609	131	31	.	.	PUNCT
ajst-23609	132	1	5	5	X
ajst-23609	132	2	.	.	X
ajst-23609	132	3	evaluation	evaluation	NOUN
ajst-23609	132	4	indicators	indicator	NOUN
ajst-23609	132	5	finger	finger	VERB
ajst-23609	132	6	vein	vein	VERB
ajst-23609	132	7	recognition	recognition	NOUN
ajst-23609	132	8	system	system	NOUN
ajst-23609	132	9	commonly	commonly	ADV
ajst-23609	132	10	used	use	VERB
ajst-23609	132	11	evaluation	evaluation	NOUN
ajst-23609	132	12	indexes	index	NOUN
ajst-23609	132	13	are	be	AUX
ajst-23609	132	14	false	false	ADJ
ajst-23609	132	15	accept	accept	NOUN
ajst-23609	132	16	rate	rate	NOUN
ajst-23609	132	17	(	(	PUNCT
ajst-23609	132	18	far	far	ADV
ajst-23609	132	19	)	)	PUNCT
ajst-23609	132	20	,	,	PUNCT
ajst-23609	132	21	false	false	ADJ
ajst-23609	132	22	reject	reject	NOUN
ajst-23609	132	23	rate	rate	NOUN
ajst-23609	132	24	(	(	PUNCT
ajst-23609	132	25	frr	frr	PROPN
ajst-23609	132	26	)	)	PUNCT
ajst-23609	132	27	,	,	PUNCT
ajst-23609	132	28	equal	equal	ADJ
ajst-23609	132	29	error	error	NOUN
ajst-23609	132	30	rate	rate	NOUN
ajst-23609	132	31	(	(	PUNCT
ajst-23609	132	32	eer	eer	PROPN
ajst-23609	132	33	)	)	PUNCT
ajst-23609	132	34	,	,	PUNCT
ajst-23609	132	35	accuracy	accuracy	NOUN
ajst-23609	132	36	,	,	PUNCT
ajst-23609	132	37	etc	etc	X
ajst-23609	132	38	.	.	X
ajst-23609	132	39	,	,	PUNCT
ajst-23609	132	40	and	and	CCONJ
ajst-23609	132	41	roc	roc	PROPN
ajst-23609	132	42	(	(	PUNCT
ajst-23609	132	43	receiver	receiver	NOUN
ajst-23609	132	44	operator	operator	NOUN
ajst-23609	132	45	characteristic	characteristic	ADJ
ajst-23609	132	46	curve	curve	NOUN
ajst-23609	132	47	)	)	PUNCT
ajst-23609	132	48	curve	curve	NOUN
ajst-23609	132	49	visualization	visualization	NOUN
ajst-23609	132	50	algorithm	algorithm	NOUN
ajst-23609	132	51	performance	performance	NOUN
ajst-23609	132	52	.	.	PUNCT
ajst-23609	133	1	the	the	DET
ajst-23609	133	2	following	follow	VERB
ajst-23609	133	3	lists	list	VERB
ajst-23609	133	4	the	the	DET
ajst-23609	133	5	assessment	assessment	NOUN
ajst-23609	133	6	matrices	matrix	NOUN
ajst-23609	133	7	used	use	VERB
ajst-23609	133	8	to	to	PART
ajst-23609	133	9	evaluate	evaluate	VERB
ajst-23609	133	10	the	the	DET
ajst-23609	133	11	indicators	indicator	NOUN
ajst-23609	133	12	,	,	PUNCT
ajst-23609	133	13	as	as	ADV
ajst-23609	133	14	well	well	ADV
ajst-23609	133	15	as	as	ADP
ajst-23609	133	16	the	the	DET
ajst-23609	133	17	common	common	ADJ
ajst-23609	133	18	terms	term	NOUN
ajst-23609	133	19	used	use	VERB
ajst-23609	133	20	to	to	PART
ajst-23609	133	21	define	define	VERB
ajst-23609	133	22	these	these	DET
ajst-23609	133	23	matrices	matrix	NOUN
ajst-23609	133	24	:	:	PUNCT
ajst-23609	133	25	tp	tp	X
ajst-23609	133	26	(	(	PUNCT
ajst-23609	133	27	true	true	ADJ
ajst-23609	133	28	positive	positive	ADJ
ajst-23609	133	29	the	the	DET
ajst-23609	133	30	number	number	NOUN
ajst-23609	133	31	of	of	ADP
ajst-23609	133	32	correctly	correctly	ADV
ajst-23609	133	33	identified	identify	VERB
ajst-23609	133	34	users	user	NOUN
ajst-23609	133	35	)	)	PUNCT
ajst-23609	133	36	,	,	PUNCT
ajst-23609	133	37	tn	tn	PROPN
ajst-23609	134	1	(	(	PUNCT
ajst-23609	134	2	true	true	ADJ
ajst-23609	134	3	negative	negative	ADJ
ajst-23609	134	4	the	the	DET
ajst-23609	134	5	number	number	NOUN
ajst-23609	134	6	of	of	ADP
ajst-23609	134	7	correctly	correctly	ADV
ajst-23609	134	8	identified	identify	VERB
ajst-23609	134	9	non	non	NOUN
ajst-23609	134	10	-	-	NOUN
ajst-23609	134	11	users	user	NOUN
ajst-23609	134	12	)	)	PUNCT
ajst-23609	134	13	,	,	PUNCT
ajst-23609	134	14	fp	fp	INTJ
ajst-23609	134	15	(	(	PUNCT
ajst-23609	134	16	false	false	ADJ
ajst-23609	134	17	positive	positive	ADJ
ajst-23609	134	18	the	the	DET
ajst-23609	134	19	number	number	NOUN
ajst-23609	134	20	of	of	ADP
ajst-23609	134	21	incorrectly	incorrectly	ADV
ajst-23609	134	22	identified	identify	VERB
ajst-23609	134	23	users	user	NOUN
ajst-23609	134	24	)	)	PUNCT
ajst-23609	134	25	and	and	CCONJ
ajst-23609	134	26	fn	fn	INTJ
ajst-23609	134	27	(	(	PUNCT
ajst-23609	134	28	false	false	ADJ
ajst-23609	134	29	negative	negative	ADJ
ajst-23609	134	30	the	the	DET
ajst-23609	134	31	number	number	NOUN
ajst-23609	134	32	of	of	ADP
ajst-23609	134	33	incorrectly	incorrectly	ADV
ajst-23609	134	34	identified	identify	VERB
ajst-23609	134	35	non	non	ADJ
ajst-23609	134	36	-	-	NOUN
ajst-23609	134	37	users	user	NOUN
ajst-23609	134	38	)	)	PUNCT
ajst-23609	134	39	.	.	PUNCT
ajst-23609	135	1	(	(	PUNCT
ajst-23609	135	2	1	1	X
ajst-23609	135	3	)	)	PUNCT
ajst-23609	135	4	false	false	ADJ
ajst-23609	135	5	accept	accept	NOUN
ajst-23609	135	6	rate	rate	NOUN
ajst-23609	135	7	(	(	PUNCT
ajst-23609	135	8	far	far	ADV
ajst-23609	135	9	):	):	PUNCT
ajst-23609	135	10	the	the	DET
ajst-23609	135	11	percentage	percentage	NOUN
ajst-23609	135	12	of	of	ADP
ajst-23609	135	13	users	user	NOUN
ajst-23609	135	14	who	who	PRON
ajst-23609	135	15	are	be	AUX
ajst-23609	135	16	not	not	PART
ajst-23609	135	17	authorized	authorize	VERB
ajst-23609	135	18	but	but	CCONJ
ajst-23609	135	19	are	be	AUX
ajst-23609	135	20	mistaken	mistaken	ADJ
ajst-23609	135	21	for	for	ADP
ajst-23609	135	22	valid	valid	ADJ
ajst-23609	135	23	users	user	NOUN
ajst-23609	135	24	.	.	PUNCT
ajst-23609	136	1	the	the	DET
ajst-23609	136	2	far	far	ADV
ajst-23609	136	3	is	be	AUX
ajst-23609	136	4	calculated	calculate	VERB
ajst-23609	136	5	using	use	VERB
ajst-23609	136	6	the	the	DET
ajst-23609	136	7	following	follow	VERB
ajst-23609	136	8	formula	formula	NOUN
ajst-23609	136	9	:	:	PUNCT
ajst-23609	136	10	far	far	ADV
ajst-23609	136	11	(	(	PUNCT
ajst-23609	136	12	2	2	NUM
ajst-23609	136	13	)	)	PUNCT
ajst-23609	136	14	false	false	ADJ
ajst-23609	136	15	reject	reject	NOUN
ajst-23609	136	16	rate	rate	NOUN
ajst-23609	136	17	(	(	PUNCT
ajst-23609	136	18	frr	frr	PROPN
ajst-23609	136	19	):	):	PUNCT
ajst-23609	136	20	the	the	DET
ajst-23609	136	21	percentage	percentage	NOUN
ajst-23609	136	22	of	of	ADP
ajst-23609	136	23	users	user	NOUN
ajst-23609	136	24	who	who	PRON
ajst-23609	136	25	have	have	AUX
ajst-23609	136	26	been	be	AUX
ajst-23609	136	27	authorized	authorize	VERB
ajst-23609	136	28	but	but	CCONJ
ajst-23609	136	29	incorrectly	incorrectly	ADV
ajst-23609	136	30	rejected	reject	VERB
ajst-23609	136	31	as	as	ADP
ajst-23609	136	32	invalid	invalid	ADJ
ajst-23609	136	33	users	user	NOUN
ajst-23609	136	34	.	.	PUNCT
ajst-23609	137	1	the	the	DET
ajst-23609	137	2	formula	formula	NOUN
ajst-23609	137	3	for	for	ADP
ajst-23609	137	4	calculating	calculate	VERB
ajst-23609	137	5	frr	frr	PROPN
ajst-23609	137	6	is	be	AUX
ajst-23609	137	7	as	as	SCONJ
ajst-23609	137	8	follows	follow	VERB
ajst-23609	137	9	:	:	PUNCT
ajst-23609	137	10	frr	frr	PROPN
ajst-23609	137	11	(	(	PUNCT
ajst-23609	137	12	3	3	NUM
ajst-23609	137	13	)	)	PUNCT
ajst-23609	137	14	equal	equal	ADJ
ajst-23609	137	15	error	error	NOUN
ajst-23609	137	16	rate	rate	NOUN
ajst-23609	137	17	eer	eer	NOUN
ajst-23609	137	18	:	:	PUNCT
ajst-23609	137	19	eer	eer	PROPN
ajst-23609	137	20	is	be	AUX
ajst-23609	137	21	the	the	DET
ajst-23609	137	22	equilibrium	equilibrium	NOUN
ajst-23609	137	23	point	point	NOUN
ajst-23609	137	24	of	of	ADP
ajst-23609	137	25	far	far	ADV
ajst-23609	137	26	=	=	ADJ
ajst-23609	137	27	frr	frr	NOUN
ajst-23609	137	28	in	in	ADP
ajst-23609	137	29	the	the	DET
ajst-23609	137	30	far	far	ADV
ajst-23609	137	31	-	-	PUNCT
ajst-23609	137	32	frr	frr	NOUN
ajst-23609	137	33	curve	curve	NOUN
ajst-23609	137	34	,	,	PUNCT
ajst-23609	137	35	the	the	PRON
ajst-23609	137	36	smaller	small	ADJ
ajst-23609	137	37	the	the	DET
ajst-23609	137	38	err	err	NOUN
ajst-23609	137	39	,	,	PUNCT
ajst-23609	137	40	the	the	PRON
ajst-23609	137	41	better	well	ADJ
ajst-23609	137	42	the	the	DET
ajst-23609	137	43	performance	performance	NOUN
ajst-23609	137	44	of	of	ADP
ajst-23609	137	45	the	the	DET
ajst-23609	137	46	algorithm	algorithm	NOUN
ajst-23609	137	47	.	.	PUNCT
ajst-23609	138	1	the	the	DET
ajst-23609	138	2	formula	formula	NOUN
ajst-23609	138	3	for	for	ADP
ajst-23609	138	4	eer	eer	PROPN
ajst-23609	138	5	134	134	NUM
ajst-23609	138	6	is	be	AUX
ajst-23609	138	7	as	as	SCONJ
ajst-23609	138	8	follows	follow	VERB
ajst-23609	138	9	:	:	PUNCT
ajst-23609	138	10	err	err	NOUN
ajst-23609	138	11	mean（far	mean（far	ADV
ajst-23609	138	12	，	，	PUNCT
ajst-23609	138	13	frr	frr	PROPN
ajst-23609	138	14	）	）	PROPN
ajst-23609	138	15	(	(	PUNCT
ajst-23609	138	16	4	4	X
ajst-23609	138	17	)	)	PUNCT
ajst-23609	138	18	accuracy	accuracy	NOUN
ajst-23609	138	19	:	:	PUNCT
ajst-23609	138	20	the	the	DET
ajst-23609	138	21	number	number	NOUN
ajst-23609	138	22	of	of	ADP
ajst-23609	138	23	correct	correct	ADJ
ajst-23609	138	24	predictions	prediction	NOUN
ajst-23609	138	25	calculated	calculate	VERB
ajst-23609	138	26	by	by	ADP
ajst-23609	138	27	the	the	DET
ajst-23609	138	28	classification	classification	NOUN
ajst-23609	138	29	model	model	NOUN
ajst-23609	138	30	.	.	PUNCT
ajst-23609	139	1	the	the	DET
ajst-23609	139	2	formula	formula	NOUN
ajst-23609	139	3	for	for	ADP
ajst-23609	139	4	calculating	calculate	VERB
ajst-23609	139	5	the	the	DET
ajst-23609	139	6	accuracy	accuracy	NOUN
ajst-23609	139	7	is	be	AUX
ajst-23609	139	8	as	as	SCONJ
ajst-23609	139	9	follows	follow	VERB
ajst-23609	139	10	:	:	PUNCT
ajst-23609	139	11	accuracy	accuracy	NOUN
ajst-23609	139	12	(	(	PUNCT
ajst-23609	139	13	5	5	NUM
ajst-23609	139	14	)	)	PUNCT
ajst-23609	139	15	the	the	DET
ajst-23609	139	16	roc	roc	PROPN
ajst-23609	139	17	(	(	PUNCT
ajst-23609	139	18	receiver	receiver	ADV
ajst-23609	139	19	operating	operate	VERB
ajst-23609	139	20	characteristic	characteristic	NOUN
ajst-23609	139	21	)	)	PUNCT
ajst-23609	139	22	curve	curve	NOUN
ajst-23609	139	23	is	be	AUX
ajst-23609	139	24	a	a	DET
ajst-23609	139	25	commonly	commonly	ADV
ajst-23609	139	26	used	use	VERB
ajst-23609	139	27	metric	metric	NOUN
ajst-23609	139	28	for	for	ADP
ajst-23609	139	29	evaluating	evaluate	VERB
ajst-23609	139	30	the	the	DET
ajst-23609	139	31	performance	performance	NOUN
ajst-23609	139	32	of	of	ADP
ajst-23609	139	33	a	a	DET
ajst-23609	139	34	system	system	NOUN
ajst-23609	139	35	's	's	PART
ajst-23609	139	36	matching	matching	NOUN
ajst-23609	139	37	algorithm	algorithm	NOUN
ajst-23609	139	38	.	.	PUNCT
ajst-23609	140	1	in	in	ADP
ajst-23609	140	2	the	the	DET
ajst-23609	140	3	field	field	NOUN
ajst-23609	140	4	of	of	ADP
ajst-23609	140	5	finger	finger	NOUN
ajst-23609	140	6	vein	vein	NOUN
ajst-23609	140	7	recognition	recognition	NOUN
ajst-23609	140	8	,	,	PUNCT
ajst-23609	140	9	a	a	DET
ajst-23609	140	10	commonly	commonly	ADV
ajst-23609	140	11	used	use	VERB
ajst-23609	140	12	roc	roc	PROPN
ajst-23609	140	13	curve	curve	NOUN
ajst-23609	140	14	is	be	AUX
ajst-23609	140	15	the	the	DET
ajst-23609	140	16	far	far	ADV
ajst-23609	140	17	-	-	PUNCT
ajst-23609	140	18	frr	frr	NOUN
ajst-23609	140	19	curve	curve	NOUN
ajst-23609	140	20	.	.	PUNCT
ajst-23609	141	1	this	this	DET
ajst-23609	141	2	curve	curve	NOUN
ajst-23609	141	3	demonstrates	demonstrate	VERB
ajst-23609	141	4	the	the	DET
ajst-23609	141	5	relationship	relationship	NOUN
ajst-23609	141	6	between	between	ADP
ajst-23609	141	7	the	the	DET
ajst-23609	141	8	false	false	ADJ
ajst-23609	141	9	accept	accept	NOUN
ajst-23609	141	10	rate	rate	NOUN
ajst-23609	141	11	(	(	PUNCT
ajst-23609	141	12	far	far	ADV
ajst-23609	141	13	)	)	PUNCT
ajst-23609	141	14	and	and	CCONJ
ajst-23609	141	15	the	the	DET
ajst-23609	141	16	false	false	ADJ
ajst-23609	141	17	reject	reject	NOUN
ajst-23609	141	18	rate	rate	NOUN
ajst-23609	141	19	(	(	PUNCT
ajst-23609	141	20	frr	frr	PROPN
ajst-23609	141	21	)	)	PUNCT
ajst-23609	141	22	with	with	ADP
ajst-23609	141	23	the	the	DET
ajst-23609	141	24	change	change	NOUN
ajst-23609	141	25	of	of	ADP
ajst-23609	141	26	matching	match	VERB
ajst-23609	141	27	score	score	NOUN
ajst-23609	141	28	thresholds	threshold	NOUN
ajst-23609	141	29	,	,	PUNCT
ajst-23609	141	30	thus	thus	ADV
ajst-23609	141	31	reflecting	reflect	VERB
ajst-23609	141	32	the	the	DET
ajst-23609	141	33	equilibrium	equilibrium	NOUN
ajst-23609	141	34	relationship	relationship	NOUN
ajst-23609	141	35	between	between	ADP
ajst-23609	141	36	the	the	DET
ajst-23609	141	37	frr	frr	NOUN
ajst-23609	141	38	and	and	CCONJ
ajst-23609	141	39	far	far	ADV
ajst-23609	141	40	of	of	ADP
ajst-23609	141	41	the	the	DET
ajst-23609	141	42	recognition	recognition	NOUN
ajst-23609	141	43	algorithm	algorithm	NOUN
ajst-23609	141	44	at	at	ADP
ajst-23609	141	45	different	different	ADJ
ajst-23609	141	46	thresholds	threshold	NOUN
ajst-23609	141	47	.	.	PUNCT
ajst-23609	142	1	the	the	DET
ajst-23609	142	2	schematic	schematic	ADJ
ajst-23609	142	3	diagram	diagram	NOUN
ajst-23609	142	4	of	of	ADP
ajst-23609	142	5	the	the	DET
ajst-23609	142	6	roc	roc	PROPN
ajst-23609	142	7	curve	curve	NOUN
ajst-23609	142	8	is	be	AUX
ajst-23609	142	9	shown	show	VERB
ajst-23609	142	10	below	below	ADV
ajst-23609	142	11	.	.	PUNCT
ajst-23609	143	1	figure	figure	VERB
ajst-23609	143	2	3	3	NUM
ajst-23609	143	3	.	.	PUNCT
ajst-23609	144	1	roc	roc	PROPN
ajst-23609	144	2	curve	curve	PROPN
ajst-23609	144	3	6	6	NUM
ajst-23609	144	4	.	.	PUNCT
ajst-23609	145	1	summarizing	summarize	VERB
ajst-23609	145	2	and	and	CCONJ
ajst-23609	145	3	looking	look	VERB
ajst-23609	145	4	forward	forward	ADV
ajst-23609	145	5	this	this	DET
ajst-23609	145	6	paper	paper	NOUN
ajst-23609	145	7	reviews	review	VERB
ajst-23609	145	8	the	the	DET
ajst-23609	145	9	previous	previous	ADJ
ajst-23609	145	10	related	related	ADJ
ajst-23609	145	11	literature	literature	NOUN
ajst-23609	145	12	on	on	ADP
ajst-23609	145	13	vein	vein	ADJ
ajst-23609	145	14	recognition	recognition	NOUN
ajst-23609	145	15	and	and	CCONJ
ajst-23609	145	16	provides	provide	VERB
ajst-23609	145	17	an	an	DET
ajst-23609	145	18	overview	overview	NOUN
ajst-23609	145	19	of	of	ADP
ajst-23609	145	20	feature	feature	NOUN
ajst-23609	145	21	extraction	extraction	NOUN
ajst-23609	145	22	research	research	NOUN
ajst-23609	145	23	for	for	ADP
ajst-23609	145	24	finger	finger	NOUN
ajst-23609	145	25	vein	vein	NOUN
ajst-23609	145	26	recognition	recognition	NOUN
ajst-23609	145	27	.	.	PUNCT
ajst-23609	146	1	the	the	DET
ajst-23609	146	2	relevant	relevant	ADJ
ajst-23609	146	3	techniques	technique	NOUN
ajst-23609	146	4	and	and	CCONJ
ajst-23609	146	5	processes	process	NOUN
ajst-23609	146	6	of	of	ADP
ajst-23609	146	7	finger	finger	NOUN
ajst-23609	146	8	vein	vein	NOUN
ajst-23609	146	9	recognition	recognition	NOUN
ajst-23609	146	10	are	be	AUX
ajst-23609	146	11	introduced	introduce	VERB
ajst-23609	146	12	,	,	PUNCT
ajst-23609	146	13	and	and	CCONJ
ajst-23609	146	14	the	the	DET
ajst-23609	146	15	commonly	commonly	ADV
ajst-23609	146	16	used	use	VERB
ajst-23609	146	17	datasets	dataset	NOUN
ajst-23609	146	18	at	at	ADP
ajst-23609	146	19	home	home	NOUN
ajst-23609	146	20	and	and	CCONJ
ajst-23609	146	21	abroad	abroad	ADV
ajst-23609	146	22	are	be	AUX
ajst-23609	146	23	organized	organize	VERB
ajst-23609	146	24	and	and	CCONJ
ajst-23609	146	25	summarized	summarize	VERB
ajst-23609	146	26	.	.	PUNCT
ajst-23609	147	1	under	under	ADP
ajst-23609	147	2	the	the	DET
ajst-23609	147	3	framework	framework	NOUN
ajst-23609	147	4	of	of	ADP
ajst-23609	147	5	deep	deep	ADJ
ajst-23609	147	6	learning	learning	NOUN
ajst-23609	147	7	,	,	PUNCT
ajst-23609	147	8	relevant	relevant	ADJ
ajst-23609	147	9	feature	feature	NOUN
ajst-23609	147	10	extraction	extraction	NOUN
ajst-23609	147	11	algorithms	algorithm	NOUN
ajst-23609	147	12	are	be	AUX
ajst-23609	147	13	discussed	discuss	VERB
ajst-23609	147	14	in	in	ADP
ajst-23609	147	15	detail	detail	NOUN
ajst-23609	147	16	,	,	PUNCT
ajst-23609	147	17	and	and	CCONJ
ajst-23609	147	18	non	non	ADJ
ajst-23609	147	19	-	-	ADJ
ajst-23609	147	20	deep	deep	ADJ
ajst-23609	147	21	learning	learning	NOUN
ajst-23609	147	22	feature	feature	NOUN
ajst-23609	147	23	extraction	extraction	NOUN
ajst-23609	147	24	algorithms	algorithm	NOUN
ajst-23609	147	25	are	be	AUX
ajst-23609	147	26	categorized	categorize	VERB
ajst-23609	147	27	into	into	ADP
ajst-23609	147	28	texture	texture	ADJ
ajst-23609	147	29	features	feature	NOUN
ajst-23609	147	30	,	,	PUNCT
ajst-23609	147	31	texture	texture	NOUN
ajst-23609	147	32	features	feature	NOUN
ajst-23609	147	33	,	,	PUNCT
ajst-23609	147	34	and	and	CCONJ
ajst-23609	147	35	detail	detail	NOUN
ajst-23609	147	36	point	point	NOUN
ajst-23609	147	37	features	feature	NOUN
ajst-23609	147	38	,	,	PUNCT
ajst-23609	147	39	and	and	CCONJ
ajst-23609	147	40	the	the	DET
ajst-23609	147	41	applications	application	NOUN
ajst-23609	147	42	after	after	SCONJ
ajst-23609	147	43	the	the	DET
ajst-23609	147	44	introduction	introduction	NOUN
ajst-23609	147	45	of	of	ADP
ajst-23609	147	46	deep	deep	ADJ
ajst-23609	147	47	learning	learning	NOUN
ajst-23609	147	48	are	be	AUX
ajst-23609	147	49	highlighted	highlight	VERB
ajst-23609	147	50	,	,	PUNCT
ajst-23609	147	51	including	include	VERB
ajst-23609	147	52	models	model	NOUN
ajst-23609	147	53	such	such	ADJ
ajst-23609	147	54	as	as	ADP
ajst-23609	147	55	cnn	cnn	PROPN
ajst-23609	147	56	,	,	PUNCT
ajst-23609	147	57	cnn	cnn	PROPN
ajst-23609	147	58	variants	variant	NOUN
ajst-23609	147	59	,	,	PUNCT
ajst-23609	147	60	and	and	CCONJ
ajst-23609	147	61	transformer	transformer	NOUN
ajst-23609	147	62	.	.	PUNCT
ajst-23609	148	1	finally	finally	ADV
ajst-23609	148	2	,	,	PUNCT
ajst-23609	148	3	the	the	DET
ajst-23609	148	4	evaluation	evaluation	NOUN
ajst-23609	148	5	indexes	index	NOUN
ajst-23609	148	6	commonly	commonly	ADV
ajst-23609	148	7	used	use	VERB
ajst-23609	148	8	in	in	ADP
ajst-23609	148	9	the	the	DET
ajst-23609	148	10	field	field	NOUN
ajst-23609	148	11	of	of	ADP
ajst-23609	148	12	finger	finger	NOUN
ajst-23609	148	13	vein	vein	NOUN
ajst-23609	148	14	recognition	recognition	NOUN
ajst-23609	148	15	are	be	AUX
ajst-23609	148	16	introduced	introduce	VERB
ajst-23609	148	17	.	.	PUNCT
ajst-23609	149	1	with	with	ADP
ajst-23609	149	2	the	the	DET
ajst-23609	149	3	continuous	continuous	ADJ
ajst-23609	149	4	development	development	NOUN
ajst-23609	149	5	of	of	ADP
ajst-23609	149	6	deep	deep	ADJ
ajst-23609	149	7	learning	learning	NOUN
ajst-23609	149	8	,	,	PUNCT
ajst-23609	149	9	a	a	DET
ajst-23609	149	10	variety	variety	NOUN
ajst-23609	149	11	of	of	ADP
ajst-23609	149	12	algorithms	algorithm	NOUN
ajst-23609	149	13	and	and	CCONJ
ajst-23609	149	14	models	model	NOUN
ajst-23609	149	15	have	have	AUX
ajst-23609	149	16	emerged	emerge	VERB
ajst-23609	149	17	in	in	ADP
ajst-23609	149	18	the	the	DET
ajst-23609	149	19	field	field	NOUN
ajst-23609	149	20	of	of	ADP
ajst-23609	149	21	image	image	NOUN
ajst-23609	149	22	processing	processing	NOUN
ajst-23609	149	23	,	,	PUNCT
ajst-23609	149	24	which	which	PRON
ajst-23609	149	25	provide	provide	VERB
ajst-23609	149	26	more	more	ADJ
ajst-23609	149	27	options	option	NOUN
ajst-23609	149	28	for	for	ADP
ajst-23609	149	29	finger	finger	NOUN
ajst-23609	149	30	vein	vein	NOUN
ajst-23609	149	31	recognition	recognition	NOUN
ajst-23609	149	32	and	and	CCONJ
ajst-23609	149	33	promote	promote	VERB
ajst-23609	149	34	the	the	DET
ajst-23609	149	35	progress	progress	NOUN
ajst-23609	149	36	of	of	ADP
ajst-23609	149	37	biometrics	biometric	NOUN
ajst-23609	149	38	.	.	PUNCT
ajst-23609	150	1	however	however	ADV
ajst-23609	150	2	,	,	PUNCT
ajst-23609	150	3	this	this	DET
ajst-23609	150	4	development	development	NOUN
ajst-23609	150	5	also	also	ADV
ajst-23609	150	6	faces	face	VERB
ajst-23609	150	7	some	some	DET
ajst-23609	150	8	challenges	challenge	NOUN
ajst-23609	150	9	.	.	PUNCT
ajst-23609	151	1	for	for	ADP
ajst-23609	151	2	example	example	NOUN
ajst-23609	151	3	,	,	PUNCT
ajst-23609	151	4	low	low	ADJ
ajst-23609	151	5	-	-	PUNCT
ajst-23609	151	6	quality	quality	NOUN
ajst-23609	151	7	images	image	NOUN
ajst-23609	151	8	are	be	AUX
ajst-23609	151	9	still	still	ADV
ajst-23609	151	10	an	an	DET
ajst-23609	151	11	important	important	ADJ
ajst-23609	151	12	limiting	limit	VERB
ajst-23609	151	13	factor	factor	NOUN
ajst-23609	151	14	for	for	ADP
ajst-23609	151	15	finger	finger	NOUN
ajst-23609	151	16	vein	vein	NOUN
ajst-23609	151	17	recognition	recognition	NOUN
ajst-23609	151	18	performance	performance	NOUN
ajst-23609	151	19	.	.	PUNCT
ajst-23609	152	1	in	in	ADP
ajst-23609	152	2	addition	addition	NOUN
ajst-23609	152	3	,	,	PUNCT
ajst-23609	152	4	the	the	DET
ajst-23609	152	5	limited	limited	ADJ
ajst-23609	152	6	number	number	NOUN
ajst-23609	152	7	of	of	ADP
ajst-23609	152	8	samples	sample	NOUN
ajst-23609	152	9	in	in	ADP
ajst-23609	152	10	publicly	publicly	ADV
ajst-23609	152	11	available	available	ADJ
ajst-23609	152	12	datasets	dataset	NOUN
ajst-23609	152	13	limits	limit	VERB
ajst-23609	152	14	the	the	DET
ajst-23609	152	15	application	application	NOUN
ajst-23609	152	16	of	of	ADP
ajst-23609	152	17	deep	deep	ADJ
ajst-23609	152	18	learning	learning	NOUN
ajst-23609	152	19	in	in	ADP
ajst-23609	152	20	finger	finger	NOUN
ajst-23609	152	21	vein	vein	NOUN
ajst-23609	152	22	recognition	recognition	NOUN
ajst-23609	152	23	.	.	PUNCT
ajst-23609	153	1	in	in	ADP
ajst-23609	153	2	addition	addition	NOUN
ajst-23609	153	3	,	,	PUNCT
ajst-23609	153	4	there	there	PRON
ajst-23609	153	5	is	be	VERB
ajst-23609	153	6	still	still	ADV
ajst-23609	153	7	relatively	relatively	ADV
ajst-23609	153	8	little	little	ADJ
ajst-23609	153	9	research	research	NOUN
ajst-23609	153	10	on	on	ADP
ajst-23609	153	11	the	the	DET
ajst-23609	153	12	fusion	fusion	NOUN
ajst-23609	153	13	of	of	ADP
ajst-23609	153	14	traditional	traditional	ADJ
ajst-23609	153	15	feature	feature	NOUN
ajst-23609	153	16	extraction	extraction	NOUN
ajst-23609	153	17	algorithms	algorithm	NOUN
ajst-23609	153	18	with	with	ADP
ajst-23609	153	19	deep	deep	ADJ
ajst-23609	153	20	learning	learning	NOUN
ajst-23609	153	21	.	.	PUNCT
ajst-23609	154	1	although	although	SCONJ
ajst-23609	154	2	finger	finger	NOUN
ajst-23609	154	3	vein	vein	NOUN
ajst-23609	154	4	recognition	recognition	NOUN
ajst-23609	154	5	has	have	AUX
ajst-23609	154	6	shown	show	VERB
ajst-23609	154	7	good	good	ADJ
ajst-23609	154	8	performance	performance	NOUN
ajst-23609	154	9	in	in	ADP
ajst-23609	154	10	research	research	NOUN
ajst-23609	154	11	,	,	PUNCT
ajst-23609	154	12	its	its	PRON
ajst-23609	154	13	application	application	NOUN
ajst-23609	154	14	scope	scope	NOUN
ajst-23609	154	15	is	be	AUX
ajst-23609	154	16	still	still	ADV
ajst-23609	154	17	relatively	relatively	ADV
ajst-23609	154	18	narrow	narrow	ADJ
ajst-23609	154	19	.	.	PUNCT
ajst-23609	155	1	in	in	ADP
ajst-23609	155	2	the	the	DET
ajst-23609	155	3	future	future	NOUN
ajst-23609	155	4	,	,	PUNCT
ajst-23609	155	5	finger	finger	NOUN
ajst-23609	155	6	vein	vein	ADJ
ajst-23609	155	7	recognition	recognition	NOUN
ajst-23609	155	8	feature	feature	NOUN
ajst-23609	155	9	extraction	extraction	NOUN
ajst-23609	155	10	needs	need	VERB
ajst-23609	155	11	higher	high	ADJ
ajst-23609	155	12	accuracy	accuracy	NOUN
ajst-23609	155	13	and	and	CCONJ
ajst-23609	155	14	rate	rate	NOUN
ajst-23609	155	15	.	.	PUNCT
ajst-23609	156	1	it	it	PRON
ajst-23609	156	2	also	also	ADV
ajst-23609	156	3	needs	need	VERB
ajst-23609	156	4	to	to	PART
ajst-23609	156	5	increase	increase	VERB
ajst-23609	156	6	its	its	PRON
ajst-23609	156	7	applicability	applicability	NOUN
ajst-23609	156	8	in	in	ADP
ajst-23609	156	9	different	different	ADJ
ajst-23609	156	10	application	application	NOUN
ajst-23609	156	11	scenarios	scenario	NOUN
ajst-23609	156	12	so	so	SCONJ
ajst-23609	156	13	as	as	SCONJ
ajst-23609	156	14	to	to	PART
ajst-23609	156	15	expand	expand	VERB
ajst-23609	156	16	its	its	PRON
ajst-23609	156	17	application	application	NOUN
ajst-23609	156	18	scope	scope	NOUN
ajst-23609	156	19	in	in	ADP
ajst-23609	156	20	the	the	DET
ajst-23609	156	21	market	market	NOUN
ajst-23609	156	22	.	.	PUNCT
ajst-23609	157	1	references	reference	NOUN
ajst-23609	157	2	[	[	X
ajst-23609	157	3	1	1	X
ajst-23609	157	4	]	]	X
ajst-23609	157	5	jain	jain	NOUN
ajst-23609	157	6	a	a	PRON
ajst-23609	157	7	,	,	PUNCT
ajst-23609	157	8	hong	hong	PROPN
ajst-23609	157	9	l	l	NOUN
ajst-23609	157	10	,	,	PUNCT
ajst-23609	157	11	pankanti	pankanti	PROPN
ajst-23609	157	12	s.	s.	PROPN
ajst-23609	157	13	biometric	biometric	PROPN
ajst-23609	157	14	identification[j	identification[j	PROPN
ajst-23609	157	15	]	]	PUNCT
ajst-23609	157	16	.	.	PUNCT
ajst-23609	158	1	communications	communication	NOUN
ajst-23609	158	2	of	of	ADP
ajst-23609	158	3	the	the	DET
ajst-23609	158	4	acm	acm	NOUN
ajst-23609	158	5	,	,	PUNCT
ajst-23609	158	6	2000	2000	NUM
ajst-23609	158	7	,	,	PUNCT
ajst-23609	158	8	43(2	43(2	NUM
ajst-23609	158	9	):	):	PUNCT
ajst-23609	158	10	90	90	NUM
ajst-23609	158	11	-	-	SYM
ajst-23609	158	12	98	98	NUM
ajst-23609	158	13	.	.	PUNCT
ajst-23609	159	1	[	[	X
ajst-23609	159	2	2	2	X
ajst-23609	159	3	]	]	PUNCT
ajst-23609	159	4	daugman	daugman	PROPN
ajst-23609	159	5	j.	j.	PROPN
ajst-23609	159	6	how	how	SCONJ
ajst-23609	159	7	iris	iris	NOUN
ajst-23609	159	8	recognition	recognition	NOUN
ajst-23609	159	9	works[m]//the	works[m]//the	PROPN
ajst-23609	159	10	essential	essential	ADJ
ajst-23609	159	11	guide	guide	NOUN
ajst-23609	159	12	to	to	ADP
ajst-23609	159	13	image	image	NOUN
ajst-23609	159	14	processing	processing	NOUN
ajst-23609	159	15	.	.	PUNCT
ajst-23609	160	1	academic	academic	ADJ
ajst-23609	160	2	press	press	NOUN
ajst-23609	160	3	,	,	PUNCT
ajst-23609	160	4	2009	2009	NUM
ajst-23609	160	5	:	:	PUNCT
ajst-23609	160	6	715	715	NUM
ajst-23609	160	7	-	-	SYM
ajst-23609	160	8	739	739	NUM
ajst-23609	160	9	.	.	PUNCT
ajst-23609	161	1	[	[	X
ajst-23609	161	2	3	3	X
ajst-23609	161	3	]	]	X
ajst-23609	161	4	kong	kong	PROPN
ajst-23609	161	5	a	a	X
ajst-23609	161	6	,	,	PUNCT
ajst-23609	161	7	zhang	zhang	PROPN
ajst-23609	161	8	d	d	PROPN
ajst-23609	161	9	,	,	PUNCT
ajst-23609	161	10	kamel	kamel	PROPN
ajst-23609	161	11	m.	m.	PROPN
ajst-23609	161	12	a	a	DET
ajst-23609	161	13	survey	survey	NOUN
ajst-23609	161	14	of	of	ADP
ajst-23609	161	15	palmprint	palmprint	NOUN
ajst-23609	161	16	recognition[j	recognition[j	PROPN
ajst-23609	161	17	]	]	PUNCT
ajst-23609	161	18	.	.	PUNCT
ajst-23609	162	1	pattern	pattern	NOUN
ajst-23609	162	2	recognition	recognition	PROPN
ajst-23609	162	3	,	,	PUNCT
ajst-23609	162	4	2009	2009	NUM
ajst-23609	162	5	,	,	PUNCT
ajst-23609	162	6	42(7	42(7	NUM
ajst-23609	162	7	):	):	PUNCT
ajst-23609	162	8	1408	1408	NUM
ajst-23609	162	9	-	-	SYM
ajst-23609	162	10	1418	1418	NUM
ajst-23609	162	11	.	.	PUNCT
ajst-23609	163	1	[	[	X
ajst-23609	163	2	4	4	X
ajst-23609	163	3	]	]	PUNCT
ajst-23609	163	4	dargan	dargan	PROPN
ajst-23609	163	5	s	s	PROPN
ajst-23609	163	6	,	,	PUNCT
ajst-23609	163	7	kumar	kumar	PROPN
ajst-23609	163	8	m.	m.	PROPN
ajst-23609	163	9	a	a	DET
ajst-23609	163	10	comprehensive	comprehensive	ADJ
ajst-23609	163	11	survey	survey	NOUN
ajst-23609	163	12	on	on	ADP
ajst-23609	163	13	the	the	DET
ajst-23609	163	14	biometric	biometric	ADJ
ajst-23609	163	15	recognition	recognition	NOUN
ajst-23609	163	16	systems	system	NOUN
ajst-23609	163	17	based	base	VERB
ajst-23609	163	18	on	on	ADP
ajst-23609	163	19	physiological	physiological	ADJ
ajst-23609	163	20	and	and	CCONJ
ajst-23609	163	21	behavioral	behavioral	ADJ
ajst-23609	163	22	modalities[j	modalities[j	PROPN
ajst-23609	163	23	]	]	PUNCT
ajst-23609	163	24	.	.	PUNCT
ajst-23609	164	1	expert	expert	NOUN
ajst-23609	164	2	systems	system	NOUN
ajst-23609	164	3	with	with	ADP
ajst-23609	164	4	applications	application	NOUN
ajst-23609	164	5	,	,	PUNCT
ajst-23609	164	6	2020	2020	NUM
ajst-23609	164	7	,	,	PUNCT
ajst-23609	164	8	143	143	NUM
ajst-23609	164	9	:	:	SYM
ajst-23609	164	10	113114	113114	NUM
ajst-23609	164	11	.	.	PUNCT
ajst-23609	165	1	[	[	X
ajst-23609	165	2	5	5	NUM
ajst-23609	165	3	]	]	X
ajst-23609	165	4	tan	tan	PROPN
ajst-23609	165	5	x	x	NOUN
ajst-23609	165	6	,	,	PUNCT
ajst-23609	165	7	triggs	triggs	PROPN
ajst-23609	165	8	b.	b.	PROPN
ajst-23609	165	9	enhanced	enhance	VERB
ajst-23609	165	10	local	local	ADJ
ajst-23609	165	11	texture	texture	ADJ
ajst-23609	165	12	feature	feature	NOUN
ajst-23609	165	13	sets	set	NOUN
ajst-23609	165	14	for	for	ADP
ajst-23609	165	15	face	face	NOUN
ajst-23609	165	16	recognition	recognition	NOUN
ajst-23609	165	17	under	under	ADP
ajst-23609	165	18	difficult	difficult	ADJ
ajst-23609	165	19	lighting	lighting	NOUN
ajst-23609	165	20	conditions[j	conditions[j	NOUN
ajst-23609	165	21	]	]	PUNCT
ajst-23609	165	22	.	.	PUNCT
ajst-23609	166	1	ieee	ieee	NOUN
ajst-23609	166	2	transactions	transaction	NOUN
ajst-23609	166	3	on	on	ADP
ajst-23609	166	4	image	image	NOUN
ajst-23609	166	5	processing	processing	NOUN
ajst-23609	166	6	,	,	PUNCT
ajst-23609	166	7	2010	2010	NUM
ajst-23609	166	8	,	,	PUNCT
ajst-23609	166	9	19(6	19(6	NUM
ajst-23609	166	10	):	):	PUNCT
ajst-23609	166	11	1635	1635	NUM
ajst-23609	166	12	-	-	SYM
ajst-23609	166	13	1650	1650	NUM
ajst-23609	166	14	.	.	PUNCT
ajst-23609	167	1	[	[	X
ajst-23609	167	2	6	6	NUM
ajst-23609	167	3	]	]	PUNCT
ajst-23609	167	4	ito	ito	PROPN
ajst-23609	167	5	k	k	PROPN
ajst-23609	167	6	,	,	PUNCT
ajst-23609	167	7	nakajima	nakajima	PROPN
ajst-23609	167	8	h	h	PROPN
ajst-23609	167	9	,	,	PUNCT
ajst-23609	167	10	kobayashi	kobayashi	PROPN
ajst-23609	167	11	k	k	PROPN
ajst-23609	167	12	,	,	PUNCT
ajst-23609	167	13	et	et	PROPN
ajst-23609	167	14	al	al	PROPN
ajst-23609	167	15	.	.	PUNCT
ajst-23609	168	1	a	a	DET
ajst-23609	168	2	fingerprint	fingerprint	NOUN
ajst-23609	168	3	matching	matching	NOUN
ajst-23609	168	4	algorithm	algorithm	NOUN
ajst-23609	168	5	using	use	VERB
ajst-23609	168	6	phase	phase	NOUN
ajst-23609	168	7	-	-	PUNCT
ajst-23609	168	8	only	only	ADV
ajst-23609	168	9	correlation[j	correlation[j	PROPN
ajst-23609	168	10	]	]	PUNCT
ajst-23609	168	11	.	.	PUNCT
ajst-23609	169	1	ieice	ieice	NOUN
ajst-23609	169	2	transactions	transaction	NOUN
ajst-23609	169	3	on	on	ADP
ajst-23609	169	4	fundamentals	fundamental	NOUN
ajst-23609	169	5	of	of	ADP
ajst-23609	169	6	electronics	electronic	NOUN
ajst-23609	169	7	,	,	PUNCT
ajst-23609	169	8	communications	communication	NOUN
ajst-23609	169	9	and	and	CCONJ
ajst-23609	169	10	computer	computer	NOUN
ajst-23609	169	11	sciences	science	NOUN
ajst-23609	169	12	,	,	PUNCT
ajst-23609	169	13	2004	2004	NUM
ajst-23609	169	14	,	,	PUNCT
ajst-23609	169	15	87(3	87(3	NUM
ajst-23609	169	16	):	):	PUNCT
ajst-23609	169	17	682	682	NUM
ajst-23609	169	18	-	-	SYM
ajst-23609	169	19	691	691	NUM
ajst-23609	169	20	.	.	PUNCT
ajst-23609	170	1	[	[	X
ajst-23609	170	2	7	7	X
ajst-23609	170	3	]	]	X
ajst-23609	170	4	miura	miura	PROPN
ajst-23609	170	5	n	n	PROPN
ajst-23609	170	6	,	,	PUNCT
ajst-23609	170	7	nagasaka	nagasaka	ADV
ajst-23609	170	8	a	a	DET
ajst-23609	170	9	,	,	PUNCT
ajst-23609	170	10	miyatake	miyatake	NOUN
ajst-23609	170	11	t.	t.	NOUN
ajst-23609	170	12	feature	feature	NOUN
ajst-23609	170	13	extraction	extraction	NOUN
ajst-23609	170	14	of	of	ADP
ajst-23609	170	15	finger	finger	NOUN
ajst-23609	170	16	-	-	PUNCT
ajst-23609	170	17	vein	vein	ADJ
ajst-23609	170	18	patterns	pattern	NOUN
ajst-23609	170	19	based	base	VERB
ajst-23609	170	20	on	on	ADP
ajst-23609	170	21	repeated	repeat	VERB
ajst-23609	170	22	line	line	NOUN
ajst-23609	170	23	tracking	tracking	NOUN
ajst-23609	170	24	and	and	CCONJ
ajst-23609	170	25	its	its	PRON
ajst-23609	170	26	application	application	NOUN
ajst-23609	170	27	to	to	ADP
ajst-23609	170	28	personal	personal	ADJ
ajst-23609	170	29	identification[j	identification[j	PROPN
ajst-23609	170	30	]	]	PUNCT
ajst-23609	170	31	.	.	PUNCT
ajst-23609	170	32	machine	machine	NOUN
ajst-23609	170	33	vision	vision	NOUN
ajst-23609	170	34	and	and	CCONJ
ajst-23609	170	35	applications	application	NOUN
ajst-23609	170	36	,	,	PUNCT
ajst-23609	170	37	2004	2004	NUM
ajst-23609	170	38	,	,	PUNCT
ajst-23609	170	39	15	15	NUM
ajst-23609	170	40	:	:	SYM
ajst-23609	170	41	194	194	NUM
ajst-23609	170	42	-	-	SYM
ajst-23609	170	43	203	203	NUM
ajst-23609	170	44	.	.	PUNCT
ajst-23609	171	1	[	[	X
ajst-23609	171	2	8	8	NUM
ajst-23609	171	3	]	]	PUNCT
ajst-23609	171	4	yanagawa	yanagawa	PROPN
ajst-23609	171	5	t	t	PROPN
ajst-23609	171	6	,	,	PUNCT
ajst-23609	171	7	aoki	aoki	PROPN
ajst-23609	171	8	s	s	PROPN
ajst-23609	171	9	,	,	PUNCT
ajst-23609	171	10	ohyama	ohyama	PROPN
ajst-23609	171	11	t.	t.	PROPN
ajst-23609	171	12	human	human	PROPN
ajst-23609	171	13	finger	finger	PROPN
ajst-23609	171	14	vein	vein	VERB
ajst-23609	171	15	images	image	NOUN
ajst-23609	171	16	are	be	AUX
ajst-23609	171	17	diverse	diverse	ADJ
ajst-23609	171	18	and	and	CCONJ
ajst-23609	171	19	its	its	PRON
ajst-23609	171	20	patterns	pattern	NOUN
ajst-23609	171	21	are	be	AUX
ajst-23609	171	22	useful	useful	ADJ
ajst-23609	171	23	for	for	ADP
ajst-23609	171	24	personal	personal	ADJ
ajst-23609	171	25	identification	identification	NOUN
ajst-23609	172	1	[	[	X
ajst-23609	172	2	j	j	X
ajst-23609	172	3	]	]	X
ajst-23609	172	4	.	.	PUNCT
ajst-23609	173	1	2007	2007	NUM
ajst-23609	173	2	.	.	PUNCT
ajst-23609	174	1	[	[	X
ajst-23609	174	2	9	9	NUM
ajst-23609	174	3	]	]	X
ajst-23609	174	4	liu	liu	PROPN
ajst-23609	174	5	z	z	PROPN
ajst-23609	174	6	,	,	PUNCT
ajst-23609	174	7	yin	yin	PROPN
ajst-23609	174	8	y	y	PROPN
ajst-23609	174	9	,	,	PUNCT
ajst-23609	174	10	wang	wang	PROPN
ajst-23609	174	11	h	h	PROPN
ajst-23609	174	12	,	,	PUNCT
ajst-23609	174	13	et	et	PROPN
ajst-23609	174	14	al	al	PROPN
ajst-23609	174	15	.	.	PUNCT
ajst-23609	175	1	finger	finger	PROPN
ajst-23609	175	2	vein	vein	VERB
ajst-23609	175	3	recognition	recognition	NOUN
ajst-23609	175	4	with	with	ADP
ajst-23609	175	5	manifold	manifold	ADJ
ajst-23609	175	6	learning[j	learning[j	NOUN
ajst-23609	175	7	]	]	PUNCT
ajst-23609	175	8	.	.	PUNCT
ajst-23609	176	1	journal	journal	PROPN
ajst-23609	176	2	of	of	ADP
ajst-23609	176	3	network	network	NOUN
ajst-23609	176	4	and	and	CCONJ
ajst-23609	176	5	computer	computer	NOUN
ajst-23609	176	6	applications	application	NOUN
ajst-23609	176	7	,	,	PUNCT
ajst-23609	176	8	2010	2010	NUM
ajst-23609	176	9	,	,	PUNCT
ajst-23609	176	10	33(3	33(3	NUM
ajst-23609	176	11	):	):	PUNCT
ajst-23609	176	12	275	275	NUM
ajst-23609	176	13	-	-	SYM
ajst-23609	176	14	282	282	NUM
ajst-23609	176	15	.	.	PUNCT
ajst-23609	177	1	[	[	X
ajst-23609	177	2	10	10	NUM
ajst-23609	177	3	]	]	X
ajst-23609	177	4	yin	yin	PROPN
ajst-23609	177	5	y	y	PROPN
ajst-23609	177	6	,	,	PUNCT
ajst-23609	177	7	yang	yang	PROPN
ajst-23609	177	8	f	f	PROPN
ajst-23609	177	9	,	,	PUNCT
ajst-23609	177	10	yang	yang	PROPN
ajst-23609	177	11	l.	l.	PROPN
ajst-23609	177	12	a	a	DET
ajst-23609	177	13	review	review	NOUN
ajst-23609	177	14	of	of	ADP
ajst-23609	177	15	finger	finger	NOUN
ajst-23609	177	16	vein	vein	VERB
ajst-23609	177	17	recognition	recognition	NOUN
ajst-23609	177	18	research[j	research[j	NOUN
ajst-23609	177	19	]	]	PUNCT
ajst-23609	177	20	.	.	PUNCT
ajst-23609	178	1	data	datum	NOUN
ajst-23609	178	2	acquisition	acquisition	NOUN
ajst-23609	178	3	and	and	CCONJ
ajst-23609	178	4	processing	processing	NOUN
ajst-23609	178	5	,	,	PUNCT
ajst-23609	178	6	2015	2015	NUM
ajst-23609	178	7	,	,	PUNCT
ajst-23609	178	8	30(05):933	30(05):933	NUM
ajst-23609	178	9	-	-	SYM
ajst-23609	178	10	939	939	NUM
ajst-23609	178	11	.	.	PUNCT
ajst-23609	179	1	[	[	X
ajst-23609	179	2	11	11	NUM
ajst-23609	179	3	]	]	X
ajst-23609	179	4	wang	wang	PROPN
ajst-23609	179	5	y	y	PROPN
ajst-23609	179	6	,	,	PUNCT
ajst-23609	179	7	lu	lu	PROPN
ajst-23609	179	8	h	h	NOUN
ajst-23609	179	9	,	,	PUNCT
ajst-23609	179	10	gao	gao	PROPN
ajst-23609	179	11	r	r	PROPN
ajst-23609	179	12	,	,	PUNCT
ajst-23609	179	13	et	et	PROPN
ajst-23609	179	14	al	al	PROPN
ajst-23609	179	15	.	.	PUNCT
ajst-23609	180	1	a	a	DET
ajst-23609	180	2	review	review	NOUN
ajst-23609	180	3	of	of	ADP
ajst-23609	180	4	research	research	NOUN
ajst-23609	180	5	on	on	ADP
ajst-23609	180	6	region	region	NOUN
ajst-23609	180	7	of	of	ADP
ajst-23609	180	8	interest	interest	NOUN
ajst-23609	180	9	extraction	extraction	NOUN
ajst-23609	180	10	for	for	ADP
ajst-23609	180	11	finger	finger	NOUN
ajst-23609	180	12	vein	vein	VERB
ajst-23609	180	13	images[j	images[j	PROPN
ajst-23609	180	14	]	]	PUNCT
ajst-23609	180	15	.	.	PUNCT
ajst-23609	181	1	computer	computer	NOUN
ajst-23609	181	2	engineering	engineering	NOUN
ajst-23609	181	3	and	and	CCONJ
ajst-23609	181	4	applications	application	NOUN
ajst-23609	181	5	,	,	PUNCT
ajst-23609	181	6	2021,57	2021,57	NUM
ajst-23609	181	7	(	(	PUNCT
ajst-23609	181	8	13):34	13):34	NUM
ajst-23609	181	9	-	-	SYM
ajst-23609	181	10	42	42	NUM
ajst-23609	181	11	.	.	PUNCT
ajst-23609	182	1	[	[	X
ajst-23609	182	2	12	12	NUM
ajst-23609	182	3	]	]	X
ajst-23609	182	4	li	li	PROPN
ajst-23609	182	5	j	j	PROPN
ajst-23609	182	6	,	,	PUNCT
ajst-23609	182	7	qu	qu	PROPN
ajst-23609	182	8	c.	c.	PROPN
ajst-23609	182	9	a	a	DET
ajst-23609	182	10	research	research	NOUN
ajst-23609	182	11	review	review	NOUN
ajst-23609	182	12	of	of	ADP
ajst-23609	182	13	deep	deep	ADJ
ajst-23609	182	14	learning	learning	NOUN
ajst-23609	182	15	in	in	ADP
ajst-23609	182	16	finger	finger	NOUN
ajst-23609	182	17	vein	vein	VERB
ajst-23609	182	18	recognition[j	recognition[j	PROPN
ajst-23609	182	19	]	]	PUNCT
ajst-23609	182	20	.	.	PUNCT
ajst-23609	183	1	computer	computer	NOUN
ajst-23609	183	2	science	science	NOUN
ajst-23609	183	3	and	and	CCONJ
ajst-23609	183	4	exploration,2023	exploration,2023	NOUN
ajst-23609	183	5	,	,	PUNCT
ajst-23609	183	6	17	17	NUM
ajst-23609	183	7	(	(	PUNCT
ajst-23609	183	8	11	11	NUM
ajst-23609	183	9	):	):	PUNCT
ajst-23609	183	10	2557	2557	NUM
ajst-23609	183	11	-	-	SYM
ajst-23609	183	12	2579	2579	NUM
ajst-23609	183	13	.	.	PUNCT
ajst-23609	184	1	[	[	X
ajst-23609	184	2	13	13	NUM
ajst-23609	184	3	]	]	X
ajst-23609	184	4	kono	kono	NOUN
ajst-23609	184	5	m.	m.	NOUN
ajst-23609	184	6	a	a	DET
ajst-23609	184	7	new	new	ADJ
ajst-23609	184	8	method	method	NOUN
ajst-23609	184	9	for	for	ADP
ajst-23609	184	10	the	the	DET
ajst-23609	184	11	identification	identification	NOUN
ajst-23609	184	12	of	of	ADP
ajst-23609	184	13	individuals	individual	NOUN
ajst-23609	184	14	by	by	ADP
ajst-23609	184	15	using	use	VERB
ajst-23609	184	16	of	of	ADP
ajst-23609	184	17	vein	vein	ADJ
ajst-23609	184	18	pattern	pattern	NOUN
ajst-23609	184	19	matching	matching	NOUN
ajst-23609	184	20	of	of	ADP
ajst-23609	184	21	a	a	DET
ajst-23609	184	22	finger[c]//proc	finger[c]//proc	PROPN
ajst-23609	184	23	.	.	PUNCT
ajst-23609	184	24	fifth	fifth	ADJ
ajst-23609	184	25	symposium	symposium	NOUN
ajst-23609	184	26	on	on	ADP
ajst-23609	184	27	pattern	pattern	NOUN
ajst-23609	184	28	measurement	measurement	NOUN
ajst-23609	184	29	,	,	PUNCT
ajst-23609	184	30	yamaguchi	yamaguchi	PROPN
ajst-23609	184	31	,	,	PUNCT
ajst-23609	184	32	japan	japan	PROPN
ajst-23609	184	33	,	,	PUNCT
ajst-23609	184	34	2000	2000	NUM
ajst-23609	184	35	.	.	PUNCT
ajst-23609	185	1	2000	2000	NUM
ajst-23609	185	2	:	:	PUNCT
ajst-23609	186	1	9	9	NUM
ajst-23609	186	2	-	-	SYM
ajst-23609	186	3	12	12	NUM
ajst-23609	186	4	.	.	PUNCT
ajst-23609	187	1	[	[	X
ajst-23609	187	2	14	14	NUM
ajst-23609	187	3	]	]	X
ajst-23609	187	4	luo	luo	PROPN
ajst-23609	187	5	m.	m.	PROPN
ajst-23609	187	6	design	design	NOUN
ajst-23609	187	7	and	and	CCONJ
ajst-23609	187	8	realization	realization	NOUN
ajst-23609	187	9	of	of	ADP
ajst-23609	187	10	finger	finger	NOUN
ajst-23609	187	11	vein	vein	VERB
ajst-23609	187	12	authentication	authentication	NOUN
ajst-23609	187	13	system[d	system[d	NOUN
ajst-23609	187	14	]	]	PUNCT
ajst-23609	187	15	.	.	PUNCT
ajst-23609	188	1	university	university	NOUN
ajst-23609	188	2	of	of	ADP
ajst-23609	188	3	electronic	electronic	ADJ
ajst-23609	188	4	science	science	NOUN
ajst-23609	188	5	and	and	CCONJ
ajst-23609	188	6	technology,2016	technology,2016	PRON
ajst-23609	188	7	.	.	PUNCT
ajst-23609	189	1	[	[	X
ajst-23609	189	2	15	15	NUM
ajst-23609	189	3	]	]	X
ajst-23609	189	4	m.	m.	NOUN
ajst-23609	189	5	s.	s.	PROPN
ajst-23609	189	6	mohd	mohd	PROPN
ajst-23609	189	7	asaari	asaari	PROPN
ajst-23609	189	8	,	,	PUNCT
ajst-23609	189	9	s.	s.	PROPN
ajst-23609	189	10	a.	a.	PROPN
ajst-23609	189	11	suandi	suandi	PROPN
ajst-23609	189	12	,	,	PUNCT
ajst-23609	189	13	and	and	CCONJ
ajst-23609	189	14	b.	b.	PROPN
ajst-23609	189	15	a.	a.	PROPN
ajst-23609	189	16	rosdi	rosdi	PROPN
ajst-23609	189	17	,	,	PUNCT
ajst-23609	189	18	“	"	PUNCT
ajst-23609	189	19	fusion	fusion	NOUN
ajst-23609	189	20	of	of	ADP
ajst-23609	189	21	band	band	NOUN
ajst-23609	189	22	limited	limit	VERB
ajst-23609	189	23	phase	phase	NOUN
ajst-23609	189	24	only	only	ADV
ajst-23609	189	25	correlation	correlation	NOUN
ajst-23609	189	26	and	and	CCONJ
ajst-23609	189	27	width	width	ADJ
ajst-23609	189	28	centroid	centroid	NOUN
ajst-23609	189	29	contour	contour	NOUN
ajst-23609	189	30	distance	distance	NOUN
ajst-23609	189	31	for	for	ADP
ajst-23609	189	32	finger	finger	NOUN
ajst-23609	189	33	based	base	VERB
ajst-23609	189	34	biometrics	biometric	NOUN
ajst-23609	189	35	,	,	PUNCT
ajst-23609	189	36	”	"	PUNCT
ajst-23609	189	37	expert	expert	NOUN
ajst-23609	189	38	systems	system	NOUN
ajst-23609	189	39	with	with	ADP
ajst-23609	189	40	applications	application	NOUN
ajst-23609	189	41	,	,	PUNCT
ajst-23609	189	42	vol	vol	NOUN
ajst-23609	189	43	.	.	PROPN
ajst-23609	189	44	41	41	NUM
ajst-23609	189	45	,	,	PUNCT
ajst-23609	189	46	no	no	INTJ
ajst-23609	189	47	.	.	NOUN
ajst-23609	189	48	7	7	NUM
ajst-23609	189	49	,	,	PUNCT
ajst-23609	189	50	pp	pp	ADJ
ajst-23609	189	51	.	.	PUNCT
ajst-23609	189	52	3367–3382	3367–3382	NUM
ajst-23609	189	53	,	,	PUNCT
ajst-23609	189	54	jun	jun	PROPN
ajst-23609	189	55	.	.	PROPN
ajst-23609	189	56	2014	2014	NUM
ajst-23609	189	57	.	.	PUNCT
ajst-23609	190	1	[	[	X
ajst-23609	190	2	16	16	NUM
ajst-23609	190	3	]	]	X
ajst-23609	190	4	yin	yin	PROPN
ajst-23609	190	5	y	y	PROPN
ajst-23609	190	6	l	l	PROPN
ajst-23609	190	7	,	,	PUNCT
ajst-23609	190	8	liu	liu	PROPN
ajst-23609	190	9	l	l	PROPN
ajst-23609	190	10	l	l	PROPN
ajst-23609	190	11	,	,	PUNCT
ajst-23609	190	12	sun	sun	PROPN
ajst-23609	190	13	x	x	SYM
ajst-23609	190	14	w.	w.	PROPN
ajst-23609	190	15	sdumla	sdumla	PROPN
ajst-23609	190	16	-	-	PUNCT
ajst-23609	190	17	hmt	hmt	NOUN
ajst-23609	190	18	:	:	PUNCT
ajst-23609	190	19	a	a	DET
ajst-23609	190	20	multimodal	multimodal	ADJ
ajst-23609	190	21	biometric	biometric	ADJ
ajst-23609	190	22	database[c]//proceedings	database[c]//proceeding	NOUN
ajst-23609	190	23	of	of	ADP
ajst-23609	190	24	the	the	DET
ajst-23609	190	25	chinese	chinese	ADJ
ajst-23609	190	26	conference	conference	NOUN
ajst-23609	190	27	on	on	ADP
ajst-23609	190	28	biometric	biometric	ADJ
ajst-23609	190	29	recognition	recognition	NOUN
ajst-23609	190	30	,	,	PUNCT
ajst-23609	190	31	beijing	beijing	PROPN
ajst-23609	190	32	,	,	PUNCT
ajst-23609	190	33	china	china	PROPN
ajst-23609	190	34	,	,	PUNCT
ajst-23609	190	35	dec	dec	PROPN
ajst-23609	190	36	3	3	NUM
ajst-23609	190	37	-	-	SYM
ajst-23609	190	38	4	4	NUM
ajst-23609	190	39	,	,	PUNCT
ajst-23609	190	40	2011	2011	NUM
ajst-23609	190	41	.	.	PUNCT
ajst-23609	191	1	berlin	berlin	PROPN
ajst-23609	191	2	,	,	PUNCT
ajst-23609	191	3	heidelberg	heidelberg	NOUN
ajst-23609	191	4	:	:	PUNCT
ajst-23609	191	5	springer	springer	NOUN
ajst-23609	191	6	,	,	PUNCT
ajst-23609	191	7	2011	2011	NUM
ajst-23609	191	8	:	:	PUNCT
ajst-23609	191	9	260	260	NUM
ajst-23609	191	10	-	-	SYM
ajst-23609	191	11	268	268	NUM
ajst-23609	191	12	.	.	PUNCT
ajst-23609	192	1	[	[	X
ajst-23609	192	2	17	17	NUM
ajst-23609	192	3	]	]	X
ajst-23609	192	4	kumar	kumar	PROPN
ajst-23609	192	5	a	a	PROPN
ajst-23609	192	6	,	,	PUNCT
ajst-23609	192	7	zhou	zhou	PROPN
ajst-23609	192	8	y	y	PROPN
ajst-23609	192	9	b.	b.	PROPN
ajst-23609	192	10	human	human	ADJ
ajst-23609	192	11	identification	identification	NOUN
ajst-23609	192	12	using	use	VERB
ajst-23609	192	13	finger	finger	NOUN
ajst-23609	192	14	images	image	NOUN
ajst-23609	192	15	[	[	X
ajst-23609	192	16	j	j	X
ajst-23609	192	17	]	]	X
ajst-23609	192	18	.	.	PUNCT
ajst-23609	193	1	ieee	ieee	NOUN
ajst-23609	193	2	transactions	transaction	NOUN
ajst-23609	193	3	on	on	ADP
ajst-23609	193	4	image	image	NOUN
ajst-23609	193	5	processing	processing	NOUN
ajst-23609	193	6	,	,	PUNCT
ajst-23609	193	7	2012	2012	NUM
ajst-23609	193	8	,	,	PUNCT
ajst-23609	193	9	21(4	21(4	NUM
ajst-23609	193	10	):	):	PUNCT
ajst-23609	193	11	2228	2228	NUM
ajst-23609	193	12	-	-	SYM
ajst-23609	193	13	2244	2244	NUM
ajst-23609	193	14	.	.	PUNCT
ajst-23609	194	1	[	[	X
ajst-23609	194	2	18	18	NUM
ajst-23609	194	3	]	]	X
ajst-23609	194	4	y.	y.	PROPN
ajst-23609	194	5	lu	lu	PROPN
ajst-23609	194	6	,	,	PUNCT
ajst-23609	194	7	s.	s.	PROPN
ajst-23609	194	8	j.	j.	PROPN
ajst-23609	194	9	xie	xie	PROPN
ajst-23609	194	10	,	,	PUNCT
ajst-23609	194	11	s.	s.	PROPN
ajst-23609	194	12	yoon	yoon	PROPN
ajst-23609	194	13	,	,	PUNCT
ajst-23609	194	14	z.	z.	PROPN
ajst-23609	194	15	wang	wang	PROPN
ajst-23609	194	16	,	,	PUNCT
ajst-23609	194	17	and	and	CCONJ
ajst-23609	194	18	d.	d.	PROPN
ajst-23609	194	19	s.	s.	PROPN
ajst-23609	194	20	park	park	PROPN
ajst-23609	194	21	,	,	PUNCT
ajst-23609	194	22	“	"	PUNCT
ajst-23609	194	23	an	an	DET
ajst-23609	194	24	available	available	ADJ
ajst-23609	194	25	database	database	NOUN
ajst-23609	194	26	for	for	ADP
ajst-23609	194	27	the	the	DET
ajst-23609	194	28	research	research	NOUN
ajst-23609	194	29	of	of	ADP
ajst-23609	194	30	finger	finger	NOUN
ajst-23609	194	31	vein	vein	NOUN
ajst-23609	194	32	recognition	recognition	NOUN
ajst-23609	194	33	,	,	PUNCT
ajst-23609	194	34	”	"	PUNCT
ajst-23609	194	35	in	in	ADP
ajst-23609	194	36	2013	2013	NUM
ajst-23609	194	37	6th	6th	ADJ
ajst-23609	194	38	international	international	ADJ
ajst-23609	194	39	congress	congress	PROPN
ajst-23609	194	40	on	on	ADP
ajst-23609	194	41	image	image	NOUN
ajst-23609	194	42	and	and	CCONJ
ajst-23609	194	43	signal	signal	NOUN
ajst-23609	194	44	processing	processing	NOUN
ajst-23609	194	45	(	(	PUNCT
ajst-23609	194	46	cisp	cisp	ADJ
ajst-23609	194	47	)	)	PUNCT
ajst-23609	194	48	,	,	PUNCT
ajst-23609	194	49	hangzhou	hangzhou	PROPN
ajst-23609	194	50	,	,	PUNCT
ajst-23609	194	51	china	china	PROPN
ajst-23609	194	52	,	,	PUNCT
ajst-23609	194	53	2013	2013	NUM
ajst-23609	194	54	,	,	PUNCT
ajst-23609	194	55	pp	pp	ADJ
ajst-23609	194	56	.	.	PUNCT
ajst-23609	195	1	410	410	NUM
ajst-23609	195	2	-	-	SYM
ajst-23609	195	3	415	415	NUM
ajst-23609	195	4	.	.	PUNCT
ajst-23609	196	1	135	135	NUM
ajst-23609	197	1	[	[	SYM
ajst-23609	197	2	19	19	NUM
ajst-23609	197	3	]	]	PUNCT
ajst-23609	197	4	tome	tome	NOUN
ajst-23609	197	5	p	p	NOUN
ajst-23609	197	6	,	,	PUNCT
ajst-23609	197	7	vanoni	vanoni	PROPN
ajst-23609	197	8	m	m	PROPN
ajst-23609	197	9	,	,	PUNCT
ajst-23609	197	10	marcel	marcel	PROPN
ajst-23609	197	11	s.	s.	PROPN
ajst-23609	197	12	on	on	ADP
ajst-23609	197	13	the	the	DET
ajst-23609	197	14	vulnerability	vulnerability	NOUN
ajst-23609	197	15	of	of	ADP
ajst-23609	197	16	finger	finger	NOUN
ajst-23609	197	17	vein	vein	VERB
ajst-23609	197	18	recognition	recognition	NOUN
ajst-23609	197	19	to	to	ADP
ajst-23609	197	20	spoofing[c]//proceedings	spoofing[c]//proceeding	NOUN
ajst-23609	197	21	of	of	ADP
ajst-23609	197	22	the	the	DET
ajst-23609	197	23	2014	2014	NUM
ajst-23609	197	24	international	international	ADJ
ajst-23609	197	25	conference	conference	NOUN
ajst-23609	197	26	of	of	ADP
ajst-23609	197	27	the	the	DET
ajst-23609	197	28	biometrics	biometric	NOUN
ajst-23609	197	29	special	special	ADJ
ajst-23609	197	30	interest	interest	NOUN
ajst-23609	197	31	group	group	NOUN
ajst-23609	197	32	(	(	PUNCT
ajst-23609	197	33	biosig	biosig	PROPN
ajst-23609	197	34	)	)	PUNCT
ajst-23609	197	35	,	,	PUNCT
ajst-23609	197	36	darmstadt	darmstadt	PROPN
ajst-23609	197	37	,	,	PUNCT
ajst-23609	197	38	germany	germany	PROPN
ajst-23609	197	39	,	,	PUNCT
ajst-23609	197	40	sep	sep	PROPN
ajst-23609	197	41	10	10	NUM
ajst-23609	197	42	-	-	SYM
ajst-23609	197	43	12	12	NUM
ajst-23609	197	44	,	,	PUNCT
ajst-23609	197	45	2014	2014	NUM
ajst-23609	197	46	.	.	PUNCT
ajst-23609	198	1	piscataway	piscataway	NOUN
ajst-23609	198	2	:	:	PUNCT
ajst-23609	198	3	ieee	ieee	NOUN
ajst-23609	198	4	,	,	PUNCT
ajst-23609	198	5	2014	2014	NUM
ajst-23609	198	6	:	:	PUNCT
ajst-23609	198	7	1	1	NUM
ajst-23609	198	8	-	-	SYM
ajst-23609	198	9	10	10	NUM
ajst-23609	198	10	.	.	PUNCT
ajst-23609	199	1	[	[	X
ajst-23609	199	2	20	20	NUM
ajst-23609	199	3	]	]	PUNCT
ajst-23609	199	4	b.	b.	PROPN
ajst-23609	199	5	ton	ton	PROPN
ajst-23609	199	6	and	and	CCONJ
ajst-23609	199	7	r.	r.	PROPN
ajst-23609	199	8	veldhuis	veldhuis	PROPN
ajst-23609	199	9	,	,	PUNCT
ajst-23609	199	10	“	"	PUNCT
ajst-23609	199	11	a	a	DET
ajst-23609	199	12	high	high	ADJ
ajst-23609	199	13	quality	quality	NOUN
ajst-23609	199	14	finger	finger	NOUN
ajst-23609	199	15	vascular	vascular	NOUN
ajst-23609	199	16	pattern	pattern	NOUN
ajst-23609	199	17	dataset	dataset	VERB
ajst-23609	199	18	collected	collect	VERB
ajst-23609	199	19	using	use	VERB
ajst-23609	199	20	a	a	DET
ajst-23609	199	21	custom	custom	NOUN
ajst-23609	199	22	designed	design	VERB
ajst-23609	199	23	capturing	capturing	NOUN
ajst-23609	199	24	device	device	NOUN
ajst-23609	199	25	,	,	PUNCT
ajst-23609	199	26	”	"	PUNCT
ajst-23609	199	27	in	in	ADP
ajst-23609	199	28	international	international	ADJ
ajst-23609	199	29	conference	conference	NOUN
ajst-23609	199	30	on	on	ADP
ajst-23609	199	31	biometrics	biometric	NOUN
ajst-23609	199	32	,	,	PUNCT
ajst-23609	199	33	icb	icb	PROPN
ajst-23609	199	34	2013	2013	NUM
ajst-23609	199	35	.	.	PUNCT
ajst-23609	200	1	ieee	ieee	PROPN
ajst-23609	200	2	,	,	PUNCT
ajst-23609	200	3	2013	2013	NUM
ajst-23609	200	4	.	.	PUNCT
ajst-23609	201	1	[	[	X
ajst-23609	201	2	online	online	X
ajst-23609	201	3	]	]	X
ajst-23609	201	4	.	.	PUNCT
ajst-23609	202	1	available	available	ADJ
ajst-23609	202	2	:	:	PUNCT
ajst-23609	202	3	http://doc.utwente.nl/87790/	http://doc.utwente.nl/87790/	NUM
ajst-23609	202	4	[	[	X
ajst-23609	202	5	21	21	NUM
ajst-23609	202	6	]	]	X
ajst-23609	202	7	miura	miura	PROPN
ajst-23609	202	8	,	,	PUNCT
ajst-23609	202	9	n.	n.	NOUN
ajst-23609	202	10	,	,	PUNCT
ajst-23609	202	11	nagasaka	nagasaka	ADV
ajst-23609	202	12	,	,	PUNCT
ajst-23609	202	13	a.	a.	NOUN
ajst-23609	202	14	and	and	CCONJ
ajst-23609	202	15	miyatake	miyatake	NOUN
ajst-23609	202	16	,	,	PUNCT
ajst-23609	202	17	t.	t.	NOUN
ajst-23609	202	18	feature	feature	NOUN
ajst-23609	202	19	extraction	extraction	NOUN
ajst-23609	202	20	of	of	ADP
ajst-23609	202	21	finger	finger	NOUN
ajst-23609	202	22	-	-	PUNCT
ajst-23609	202	23	vein	vein	ADJ
ajst-23609	202	24	patterns	pattern	NOUN
ajst-23609	202	25	based	base	VERB
ajst-23609	202	26	on	on	ADP
ajst-23609	202	27	repeated	repeat	VERB
ajst-23609	202	28	line	line	NOUN
ajst-23609	202	29	tracking	tracking	NOUN
ajst-23609	202	30	and	and	CCONJ
ajst-23609	202	31	its	its	PRON
ajst-23609	202	32	application	application	NOUN
ajst-23609	202	33	to	to	ADP
ajst-23609	202	34	personal	personal	ADJ
ajst-23609	202	35	identification	identification	NOUN
ajst-23609	202	36	.	.	PUNCT
ajst-23609	203	1	mach	mach	NOUN
ajst-23609	203	2	.	.	PUNCT
ajst-23609	204	1	vis	vis	X
ajst-23609	204	2	.	.	PUNCT
ajst-23609	204	3	appl	appl	PROPN
ajst-23609	204	4	.	.	PROPN
ajst-23609	204	5	,	,	PUNCT
ajst-23609	204	6	2004	2004	NUM
ajst-23609	204	7	,	,	PUNCT
ajst-23609	204	8	15	15	NUM
ajst-23609	204	9	,	,	PUNCT
ajst-23609	204	10	194–203	194–203	NUM
ajst-23609	204	11	.	.	PUNCT
ajst-23609	205	1	[	[	X
ajst-23609	205	2	22	22	NUM
ajst-23609	205	3	]	]	X
ajst-23609	205	4	miura	miura	PROPN
ajst-23609	205	5	,	,	PUNCT
ajst-23609	205	6	n.	n.	NOUN
ajst-23609	205	7	and	and	CCONJ
ajst-23609	205	8	nagasaka	nagasaka	PROPN
ajst-23609	205	9	,	,	PUNCT
ajst-23609	205	10	a.	a.	NOUN
ajst-23609	205	11	automatic	automatic	ADJ
ajst-23609	205	12	feature	feature	NOUN
ajst-23609	205	13	extraction	extraction	NOUN
ajst-23609	205	14	from	from	ADP
ajst-23609	205	15	non	non	ADJ
ajst-23609	205	16	-	-	ADJ
ajst-23609	205	17	uniform	uniform	ADJ
ajst-23609	205	18	finger	finger	NOUN
ajst-23609	205	19	vein	vein	VERB
ajst-23609	205	20	image	image	NOUN
ajst-23609	205	21	and	and	CCONJ
ajst-23609	205	22	its	its	PRON
ajst-23609	205	23	application	application	NOUN
ajst-23609	205	24	to	to	ADP
ajst-23609	205	25	personal	personal	ADJ
ajst-23609	205	26	identification	identification	NOUN
ajst-23609	205	27	,	,	PUNCT
ajst-23609	205	28	proc	proc	NOUN
ajst-23609	205	29	.	.	PUNCT
ajst-23609	205	30	conf	conf	PROPN
ajst-23609	205	31	.	.	PUNCT
ajst-23609	206	1	on	on	ADP
ajst-23609	206	2	machine	machine	NOUN
ajst-23609	206	3	vision	vision	NOUN
ajst-23609	206	4	applications	application	NOUN
ajst-23609	206	5	:	:	PUNCT
ajst-23609	206	6	mva	mva	NOUN
ajst-23609	206	7	’	'	PUNCT
ajst-23609	206	8	02	02	NUM
ajst-23609	206	9	,	,	PUNCT
ajst-23609	206	10	nara	nara	PROPN
ajst-23609	206	11	,	,	PUNCT
ajst-23609	206	12	japan	japan	PROPN
ajst-23609	206	13	,	,	PUNCT
ajst-23609	206	14	december	december	PROPN
ajst-23609	206	15	2002	2002	NUM
ajst-23609	206	16	,	,	PUNCT
ajst-23609	206	17	iapr	iapr	VERB
ajst-23609	206	18	,	,	PUNCT
ajst-23609	206	19	pp	pp	ADJ
ajst-23609	206	20	.	.	PUNCT
ajst-23609	207	1	253–256	253–256	NUM
ajst-23609	207	2	.	.	PUNCT
ajst-23609	208	1	[	[	X
ajst-23609	208	2	23	23	NUM
ajst-23609	208	3	]	]	X
ajst-23609	208	4	miura	miura	PROPN
ajst-23609	208	5	,	,	PUNCT
ajst-23609	208	6	n.	n.	NOUN
ajst-23609	208	7	and	and	CCONJ
ajst-23609	208	8	nagasaka	nagasaka	ADV
ajst-23609	208	9	,	,	PUNCT
ajst-23609	208	10	a.	a.	NOUN
ajst-23609	208	11	extraction	extraction	NOUN
ajst-23609	208	12	of	of	ADP
ajst-23609	208	13	finger	finger	NOUN
ajst-23609	208	14	-	-	PUNCT
ajst-23609	208	15	vein	vein	ADJ
ajst-23609	208	16	patterns	pattern	NOUN
ajst-23609	208	17	using	use	VERB
ajst-23609	208	18	maximum	maximum	ADJ
ajst-23609	208	19	curvature	curvature	NOUN
ajst-23609	208	20	points	point	NOUN
ajst-23609	208	21	in	in	ADP
ajst-23609	208	22	image	image	NOUN
ajst-23609	208	23	profiles	profile	NOUN
ajst-23609	208	24	.	.	PUNCT
ajst-23609	209	1	trans	trans	PROPN
ajst-23609	209	2	.	.	PROPN
ajst-23609	209	3	inf	inf	PROPN
ajst-23609	209	4	.	.	PUNCT
ajst-23609	209	5	syst	syst	PROPN
ajst-23609	209	6	.	.	PUNCT
ajst-23609	209	7	,	,	PUNCT
ajst-23609	209	8	2007	2007	NUM
ajst-23609	209	9	,	,	PUNCT
ajst-23609	209	10	e90	e90	NOUN
ajst-23609	209	11	-	-	SYM
ajst-23609	209	12	d	d	PROPN
ajst-23609	209	13	,	,	PUNCT
ajst-23609	209	14	1185–1194	1185–1194	NUM
ajst-23609	209	15	.	.	PUNCT
ajst-23609	210	1	[	[	X
ajst-23609	210	2	24	24	NUM
ajst-23609	210	3	]	]	SYM
ajst-23609	210	4	yu	yu	PROPN
ajst-23609	210	5	,	,	PUNCT
ajst-23609	210	6	x.	x.	PROPN
ajst-23609	210	7	,	,	PUNCT
ajst-23609	210	8	yang	yang	PROPN
ajst-23609	210	9	,	,	PUNCT
ajst-23609	210	10	w.	w.	PROPN
ajst-23609	210	11	m.	m.	PROPN
ajst-23609	210	12	,	,	PUNCT
ajst-23609	210	13	liao	liao	PROPN
ajst-23609	210	14	,	,	PUNCT
ajst-23609	210	15	q.	q.	PROPN
ajst-23609	210	16	m.	m.	PROPN
ajst-23609	210	17	and	and	CCONJ
ajst-23609	210	18	zhou	zhou	PROPN
ajst-23609	210	19	,	,	PUNCT
ajst-23609	210	20	f.	f.	PROPN
ajst-23609	210	21	a	a	DET
ajst-23609	210	22	novel	novel	ADJ
ajst-23609	210	23	finger	finger	NOUN
ajst-23609	210	24	vein	vein	NOUN
ajst-23609	210	25	pattern	pattern	NOUN
ajst-23609	210	26	extraction	extraction	NOUN
ajst-23609	210	27	approach	approach	NOUN
ajst-23609	210	28	for	for	ADP
ajst-23609	210	29	near	near	ADV
ajst-23609	210	30	-	-	PUNCT
ajst-23609	210	31	infrared	infrared	ADJ
ajst-23609	210	32	image	image	NOUN
ajst-23609	210	33	,	,	PUNCT
ajst-23609	210	34	proc	proc	NOUN
ajst-23609	210	35	.	.	PUNCT
ajst-23609	211	1	2nd	2nd	ADJ
ajst-23609	211	2	int	int	PROPN
ajst-23609	211	3	.	.	PUNCT
ajst-23609	212	1	cong	cong	PROPN
ajst-23609	212	2	.	.	PUNCT
ajst-23609	213	1	on	on	ADP
ajst-23609	213	2	image	image	NOUN
ajst-23609	213	3	and	and	CCONJ
ajst-23609	213	4	signal	signal	NOUN
ajst-23609	213	5	processing	processing	NOUN
ajst-23609	213	6	:	:	PUNCT
ajst-23609	213	7	cisp	cisp	ADJ
ajst-23609	213	8	’	'	PUNCT
ajst-23609	213	9	09	09	NUM
ajst-23609	213	10	,	,	PUNCT
ajst-23609	213	11	tianjin	tianjin	PROPN
ajst-23609	213	12	,	,	PUNCT
ajst-23609	213	13	china	china	PROPN
ajst-23609	213	14	,	,	PUNCT
ajst-23609	213	15	october	october	PROPN
ajst-23609	213	16	2009	2009	NUM
ajst-23609	213	17	,	,	PUNCT
ajst-23609	213	18	ieee	ieee	NOUN
ajst-23609	213	19	engineering	engineering	NOUN
ajst-23609	213	20	in	in	ADP
ajst-23609	213	21	medicine	medicine	NOUN
ajst-23609	213	22	and	and	CCONJ
ajst-23609	213	23	biology	biology	NOUN
ajst-23609	213	24	society	society	NOUN
ajst-23609	213	25	,	,	PUNCT
ajst-23609	213	26	pp	pp	ADV
ajst-23609	213	27	.	.	PUNCT
ajst-23609	214	1	1–5	1–5	X
ajst-23609	214	2	.	.	PUNCT
ajst-23609	215	1	[	[	X
ajst-23609	215	2	25	25	NUM
ajst-23609	215	3	]	]	X
ajst-23609	215	4	liu	liu	PROPN
ajst-23609	215	5	t	t	PROPN
ajst-23609	215	6	,	,	PUNCT
ajst-23609	215	7	xie	xie	PROPN
ajst-23609	215	8	j	j	PROPN
ajst-23609	215	9	b	b	PROPN
ajst-23609	215	10	,	,	PUNCT
ajst-23609	215	11	yan	yan	PROPN
ajst-23609	215	12	w	w	PROPN
ajst-23609	215	13	,	,	PUNCT
ajst-23609	215	14	et	et	PROPN
ajst-23609	215	15	al	al	PROPN
ajst-23609	215	16	.	.	PUNCT
ajst-23609	216	1	an	an	DET
ajst-23609	216	2	algorithm	algorithm	NOUN
ajst-23609	216	3	for	for	ADP
ajst-23609	216	4	finger	finger	NOUN
ajst-23609	216	5	-	-	PUNCT
ajst-23609	216	6	vein	vein	ADJ
ajst-23609	216	7	segmentation	segmentation	NOUN
ajst-23609	216	8	based	base	VERB
ajst-23609	216	9	on	on	ADP
ajst-23609	216	10	modified	modify	VERB
ajst-23609	216	11	repeated	repeat	VERB
ajst-23609	216	12	line	line	NOUN
ajst-23609	216	13	tracking[j	tracking[j	NOUN
ajst-23609	216	14	]	]	PUNCT
ajst-23609	216	15	.	.	PUNCT
ajst-23609	217	1	the	the	DET
ajst-23609	217	2	imaging	imaging	PROPN
ajst-23609	217	3	science	science	PROPN
ajst-23609	217	4	journal	journal	PROPN
ajst-23609	217	5	,	,	PUNCT
ajst-23609	217	6	2013	2013	NUM
ajst-23609	217	7	,	,	PUNCT
ajst-23609	217	8	61(6	61(6	NUM
ajst-23609	217	9	):	):	PUNCT
ajst-23609	217	10	491	491	NUM
ajst-23609	217	11	-	-	SYM
ajst-23609	217	12	502	502	NUM
ajst-23609	217	13	.	.	PUNCT
ajst-23609	218	1	[	[	X
ajst-23609	218	2	26	26	NUM
ajst-23609	218	3	]	]	X
ajst-23609	218	4	yang	yang	PROPN
ajst-23609	218	5	j	j	PROPN
ajst-23609	218	6	,	,	PUNCT
ajst-23609	218	7	shi	shi	PROPN
ajst-23609	218	8	y	y	PROPN
ajst-23609	218	9	,	,	PUNCT
ajst-23609	218	10	yang	yang	PROPN
ajst-23609	218	11	j.	j.	PROPN
ajst-23609	218	12	personal	personal	PROPN
ajst-23609	218	13	identification	identification	NOUN
ajst-23609	218	14	based	base	VERB
ajst-23609	218	15	on	on	ADP
ajst-23609	218	16	fingervein	fingervein	ADJ
ajst-23609	218	17	features[j	features[j	NOUN
ajst-23609	218	18	]	]	PUNCT
ajst-23609	218	19	.	.	PUNCT
ajst-23609	219	1	computers	computer	NOUN
ajst-23609	219	2	in	in	ADP
ajst-23609	219	3	human	human	ADJ
ajst-23609	219	4	behavior	behavior	NOUN
ajst-23609	219	5	,	,	PUNCT
ajst-23609	219	6	2011	2011	NUM
ajst-23609	219	7	,	,	PUNCT
ajst-23609	219	8	27(5	27(5	PROPN
ajst-23609	219	9	):	):	PUNCT
ajst-23609	219	10	1565	1565	NUM
ajst-23609	219	11	-	-	SYM
ajst-23609	219	12	1570	1570	NUM
ajst-23609	219	13	.	.	PUNCT
ajst-23609	220	1	[	[	X
ajst-23609	220	2	27	27	NUM
ajst-23609	220	3	]	]	X
ajst-23609	220	4	han	han	PROPN
ajst-23609	220	5	w	w	PROPN
ajst-23609	220	6	y	y	PROPN
ajst-23609	220	7	,	,	PUNCT
ajst-23609	220	8	lee	lee	PROPN
ajst-23609	220	9	j	j	PROPN
ajst-23609	220	10	c.	c.	PROPN
ajst-23609	220	11	palm	palm	PROPN
ajst-23609	220	12	vein	vein	PROPN
ajst-23609	220	13	recognition	recognition	NOUN
ajst-23609	220	14	using	use	VERB
ajst-23609	220	15	adaptive	adaptive	ADJ
ajst-23609	220	16	gabor	gabor	PROPN
ajst-23609	220	17	filter[j	filter[j	PROPN
ajst-23609	220	18	]	]	PUNCT
ajst-23609	220	19	.	.	PUNCT
ajst-23609	221	1	expert	expert	NOUN
ajst-23609	221	2	systems	system	NOUN
ajst-23609	221	3	with	with	ADP
ajst-23609	221	4	applications	application	NOUN
ajst-23609	221	5	,	,	PUNCT
ajst-23609	221	6	2012	2012	NUM
ajst-23609	221	7	,	,	PUNCT
ajst-23609	221	8	39(18	39(18	NUM
ajst-23609	221	9	):	):	PUNCT
ajst-23609	221	10	13225	13225	NUM
ajst-23609	221	11	-	-	SYM
ajst-23609	221	12	13234	13234	NUM
ajst-23609	221	13	.	.	PUNCT
ajst-23609	222	1	[	[	X
ajst-23609	222	2	28	28	NUM
ajst-23609	222	3	]	]	X
ajst-23609	222	4	hsia	hsia	PROPN
ajst-23609	222	5	c	c	PROPN
ajst-23609	222	6	h	h	PROPN
ajst-23609	222	7	,	,	PUNCT
ajst-23609	222	8	liu	liu	PROPN
ajst-23609	222	9	c	c	PROPN
ajst-23609	222	10	h.	h.	PROPN
ajst-23609	222	11	new	new	ADJ
ajst-23609	222	12	hierarchical	hierarchical	ADJ
ajst-23609	222	13	finger	finger	NOUN
ajst-23609	222	14	-	-	PUNCT
ajst-23609	222	15	vein	vein	ADJ
ajst-23609	222	16	feature	feature	NOUN
ajst-23609	222	17	extraction	extraction	NOUN
ajst-23609	222	18	method	method	NOUN
ajst-23609	222	19	for	for	ADP
ajst-23609	222	20	ivehicles[j	ivehicles[j	PROPN
ajst-23609	222	21	]	]	PUNCT
ajst-23609	222	22	.	.	PUNCT
ajst-23609	223	1	ieee	ieee	PROPN
ajst-23609	223	2	sensors	sensor	NOUN
ajst-23609	223	3	journal	journal	PROPN
ajst-23609	223	4	,	,	PUNCT
ajst-23609	223	5	2022	2022	NUM
ajst-23609	223	6	,	,	PUNCT
ajst-23609	223	7	22(13	22(13	NUM
ajst-23609	223	8	):	):	PUNCT
ajst-23609	223	9	13612	13612	NUM
ajst-23609	223	10	-	-	SYM
ajst-23609	223	11	13621	13621	NUM
ajst-23609	223	12	.	.	PUNCT
ajst-23609	224	1	[	[	X
ajst-23609	224	2	29	29	NUM
ajst-23609	224	3	]	]	X
ajst-23609	224	4	yang	yang	PROPN
ajst-23609	224	5	j	j	PROPN
ajst-23609	224	6	,	,	PUNCT
ajst-23609	224	7	shi	shi	PROPN
ajst-23609	224	8	y	y	PROPN
ajst-23609	224	9	,	,	PUNCT
ajst-23609	224	10	jia	jia	PROPN
ajst-23609	224	11	g.	g.	PROPN
ajst-23609	224	12	finger	finger	NOUN
ajst-23609	224	13	-	-	PUNCT
ajst-23609	224	14	vein	vein	ADJ
ajst-23609	224	15	image	image	NOUN
ajst-23609	224	16	matching	matching	NOUN
ajst-23609	224	17	based	base	VERB
ajst-23609	224	18	on	on	ADP
ajst-23609	224	19	adaptive	adaptive	ADJ
ajst-23609	224	20	curve	curve	NOUN
ajst-23609	224	21	transformation[j	transformation[j	PROPN
ajst-23609	224	22	]	]	PUNCT
ajst-23609	224	23	.	.	PUNCT
ajst-23609	224	24	pattern	pattern	NOUN
ajst-23609	224	25	recognition	recognition	NOUN
ajst-23609	224	26	,	,	PUNCT
ajst-23609	224	27	2017	2017	NUM
ajst-23609	224	28	,	,	PUNCT
ajst-23609	224	29	66	66	NUM
ajst-23609	224	30	:	:	PUNCT
ajst-23609	224	31	34	34	NUM
ajst-23609	224	32	-	-	SYM
ajst-23609	224	33	43	43	NUM
ajst-23609	224	34	.	.	PUNCT
ajst-23609	225	1	[	[	X
ajst-23609	225	2	30	30	NUM
ajst-23609	225	3	]	]	X
ajst-23609	225	4	song	song	PROPN
ajst-23609	225	5	w	w	PROPN
ajst-23609	225	6	,	,	PUNCT
ajst-23609	225	7	kim	kim	PROPN
ajst-23609	225	8	t	t	PROPN
ajst-23609	225	9	,	,	PUNCT
ajst-23609	225	10	kim	kim	PROPN
ajst-23609	225	11	h	h	PROPN
ajst-23609	225	12	c	c	PROPN
ajst-23609	225	13	,	,	PUNCT
ajst-23609	225	14	et	et	PROPN
ajst-23609	225	15	al	al	PROPN
ajst-23609	225	16	.	.	PUNCT
ajst-23609	226	1	a	a	DET
ajst-23609	226	2	finger	finger	NOUN
ajst-23609	226	3	-	-	PUNCT
ajst-23609	226	4	vein	vein	ADJ
ajst-23609	226	5	verification	verification	NOUN
ajst-23609	226	6	system	system	NOUN
ajst-23609	226	7	using	use	VERB
ajst-23609	226	8	mean	mean	NOUN
ajst-23609	226	9	curvature[j	curvature[j	PROPN
ajst-23609	226	10	]	]	PUNCT
ajst-23609	226	11	.	.	PUNCT
ajst-23609	227	1	pattern	pattern	NOUN
ajst-23609	227	2	recognition	recognition	NOUN
ajst-23609	227	3	letters	letter	NOUN
ajst-23609	227	4	,	,	PUNCT
ajst-23609	227	5	2011	2011	NUM
ajst-23609	227	6	,	,	PUNCT
ajst-23609	227	7	32(11	32(11	NUM
ajst-23609	227	8	):	):	PUNCT
ajst-23609	227	9	1541	1541	NUM
ajst-23609	227	10	-	-	SYM
ajst-23609	227	11	1547	1547	NUM
ajst-23609	227	12	.	.	PUNCT
ajst-23609	228	1	[	[	X
ajst-23609	228	2	31	31	NUM
ajst-23609	228	3	]	]	X
ajst-23609	228	4	lee	lee	PROPN
ajst-23609	228	5	,	,	PUNCT
ajst-23609	228	6	e.c	e.c	PROPN
ajst-23609	228	7	.	.	PROPN
ajst-23609	228	8	,	,	PUNCT
ajst-23609	228	9	jung	jung	PROPN
ajst-23609	228	10	,	,	PUNCT
ajst-23609	228	11	h.	h.	PROPN
ajst-23609	228	12	,	,	PUNCT
ajst-23609	228	13	kim	kim	PROPN
ajst-23609	228	14	,	,	PUNCT
ajst-23609	228	15	d.	d.	PROPN
ajst-23609	228	16	:	:	PUNCT
ajst-23609	228	17	new	new	ADJ
ajst-23609	228	18	finger	finger	NOUN
ajst-23609	228	19	biometric	biometric	ADJ
ajst-23609	228	20	method	method	NOUN
ajst-23609	228	21	using	use	VERB
ajst-23609	228	22	near	near	ADP
ajst-23609	228	23	infrared	infrared	ADJ
ajst-23609	228	24	imaging	imaging	NOUN
ajst-23609	228	25	.	.	PUNCT
ajst-23609	228	26	sensors	sensor	NOUN
ajst-23609	228	27	11(3	11(3	NUM
ajst-23609	228	28	)	)	PUNCT
ajst-23609	228	29	,	,	PUNCT
ajst-23609	228	30	2319–2333	2319–2333	NUM
ajst-23609	228	31	(	(	PUNCT
ajst-23609	228	32	2011	2011	NUM
ajst-23609	228	33	)	)	PUNCT
ajst-23609	228	34	.	.	PUNCT
ajst-23609	229	1	[	[	X
ajst-23609	229	2	32	32	NUM
ajst-23609	229	3	]	]	X
ajst-23609	229	4	rosdi	rosdi	NOUN
ajst-23609	229	5	,	,	PUNCT
ajst-23609	229	6	b.a	b.a	PROPN
ajst-23609	229	7	.	.	PROPN
ajst-23609	229	8	;	;	PUNCT
ajst-23609	229	9	shing	shing	PROPN
ajst-23609	229	10	,	,	PUNCT
ajst-23609	229	11	c.w	c.w	PROPN
ajst-23609	229	12	.	.	PROPN
ajst-23609	229	13	;	;	PUNCT
ajst-23609	229	14	suandi	suandi	PROPN
ajst-23609	229	15	,	,	PUNCT
ajst-23609	229	16	s.a	s.a	PROPN
ajst-23609	229	17	.	.	PROPN
ajst-23609	229	18	finger	finger	PROPN
ajst-23609	229	19	vein	vein	VERB
ajst-23609	229	20	recognition	recognition	NOUN
ajst-23609	229	21	using	use	VERB
ajst-23609	229	22	local	local	ADJ
ajst-23609	229	23	line	line	NOUN
ajst-23609	229	24	binary	binary	NOUN
ajst-23609	229	25	pattern	pattern	NOUN
ajst-23609	229	26	.	.	PUNCT
ajst-23609	230	1	sensors	sensor	NOUN
ajst-23609	230	2	2011	2011	NUM
ajst-23609	230	3	,	,	PUNCT
ajst-23609	230	4	11	11	NUM
ajst-23609	230	5	,	,	PUNCT
ajst-23609	230	6	11357	11357	NUM
ajst-23609	230	7	-	-	SYM
ajst-23609	230	8	11371	11371	NUM
ajst-23609	230	9	.	.	PUNCT
ajst-23609	231	1	[	[	X
ajst-23609	231	2	33	33	NUM
ajst-23609	231	3	]	]	PUNCT
ajst-23609	231	4	r.r.o	r.r.o	NOUN
ajst-23609	231	5	.	.	PUNCT
ajst-23609	232	1	al	al	PROPN
ajst-23609	232	2	-	-	PUNCT
ajst-23609	232	3	nima	nima	PROPN
ajst-23609	232	4	,	,	PUNCT
ajst-23609	232	5	m.a.m	m.a.m	PROPN
ajst-23609	232	6	.	.	PROPN
ajst-23609	232	7	abdullah	abdullah	PROPN
ajst-23609	232	8	,	,	PUNCT
ajst-23609	232	9	m.t.s	m.t.s	NOUN
ajst-23609	232	10	.	.	PUNCT
ajst-23609	233	1	al	al	PROPN
ajst-23609	233	2	-	-	PUNCT
ajst-23609	233	3	kaltakchi	kaltakchi	PROPN
ajst-23609	233	4	,	,	PUNCT
ajst-23609	233	5	s.s	s.s	PROPN
ajst-23609	233	6	.	.	PROPN
ajst-23609	233	7	dlay	dlay	PROPN
ajst-23609	233	8	,	,	PUNCT
ajst-23609	233	9	w.l	w.l	PROPN
ajst-23609	233	10	.	.	PROPN
ajst-23609	233	11	woo	woo	PROPN
ajst-23609	233	12	,	,	PUNCT
ajst-23609	233	13	j.a	j.a	PROPN
ajst-23609	233	14	.	.	PROPN
ajst-23609	233	15	chambers	chamber	NOUN
ajst-23609	233	16	,	,	PUNCT
ajst-23609	233	17	finger	finger	NOUN
ajst-23609	233	18	texture	texture	NOUN
ajst-23609	233	19	biometric	biometric	ADJ
ajst-23609	233	20	verification	verification	NOUN
ajst-23609	233	21	exploiting	exploit	VERB
ajst-23609	233	22	multi	multi	ADJ
ajst-23609	233	23	-	-	ADJ
ajst-23609	233	24	scale	scale	ADJ
ajst-23609	233	25	sobel	sobel	NOUN
ajst-23609	233	26	angles	angle	VERB
ajst-23609	233	27	local	local	ADJ
ajst-23609	233	28	binary	binary	ADJ
ajst-23609	233	29	pattern	pattern	NOUN
ajst-23609	233	30	features	feature	NOUN
ajst-23609	233	31	and	and	CCONJ
ajst-23609	233	32	score	score	NOUN
ajst-23609	233	33	-	-	PUNCT
ajst-23609	233	34	based	base	VERB
ajst-23609	233	35	fusion	fusion	NOUN
ajst-23609	233	36	,	,	PUNCT
ajst-23609	233	37	digital	digital	ADJ
ajst-23609	233	38	signal	signal	NOUN
ajst-23609	233	39	processing	processing	NOUN
ajst-23609	233	40	,	,	PUNCT
ajst-23609	233	41	volume	volume	NOUN
ajst-23609	233	42	70	70	NUM
ajst-23609	233	43	,	,	PUNCT
ajst-23609	233	44	2017	2017	NUM
ajst-23609	233	45	,	,	PUNCT
ajst-23609	233	46	pages	page	NOUN
ajst-23609	233	47	178	178	NUM
ajst-23609	233	48	-	-	SYM
ajst-23609	233	49	189	189	NUM
ajst-23609	233	50	.	.	PUNCT
ajst-23609	234	1	[	[	X
ajst-23609	234	2	34	34	NUM
ajst-23609	234	3	]	]	X
ajst-23609	234	4	yu	yu	PROPN
ajst-23609	234	5	cb	cb	PROPN
ajst-23609	234	6	,	,	PUNCT
ajst-23609	234	7	qin	qin	PROPN
ajst-23609	234	8	hf	hf	PROPN
ajst-23609	234	9	,	,	PUNCT
ajst-23609	234	10	cui	cui	PROPN
ajst-23609	234	11	yz	yz	PROPN
ajst-23609	234	12	,	,	PUNCT
ajst-23609	234	13	hu	hu	PROPN
ajst-23609	234	14	xq	xq	PROPN
ajst-23609	234	15	.	.	PUNCT
ajst-23609	234	16	finger	finger	NOUN
ajst-23609	234	17	-	-	PUNCT
ajst-23609	234	18	vein	vein	ADJ
ajst-23609	234	19	image	image	NOUN
ajst-23609	234	20	recognition	recognition	NOUN
ajst-23609	234	21	combining	combine	VERB
ajst-23609	234	22	modified	modify	VERB
ajst-23609	234	23	hausdorff	hausdorff	NOUN
ajst-23609	234	24	distance	distance	NOUN
ajst-23609	234	25	with	with	ADP
ajst-23609	234	26	minutiae	minutia	NOUN
ajst-23609	234	27	feature	feature	NOUN
ajst-23609	234	28	matching	matching	NOUN
ajst-23609	234	29	.	.	PUNCT
ajst-23609	235	1	interdiscip	interdiscip	PROPN
ajst-23609	235	2	sci	sci	PROPN
ajst-23609	235	3	.	.	PROPN
ajst-23609	235	4	2009	2009	NUM
ajst-23609	235	5	dec;1(4):2809	dec;1(4):2809	NOUN
ajst-23609	235	6	.	.	PUNCT
ajst-23609	236	1	[	[	X
ajst-23609	236	2	35	35	NUM
ajst-23609	236	3	]	]	SYM
ajst-23609	236	4	mantrao	mantrao	NOUN
ajst-23609	236	5	,	,	PUNCT
ajst-23609	236	6	n.	n.	NOUN
ajst-23609	236	7	;	;	PUNCT
ajst-23609	236	8	sukhpreet	sukhpreet	PROPN
ajst-23609	236	9	,	,	PUNCT
ajst-23609	236	10	k.	k.	PROPN
ajst-23609	237	1	an	an	DET
ajst-23609	237	2	efficient	efficient	ADJ
ajst-23609	237	3	minutiae	minutia	NOUN
ajst-23609	237	4	matching	matching	NOUN
ajst-23609	237	5	method	method	NOUN
ajst-23609	237	6	for	for	ADP
ajst-23609	237	7	finger	finger	NOUN
ajst-23609	237	8	vein	vein	NOUN
ajst-23609	237	9	recognition	recognition	NOUN
ajst-23609	237	10	.	.	PUNCT
ajst-23609	238	1	int	int	NOUN
ajst-23609	238	2	.	.	PUNCT
ajst-23609	239	1	j.	j.	PROPN
ajst-23609	239	2	adv	adv	PROPN
ajst-23609	239	3	.	.	PUNCT
ajst-23609	240	1	res	re	NOUN
ajst-23609	240	2	.	.	PUNCT
ajst-23609	241	1	comput	comput	PROPN
ajst-23609	241	2	.	.	PUNCT
ajst-23609	242	1	sci	sci	PROPN
ajst-23609	242	2	.	.	PUNCT
ajst-23609	242	3	softw	softw	PROPN
ajst-23609	242	4	.	.	PUNCT
ajst-23609	243	1	eng	eng	PROPN
ajst-23609	243	2	2015	2015	NUM
ajst-23609	243	3	,	,	PUNCT
ajst-23609	243	4	5	5	NUM
ajst-23609	243	5	,	,	PUNCT
ajst-23609	243	6	657–660	657–660	NUM
ajst-23609	243	7	.	.	PUNCT
ajst-23609	244	1	[	[	X
ajst-23609	244	2	36	36	NUM
ajst-23609	244	3	]	]	X
ajst-23609	244	4	olsen	olsen	PROPN
ajst-23609	244	5	,	,	PUNCT
ajst-23609	244	6	m.a	m.a	PROPN
ajst-23609	244	7	.	.	PROPN
ajst-23609	244	8	;	;	PUNCT
ajst-23609	244	9	hartung	hartung	PROPN
ajst-23609	244	10	,	,	PUNCT
ajst-23609	244	11	d.	d.	PROPN
ajst-23609	244	12	;	;	PUNCT
ajst-23609	244	13	busch	busch	PROPN
ajst-23609	244	14	,	,	PUNCT
ajst-23609	244	15	c.	c.	PROPN
ajst-23609	244	16	;	;	PUNCT
ajst-23609	244	17	larsen	larsen	PROPN
ajst-23609	244	18	,	,	PUNCT
ajst-23609	244	19	r.	r.	PROPN
ajst-23609	244	20	,	,	PUNCT
ajst-23609	244	21	“	"	PUNCT
ajst-23609	244	22	convolution	convolution	NOUN
ajst-23609	244	23	approach	approach	NOUN
ajst-23609	244	24	for	for	ADP
ajst-23609	244	25	feature	feature	NOUN
ajst-23609	244	26	detection	detection	NOUN
ajst-23609	244	27	in	in	ADP
ajst-23609	244	28	topological	topological	ADJ
ajst-23609	244	29	skeletons	skeleton	NOUN
ajst-23609	244	30	obtained	obtain	VERB
ajst-23609	244	31	from	from	ADP
ajst-23609	244	32	vascular	vascular	ADJ
ajst-23609	244	33	patterns	pattern	NOUN
ajst-23609	244	34	,	,	PUNCT
ajst-23609	244	35	”	"	PUNCT
ajst-23609	244	36	computational	computational	ADJ
ajst-23609	244	37	intelligence	intelligence	NOUN
ajst-23609	244	38	in	in	ADP
ajst-23609	244	39	biometrics	biometric	NOUN
ajst-23609	244	40	and	and	CCONJ
ajst-23609	244	41	identity	identity	NOUN
ajst-23609	244	42	management	management	NOUN
ajst-23609	244	43	(	(	PUNCT
ajst-23609	244	44	cibim	cibim	NOUN
ajst-23609	244	45	)	)	PUNCT
ajst-23609	244	46	,	,	PUNCT
ajst-23609	244	47	2011	2011	NUM
ajst-23609	244	48	ieee	ieee	NOUN
ajst-23609	244	49	workshop	workshop	NOUN
ajst-23609	244	50	on	on	ADP
ajst-23609	244	51	,	,	PUNCT
ajst-23609	244	52	vol	vol	NOUN
ajst-23609	244	53	.	.	PROPN
ajst-23609	244	54	,	,	PUNCT
ajst-23609	244	55	no	no	INTJ
ajst-23609	244	56	.	.	PROPN
ajst-23609	244	57	,	,	PUNCT
ajst-23609	244	58	pp.163,167	pp.163,167	ADJ
ajst-23609	244	59	,	,	PUNCT
ajst-23609	244	60	11	11	NUM
ajst-23609	244	61	-	-	SYM
ajst-23609	244	62	15	15	NUM
ajst-23609	244	63	april	april	PROPN
ajst-23609	244	64	2011	2011	NUM
ajst-23609	244	65	.	.	PUNCT
ajst-23609	245	1	[	[	X
ajst-23609	245	2	37	37	NUM
ajst-23609	245	3	]	]	PUNCT
ajst-23609	245	4	prabhakar	prabhakar	NOUN
ajst-23609	245	5	,	,	PUNCT
ajst-23609	245	6	preethy	preethy	ADJ
ajst-23609	245	7	,	,	PUNCT
ajst-23609	245	8	and	and	CCONJ
ajst-23609	245	9	tony	tony	PROPN
ajst-23609	245	10	thomas	thomas	PROPN
ajst-23609	245	11	.	.	PUNCT
ajst-23609	246	1	"	"	PUNCT
ajst-23609	246	2	finger	finger	NOUN
ajst-23609	246	3	vein	vein	VERB
ajst-23609	246	4	identification	identification	NOUN
ajst-23609	246	5	based	base	VERB
ajst-23609	246	6	on	on	ADP
ajst-23609	246	7	minutiae	minutia	NOUN
ajst-23609	246	8	feature	feature	NOUN
ajst-23609	246	9	extraction	extraction	NOUN
ajst-23609	246	10	with	with	ADP
ajst-23609	246	11	spurious	spurious	ADJ
ajst-23609	246	12	minutiae	minutia	NOUN
ajst-23609	246	13	removal	removal	NOUN
ajst-23609	246	14	.	.	PUNCT
ajst-23609	246	15	"	"	PUNCT
ajst-23609	247	1	in	in	ADP
ajst-23609	247	2	advances	advance	NOUN
ajst-23609	247	3	in	in	ADP
ajst-23609	247	4	computing	computing	NOUN
ajst-23609	247	5	and	and	CCONJ
ajst-23609	247	6	comm	comm	NOUN
ajst-23609	247	7	-	-	PUNCT
ajst-23609	247	8	unications	unication	NOUN
ajst-23609	247	9	(	(	PUNCT
ajst-23609	247	10	icacc	icacc	PROPN
ajst-23609	247	11	)	)	PUNCT
ajst-23609	247	12	,	,	PUNCT
ajst-23609	247	13	2013	2013	NUM
ajst-23609	247	14	third	third	ADJ
ajst-23609	247	15	international	international	ADJ
ajst-23609	247	16	conference	conference	NOUN
ajst-23609	247	17	on	on	ADP
ajst-23609	247	18	,	,	PUNCT
ajst-23609	247	19	pp	pp	PROPN
ajst-23609	247	20	.	.	PUNCT
ajst-23609	248	1	196	196	NUM
ajst-23609	248	2	-	-	SYM
ajst-23609	248	3	199	199	NUM
ajst-23609	248	4	.	.	PUNCT
ajst-23609	248	5	ieee	ieee	PROPN
ajst-23609	248	6	,	,	PUNCT
ajst-23609	248	7	2013	2013	NUM
ajst-23609	248	8	.	.	PUNCT
ajst-23609	249	1	[	[	X
ajst-23609	249	2	38	38	NUM
ajst-23609	249	3	]	]	X
ajst-23609	249	4	kaur	kaur	PROPN
ajst-23609	249	5	,	,	PUNCT
ajst-23609	249	6	k.b.s	k.b.s	PROPN
ajst-23609	249	7	.	.	PUNCT
ajst-23609	249	8	finger	finger	NOUN
ajst-23609	249	9	vein	vein	VERB
ajst-23609	249	10	recognition	recognition	NOUN
ajst-23609	249	11	using	use	VERB
ajst-23609	249	12	minutiae	minutia	NOUN
ajst-23609	249	13	extraction	extraction	NOUN
ajst-23609	249	14	and	and	CCONJ
ajst-23609	249	15	curve	curve	NOUN
ajst-23609	249	16	analysis	analysis	NOUN
ajst-23609	249	17	.	.	PUNCT
ajst-23609	250	1	int	int	NOUN
ajst-23609	250	2	.	.	PUNCT
ajst-23609	251	1	j.	j.	PROPN
ajst-23609	251	2	sci	sci	PROPN
ajst-23609	251	3	.	.	PUNCT
ajst-23609	252	1	res	res	PROPN
ajst-23609	252	2	.	.	PUNCT
ajst-23609	253	1	(	(	PUNCT
ajst-23609	253	2	ijsr	ijsr	NOUN
ajst-23609	253	3	)	)	PUNCT
ajst-23609	253	4	2015	2015	NUM
ajst-23609	253	5	,	,	PUNCT
ajst-23609	253	6	4	4	NUM
ajst-23609	253	7	,	,	PUNCT
ajst-23609	253	8	2402–2405	2402–2405	NUM
ajst-23609	253	9	.	.	PUNCT
ajst-23609	254	1	[	[	X
ajst-23609	254	2	39	39	NUM
ajst-23609	254	3	]	]	X
ajst-23609	254	4	itqan	itqan	NOUN
ajst-23609	254	5	,	,	PUNCT
ajst-23609	254	6	k.s	k.s	PROPN
ajst-23609	254	7	.	.	PROPN
ajst-23609	254	8	;	;	PUNCT
ajst-23609	254	9	syafeeza	syafeeza	PROPN
ajst-23609	254	10	,	,	PUNCT
ajst-23609	254	11	a.r	a.r	PROPN
ajst-23609	254	12	.	.	PROPN
ajst-23609	254	13	;	;	PUNCT
ajst-23609	254	14	gong	gong	PROPN
ajst-23609	254	15	,	,	PUNCT
ajst-23609	254	16	f.g	f.g	PROPN
ajst-23609	254	17	.	.	PROPN
ajst-23609	254	18	;	;	PUNCT
ajst-23609	254	19	mustafa	mustafa	PROPN
ajst-23609	254	20	,	,	PUNCT
ajst-23609	254	21	n.	n.	PROPN
ajst-23609	254	22	;	;	PUNCT
ajst-23609	254	23	wong	wong	PROPN
ajst-23609	254	24	,	,	PUNCT
ajst-23609	254	25	y.c	y.c	PROPN
ajst-23609	254	26	.	.	PROPN
ajst-23609	254	27	;	;	PUNCT
ajst-23609	254	28	ibrahim	ibrahim	PROPN
ajst-23609	254	29	,	,	PUNCT
ajst-23609	254	30	m.m	m.m	PROPN
ajst-23609	254	31	.	.	PROPN
ajst-23609	254	32	user	user	NOUN
ajst-23609	254	33	identification	identification	NOUN
ajst-23609	254	34	system	system	NOUN
ajst-23609	254	35	based	base	VERB
ajst-23609	254	36	on	on	ADP
ajst-23609	254	37	finger	finger	NOUN
ajst-23609	254	38	-	-	PUNCT
ajst-23609	254	39	vein	vein	ADJ
ajst-23609	254	40	patterns	pattern	NOUN
ajst-23609	254	41	using	use	VERB
ajst-23609	254	42	convolutional	convolutional	ADJ
ajst-23609	254	43	neural	neural	ADJ
ajst-23609	254	44	network	network	NOUN
ajst-23609	254	45	.	.	PUNCT
ajst-23609	254	46	arpn	arpn	VERB
ajst-23609	254	47	j.	j.	PROPN
ajst-23609	254	48	eng	eng	PROPN
ajst-23609	254	49	.	.	PROPN
ajst-23609	254	50	appl	appl	PROPN
ajst-23609	254	51	.	.	PUNCT
ajst-23609	255	1	sci	sci	PROPN
ajst-23609	255	2	.	.	PROPN
ajst-23609	255	3	2016	2016	NUM
ajst-23609	255	4	,	,	PUNCT
ajst-23609	255	5	11	11	NUM
ajst-23609	255	6	,	,	PUNCT
ajst-23609	255	7	3316–3319	3316–3319	NUM
ajst-23609	255	8	.	.	PUNCT
ajst-23609	256	1	[	[	X
ajst-23609	256	2	40	40	NUM
ajst-23609	256	3	]	]	X
ajst-23609	256	4	h.	h.	PROPN
ajst-23609	256	5	hong	hong	PROPN
ajst-23609	256	6	,	,	PUNCT
ajst-23609	256	7	m.	m.	PROPN
ajst-23609	256	8	lee	lee	PROPN
ajst-23609	256	9	,	,	PUNCT
ajst-23609	256	10	and	and	CCONJ
ajst-23609	256	11	k.	k.	PROPN
ajst-23609	256	12	park	park	PROPN
ajst-23609	256	13	,	,	PUNCT
ajst-23609	256	14	“	"	PUNCT
ajst-23609	256	15	convolutional	convolutional	ADJ
ajst-23609	256	16	neural	neural	ADJ
ajst-23609	256	17	networkbased	networkbased	ADJ
ajst-23609	256	18	finger	finger	NOUN
ajst-23609	256	19	-	-	PUNCT
ajst-23609	256	20	vein	vein	ADJ
ajst-23609	256	21	recognition	recognition	NOUN
ajst-23609	256	22	using	use	VERB
ajst-23609	256	23	nir	nir	ADJ
ajst-23609	256	24	image	image	NOUN
ajst-23609	256	25	sensors	sensor	NOUN
ajst-23609	256	26	,	,	PUNCT
ajst-23609	256	27	”	"	PUNCT
ajst-23609	256	28	sensors	sensor	NOUN
ajst-23609	256	29	,	,	PUNCT
ajst-23609	256	30	vol	vol	NOUN
ajst-23609	256	31	.	.	PROPN
ajst-23609	256	32	17	17	NUM
ajst-23609	256	33	,	,	PUNCT
ajst-23609	256	34	no	no	INTJ
ajst-23609	256	35	.	.	NOUN
ajst-23609	256	36	6	6	NUM
ajst-23609	256	37	,	,	PUNCT
ajst-23609	256	38	pp	pp	ADJ
ajst-23609	256	39	.	.	PUNCT
ajst-23609	257	1	1–21	1–21	PROPN
ajst-23609	257	2	,	,	PUNCT
ajst-23609	257	3	2017	2017	NUM
ajst-23609	257	4	.	.	PUNCT
ajst-23609	258	1	[	[	X
ajst-23609	258	2	41	41	NUM
ajst-23609	258	3	]	]	X
ajst-23609	258	4	h.	h.	PROPN
ajst-23609	258	5	huang	huang	PROPN
ajst-23609	258	6	,	,	PUNCT
ajst-23609	258	7	s.	s.	PROPN
ajst-23609	258	8	liu	liu	PROPN
ajst-23609	258	9	,	,	PUNCT
ajst-23609	258	10	h.	h.	PROPN
ajst-23609	258	11	zheng	zheng	PROPN
ajst-23609	258	12	,	,	PUNCT
ajst-23609	258	13	l.	l.	PROPN
ajst-23609	258	14	ni	ni	PROPN
ajst-23609	258	15	,	,	PUNCT
ajst-23609	258	16	y.	y.	PROPN
ajst-23609	258	17	zhang	zhang	PROPN
ajst-23609	258	18	,	,	PUNCT
ajst-23609	258	19	and	and	CCONJ
ajst-23609	258	20	w.	w.	PROPN
ajst-23609	258	21	li	li	PROPN
ajst-23609	258	22	,	,	PUNCT
ajst-23609	258	23	“	"	PUNCT
ajst-23609	258	24	deepvein	deepvein	ADJ
ajst-23609	258	25	:	:	PUNCT
ajst-23609	258	26	novel	novel	ADJ
ajst-23609	258	27	finger	finger	NOUN
ajst-23609	258	28	vein	vein	VERB
ajst-23609	258	29	verification	verification	NOUN
ajst-23609	258	30	methods	method	NOUN
ajst-23609	258	31	based	base	VERB
ajst-23609	258	32	on	on	ADP
ajst-23609	258	33	deep	deep	ADJ
ajst-23609	258	34	convolutional	convolutional	ADJ
ajst-23609	258	35	neural	neural	ADJ
ajst-23609	258	36	networks	network	NOUN
ajst-23609	258	37	,	,	PUNCT
ajst-23609	258	38	”	"	PUNCT
ajst-23609	258	39	in	in	ADP
ajst-23609	258	40	ieee	ieee	PROPN
ajst-23609	258	41	international	international	ADJ
ajst-23609	258	42	conference	conference	NOUN
ajst-23609	258	43	on	on	ADP
ajst-23609	258	44	identity	identity	NOUN
ajst-23609	258	45	,	,	PUNCT
ajst-23609	258	46	security	security	NOUN
ajst-23609	258	47	and	and	CCONJ
ajst-23609	258	48	behavior	behavior	NOUN
ajst-23609	258	49	analysis	analysis	NOUN
ajst-23609	258	50	,	,	PUNCT
ajst-23609	258	51	2017	2017	NUM
ajst-23609	258	52	.	.	PUNCT
ajst-23609	259	1	[	[	X
ajst-23609	259	2	42	42	NUM
ajst-23609	259	3	]	]	X
ajst-23609	259	4	h.	h.	PROPN
ajst-23609	259	5	qin	qin	PROPN
ajst-23609	259	6	and	and	CCONJ
ajst-23609	259	7	m.	m.	PROPN
ajst-23609	259	8	a.	a.	PROPN
ajst-23609	259	9	el	el	PROPN
ajst-23609	259	10	-	-	PROPN
ajst-23609	259	11	yacoubi	yacoubi	ADV
ajst-23609	259	12	,	,	PUNCT
ajst-23609	259	13	“	"	PUNCT
ajst-23609	259	14	deep	deep	ADJ
ajst-23609	259	15	representation	representation	NOUN
ajst-23609	259	16	-	-	PUNCT
ajst-23609	259	17	based	base	VERB
ajst-23609	259	18	feature	feature	NOUN
ajst-23609	259	19	extraction	extraction	NOUN
ajst-23609	259	20	and	and	CCONJ
ajst-23609	259	21	recovering	recover	VERB
ajst-23609	259	22	for	for	ADP
ajst-23609	259	23	finger	finger	NOUN
ajst-23609	259	24	-	-	PUNCT
ajst-23609	259	25	vein	vein	ADJ
ajst-23609	259	26	verification	verification	NOUN
ajst-23609	259	27	,	,	PUNCT
ajst-23609	259	28	”	"	PUNCT
ajst-23609	259	29	ieee	ieee	NOUN
ajst-23609	259	30	trans	trans	PROPN
ajst-23609	259	31	.	.	PUNCT
ajst-23609	260	1	on	on	ADP
ajst-23609	260	2	inf	inf	PROPN
ajst-23609	260	3	.	.	PUNCT
ajst-23609	260	4	forensics	forensic	NOUN
ajst-23609	260	5	and	and	CCONJ
ajst-23609	260	6	security	security	NOUN
ajst-23609	260	7	,	,	PUNCT
ajst-23609	260	8	vol	vol	NOUN
ajst-23609	260	9	.	.	PROPN
ajst-23609	260	10	12	12	NUM
ajst-23609	260	11	,	,	PUNCT
ajst-23609	260	12	no	no	INTJ
ajst-23609	260	13	.	.	NOUN
ajst-23609	260	14	8	8	NUM
ajst-23609	260	15	,	,	PUNCT
ajst-23609	260	16	pp	pp	ADJ
ajst-23609	260	17	.	.	PUNCT
ajst-23609	261	1	1816–1829	1816–1829	NUM
ajst-23609	261	2	,	,	PUNCT
ajst-23609	261	3	aug	aug	PROPN
ajst-23609	261	4	2017	2017	NUM
ajst-23609	261	5	.	.	PUNCT
ajst-23609	262	1	[	[	X
ajst-23609	262	2	43	43	NUM
ajst-23609	262	3	]	]	X
ajst-23609	262	4	das	das	PROPN
ajst-23609	262	5	r	r	NOUN
ajst-23609	262	6	,	,	PUNCT
ajst-23609	262	7	piciucco	piciucco	NOUN
ajst-23609	262	8	e	e	NOUN
ajst-23609	262	9	,	,	PUNCT
ajst-23609	262	10	maiorana	maiorana	PROPN
ajst-23609	262	11	e	e	NOUN
ajst-23609	262	12	,	,	PUNCT
ajst-23609	262	13	et	et	PROPN
ajst-23609	262	14	al	al	PROPN
ajst-23609	262	15	.	.	PUNCT
ajst-23609	263	1	convolutional	convolutional	ADJ
ajst-23609	263	2	neural	neural	ADJ
ajst-23609	263	3	network	network	NOUN
ajst-23609	263	4	for	for	ADP
ajst-23609	263	5	finger	finger	NOUN
ajst-23609	263	6	-	-	PUNCT
ajst-23609	263	7	vein	vein	NOUN
ajst-23609	263	8	-	-	PUNCT
ajst-23609	263	9	based	base	VERB
ajst-23609	263	10	biometric	biometric	ADJ
ajst-23609	263	11	identification[j	identification[j	PROPN
ajst-23609	263	12	]	]	PUNCT
ajst-23609	263	13	.	.	PUNCT
ajst-23609	264	1	ieee	ieee	NOUN
ajst-23609	264	2	transactions	transaction	NOUN
ajst-23609	264	3	on	on	ADP
ajst-23609	264	4	information	information	NOUN
ajst-23609	264	5	forensics	forensic	NOUN
ajst-23609	264	6	and	and	CCONJ
ajst-23609	264	7	security	security	NOUN
ajst-23609	264	8	,	,	PUNCT
ajst-23609	264	9	2018	2018	NUM
ajst-23609	264	10	,	,	PUNCT
ajst-23609	264	11	14(2	14(2	NUM
ajst-23609	264	12	):	):	PUNCT
ajst-23609	264	13	360	360	NUM
ajst-23609	264	14	-	-	SYM
ajst-23609	264	15	373	373	NUM
ajst-23609	264	16	.	.	PUNCT
ajst-23609	265	1	[	[	X
ajst-23609	265	2	44	44	NUM
ajst-23609	265	3	]	]	X
ajst-23609	265	4	qin	qin	PROPN
ajst-23609	265	5	h	h	PROPN
ajst-23609	265	6	,	,	PUNCT
ajst-23609	265	7	wang	wang	PROPN
ajst-23609	265	8	p.	p.	PROPN
ajst-23609	265	9	finger	finger	NOUN
ajst-23609	265	10	-	-	PUNCT
ajst-23609	265	11	vein	vein	ADJ
ajst-23609	265	12	verification	verification	NOUN
ajst-23609	265	13	based	base	VERB
ajst-23609	265	14	on	on	ADP
ajst-23609	265	15	lstm	lstm	PROPN
ajst-23609	265	16	recurrent	recurrent	ADJ
ajst-23609	265	17	neural	neural	ADJ
ajst-23609	265	18	networks[j	networks[j	PROPN
ajst-23609	265	19	]	]	PUNCT
ajst-23609	265	20	.	.	PUNCT
ajst-23609	266	1	applied	apply	VERB
ajst-23609	266	2	sciences	science	NOUN
ajst-23609	266	3	,	,	PUNCT
ajst-23609	266	4	2019	2019	NUM
ajst-23609	266	5	,	,	PUNCT
ajst-23609	266	6	9(8	9(8	NUM
ajst-23609	266	7	):	):	PUNCT
ajst-23609	266	8	1687	1687	NUM
ajst-23609	266	9	.	.	PUNCT
ajst-23609	267	1	[	[	X
ajst-23609	267	2	45	45	NUM
ajst-23609	267	3	]	]	X
ajst-23609	267	4	devkota	devkota	PROPN
ajst-23609	267	5	n	n	CCONJ
ajst-23609	267	6	,	,	PUNCT
ajst-23609	267	7	kim	kim	PROPN
ajst-23609	267	8	b	b	PROPN
ajst-23609	267	9	w.	w.	PROPN
ajst-23609	267	10	finger	finger	PROPN
ajst-23609	267	11	vein	vein	VERB
ajst-23609	267	12	recognition	recognition	NOUN
ajst-23609	267	13	using	use	VERB
ajst-23609	267	14	densenet	densenet	NOUN
ajst-23609	267	15	with	with	ADP
ajst-23609	267	16	a	a	DET
ajst-23609	267	17	channel	channel	NOUN
ajst-23609	267	18	attention	attention	NOUN
ajst-23609	267	19	mechanism	mechanism	NOUN
ajst-23609	267	20	and	and	CCONJ
ajst-23609	267	21	hybrid	hybrid	NOUN
ajst-23609	267	22	pooling[j	pooling[j	PROPN
ajst-23609	267	23	]	]	PUNCT
ajst-23609	267	24	.	.	PUNCT
ajst-23609	268	1	electronics	electronic	NOUN
ajst-23609	268	2	,	,	PUNCT
ajst-23609	268	3	2024	2024	NUM
ajst-23609	268	4	,	,	PUNCT
ajst-23609	268	5	13(3	13(3	NUM
ajst-23609	268	6	):	):	PUNCT
ajst-23609	268	7	501	501	NUM
ajst-23609	268	8	.	.	PUNCT
ajst-23609	269	1	[	[	X
ajst-23609	269	2	46	46	NUM
ajst-23609	269	3	]	]	X
ajst-23609	269	4	lu	lu	PROPN
ajst-23609	269	5	h	h	NOUN
ajst-23609	269	6	,	,	PUNCT
ajst-23609	269	7	li	li	PROPN
ajst-23609	269	8	y	y	PROPN
ajst-23609	269	9	,	,	PUNCT
ajst-23609	269	10	zhao	zhao	PROPN
ajst-23609	269	11	c	c	PROPN
ajst-23609	269	12	,	,	PUNCT
ajst-23609	269	13	et	et	PROPN
ajst-23609	269	14	al	al	PROPN
ajst-23609	269	15	.	.	PUNCT
ajst-23609	270	1	a	a	DET
ajst-23609	270	2	novel	novel	ADJ
ajst-23609	270	3	finger	finger	NOUN
ajst-23609	270	4	-	-	PUNCT
ajst-23609	270	5	vein	vein	ADJ
ajst-23609	270	6	recognition	recognition	NOUN
ajst-23609	270	7	approach	approach	NOUN
ajst-23609	270	8	based	base	VERB
ajst-23609	270	9	on	on	ADP
ajst-23609	270	10	vision	vision	NOUN
ajst-23609	270	11	transformer[c]//international	transformer[c]//international	PROPN
ajst-23609	270	12	conference	conference	NOUN
ajst-23609	270	13	on	on	ADP
ajst-23609	270	14	frontiers	frontier	NOUN
ajst-23609	270	15	of	of	ADP
ajst-23609	270	16	electronics	electronic	NOUN
ajst-23609	270	17	,	,	PUNCT
ajst-23609	270	18	information	information	NOUN
ajst-23609	270	19	and	and	CCONJ
ajst-23609	270	20	computation	computation	NOUN
ajst-23609	270	21	technologies	technology	NOUN
ajst-23609	270	22	.	.	PUNCT
ajst-23609	271	1	2021	2021	NUM
ajst-23609	271	2	:	:	PUNCT
ajst-23609	271	3	1	1	NUM
ajst-23609	271	4	-	-	SYM
ajst-23609	271	5	6	6	NUM
ajst-23609	271	6	.	.	PUNCT
ajst-23609	272	1	[	[	X
ajst-23609	272	2	47	47	NUM
ajst-23609	272	3	]	]	X
ajst-23609	272	4	qin	qin	PROPN
ajst-23609	272	5	h	h	PROPN
ajst-23609	272	6	,	,	PUNCT
ajst-23609	272	7	gong	gong	PROPN
ajst-23609	272	8	c	c	PROPN
ajst-23609	272	9	,	,	PUNCT
ajst-23609	272	10	li	li	PROPN
ajst-23609	272	11	y	y	PROPN
ajst-23609	272	12	,	,	PUNCT
ajst-23609	272	13	et	et	PROPN
ajst-23609	272	14	al	al	PROPN
ajst-23609	272	15	.	.	PUNCT
ajst-23609	272	16	attention	attention	NOUN
ajst-23609	272	17	label	label	NOUN
ajst-23609	272	18	learning	learn	VERB
ajst-23609	272	19	to	to	PART
ajst-23609	272	20	enhance	enhance	VERB
ajst-23609	272	21	interactive	interactive	ADJ
ajst-23609	272	22	vein	vein	ADJ
ajst-23609	272	23	transformer	transformer	NOUN
ajst-23609	272	24	for	for	ADP
ajst-23609	272	25	palm	palm	NOUN
ajst-23609	272	26	-	-	PUNCT
ajst-23609	272	27	vein	vein	ADJ
ajst-23609	272	28	recognition[j	recognition[j	NOUN
ajst-23609	272	29	]	]	PUNCT
ajst-23609	272	30	.	.	PUNCT
ajst-23609	273	1	ieee	ieee	NOUN
ajst-23609	273	2	transactions	transaction	NOUN
ajst-23609	273	3	on	on	ADP
ajst-23609	273	4	biometrics	biometric	NOUN
ajst-23609	273	5	,	,	PUNCT
ajst-23609	273	6	behavior	behavior	NOUN
ajst-23609	273	7	,	,	PUNCT
ajst-23609	273	8	and	and	CCONJ
ajst-23609	273	9	identity	identity	NOUN
ajst-23609	273	10	science	science	NOUN
ajst-23609	273	11	,	,	PUNCT
ajst-23609	273	12	2024	2024	NUM
ajst-23609	273	13	.	.	PUNCT