id	sid	tid	token	lemma	pos
bitcs-2763	1	1	p	p	X
bitcs-2763	1	2	-	-	PUNCT
bitcs-2763	1	3	issn	issn	VERB
bitcs-2763	1	4	:	:	PUNCT
bitcs-2763	1	5	2715	2715	NUM
bitcs-2763	1	6	-	-	SYM
bitcs-2763	1	7	2448	2448	NUM
bitcs-2763	1	8	|	|	NOUN
bitcs-2763	1	9	e	e	NOUN
bitcs-2763	1	10	-	-	NOUN
bitcs-2763	1	11	isssn	isssn	NOUN
bitcs-2763	1	12	:	:	PUNCT
bitcs-2763	1	13	2715	2715	NUM
bitcs-2763	1	14	-	-	SYM
bitcs-2763	1	15	7199	7199	NUM
bitcs-2763	1	16	vol.3	vol.3	NOUN
bitcs-2763	1	17	no.2	no.2	PROPN
bitcs-2763	1	18	july	july	PROPN
bitcs-2763	1	19	2022	2022	NUM
bitcs-2763	1	20	buana	buana	PROPN
bitcs-2763	1	21	information	information	PROPN
bitcs-2763	1	22	tchnology	tchnology	PROPN
bitcs-2763	1	23	and	and	CCONJ
bitcs-2763	1	24	computer	computer	NOUN
bitcs-2763	1	25	sciences	science	NOUN
bitcs-2763	1	26	(	(	PUNCT
bitcs-2763	1	27	bit	bit	NOUN
bitcs-2763	1	28	and	and	CCONJ
bitcs-2763	1	29	cs	cs	ADJ
bitcs-2763	1	30	)	)	PUNCT
bitcs-2763	1	31	35	35	NUM
bitcs-2763	1	32	|	|	NOUN
bitcs-2763	1	33	vol.3	vol.3	PROPN
bitcs-2763	1	34	no.2	no.2	PROPN
bitcs-2763	1	35	,	,	PUNCT
bitcs-2763	1	36	july	july	PROPN
bitcs-2763	1	37	2022	2022	NUM
bitcs-2763	1	38	signature	signature	NOUN
bitcs-2763	1	39	verification	verification	NOUN
bitcs-2763	1	40	using	use	VERB
bitcs-2763	1	41	the	the	DET
bitcs-2763	1	42	k	k	NOUN
bitcs-2763	1	43	-	-	PUNCT
bitcs-2763	1	44	nearest	near	ADJ
bitcs-2763	1	45	neighbor	neighbor	NOUN
bitcs-2763	1	46	(	(	PUNCT
bitcs-2763	1	47	knn	knn	PROPN
bitcs-2763	1	48	)	)	PUNCT
bitcs-2763	1	49	algorithm	algorithm	NOUN
bitcs-2763	1	50	and	and	CCONJ
bitcs-2763	1	51	using	use	VERB
bitcs-2763	1	52	the	the	DET
bitcs-2763	1	53	harris	harris	PROPN
bitcs-2763	1	54	corner	corner	PROPN
bitcs-2763	1	55	detector	detector	NOUN
bitcs-2763	1	56	feature	feature	NOUN
bitcs-2763	1	57	extraction	extraction	NOUN
bitcs-2763	1	58	method	method	NOUN
bitcs-2763	1	59	aang	aang	PROPN
bitcs-2763	1	60	alim	alim	PROPN
bitcs-2763	1	61	murtopo	murtopo	PROPN
bitcs-2763	1	62	1	1	NUM
bitcs-2763	1	63	study	study	NOUN
bitcs-2763	1	64	program	program	NOUN
bitcs-2763	1	65	technical	technical	PROPN
bitcs-2763	1	66	information	information	PROPN
bitcs-2763	1	67	stmik	stmik	VERB
bitcs-2763	1	68	ymi	ymi	PROPN
bitcs-2763	1	69	tegal	tegal	PROPN
bitcs-2763	1	70	aang.alim@gmail.com	aang.alim@gmail.com	X
bitcs-2763	1	71	bayu	bayu	PROPN
bitcs-2763	1	72	priyatna	priyatna	PROPN
bitcs-2763	1	73	2	2	NUM
bitcs-2763	1	74	study	study	NOUN
bitcs-2763	1	75	program	program	NOUN
bitcs-2763	1	76	information	information	NOUN
bitcs-2763	1	77	system	system	NOUN
bitcs-2763	1	78	universitas	universita	NOUN
bitcs-2763	1	79	buana	buana	PROPN
bitcs-2763	1	80	perjuangan	perjuangan	PROPN
bitcs-2763	1	81	karawang	karawang	PROPN
bitcs-2763	1	82	bayu.priyatna@ubpkarawang.ac.id	bayu.priyatna@ubpkarawang.ac.id	PUNCT
bitcs-2763	1	83	‹β›	‹β›	PROPN
bitcs-2763	1	84	rini	rini	PROPN
bitcs-2763	1	85	mayasari	mayasari	PROPN
bitcs-2763	1	86	3	3	NUM
bitcs-2763	1	87	study	study	NOUN
bitcs-2763	1	88	program	program	NOUN
bitcs-2763	1	89	information	information	NOUN
bitcs-2763	1	90	system	system	NOUN
bitcs-2763	1	91	universitas	universita	NOUN
bitcs-2763	1	92	singaperbangsa	singaperbangsa	PROPN
bitcs-2763	1	93	karawang	karawang	PROPN
bitcs-2763	1	94	rini.mayasari@staff.unsika.ac.id	rini.mayasari@staff.unsika.ac.id	PROPN
bitcs-2763	1	95	abstrak	abstrak	PROPN
bitcs-2763	1	96	—	—	PUNCT
bitcs-2763	1	97	keamanan	keamanan	PROPN
bitcs-2763	1	98	proses	proses	PROPN
bitcs-2763	1	99	transaksi	transaksi	PROPN
bitcs-2763	1	100	sangat	sangat	PROPN
bitcs-2763	1	101	penting	penting	PROPN
bitcs-2763	1	102	di	di	PROPN
bitcs-2763	1	103	zaman	zaman	PROPN
bitcs-2763	1	104	sekarang	sekarang	PROPN
bitcs-2763	1	105	ini	ini	PROPN
bitcs-2763	1	106	.	.	PROPN
bitcs-2763	1	107	tanda	tanda	PROPN
bitcs-2763	1	108	tangan	tangan	PROPN
bitcs-2763	1	109	dapat	dapat	PROPN
bitcs-2763	1	110	digunakan	digunakan	PROPN
bitcs-2763	1	111	sebagai	sebagai	PROPN
bitcs-2763	1	112	sarana	sarana	PROPN
bitcs-2763	1	113	penjamin	penjamin	PROPN
bitcs-2763	1	114	keamanan	keamanan	PROPN
bitcs-2763	1	115	suatu	suatu	PROPN
bitcs-2763	1	116	transaksi	transaksi	PROPN
bitcs-2763	1	117	selain	selain	PROPN
bitcs-2763	1	118	sidik	sidik	ADJ
bitcs-2763	1	119	jari	jari	PROPN
bitcs-2763	1	120	.	.	PROPN
bitcs-2763	1	121	namun	namun	PROPN
bitcs-2763	1	122	,	,	PUNCT
bitcs-2763	1	123	ancaman	ancaman	PROPN
bitcs-2763	1	124	pemalsuan	pemalsuan	PROPN
bitcs-2763	1	125	tanda	tanda	PROPN
bitcs-2763	1	126	tangan	tangan	PROPN
bitcs-2763	1	127	bagi	bagi	PROPN
bitcs-2763	1	128	mereka	mereka	PROPN
bitcs-2763	1	129	yang	yang	PROPN
bitcs-2763	1	130	menggunakan	menggunakan	PROPN
bitcs-2763	1	131	tanda	tanda	PROPN
bitcs-2763	1	132	tangan	tangan	PROPN
bitcs-2763	1	133	sebagai	sebagai	PROPN
bitcs-2763	1	134	keamanan	keamanan	PROPN
bitcs-2763	1	135	masih	masih	PROPN
bitcs-2763	1	136	sangat	sangat	PROPN
bitcs-2763	1	137	tinggi	tinggi	PROPN
bitcs-2763	1	138	dan	dan	PROPN
bitcs-2763	1	139	sering	sering	PROPN
bitcs-2763	1	140	terjadi	terjadi	PROPN
bitcs-2763	1	141	.	.	PUNCT
bitcs-2763	2	1	dalam	dalam	PROPN
bitcs-2763	2	2	penelitian	penelitian	PROPN
bitcs-2763	2	3	ini	ini	PROPN
bitcs-2763	2	4	,	,	PUNCT
bitcs-2763	2	5	kami	kami	PROPN
bitcs-2763	2	6	akan	akan	PROPN
bitcs-2763	2	7	memverifikasi	memverifikasi	PROPN
bitcs-2763	2	8	keaslian	keaslian	PROPN
bitcs-2763	2	9	tanda	tanda	PROPN
bitcs-2763	2	10	tangan	tangan	PROPN
bitcs-2763	2	11	dan	dan	PROPN
bitcs-2763	2	12	mengujinya	mengujinya	PROPN
bitcs-2763	2	13	menggunakan	menggunakan	PROPN
bitcs-2763	2	14	algoritma	algoritma	PROPN
bitcs-2763	2	15	knearest	knearest	NOUN
bitcs-2763	2	16	neighbor	neighbor	NOUN
bitcs-2763	2	17	(	(	PUNCT
bitcs-2763	2	18	knn	knn	PROPN
bitcs-2763	2	19	)	)	PUNCT
bitcs-2763	2	20	dan	dan	PROPN
bitcs-2763	2	21	metode	metode	PROPN
bitcs-2763	2	22	ekstraksi	ekstraksi	PROPN
bitcs-2763	2	23	fitur	fitur	PROPN
bitcs-2763	2	24	harris	harris	PROPN
bitcs-2763	2	25	corner	corner	PROPN
bitcs-2763	2	26	.	.	PUNCT
bitcs-2763	3	1	ada	ada	PROPN
bitcs-2763	3	2	dua	dua	PROPN
bitcs-2763	3	3	macam	macam	PROPN
bitcs-2763	3	4	perhitungan	perhitungan	PROPN
bitcs-2763	3	5	jarak	jarak	PROPN
bitcs-2763	3	6	yang	yang	PROPN
bitcs-2763	3	7	akan	akan	PROPN
bitcs-2763	3	8	digunakan	digunakan	PROPN
bitcs-2763	3	9	pada	pada	PROPN
bitcs-2763	3	10	algoritma	algoritma	PROPN
bitcs-2763	4	1	k	k	PROPN
bitcs-2763	4	2	-	-	PUNCT
bitcs-2763	4	3	nn	nn	PROPN
bitcs-2763	4	4	yaitu	yaitu	PROPN
bitcs-2763	4	5	dengan	dengan	PROPN
bitcs-2763	4	6	menghitung	menghitung	PROPN
bitcs-2763	4	7	jarak	jarak	PROPN
bitcs-2763	4	8	dari	dari	PROPN
bitcs-2763	4	9	euclidean	euclidean	PROPN
bitcs-2763	4	10	distance	distance	PROPN
bitcs-2763	4	11	dan	dan	PROPN
bitcs-2763	4	12	manhattan	manhattan	PROPN
bitcs-2763	4	13	distance	distance	NOUN
bitcs-2763	4	14	.	.	PUNCT
bitcs-2763	5	1	kata	kata	PROPN
bitcs-2763	5	2	kunci	kunci	PROPN
bitcs-2763	5	3	—	—	PUNCT
bitcs-2763	5	4	tanda	tanda	PROPN
bitcs-2763	5	5	tangan	tangan	PROPN
bitcs-2763	5	6	,	,	PUNCT
bitcs-2763	5	7	verifikasi	verifikasi	PROPN
bitcs-2763	5	8	,	,	PUNCT
bitcs-2763	5	9	knn	knn	PROPN
bitcs-2763	5	10	(	(	PUNCT
bitcs-2763	5	11	k	k	X
bitcs-2763	5	12	-	-	PUNCT
bitcs-2763	5	13	nearest	near	ADJ
bitcs-2763	5	14	neighbour	neighbour	NOUN
bitcs-2763	5	15	)	)	PUNCT
bitcs-2763	5	16	,	,	PUNCT
bitcs-2763	5	17	harris	harris	PROPN
bitcs-2763	5	18	corner	corner	PROPN
bitcs-2763	5	19	detector	detector	NOUN
bitcs-2763	5	20	,	,	PUNCT
bitcs-2763	5	21	euclidean	euclidean	ADJ
bitcs-2763	5	22	distance	distance	NOUN
bitcs-2763	5	23	,	,	PUNCT
bitcs-2763	5	24	manhattan	manhattan	PROPN
bitcs-2763	5	25	distance	distance	NOUN
bitcs-2763	5	26	.	.	PUNCT
bitcs-2763	6	1	abstract	abstract	ADV
bitcs-2763	6	2	—	—	PUNCT
bitcs-2763	6	3	the	the	DET
bitcs-2763	6	4	security	security	NOUN
bitcs-2763	6	5	of	of	ADP
bitcs-2763	6	6	the	the	DET
bitcs-2763	6	7	transaction	transaction	NOUN
bitcs-2763	6	8	process	process	NOUN
bitcs-2763	6	9	is	be	AUX
bitcs-2763	6	10	very	very	ADV
bitcs-2763	6	11	important	important	ADJ
bitcs-2763	6	12	in	in	ADP
bitcs-2763	6	13	this	this	DET
bitcs-2763	6	14	day	day	NOUN
bitcs-2763	6	15	and	and	CCONJ
bitcs-2763	6	16	age	age	NOUN
bitcs-2763	6	17	.	.	PUNCT
bitcs-2763	7	1	signatures	signature	NOUN
bitcs-2763	7	2	can	can	AUX
bitcs-2763	7	3	be	be	AUX
bitcs-2763	7	4	used	use	VERB
bitcs-2763	7	5	as	as	ADP
bitcs-2763	7	6	a	a	DET
bitcs-2763	7	7	means	means	NOUN
bitcs-2763	7	8	of	of	ADP
bitcs-2763	7	9	guaranteeing	guarantee	VERB
bitcs-2763	7	10	the	the	DET
bitcs-2763	7	11	security	security	NOUN
bitcs-2763	7	12	of	of	ADP
bitcs-2763	7	13	a	a	DET
bitcs-2763	7	14	transaction	transaction	NOUN
bitcs-2763	7	15	other	other	ADJ
bitcs-2763	7	16	than	than	ADP
bitcs-2763	7	17	fingerprints	fingerprint	NOUN
bitcs-2763	7	18	.	.	PUNCT
bitcs-2763	8	1	however	however	ADV
bitcs-2763	8	2	,	,	PUNCT
bitcs-2763	8	3	the	the	DET
bitcs-2763	8	4	threat	threat	NOUN
bitcs-2763	8	5	of	of	ADP
bitcs-2763	8	6	signature	signature	NOUN
bitcs-2763	8	7	forgery	forgery	NOUN
bitcs-2763	8	8	for	for	ADP
bitcs-2763	8	9	those	those	PRON
bitcs-2763	8	10	who	who	PRON
bitcs-2763	8	11	use	use	VERB
bitcs-2763	8	12	signatures	signature	NOUN
bitcs-2763	8	13	as	as	SCONJ
bitcs-2763	8	14	security	security	NOUN
bitcs-2763	8	15	is	be	AUX
bitcs-2763	8	16	still	still	ADV
bitcs-2763	8	17	very	very	ADV
bitcs-2763	8	18	high	high	ADJ
bitcs-2763	8	19	and	and	CCONJ
bitcs-2763	8	20	frequent	frequent	ADJ
bitcs-2763	8	21	.	.	PUNCT
bitcs-2763	9	1	in	in	ADP
bitcs-2763	9	2	this	this	DET
bitcs-2763	9	3	research	research	NOUN
bitcs-2763	9	4	,	,	PUNCT
bitcs-2763	9	5	we	we	PRON
bitcs-2763	9	6	will	will	AUX
bitcs-2763	9	7	verify	verify	VERB
bitcs-2763	9	8	the	the	DET
bitcs-2763	9	9	authenticity	authenticity	NOUN
bitcs-2763	9	10	of	of	ADP
bitcs-2763	9	11	a	a	DET
bitcs-2763	9	12	signature	signature	NOUN
bitcs-2763	9	13	and	and	CCONJ
bitcs-2763	9	14	test	test	VERB
bitcs-2763	9	15	it	it	PRON
bitcs-2763	9	16	using	use	VERB
bitcs-2763	9	17	the	the	DET
bitcs-2763	9	18	k	k	NOUN
bitcs-2763	9	19	-	-	PUNCT
bitcs-2763	9	20	nearest	near	ADJ
bitcs-2763	9	21	neighbour	neighbour	NOUN
bitcs-2763	9	22	(	(	PUNCT
bitcs-2763	9	23	knn	knn	PROPN
bitcs-2763	9	24	)	)	PUNCT
bitcs-2763	9	25	algorithm	algorithm	NOUN
bitcs-2763	9	26	and	and	CCONJ
bitcs-2763	9	27	the	the	DET
bitcs-2763	9	28	harris	harris	PROPN
bitcs-2763	9	29	corner	corner	PROPN
bitcs-2763	9	30	feature	feature	NOUN
bitcs-2763	9	31	extraction	extraction	NOUN
bitcs-2763	9	32	method	method	NOUN
bitcs-2763	9	33	.	.	PUNCT
bitcs-2763	10	1	there	there	PRON
bitcs-2763	10	2	are	be	VERB
bitcs-2763	10	3	two	two	NUM
bitcs-2763	10	4	kinds	kind	NOUN
bitcs-2763	10	5	of	of	ADP
bitcs-2763	10	6	distance	distance	NOUN
bitcs-2763	10	7	calculations	calculation	NOUN
bitcs-2763	10	8	that	that	PRON
bitcs-2763	10	9	will	will	AUX
bitcs-2763	10	10	be	be	AUX
bitcs-2763	10	11	used	use	VERB
bitcs-2763	10	12	in	in	ADP
bitcs-2763	10	13	the	the	DET
bitcs-2763	10	14	k	k	PROPN
bitcs-2763	10	15	-	-	PUNCT
bitcs-2763	10	16	nn	nn	ADJ
bitcs-2763	10	17	algorithm	algorithm	NOUN
bitcs-2763	10	18	,	,	PUNCT
bitcs-2763	10	19	namely	namely	ADV
bitcs-2763	10	20	by	by	ADP
bitcs-2763	10	21	calculating	calculate	VERB
bitcs-2763	10	22	the	the	DET
bitcs-2763	10	23	distance	distance	NOUN
bitcs-2763	10	24	from	from	ADP
bitcs-2763	10	25	euclidean	euclidean	ADJ
bitcs-2763	10	26	distance	distance	NOUN
bitcs-2763	10	27	and	and	CCONJ
bitcs-2763	10	28	manhattan	manhattan	PROPN
bitcs-2763	10	29	distance	distance	NOUN
bitcs-2763	10	30	.	.	PUNCT
bitcs-2763	11	1	the	the	DET
bitcs-2763	11	2	k	k	PROPN
bitcs-2763	11	3	value	value	NOUN
bitcs-2763	11	4	at	at	ADP
bitcs-2763	11	5	knn	knn	PROPN
bitcs-2763	11	6	taken	take	VERB
bitcs-2763	11	7	is	be	AUX
bitcs-2763	11	8	at	at	ADP
bitcs-2763	11	9	k	k	PROPN
bitcs-2763	11	10	=	=	SYM
bitcs-2763	11	11	1	1	NUM
bitcs-2763	11	12	,	,	PUNCT
bitcs-2763	11	13	k	k	NOUN
bitcs-2763	11	14	=	=	SYM
bitcs-2763	11	15	3	3	NUM
bitcs-2763	11	16	,	,	PUNCT
bitcs-2763	11	17	and	and	CCONJ
bitcs-2763	11	18	k	k	X
bitcs-2763	11	19	=	=	SYM
bitcs-2763	11	20	5	5	X
bitcs-2763	11	21	.	.	PUNCT
bitcs-2763	12	1	keywords	keyword	NOUN
bitcs-2763	12	2	—	—	PUNCT
bitcs-2763	12	3	signature	signature	NOUN
bitcs-2763	12	4	,	,	PUNCT
bitcs-2763	12	5	verification	verification	NOUN
bitcs-2763	12	6	,	,	PUNCT
bitcs-2763	12	7	knn	knn	PROPN
bitcs-2763	12	8	(	(	PUNCT
bitcs-2763	12	9	k	k	X
bitcs-2763	12	10	-	-	PUNCT
bitcs-2763	12	11	nearest	near	ADJ
bitcs-2763	12	12	neighbour	neighbour	NOUN
bitcs-2763	12	13	)	)	PUNCT
bitcs-2763	12	14	,	,	PUNCT
bitcs-2763	12	15	harris	harris	PROPN
bitcs-2763	12	16	corner	corner	PROPN
bitcs-2763	12	17	detector	detector	NOUN
bitcs-2763	12	18	,	,	PUNCT
bitcs-2763	12	19	euclidean	euclidean	ADJ
bitcs-2763	12	20	distance	distance	NOUN
bitcs-2763	12	21	,	,	PUNCT
bitcs-2763	12	22	manhattan	manhattan	PROPN
bitcs-2763	12	23	distance	distance	NOUN
bitcs-2763	12	24	.	.	PUNCT
bitcs-2763	13	1	i.	i.	PROPN
bitcs-2763	13	2	introduction	introduction	NOUN
bitcs-2763	13	3	security	security	NOUN
bitcs-2763	13	4	in	in	ADP
bitcs-2763	13	5	transactions	transaction	NOUN
bitcs-2763	13	6	needs	need	VERB
bitcs-2763	13	7	to	to	PART
bitcs-2763	13	8	be	be	AUX
bitcs-2763	13	9	given	give	VERB
bitcs-2763	13	10	important	important	ADJ
bitcs-2763	13	11	attention	attention	NOUN
bitcs-2763	13	12	today	today	NOUN
bitcs-2763	13	13	.	.	PUNCT
bitcs-2763	14	1	there	there	PRON
bitcs-2763	14	2	are	be	VERB
bitcs-2763	14	3	several	several	ADJ
bitcs-2763	14	4	ways	way	NOUN
bitcs-2763	14	5	that	that	PRON
bitcs-2763	14	6	can	can	AUX
bitcs-2763	14	7	be	be	AUX
bitcs-2763	14	8	done	do	VERB
bitcs-2763	14	9	for	for	ADP
bitcs-2763	14	10	transaction	transaction	NOUN
bitcs-2763	14	11	security	security	NOUN
bitcs-2763	14	12	measures	measure	NOUN
bitcs-2763	14	13	such	such	ADJ
bitcs-2763	14	14	as	as	ADP
bitcs-2763	14	15	fingerprints	fingerprint	NOUN
bitcs-2763	14	16	and	and	CCONJ
bitcs-2763	14	17	pins	pin	NOUN
bitcs-2763	14	18	are	be	AUX
bitcs-2763	14	19	examples	example	NOUN
bitcs-2763	14	20	of	of	ADP
bitcs-2763	14	21	frequently	frequently	ADV
bitcs-2763	14	22	used	use	VERB
bitcs-2763	14	23	security	security	NOUN
bitcs-2763	14	24	.	.	PUNCT
bitcs-2763	15	1	one	one	NUM
bitcs-2763	15	2	of	of	ADP
bitcs-2763	15	3	the	the	DET
bitcs-2763	15	4	well	well	ADV
bitcs-2763	15	5	-	-	PUNCT
bitcs-2763	15	6	known	know	VERB
bitcs-2763	15	7	safeguards	safeguard	NOUN
bitcs-2763	15	8	is	be	AUX
bitcs-2763	15	9	to	to	PART
bitcs-2763	15	10	use	use	VERB
bitcs-2763	15	11	a	a	DET
bitcs-2763	15	12	signature	signature	NOUN
bitcs-2763	15	13	.	.	PUNCT
bitcs-2763	16	1	signatures	signature	NOUN
bitcs-2763	16	2	are	be	AUX
bitcs-2763	16	3	considered	consider	VERB
bitcs-2763	16	4	easier	easy	ADJ
bitcs-2763	16	5	to	to	PART
bitcs-2763	16	6	use	use	VERB
bitcs-2763	16	7	,	,	PUNCT
bitcs-2763	16	8	cheaper	cheap	ADJ
bitcs-2763	16	9	,	,	PUNCT
bitcs-2763	16	10	and	and	CCONJ
bitcs-2763	16	11	quite	quite	ADV
bitcs-2763	16	12	effective	effective	ADJ
bitcs-2763	16	13	.	.	PUNCT
bitcs-2763	17	1	however	however	ADV
bitcs-2763	17	2	,	,	PUNCT
bitcs-2763	17	3	signature	signature	NOUN
bitcs-2763	17	4	forgery	forgery	NOUN
bitcs-2763	17	5	is	be	AUX
bitcs-2763	17	6	still	still	ADV
bitcs-2763	17	7	common	common	ADJ
bitcs-2763	17	8	and	and	CCONJ
bitcs-2763	17	9	poses	pose	VERB
bitcs-2763	17	10	a	a	DET
bitcs-2763	17	11	security	security	NOUN
bitcs-2763	17	12	threat	threat	NOUN
bitcs-2763	17	13	to	to	ADP
bitcs-2763	17	14	signature	signature	NOUN
bitcs-2763	17	15	users	user	NOUN
bitcs-2763	17	16	.	.	PUNCT
bitcs-2763	18	1	signature	signature	NOUN
bitcs-2763	18	2	verification	verification	NOUN
bitcs-2763	18	3	is	be	AUX
bitcs-2763	18	4	a	a	DET
bitcs-2763	18	5	way	way	NOUN
bitcs-2763	18	6	to	to	PART
bitcs-2763	18	7	find	find	VERB
bitcs-2763	18	8	out	out	ADP
bitcs-2763	18	9	if	if	SCONJ
bitcs-2763	18	10	the	the	DET
bitcs-2763	18	11	signature	signature	NOUN
bitcs-2763	18	12	is	be	AUX
bitcs-2763	18	13	genuine	genuine	ADJ
bitcs-2763	18	14	or	or	CCONJ
bitcs-2763	18	15	fake	fake	ADJ
bitcs-2763	18	16	.	.	PUNCT
bitcs-2763	19	1	signature	signature	NOUN
bitcs-2763	19	2	verification	verification	NOUN
bitcs-2763	19	3	is	be	AUX
bitcs-2763	19	4	divided	divide	VERB
bitcs-2763	19	5	into	into	ADP
bitcs-2763	19	6	two	two	NUM
bitcs-2763	19	7	forms	form	NOUN
bitcs-2763	19	8	,	,	PUNCT
bitcs-2763	19	9	namely	namely	ADV
bitcs-2763	19	10	on	on	ADP
bitcs-2763	19	11	-	-	PUNCT
bitcs-2763	19	12	line	line	NOUN
bitcs-2763	19	13	and	and	CCONJ
bitcs-2763	19	14	off	off	ADP
bitcs-2763	19	15	-	-	PUNCT
bitcs-2763	19	16	line	line	NOUN
bitcs-2763	19	17	signature	signature	NOUN
bitcs-2763	19	18	verification	verification	NOUN
bitcs-2763	19	19	.	.	PUNCT
bitcs-2763	20	1	on	on	ADP
bitcs-2763	20	2	-	-	PUNCT
bitcs-2763	20	3	line	line	NOUN
bitcs-2763	20	4	means	mean	NOUN
bitcs-2763	20	5	,	,	PUNCT
bitcs-2763	20	6	when	when	SCONJ
bitcs-2763	20	7	the	the	DET
bitcs-2763	20	8	signature	signature	NOUN
bitcs-2763	20	9	is	be	AUX
bitcs-2763	20	10	taken	take	VERB
bitcs-2763	20	11	,	,	PUNCT
bitcs-2763	20	12	recording	recording	NOUN
bitcs-2763	20	13	of	of	ADP
bitcs-2763	20	14	the	the	DET
bitcs-2763	20	15	time	time	NOUN
bitcs-2763	20	16	,	,	PUNCT
bitcs-2763	20	17	pressure	pressure	NOUN
bitcs-2763	20	18	,	,	PUNCT
bitcs-2763	20	19	and	and	CCONJ
bitcs-2763	20	20	others	other	NOUN
bitcs-2763	20	21	.	.	PUNCT
bitcs-2763	21	1	in	in	ADP
bitcs-2763	21	2	off	off	ADP
bitcs-2763	21	3	-	-	PUNCT
bitcs-2763	21	4	line	line	NOUN
bitcs-2763	21	5	verification	verification	NOUN
bitcs-2763	21	6	,	,	PUNCT
bitcs-2763	21	7	the	the	DET
bitcs-2763	21	8	signature	signature	NOUN
bitcs-2763	21	9	is	be	AUX
bitcs-2763	21	10	only	only	ADV
bitcs-2763	21	11	taken	take	VERB
bitcs-2763	21	12	from	from	ADP
bitcs-2763	21	13	a	a	DET
bitcs-2763	21	14	photo	photo	NOUN
bitcs-2763	21	15	or	or	CCONJ
bitcs-2763	21	16	image	image	NOUN
bitcs-2763	21	17	of	of	ADP
bitcs-2763	21	18	that	that	DET
bitcs-2763	21	19	signature	signature	NOUN
bitcs-2763	21	20	.	.	PUNCT
bitcs-2763	22	1	the	the	DET
bitcs-2763	22	2	problem	problem	NOUN
bitcs-2763	22	3	that	that	PRON
bitcs-2763	22	4	often	often	ADV
bitcs-2763	22	5	occurs	occur	VERB
bitcs-2763	22	6	in	in	ADP
bitcs-2763	22	7	signature	signature	NOUN
bitcs-2763	22	8	verification	verification	NOUN
bitcs-2763	22	9	is	be	AUX
bitcs-2763	22	10	the	the	DET
bitcs-2763	22	11	difference	difference	NOUN
bitcs-2763	22	12	between	between	ADP
bitcs-2763	22	13	the	the	DET
bitcs-2763	22	14	tools	tool	NOUN
bitcs-2763	22	15	used	use	VERB
bitcs-2763	22	16	to	to	PART
bitcs-2763	22	17	write	write	VERB
bitcs-2763	22	18	signatures	signature	NOUN
bitcs-2763	22	19	and	and	CCONJ
bitcs-2763	22	20	the	the	DET
bitcs-2763	22	21	image	image	NOUN
bitcs-2763	22	22	retrieval	retrieval	NOUN
bitcs-2763	22	23	process	process	NOUN
bitcs-2763	22	24	,	,	PUNCT
bitcs-2763	22	25	image	image	NOUN
bitcs-2763	22	26	resolution	resolution	NOUN
bitcs-2763	22	27	,	,	PUNCT
bitcs-2763	22	28	images	image	NOUN
bitcs-2763	22	29	that	that	PRON
bitcs-2763	22	30	contain	contain	VERB
bitcs-2763	22	31	noise	noise	NOUN
bitcs-2763	22	32	,	,	PUNCT
bitcs-2763	22	33	and	and	CCONJ
bitcs-2763	22	34	others	other	NOUN
bitcs-2763	22	35	.	.	PUNCT
bitcs-2763	23	1	this	this	DET
bitcs-2763	23	2	signature	signature	NOUN
bitcs-2763	23	3	itself	itself	PRON
bitcs-2763	23	4	is	be	AUX
bitcs-2763	23	5	a	a	DET
bitcs-2763	23	6	handwriting	handwriting	NOUN
bitcs-2763	23	7	that	that	PRON
bitcs-2763	23	8	has	have	VERB
bitcs-2763	23	9	a	a	DET
bitcs-2763	23	10	unique	unique	ADJ
bitcs-2763	23	11	character	character	NOUN
bitcs-2763	23	12	and	and	CCONJ
bitcs-2763	23	13	each	each	DET
bitcs-2763	23	14	person	person	NOUN
bitcs-2763	23	15	must	must	AUX
bitcs-2763	23	16	have	have	VERB
bitcs-2763	23	17	a	a	DET
bitcs-2763	23	18	difference	difference	NOUN
bitcs-2763	23	19	.	.	PUNCT
bitcs-2763	24	1	we	we	PRON
bitcs-2763	24	2	often	often	ADV
bitcs-2763	24	3	encounter	encounter	VERB
bitcs-2763	24	4	unreadable	unreadable	ADJ
bitcs-2763	24	5	signatures	signature	NOUN
bitcs-2763	24	6	,	,	PUNCT
bitcs-2763	24	7	however	however	ADV
bitcs-2763	24	8	,	,	PUNCT
bitcs-2763	24	9	signatures	signature	NOUN
bitcs-2763	24	10	can	can	AUX
bitcs-2763	24	11	be	be	AUX
bitcs-2763	24	12	read	read	VERB
bitcs-2763	24	13	as	as	ADP
bitcs-2763	24	14	images	image	NOUN
bitcs-2763	24	15	and	and	CCONJ
bitcs-2763	24	16	recognized	recognize	VERB
bitcs-2763	24	17	by	by	ADP
bitcs-2763	24	18	computers	computer	NOUN
bitcs-2763	24	19	[	[	X
bitcs-2763	24	20	1	1	NUM
bitcs-2763	24	21	]	]	PUNCT
bitcs-2763	24	22	.	.	PUNCT
bitcs-2763	25	1	because	because	SCONJ
bitcs-2763	25	2	of	of	ADP
bitcs-2763	25	3	its	its	PRON
bitcs-2763	25	4	uniqueness	uniqueness	NOUN
bitcs-2763	25	5	,	,	PUNCT
bitcs-2763	25	6	the	the	DET
bitcs-2763	25	7	signature	signature	NOUN
bitcs-2763	25	8	can	can	AUX
bitcs-2763	25	9	be	be	AUX
bitcs-2763	25	10	used	use	VERB
bitcs-2763	25	11	as	as	ADP
bitcs-2763	25	12	a	a	DET
bitcs-2763	25	13	security	security	NOUN
bitcs-2763	25	14	system	system	NOUN
bitcs-2763	25	15	and	and	CCONJ
bitcs-2763	25	16	identifier	identifier	NOUN
bitcs-2763	25	17	of	of	ADP
bitcs-2763	25	18	a	a	DET
bitcs-2763	25	19	person	person	NOUN
bitcs-2763	25	20	's	's	PART
bitcs-2763	25	21	identity	identity	NOUN
bitcs-2763	25	22	.	.	PUNCT
bitcs-2763	26	1	various	various	ADJ
bitcs-2763	26	2	studies	study	NOUN
bitcs-2763	26	3	that	that	PRON
bitcs-2763	26	4	have	have	AUX
bitcs-2763	26	5	been	be	AUX
bitcs-2763	26	6	done	do	VERB
bitcs-2763	26	7	before	before	ADV
bitcs-2763	26	8	,	,	PUNCT
bitcs-2763	26	9	have	have	AUX
bitcs-2763	26	10	used	use	VERB
bitcs-2763	26	11	various	various	ADJ
bitcs-2763	26	12	methods	method	NOUN
bitcs-2763	26	13	and	and	CCONJ
bitcs-2763	26	14	feature	feature	NOUN
bitcs-2763	26	15	extraction	extraction	NOUN
bitcs-2763	26	16	in	in	ADP
bitcs-2763	26	17	this	this	DET
bitcs-2763	26	18	signature	signature	NOUN
bitcs-2763	26	19	verification	verification	NOUN
bitcs-2763	26	20	.	.	PUNCT
bitcs-2763	27	1	among	among	ADP
bitcs-2763	27	2	them	they	PRON
bitcs-2763	27	3	,	,	PUNCT
bitcs-2763	27	4	research	research	NOUN
bitcs-2763	27	5	[	[	X
bitcs-2763	27	6	2	2	NUM
bitcs-2763	27	7	]	]	PUNCT
bitcs-2763	27	8	was	be	AUX
bitcs-2763	27	9	conducted	conduct	VERB
bitcs-2763	27	10	to	to	PART
bitcs-2763	27	11	verify	verify	VERB
bitcs-2763	27	12	signatures	signature	NOUN
bitcs-2763	27	13	online	online	ADV
bitcs-2763	27	14	using	use	VERB
bitcs-2763	27	15	the	the	DET
bitcs-2763	27	16	feed	feed	NOUN
bitcs-2763	27	17	forward	forward	ADV
bitcs-2763	27	18	back	back	ADV
bitcs-2763	27	19	propagation	propagation	NOUN
bitcs-2763	27	20	error	error	NOUN
bitcs-2763	27	21	neural	neural	ADJ
bitcs-2763	27	22	network	network	NOUN
bitcs-2763	27	23	and	and	CCONJ
bitcs-2763	27	24	the	the	DET
bitcs-2763	27	25	discrete	discrete	ADJ
bitcs-2763	27	26	wavelet	wavelet	NOUN
bitcs-2763	27	27	transform	transform	NOUN
bitcs-2763	27	28	feature	feature	NOUN
bitcs-2763	27	29	extraction	extraction	NOUN
bitcs-2763	27	30	method	method	NOUN
bitcs-2763	27	31	.	.	PUNCT
bitcs-2763	28	1	research	research	NOUN
bitcs-2763	29	1	[	[	X
bitcs-2763	29	2	3	3	X
bitcs-2763	29	3	]	]	PUNCT
bitcs-2763	29	4	used	use	VERB
bitcs-2763	29	5	the	the	DET
bitcs-2763	29	6	euclidean	euclidean	ADJ
bitcs-2763	29	7	distance	distance	NOUN
bitcs-2763	29	8	model	model	NOUN
bitcs-2763	29	9	and	and	CCONJ
bitcs-2763	29	10	geometric	geometric	ADJ
bitcs-2763	29	11	centre	centre	NOUN
bitcs-2763	29	12	method	method	NOUN
bitcs-2763	29	13	for	for	ADP
bitcs-2763	29	14	feature	feature	NOUN
bitcs-2763	29	15	extraction	extraction	NOUN
bitcs-2763	29	16	.	.	PUNCT
bitcs-2763	30	1	research	research	NOUN
bitcs-2763	31	1	[	[	X
bitcs-2763	31	2	4	4	X
bitcs-2763	31	3	]	]	PUNCT
bitcs-2763	31	4	with	with	ADP
bitcs-2763	31	5	k	k	ADJ
bitcs-2763	31	6	-	-	PUNCT
bitcs-2763	31	7	nearest	near	ADJ
bitcs-2763	31	8	neighbour	neighbour	NOUN
bitcs-2763	31	9	and	and	CCONJ
bitcs-2763	31	10	gabor	gabor	PROPN
bitcs-2763	31	11	wavelet	wavelet	NOUN
bitcs-2763	31	12	as	as	ADP
bitcs-2763	31	13	characteristic	characteristic	ADJ
bitcs-2763	31	14	extraction	extraction	NOUN
bitcs-2763	31	15	.	.	PUNCT
bitcs-2763	32	1	research	research	NOUN
bitcs-2763	33	1	[	[	X
bitcs-2763	33	2	5	5	NUM
bitcs-2763	33	3	]	]	PUNCT
bitcs-2763	33	4	used	use	VERB
bitcs-2763	33	5	pca	pca	PROPN
bitcs-2763	33	6	classification	classification	NOUN
bitcs-2763	33	7	and	and	CCONJ
bitcs-2763	33	8	multilayer	multilayer	NOUN
bitcs-2763	33	9	feed	feed	NOUN
bitcs-2763	33	10	forward	forward	ADV
bitcs-2763	33	11	artificial	artificial	ADJ
bitcs-2763	33	12	neural	neural	ADJ
bitcs-2763	33	13	network	network	NOUN
bitcs-2763	33	14	and	and	CCONJ
bitcs-2763	33	15	for	for	ADP
bitcs-2763	33	16	its	its	PRON
bitcs-2763	33	17	extraction	extraction	NOUN
bitcs-2763	33	18	using	use	VERB
bitcs-2763	33	19	fourier	fourier	NOUN
bitcs-2763	33	20	descriptor	descriptor	NOUN
bitcs-2763	33	21	and	and	CCONJ
bitcs-2763	33	22	chain	chain	NOUN
bitcs-2763	33	23	codes	code	NOUN
bitcs-2763	33	24	.	.	PUNCT
bitcs-2763	34	1	research	research	NOUN
bitcs-2763	35	1	[	[	X
bitcs-2763	35	2	6	6	NUM
bitcs-2763	35	3	]	]	PUNCT
bitcs-2763	35	4	used	use	VERB
bitcs-2763	35	5	the	the	DET
bitcs-2763	35	6	euclidean	euclidean	ADJ
bitcs-2763	35	7	distance	distance	NOUN
bitcs-2763	35	8	classification	classification	NOUN
bitcs-2763	35	9	and	and	CCONJ
bitcs-2763	35	10	a	a	DET
bitcs-2763	35	11	new	new	ADJ
bitcs-2763	35	12	extraction	extraction	NOUN
bitcs-2763	35	13	method	method	NOUN
bitcs-2763	35	14	that	that	PRON
bitcs-2763	35	15	is	be	AUX
bitcs-2763	35	16	dividing	divide	VERB
bitcs-2763	35	17	into	into	ADP
bitcs-2763	35	18	several	several	ADJ
bitcs-2763	35	19	images	image	NOUN
bitcs-2763	35	20	.	.	PUNCT
bitcs-2763	36	1	36	36	NUM
bitcs-2763	36	2	|	|	ADV
bitcs-2763	36	3	vol.3	vol.3	PROPN
bitcs-2763	36	4	no.2	no.2	PROPN
bitcs-2763	36	5	,	,	PUNCT
bitcs-2763	36	6	july	july	PROPN
bitcs-2763	36	7	2022	2022	NUM
bitcs-2763	36	8	from	from	ADP
bitcs-2763	36	9	some	some	PRON
bitcs-2763	36	10	of	of	ADP
bitcs-2763	36	11	the	the	DET
bitcs-2763	36	12	studies	study	NOUN
bitcs-2763	36	13	above	above	ADV
bitcs-2763	36	14	,	,	PUNCT
bitcs-2763	36	15	these	these	DET
bitcs-2763	36	16	researchers	researcher	NOUN
bitcs-2763	36	17	have	have	AUX
bitcs-2763	36	18	attempted	attempt	VERB
bitcs-2763	36	19	to	to	PART
bitcs-2763	36	20	find	find	VERB
bitcs-2763	36	21	a	a	DET
bitcs-2763	36	22	method	method	NOUN
bitcs-2763	36	23	of	of	ADP
bitcs-2763	36	24	classification	classification	NOUN
bitcs-2763	36	25	and	and	CCONJ
bitcs-2763	36	26	feature	feature	NOUN
bitcs-2763	36	27	extraction	extraction	NOUN
bitcs-2763	36	28	that	that	PRON
bitcs-2763	36	29	can	can	AUX
bitcs-2763	36	30	produce	produce	VERB
bitcs-2763	36	31	the	the	DET
bitcs-2763	36	32	highest	high	ADJ
bitcs-2763	36	33	level	level	NOUN
bitcs-2763	36	34	of	of	ADP
bitcs-2763	36	35	accuracy	accuracy	NOUN
bitcs-2763	36	36	.	.	PUNCT
bitcs-2763	37	1	this	this	DET
bitcs-2763	37	2	level	level	NOUN
bitcs-2763	37	3	of	of	ADP
bitcs-2763	37	4	accuracy	accuracy	NOUN
bitcs-2763	37	5	is	be	AUX
bitcs-2763	37	6	very	very	ADV
bitcs-2763	37	7	important	important	ADJ
bitcs-2763	37	8	to	to	PART
bitcs-2763	37	9	avoid	avoid	VERB
bitcs-2763	37	10	signature	signature	NOUN
bitcs-2763	37	11	forgery	forgery	NOUN
bitcs-2763	37	12	so	so	SCONJ
bitcs-2763	37	13	as	as	SCONJ
bitcs-2763	37	14	to	to	PART
bitcs-2763	37	15	provide	provide	VERB
bitcs-2763	37	16	a	a	DET
bitcs-2763	37	17	sense	sense	NOUN
bitcs-2763	37	18	of	of	ADP
bitcs-2763	37	19	security	security	NOUN
bitcs-2763	37	20	in	in	ADP
bitcs-2763	37	21	transactions	transaction	NOUN
bitcs-2763	37	22	and	and	CCONJ
bitcs-2763	37	23	everything	everything	PRON
bitcs-2763	37	24	related	relate	VERB
bitcs-2763	37	25	to	to	ADP
bitcs-2763	37	26	the	the	DET
bitcs-2763	37	27	economic	economic	ADJ
bitcs-2763	37	28	sector	sector	NOUN
bitcs-2763	37	29	.	.	PUNCT
bitcs-2763	38	1	this	this	DET
bitcs-2763	38	2	research	research	NOUN
bitcs-2763	38	3	will	will	AUX
bitcs-2763	38	4	use	use	VERB
bitcs-2763	38	5	the	the	DET
bitcs-2763	38	6	k	k	NOUN
bitcs-2763	38	7	-	-	PUNCT
bitcs-2763	38	8	nearest	near	ADJ
bitcs-2763	38	9	neighbour	neighbour	NOUN
bitcs-2763	38	10	(	(	PUNCT
bitcs-2763	38	11	knn	knn	PROPN
bitcs-2763	38	12	)	)	PUNCT
bitcs-2763	38	13	algorithm	algorithm	NOUN
bitcs-2763	38	14	and	and	CCONJ
bitcs-2763	38	15	the	the	DET
bitcs-2763	38	16	harris	harris	PROPN
bitcs-2763	38	17	corner	corner	PROPN
bitcs-2763	38	18	method	method	NOUN
bitcs-2763	38	19	for	for	ADP
bitcs-2763	38	20	its	its	PRON
bitcs-2763	38	21	feature	feature	NOUN
bitcs-2763	38	22	extraction	extraction	NOUN
bitcs-2763	38	23	.	.	PUNCT
bitcs-2763	39	1	from	from	ADP
bitcs-2763	39	2	several	several	ADJ
bitcs-2763	39	3	previous	previous	ADJ
bitcs-2763	39	4	studies	study	NOUN
bitcs-2763	39	5	,	,	PUNCT
bitcs-2763	39	6	knn	knn	PROPN
bitcs-2763	39	7	is	be	AUX
bitcs-2763	39	8	considered	consider	VERB
bitcs-2763	39	9	capable	capable	ADJ
bitcs-2763	39	10	of	of	ADP
bitcs-2763	39	11	classifying	classify	VERB
bitcs-2763	39	12	well	well	ADV
bitcs-2763	39	13	for	for	ADP
bitcs-2763	39	14	difficult	difficult	ADJ
bitcs-2763	39	15	images	image	NOUN
bitcs-2763	39	16	,	,	PUNCT
bitcs-2763	39	17	such	such	ADJ
bitcs-2763	39	18	as	as	ADP
bitcs-2763	39	19	in	in	ADP
bitcs-2763	39	20	the	the	DET
bitcs-2763	39	21	study	study	NOUN
bitcs-2763	40	1	[	[	X
bitcs-2763	40	2	7	7	X
bitcs-2763	40	3	]	]	X
bitcs-2763	40	4	"	"	PUNCT
bitcs-2763	40	5	automatic	automatic	ADJ
bitcs-2763	40	6	medical	medical	ADJ
bitcs-2763	40	7	image	image	NOUN
bitcs-2763	40	8	classification	classification	NOUN
bitcs-2763	40	9	and	and	CCONJ
bitcs-2763	40	10	abnormality	abnormality	NOUN
bitcs-2763	40	11	using	use	VERB
bitcs-2763	40	12	k	k	PROPN
bitcs-2763	40	13	-	-	PUNCT
bitcs-2763	40	14	nearest	near	ADJ
bitcs-2763	40	15	neighbour	neighbour	NOUN
bitcs-2763	40	16	"	"	PUNCT
bitcs-2763	40	17	,	,	PUNCT
bitcs-2763	40	18	knn	knn	PROPN
bitcs-2763	40	19	classifies	classify	VERB
bitcs-2763	40	20	medical	medical	ADJ
bitcs-2763	40	21	images	image	NOUN
bitcs-2763	40	22	with	with	ADP
bitcs-2763	40	23	an	an	DET
bitcs-2763	40	24	accuracy	accuracy	NOUN
bitcs-2763	40	25	of	of	ADP
bitcs-2763	40	26	80	80	NUM
bitcs-2763	40	27	%	%	NOUN
bitcs-2763	40	28	and	and	CCONJ
bitcs-2763	40	29	greater	great	ADJ
bitcs-2763	40	30	when	when	SCONJ
bitcs-2763	40	31	compared	compare	VERB
bitcs-2763	40	32	to	to	PART
bitcs-2763	40	33	svm	svm	VERB
bitcs-2763	40	34	linear	linear	PROPN
bitcs-2763	40	35	and	and	CCONJ
bitcs-2763	40	36	rbf	rbf	PROPN
bitcs-2763	40	37	kernel	kernel	PROPN
bitcs-2763	40	38	.	.	PUNCT
bitcs-2763	41	1	harris	harris	PROPN
bitcs-2763	41	2	corner	corner	PROPN
bitcs-2763	41	3	can	can	AUX
bitcs-2763	41	4	be	be	AUX
bitcs-2763	41	5	used	use	VERB
bitcs-2763	41	6	for	for	ADP
bitcs-2763	41	7	grayscale	grayscale	NOUN
bitcs-2763	41	8	images	image	NOUN
bitcs-2763	41	9	and	and	CCONJ
bitcs-2763	41	10	produces	produce	VERB
bitcs-2763	41	11	a	a	DET
bitcs-2763	41	12	more	more	ADV
bitcs-2763	41	13	consistent	consistent	ADJ
bitcs-2763	41	14	extraction	extraction	NOUN
bitcs-2763	41	15	value	value	NOUN
bitcs-2763	41	16	from	from	ADP
bitcs-2763	41	17	distorted	distorted	ADJ
bitcs-2763	41	18	images	image	NOUN
bitcs-2763	41	19	.	.	PUNCT
bitcs-2763	42	1	as	as	ADP
bitcs-2763	42	2	in	in	ADP
bitcs-2763	42	3	research	research	NOUN
bitcs-2763	42	4	[	[	X
bitcs-2763	42	5	8	8	NUM
bitcs-2763	42	6	]	]	X
bitcs-2763	42	7	"	"	PUNCT
bitcs-2763	42	8	harris	harris	NOUN
bitcs-2763	42	9	operator	operator	NOUN
bitcs-2763	42	10	corner	corner	NOUN
bitcs-2763	42	11	detection	detection	NOUN
bitcs-2763	42	12	using	use	VERB
bitcs-2763	42	13	sliding	slide	VERB
bitcs-2763	42	14	window	window	NOUN
bitcs-2763	42	15	method	method	NOUN
bitcs-2763	42	16	"	"	PUNCT
bitcs-2763	42	17	,	,	PUNCT
bitcs-2763	42	18	with	with	SCONJ
bitcs-2763	42	19	the	the	DET
bitcs-2763	42	20	harris	harris	PROPN
bitcs-2763	42	21	corner	corner	PROPN
bitcs-2763	42	22	method	method	PROPN
bitcs-2763	42	23	palms	palm	NOUN
bitcs-2763	42	24	can	can	AUX
bitcs-2763	42	25	be	be	AUX
bitcs-2763	42	26	detected	detect	VERB
bitcs-2763	42	27	with	with	ADP
bitcs-2763	42	28	an	an	DET
bitcs-2763	42	29	accuracy	accuracy	NOUN
bitcs-2763	42	30	of	of	ADP
bitcs-2763	42	31	97.5	97.5	NUM
bitcs-2763	42	32	%	%	NOUN
bitcs-2763	42	33	.	.	PUNCT
bitcs-2763	43	1	ii	ii	PROPN
bitcs-2763	43	2	.	.	PROPN
bitcs-2763	43	3	method	method	PROPN
bitcs-2763	43	4	2.1	2.1	NUM
bitcs-2763	43	5	.	.	PUNCT
bitcs-2763	44	1	study	study	NOUN
bitcs-2763	44	2	of	of	ADP
bitcs-2763	44	3	literature	literature	PROPN
bitcs-2763	44	4	research	research	NOUN
bitcs-2763	44	5	[	[	X
bitcs-2763	44	6	2	2	NUM
bitcs-2763	44	7	]	]	PUNCT
bitcs-2763	44	8	,	,	PUNCT
bitcs-2763	44	9	which	which	PRON
bitcs-2763	44	10	has	have	AUX
bitcs-2763	44	11	been	be	AUX
bitcs-2763	44	12	done	do	VERB
bitcs-2763	44	13	,	,	PUNCT
bitcs-2763	44	14	namely	namely	ADV
bitcs-2763	44	15	online	online	ADJ
bitcs-2763	44	16	signature	signature	NOUN
bitcs-2763	44	17	verification	verification	NOUN
bitcs-2763	44	18	,	,	PUNCT
bitcs-2763	44	19	the	the	DET
bitcs-2763	44	20	classification	classification	NOUN
bitcs-2763	44	21	algorithm	algorithm	NOUN
bitcs-2763	44	22	used	use	VERB
bitcs-2763	44	23	is	be	AUX
bitcs-2763	44	24	feed	feed	VERB
bitcs-2763	44	25	forward	forward	ADV
bitcs-2763	44	26	back	back	ADV
bitcs-2763	44	27	propagation	propagation	NOUN
bitcs-2763	44	28	error	error	NOUN
bitcs-2763	44	29	neural	neural	ADJ
bitcs-2763	44	30	network	network	NOUN
bitcs-2763	44	31	and	and	CCONJ
bitcs-2763	44	32	feature	feature	NOUN
bitcs-2763	44	33	extraction	extraction	NOUN
bitcs-2763	44	34	of	of	ADP
bitcs-2763	44	35	discrete	discrete	ADJ
bitcs-2763	44	36	wavelet	wavelet	NOUN
bitcs-2763	44	37	transform	transform	NOUN
bitcs-2763	44	38	produces	produce	VERB
bitcs-2763	44	39	an	an	DET
bitcs-2763	44	40	accuracy	accuracy	NOUN
bitcs-2763	44	41	of	of	ADP
bitcs-2763	44	42	95	95	NUM
bitcs-2763	44	43	%	%	NOUN
bitcs-2763	44	44	.	.	PUNCT
bitcs-2763	45	1	using	use	VERB
bitcs-2763	45	2	a	a	DET
bitcs-2763	45	3	sample	sample	NOUN
bitcs-2763	45	4	of	of	ADP
bitcs-2763	45	5	100	100	NUM
bitcs-2763	45	6	signatures	signature	NOUN
bitcs-2763	45	7	consisting	consist	VERB
bitcs-2763	45	8	of	of	ADP
bitcs-2763	45	9	10	10	NUM
bitcs-2763	45	10	original	original	ADJ
bitcs-2763	45	11	signatures	signature	NOUN
bitcs-2763	45	12	and	and	CCONJ
bitcs-2763	45	13	10	10	NUM
bitcs-2763	45	14	fake	fake	ADJ
bitcs-2763	45	15	signatures	signature	NOUN
bitcs-2763	45	16	for	for	ADP
bitcs-2763	45	17	each	each	DET
bitcs-2763	45	18	person	person	NOUN
bitcs-2763	45	19	.	.	PUNCT
bitcs-2763	46	1	this	this	DET
bitcs-2763	46	2	sample	sample	NOUN
bitcs-2763	46	3	was	be	AUX
bitcs-2763	46	4	taken	take	VERB
bitcs-2763	46	5	from	from	ADP
bitcs-2763	46	6	5	5	NUM
bitcs-2763	46	7	people	people	NOUN
bitcs-2763	46	8	who	who	PRON
bitcs-2763	46	9	gave	give	VERB
bitcs-2763	46	10	signatures	signature	NOUN
bitcs-2763	46	11	.	.	PUNCT
bitcs-2763	47	1	research	research	NOUN
bitcs-2763	48	1	[	[	X
bitcs-2763	48	2	3	3	X
bitcs-2763	48	3	]	]	PUNCT
bitcs-2763	48	4	with	with	ADP
bitcs-2763	48	5	the	the	DET
bitcs-2763	48	6	euclidean	euclidean	ADJ
bitcs-2763	48	7	distance	distance	NOUN
bitcs-2763	48	8	model	model	NOUN
bitcs-2763	48	9	classification	classification	NOUN
bitcs-2763	48	10	algorithm	algorithm	NOUN
bitcs-2763	48	11	and	and	CCONJ
bitcs-2763	48	12	geometric	geometric	ADJ
bitcs-2763	48	13	center	center	NOUN
bitcs-2763	48	14	feature	feature	NOUN
bitcs-2763	48	15	extraction	extraction	NOUN
bitcs-2763	48	16	on	on	ADP
bitcs-2763	48	17	signature	signature	NOUN
bitcs-2763	48	18	verification	verification	NOUN
bitcs-2763	48	19	,	,	PUNCT
bitcs-2763	48	20	resulted	result	VERB
bitcs-2763	48	21	in	in	ADP
bitcs-2763	48	22	a	a	DET
bitcs-2763	48	23	random	random	ADJ
bitcs-2763	48	24	far	far	ADV
bitcs-2763	48	25	of	of	ADP
bitcs-2763	48	26	2.08	2.08	NUM
bitcs-2763	48	27	%	%	NOUN
bitcs-2763	48	28	,	,	PUNCT
bitcs-2763	48	29	simple	simple	ADJ
bitcs-2763	48	30	9.75	9.75	NUM
bitcs-2763	48	31	%	%	NOUN
bitcs-2763	48	32	and	and	CCONJ
bitcs-2763	48	33	16.36	16.36	NUM
bitcs-2763	48	34	%	%	NOUN
bitcs-2763	48	35	skilled	skilled	ADJ
bitcs-2763	48	36	forgeries	forgery	NOUN
bitcs-2763	48	37	.	.	PUNCT
bitcs-2763	49	1	meanwhile	meanwhile	ADV
bitcs-2763	49	2	,	,	PUNCT
bitcs-2763	49	3	the	the	DET
bitcs-2763	49	4	frr	frr	NOUN
bitcs-2763	49	5	was	be	AUX
bitcs-2763	49	6	14.58	14.58	NUM
bitcs-2763	49	7	%	%	NOUN
bitcs-2763	49	8	.	.	PUNCT
bitcs-2763	50	1	signatures	signature	NOUN
bitcs-2763	50	2	tested	test	VERB
bitcs-2763	50	3	were	be	AUX
bitcs-2763	50	4	as	as	ADV
bitcs-2763	50	5	many	many	ADJ
bitcs-2763	50	6	as	as	ADP
bitcs-2763	50	7	21	21	NUM
bitcs-2763	50	8	original	original	ADJ
bitcs-2763	50	9	signatures	signature	NOUN
bitcs-2763	50	10	and	and	CCONJ
bitcs-2763	50	11	30	30	NUM
bitcs-2763	50	12	fake	fake	ADJ
bitcs-2763	50	13	signatures	signature	NOUN
bitcs-2763	50	14	.	.	PUNCT
bitcs-2763	51	1	from	from	ADP
bitcs-2763	51	2	these	these	DET
bitcs-2763	51	3	signatures	signature	NOUN
bitcs-2763	51	4	,	,	PUNCT
bitcs-2763	51	5	9	9	NUM
bitcs-2763	51	6	original	original	ADJ
bitcs-2763	51	7	signatures	signature	NOUN
bitcs-2763	51	8	were	be	AUX
bitcs-2763	51	9	found	find	VERB
bitcs-2763	51	10	.	.	PUNCT
bitcs-2763	52	1	research	research	NOUN
bitcs-2763	53	1	[	[	X
bitcs-2763	53	2	4	4	X
bitcs-2763	53	3	]	]	PUNCT
bitcs-2763	53	4	carried	carry	VERB
bitcs-2763	53	5	out	out	ADP
bitcs-2763	53	6	from	from	ADP
bitcs-2763	53	7	signature	signature	NOUN
bitcs-2763	53	8	verification	verification	NOUN
bitcs-2763	53	9	,	,	PUNCT
bitcs-2763	53	10	using	use	VERB
bitcs-2763	53	11	the	the	DET
bitcs-2763	53	12	nearest	near	ADJ
bitcs-2763	53	13	neighbour	neighbour	ADJ
bitcs-2763	53	14	classification	classification	NOUN
bitcs-2763	53	15	algorithm	algorithm	NOUN
bitcs-2763	53	16	and	and	CCONJ
bitcs-2763	53	17	using	use	VERB
bitcs-2763	53	18	gabor	gabor	PROPN
bitcs-2763	53	19	wavelet	wavelet	PROPN
bitcs-2763	53	20	feature	feature	NOUN
bitcs-2763	53	21	extraction	extraction	NOUN
bitcs-2763	53	22	.	.	PUNCT
bitcs-2763	54	1	this	this	DET
bitcs-2763	54	2	study	study	NOUN
bitcs-2763	54	3	resulted	result	VERB
bitcs-2763	54	4	in	in	ADP
bitcs-2763	54	5	verification	verification	NOUN
bitcs-2763	54	6	with	with	ADP
bitcs-2763	54	7	accuracy	accuracy	NOUN
bitcs-2763	54	8	≥	≥	X
bitcs-2763	54	9	human	human	ADJ
bitcs-2763	54	10	accuracy	accuracy	NOUN
bitcs-2763	54	11	in	in	ADP
bitcs-2763	54	12	carrying	carry	VERB
bitcs-2763	54	13	out	out	ADP
bitcs-2763	54	14	signature	signature	NOUN
bitcs-2763	54	15	verification	verification	NOUN
bitcs-2763	54	16	with	with	ADP
bitcs-2763	54	17	the	the	DET
bitcs-2763	54	18	smallest	small	ADJ
bitcs-2763	54	19	far	far	ADV
bitcs-2763	54	20	and	and	CCONJ
bitcs-2763	54	21	frr	frr	NOUN
bitcs-2763	54	22	values	value	NOUN
bitcs-2763	54	23	in	in	ADP
bitcs-2763	54	24	this	this	DET
bitcs-2763	54	25	study	study	NOUN
bitcs-2763	54	26	were	be	AUX
bitcs-2763	54	27	22.5	22.5	NUM
bitcs-2763	54	28	%	%	NOUN
bitcs-2763	54	29	and	and	CCONJ
bitcs-2763	54	30	15.5	15.5	NUM
bitcs-2763	54	31	%	%	NOUN
bitcs-2763	54	32	.	.	PUNCT
bitcs-2763	55	1	research	research	NOUN
bitcs-2763	56	1	[	[	X
bitcs-2763	56	2	5	5	NUM
bitcs-2763	56	3	]	]	PUNCT
bitcs-2763	56	4	identified	identify	VERB
bitcs-2763	56	5	signatures	signature	NOUN
bitcs-2763	56	6	based	base	VERB
bitcs-2763	56	7	on	on	ADP
bitcs-2763	56	8	fourier	fourier	ADJ
bitcs-2763	56	9	descriptor	descriptor	NOUN
bitcs-2763	56	10	and	and	CCONJ
bitcs-2763	56	11	chain	chain	NOUN
bitcs-2763	56	12	codes	code	NOUN
bitcs-2763	56	13	and	and	CCONJ
bitcs-2763	56	14	produced	produce	VERB
bitcs-2763	56	15	far	far	ADV
bitcs-2763	56	16	=	=	SYM
bitcs-2763	56	17	2.6	2.6	NUM
bitcs-2763	56	18	%	%	NOUN
bitcs-2763	56	19	and	and	CCONJ
bitcs-2763	56	20	frr	frr	NOUN
bitcs-2763	56	21	=	=	NOUN
bitcs-2763	56	22	1.6	1.6	NUM
bitcs-2763	56	23	%	%	NOUN
bitcs-2763	56	24	in	in	ADP
bitcs-2763	56	25	the	the	DET
bitcs-2763	56	26	verification	verification	NOUN
bitcs-2763	56	27	process	process	NOUN
bitcs-2763	56	28	.	.	PUNCT
bitcs-2763	57	1	this	this	DET
bitcs-2763	57	2	study	study	NOUN
bitcs-2763	57	3	uses	use	VERB
bitcs-2763	57	4	the	the	DET
bitcs-2763	57	5	pca	pca	NOUN
bitcs-2763	57	6	algorithm	algorithm	NOUN
bitcs-2763	57	7	and	and	CCONJ
bitcs-2763	57	8	ann	ann	PROPN
bitcs-2763	57	9	feed	feed	VERB
bitcs-2763	57	10	forward	forward	ADV
bitcs-2763	57	11	for	for	ADP
bitcs-2763	57	12	classification	classification	NOUN
bitcs-2763	57	13	.	.	PUNCT
bitcs-2763	58	1	meanwhile	meanwhile	ADV
bitcs-2763	58	2	,	,	PUNCT
bitcs-2763	58	3	for	for	ADP
bitcs-2763	58	4	feature	feature	NOUN
bitcs-2763	58	5	extraction	extraction	NOUN
bitcs-2763	58	6	using	use	VERB
bitcs-2763	58	7	fourier	fourier	ADJ
bitcs-2763	58	8	descriptor	descriptor	NOUN
bitcs-2763	58	9	and	and	CCONJ
bitcs-2763	58	10	chain	chain	NOUN
bitcs-2763	58	11	codes	code	NOUN
bitcs-2763	58	12	.	.	PUNCT
bitcs-2763	59	1	research	research	NOUN
bitcs-2763	60	1	[	[	X
bitcs-2763	60	2	6	6	NUM
bitcs-2763	60	3	]	]	PUNCT
bitcs-2763	60	4	the	the	DET
bitcs-2763	60	5	approach	approach	NOUN
bitcs-2763	60	6	used	use	VERB
bitcs-2763	60	7	for	for	ADP
bitcs-2763	60	8	feature	feature	NOUN
bitcs-2763	60	9	extraction	extraction	NOUN
bitcs-2763	60	10	is	be	AUX
bitcs-2763	60	11	to	to	PART
bitcs-2763	60	12	divide	divide	VERB
bitcs-2763	60	13	the	the	DET
bitcs-2763	60	14	image	image	NOUN
bitcs-2763	60	15	into	into	ADP
bitcs-2763	60	16	rectangles	rectangle	NOUN
bitcs-2763	60	17	based	base	VERB
bitcs-2763	60	18	on	on	ADP
bitcs-2763	60	19	the	the	DET
bitcs-2763	60	20	midpoint	midpoint	NOUN
bitcs-2763	60	21	of	of	ADP
bitcs-2763	60	22	gravity	gravity	NOUN
bitcs-2763	60	23	of	of	ADP
bitcs-2763	60	24	the	the	DET
bitcs-2763	60	25	signature	signature	NOUN
bitcs-2763	60	26	.	.	PUNCT
bitcs-2763	61	1	the	the	DET
bitcs-2763	61	2	classification	classification	NOUN
bitcs-2763	61	3	uses	use	VERB
bitcs-2763	61	4	euclidean	euclidean	ADJ
bitcs-2763	61	5	distance	distance	NOUN
bitcs-2763	61	6	.	.	PUNCT
bitcs-2763	62	1	the	the	DET
bitcs-2763	62	2	result	result	NOUN
bitcs-2763	62	3	is	be	AUX
bitcs-2763	62	4	0	0	NUM
bitcs-2763	62	5	%	%	NOUN
bitcs-2763	62	6	random	random	ADJ
bitcs-2763	62	7	far	far	ADV
bitcs-2763	62	8	,	,	PUNCT
bitcs-2763	62	9	0	0	NUM
bitcs-2763	62	10	%	%	NOUN
bitcs-2763	62	11	simple	simple	ADJ
bitcs-2763	62	12	and	and	CCONJ
bitcs-2763	62	13	1	1	NUM
bitcs-2763	62	14	%	%	NOUN
bitcs-2763	62	15	skilled	skilled	ADJ
bitcs-2763	62	16	.	.	PUNCT
bitcs-2763	63	1	meanwhile	meanwhile	ADV
bitcs-2763	63	2	,	,	PUNCT
bitcs-2763	63	3	the	the	DET
bitcs-2763	63	4	frr	frr	NOUN
bitcs-2763	63	5	is	be	AUX
bitcs-2763	63	6	0.5	0.5	NUM
bitcs-2763	63	7	%	%	NOUN
bitcs-2763	63	8	.	.	PUNCT
bitcs-2763	64	1	a	a	DET
bitcs-2763	64	2	)	)	PUNCT
bitcs-2763	64	3	k	k	NOUN
bitcs-2763	64	4	-	-	PUNCT
bitcs-2763	64	5	nearest	near	ADJ
bitcs-2763	64	6	neighbour	neighbour	NOUN
bitcs-2763	64	7	(	(	PUNCT
bitcs-2763	64	8	knn	knn	PROPN
bitcs-2763	64	9	)	)	PUNCT
bitcs-2763	64	10	k	k	NOUN
bitcs-2763	64	11	-	-	PUNCT
bitcs-2763	64	12	nearest	near	ADJ
bitcs-2763	64	13	neighbour	neighbour	NOUN
bitcs-2763	64	14	is	be	AUX
bitcs-2763	64	15	a	a	DET
bitcs-2763	64	16	non	non	ADJ
bitcs-2763	64	17	-	-	ADJ
bitcs-2763	64	18	parametric	parametric	ADJ
bitcs-2763	64	19	classification	classification	NOUN
bitcs-2763	64	20	even	even	ADV
bitcs-2763	64	21	though	though	SCONJ
bitcs-2763	64	22	it	it	PRON
bitcs-2763	64	23	is	be	AUX
bitcs-2763	64	24	simple	simple	ADJ
bitcs-2763	65	1	but	but	CCONJ
bitcs-2763	65	2	it	it	PRON
bitcs-2763	65	3	is	be	AUX
bitcs-2763	65	4	one	one	NUM
bitcs-2763	65	5	of	of	ADP
bitcs-2763	65	6	the	the	DET
bitcs-2763	65	7	popular	popular	ADJ
bitcs-2763	65	8	and	and	CCONJ
bitcs-2763	65	9	well	well	ADV
bitcs-2763	65	10	-	-	PUNCT
bitcs-2763	65	11	known	know	VERB
bitcs-2763	65	12	and	and	CCONJ
bitcs-2763	65	13	often	often	ADV
bitcs-2763	65	14	used	use	VERB
bitcs-2763	65	15	.	.	PUNCT
bitcs-2763	66	1	the	the	DET
bitcs-2763	66	2	key	key	NOUN
bitcs-2763	66	3	to	to	ADP
bitcs-2763	66	4	this	this	DET
bitcs-2763	66	5	method	method	NOUN
bitcs-2763	66	6	is	be	AUX
bitcs-2763	66	7	the	the	DET
bitcs-2763	66	8	user	user	NOUN
bitcs-2763	66	9	-	-	PUNCT
bitcs-2763	66	10	defined	define	VERB
bitcs-2763	66	11	k	k	PROPN
bitcs-2763	66	12	parameter	parameter	NOUN
bitcs-2763	66	13	.	.	PUNCT
bitcs-2763	67	1	when	when	SCONJ
bitcs-2763	67	2	k	k	PROPN
bitcs-2763	67	3	is	be	AUX
bitcs-2763	67	4	selected	select	VERB
bitcs-2763	67	5	and	and	CCONJ
bitcs-2763	67	6	given	give	VERB
bitcs-2763	67	7	the	the	DET
bitcs-2763	67	8	x	x	NOUN
bitcs-2763	67	9	pattern	pattern	NOUN
bitcs-2763	67	10	,	,	PUNCT
bitcs-2763	67	11	assign	assign	VERB
bitcs-2763	67	12	the	the	DET
bitcs-2763	67	13	pattern	pattern	NOUN
bitcs-2763	67	14	to	to	ADP
bitcs-2763	67	15	the	the	DET
bitcs-2763	67	16	class	class	NOUN
bitcs-2763	67	17	that	that	PRON
bitcs-2763	67	18	has	have	VERB
bitcs-2763	67	19	the	the	DET
bitcs-2763	67	20	greatest	great	ADJ
bitcs-2763	67	21	number	number	NOUN
bitcs-2763	67	22	of	of	ADP
bitcs-2763	67	23	knearest	knearest	NOUN
bitcs-2763	67	24	neighbour	neighbour	NOUN
bitcs-2763	67	25	(	(	PUNCT
bitcs-2763	67	26	a	a	DET
bitcs-2763	67	27	calculation	calculation	NOUN
bitcs-2763	67	28	to	to	PART
bitcs-2763	67	29	measure	measure	VERB
bitcs-2763	67	30	the	the	DET
bitcs-2763	67	31	distance	distance	NOUN
bitcs-2763	67	32	to	to	ADP
bitcs-2763	67	33	the	the	DET
bitcs-2763	67	34	nearest	near	ADJ
bitcs-2763	67	35	neighbour	neighbour	NOUN
bitcs-2763	67	36	)	)	PUNCT
bitcs-2763	67	37	,	,	PUNCT
bitcs-2763	67	38	because	because	SCONJ
bitcs-2763	67	39	k	k	PROPN
bitcs-2763	67	40	-	-	PUNCT
bitcs-2763	67	41	nn	nn	PROPN
bitcs-2763	67	42	uses	use	VERB
bitcs-2763	67	43	a	a	DET
bitcs-2763	67	44	calculation	calculation	NOUN
bitcs-2763	67	45	by	by	ADP
bitcs-2763	67	46	determining	determine	VERB
bitcs-2763	67	47	the	the	DET
bitcs-2763	67	48	closest	close	ADJ
bitcs-2763	67	49	distance	distance	NOUN
bitcs-2763	67	50	.	.	PUNCT
bitcs-2763	68	1	the	the	DET
bitcs-2763	68	2	calculation	calculation	NOUN
bitcs-2763	68	3	of	of	ADP
bitcs-2763	68	4	the	the	DET
bitcs-2763	68	5	distance	distance	NOUN
bitcs-2763	68	6	used	use	VERB
bitcs-2763	68	7	in	in	ADP
bitcs-2763	68	8	the	the	DET
bitcs-2763	68	9	k	k	PROPN
bitcs-2763	68	10	-	-	PROPN
bitcs-2763	68	11	nn	nn	PROPN
bitcs-2763	69	1	[	[	X
bitcs-2763	69	2	9	9	NUM
bitcs-2763	69	3	]	]	SYM
bitcs-2763	69	4	:	:	PUNCT
bitcs-2763	69	5	i.	i.	PROPN
bitcs-2763	69	6	euclidean	euclidean	PROPN
bitcs-2763	69	7	distance	distance	PROPN
bitcs-2763	69	8	ii	ii	PROPN
bitcs-2763	69	9	.	.	PROPN
bitcs-2763	69	10	manhattan	manhattan	PROPN
bitcs-2763	69	11	distance	distance	PROPN
bitcs-2763	69	12	b	b	PROPN
bitcs-2763	69	13	)	)	PUNCT
bitcs-2763	69	14	harris	harris	PROPN
bitcs-2763	69	15	corner	corner	PROPN
bitcs-2763	69	16	harris	harris	PROPN
bitcs-2763	69	17	corner	corner	PROPN
bitcs-2763	69	18	detector	detector	PROPN
bitcs-2763	69	19	(	(	PUNCT
bitcs-2763	69	20	harris	harris	PROPN
bitcs-2763	69	21	angle	angle	PROPN
bitcs-2763	69	22	detector	detector	NOUN
bitcs-2763	69	23	)	)	PUNCT
bitcs-2763	69	24	is	be	AUX
bitcs-2763	69	25	a	a	DET
bitcs-2763	69	26	point	point	NOUN
bitcs-2763	69	27	(	(	PUNCT
bitcs-2763	69	28	angle	angle	NOUN
bitcs-2763	69	29	)	)	PUNCT
bitcs-2763	69	30	detector	detector	NOUN
bitcs-2763	69	31	that	that	PRON
bitcs-2763	69	32	is	be	AUX
bitcs-2763	69	33	often	often	ADV
bitcs-2763	69	34	used	use	VERB
bitcs-2763	69	35	because	because	SCONJ
bitcs-2763	69	36	it	it	PRON
bitcs-2763	69	37	is	be	AUX
bitcs-2763	69	38	able	able	ADJ
bitcs-2763	69	39	to	to	PART
bitcs-2763	69	40	produce	produce	VERB
bitcs-2763	69	41	consistent	consistent	ADJ
bitcs-2763	69	42	values	value	NOUN
bitcs-2763	69	43	despite	despite	SCONJ
bitcs-2763	69	44	rotation	rotation	NOUN
bitcs-2763	69	45	,	,	PUNCT
bitcs-2763	69	46	scale	scale	NOUN
bitcs-2763	69	47	,	,	PUNCT
bitcs-2763	69	48	lighting	lighting	NOUN
bitcs-2763	69	49	variations	variation	NOUN
bitcs-2763	69	50	and	and	CCONJ
bitcs-2763	69	51	noise	noise	NOUN
bitcs-2763	69	52	.	.	PUNCT
bitcs-2763	70	1	harris	harris	PROPN
bitcs-2763	70	2	angle	angle	PROPN
bitcs-2763	70	3	detector	detector	NOUN
bitcs-2763	70	4	based	base	VERB
bitcs-2763	70	5	on	on	ADP
bitcs-2763	70	6	the	the	DET
bitcs-2763	70	7	autocorrelation	autocorrelation	NOUN
bitcs-2763	70	8	function	function	NOUN
bitcs-2763	70	9	of	of	ADP
bitcs-2763	70	10	the	the	DET
bitcs-2763	70	11	local	local	ADJ
bitcs-2763	70	12	signal	signal	NOUN
bitcs-2763	70	13	which	which	PRON
bitcs-2763	70	14	calculates	calculate	VERB
bitcs-2763	70	15	the	the	DET
bitcs-2763	70	16	local	local	ADJ
bitcs-2763	70	17	change	change	NOUN
bitcs-2763	70	18	of	of	ADP
bitcs-2763	70	19	the	the	DET
bitcs-2763	70	20	signal	signal	NOUN
bitcs-2763	70	21	.	.	PUNCT
bitcs-2763	71	1	this	this	DET
bitcs-2763	71	2	detector	detector	NOUN
bitcs-2763	71	3	also	also	ADV
bitcs-2763	71	4	functions	function	VERB
bitcs-2763	71	5	to	to	PART
bitcs-2763	71	6	detect	detect	VERB
bitcs-2763	71	7	local	local	ADJ
bitcs-2763	71	8	gradients	gradient	NOUN
bitcs-2763	71	9	in	in	ADP
bitcs-2763	71	10	the	the	DET
bitcs-2763	71	11	horizontal	horizontal	ADJ
bitcs-2763	71	12	and	and	CCONJ
bitcs-2763	71	13	vertical	vertical	ADJ
bitcs-2763	71	14	directions	direction	NOUN
bitcs-2763	71	15	at	at	ADP
bitcs-2763	71	16	each	each	DET
bitcs-2763	71	17	surrounding	surround	VERB
bitcs-2763	71	18	point	point	NOUN
bitcs-2763	71	19	,	,	PUNCT
bitcs-2763	71	20	the	the	DET
bitcs-2763	71	21	aim	aim	NOUN
bitcs-2763	71	22	is	be	AUX
bitcs-2763	71	23	to	to	PART
bitcs-2763	71	24	find	find	VERB
bitcs-2763	71	25	the	the	DET
bitcs-2763	71	26	image	image	NOUN
bitcs-2763	71	27	value	value	NOUN
bitcs-2763	71	28	whose	whose	DET
bitcs-2763	71	29	intensity	intensity	NOUN
bitcs-2763	71	30	varies	vary	VERB
bitcs-2763	71	31	from	from	ADP
bitcs-2763	71	32	the	the	DET
bitcs-2763	71	33	two	two	NUM
bitcs-2763	71	34	directions	direction	NOUN
bitcs-2763	71	35	.	.	PUNCT
bitcs-2763	72	1	harris	harris	PROPN
bitcs-2763	72	2	corner	corner	PROPN
bitcs-2763	72	3	based	base	VERB
bitcs-2763	72	4	on	on	ADP
bitcs-2763	72	5	:	:	PUNCT
bitcs-2763	72	6	𝑆𝑖𝑗	𝑆𝑖𝑗	PROPN
bitcs-2763	72	7	=	=	PUNCT
bitcs-2763	72	8	∑	∑	PUNCT
bitcs-2763	72	9	∑	∑	PROPN
bitcs-2763	72	10	𝑊𝑚𝑛	𝑊𝑚𝑛	PROPN
bitcs-2763	72	11	[	[	PUNCT
bitcs-2763	72	12	ℎ𝑚𝑛	ℎ𝑚𝑛	NOUN
bitcs-2763	72	13	2	2	NUM
bitcs-2763	72	14	ℎ𝑚𝑛𝑣𝑚𝑛	ℎ𝑚𝑛𝑣𝑚𝑛	VERB
bitcs-2763	72	15	ℎ𝑚𝑛𝑣𝑚𝑛	ℎ𝑚𝑛𝑣𝑚𝑛	VERB
bitcs-2763	72	16	𝑣𝑚𝑛	𝑣𝑚𝑛	VERB
bitcs-2763	72	17	2	2	NUM
bitcs-2763	72	18	]	]	PUNCT
bitcs-2763	72	19	𝑗+𝐷	𝑗+𝐷	VERB
bitcs-2763	73	1	𝑚=𝑗−𝑑	𝑚=𝑗−𝑑	PROPN
bitcs-2763	73	2	𝑖+𝐷	𝑖+𝐷	NOUN
bitcs-2763	73	3	𝑚=𝑖−𝐷	𝑚=𝑖−𝐷	PUNCT
bitcs-2763	73	4	where	where	SCONJ
bitcs-2763	73	5	is	be	AUX
bitcs-2763	73	6	𝑆𝑖𝑗	𝑆𝑖𝑗	PROPN
bitcs-2763	73	7	calculated	calculate	VERB
bitcs-2763	73	8	in	in	ADP
bitcs-2763	73	9	the	the	DET
bitcs-2763	73	10	area	area	NOUN
bitcs-2763	73	11	of	of	ADP
bitcs-2763	73	12	measure	measure	NOUN
bitcs-2763	73	13	(	(	PUNCT
bitcs-2763	73	14	2d	2d	NOUN
bitcs-2763	73	15	+	+	CCONJ
bitcs-2763	73	16	1	1	NUM
bitcs-2763	73	17	)	)	PUNCT
bitcs-2763	73	18	x	x	NOUN
bitcs-2763	73	19	(	(	PUNCT
bitcs-2763	73	20	2d	2d	NOUN
bitcs-2763	73	21	+	+	CCONJ
bitcs-2763	73	22	1	1	NUM
bitcs-2763	73	23	)	)	PUNCT
bitcs-2763	73	24	around	around	ADP
bitcs-2763	73	25	position	position	NOUN
bitcs-2763	73	26	(	(	PUNCT
bitcs-2763	73	27	i	i	PROPN
bitcs-2763	73	28	,	,	PUNCT
bitcs-2763	73	29	j	j	PROPN
bitcs-2763	73	30	)	)	PUNCT
bitcs-2763	73	31	.	.	PUNCT
bitcs-2763	74	1	ℎ𝑚𝑛	ℎ𝑚𝑛	PROPN
bitcs-2763	74	2	represents	represent	VERB
bitcs-2763	74	3	the	the	DET
bitcs-2763	74	4	derived	derive	VERB
bitcs-2763	74	5	filter	filter	NOUN
bitcs-2763	74	6	response	response	NOUN
bitcs-2763	74	7	horizontally	horizontally	ADV
bitcs-2763	74	8	,	,	PUNCT
bitcs-2763	74	9	𝑊𝑚𝑛	𝑊𝑚𝑛	PROPN
bitcs-2763	74	10	on	on	ADP
bitcs-2763	74	11	vertical	vertical	ADJ
bitcs-2763	74	12	,	,	PUNCT
bitcs-2763	74	13	and	and	CCONJ
bitcs-2763	74	14	𝑊𝑚𝑛	𝑊𝑚𝑛	PROPN
bitcs-2763	74	15	is	be	AUX
bitcs-2763	74	16	the	the	DET
bitcs-2763	74	17	weight	weight	NOUN
bitcs-2763	74	18	that	that	PRON
bitcs-2763	74	19	reduces	reduce	VERB
bitcs-2763	74	20	the	the	DET
bitcs-2763	74	21	impact	impact	NOUN
bitcs-2763	74	22	of	of	ADP
bitcs-2763	74	23	the	the	DET
bitcs-2763	74	24	position	position	NOUN
bitcs-2763	74	25	.	.	PUNCT
bitcs-2763	75	1	the	the	DET
bitcs-2763	75	2	following	follow	VERB
bitcs-2763	75	3	is	be	AUX
bitcs-2763	75	4	the	the	DET
bitcs-2763	75	5	harris	harris	PROPN
bitcs-2763	75	6	corner	corner	PROPN
bitcs-2763	75	7	detection	detection	PROPN
bitcs-2763	75	8	algorithm	algorithm	NOUN
bitcs-2763	76	1	[	[	X
bitcs-2763	76	2	10	10	NUM
bitcs-2763	76	3	]	]	SYM
bitcs-2763	76	4	:	:	PUNCT
bitcs-2763	76	5	1	1	X
bitcs-2763	76	6	.	.	X
bitcs-2763	76	7	calculate	calculate	VERB
bitcs-2763	76	8	the	the	DET
bitcs-2763	76	9	x	x	X
bitcs-2763	76	10	and	and	CCONJ
bitcs-2763	76	11	y	y	PROPN
bitcs-2763	76	12	derivatives	derivative	NOUN
bitcs-2763	76	13	of	of	ADP
bitcs-2763	76	14	the	the	DET
bitcs-2763	76	15	figure	figure	NOUN
bitcs-2763	76	16	.	.	PUNCT
bitcs-2763	77	1	37	37	NUM
bitcs-2763	77	2	|	|	ADV
bitcs-2763	77	3	vol.3	vol.3	PROPN
bitcs-2763	77	4	no.2	no.2	PROPN
bitcs-2763	77	5	,	,	PUNCT
bitcs-2763	77	6	july	july	PROPN
bitcs-2763	77	7	2022	2022	NUM
bitcs-2763	77	8	2	2	NUM
bitcs-2763	77	9	.	.	PUNCT
bitcs-2763	77	10	calculate	calculate	VERB
bitcs-2763	77	11	the	the	DET
bitcs-2763	77	12	derivative	derivative	NOUN
bitcs-2763	77	13	of	of	ADP
bitcs-2763	77	14	each	each	DET
bitcs-2763	77	15	pixel	pixel	NOUN
bitcs-2763	77	16	3	3	NUM
bitcs-2763	77	17	.	.	PUNCT
bitcs-2763	77	18	calculate	calculate	VERB
bitcs-2763	77	19	the	the	DET
bitcs-2763	77	20	product	product	NOUN
bitcs-2763	77	21	of	of	ADP
bitcs-2763	77	22	the	the	DET
bitcs-2763	77	23	derivative	derivative	NOUN
bitcs-2763	77	24	of	of	ADP
bitcs-2763	77	25	each	each	DET
bitcs-2763	77	26	pixel	pixel	NOUN
bitcs-2763	77	27	.	.	PUNCT
bitcs-2763	78	1	4	4	NUM
bitcs-2763	78	2	.	.	NOUN
bitcs-2763	78	3	matrix	matrix	NOUN
bitcs-2763	78	4	form	form	NOUN
bitcs-2763	78	5	.	.	PUNCT
bitcs-2763	79	1	5	5	X
bitcs-2763	79	2	.	.	X
bitcs-2763	79	3	calculate	calculate	VERB
bitcs-2763	79	4	the	the	DET
bitcs-2763	79	5	detection	detection	NOUN
bitcs-2763	79	6	response	response	NOUN
bitcs-2763	79	7	in	in	ADP
bitcs-2763	79	8	each	each	DET
bitcs-2763	79	9	pixel	pixel	NOUN
bitcs-2763	79	10	.	.	PUNCT
bitcs-2763	80	1	6	6	NUM
bitcs-2763	80	2	.	.	X
bitcs-2763	80	3	threshold	threshold	NOUN
bitcs-2763	80	4	response	response	NOUN
bitcs-2763	80	5	value	value	NOUN
bitcs-2763	80	6	.	.	PUNCT
bitcs-2763	81	1	c	c	X
bitcs-2763	81	2	)	)	PUNCT
bitcs-2763	81	3	recall	recall	NOUN
bitcs-2763	81	4	,	,	PUNCT
bitcs-2763	81	5	precision	precision	NOUN
bitcs-2763	81	6	,	,	PUNCT
bitcs-2763	81	7	true	true	ADJ
bitcs-2763	81	8	negative	negative	ADJ
bitcs-2763	81	9	rate	rate	NOUN
bitcs-2763	81	10	and	and	CCONJ
bitcs-2763	81	11	accuracy	accuracy	NOUN
bitcs-2763	81	12	recall	recall	NOUN
bitcs-2763	81	13	to	to	PART
bitcs-2763	81	14	find	find	VERB
bitcs-2763	81	15	out	out	ADP
bitcs-2763	81	16	the	the	DET
bitcs-2763	81	17	answers	answer	NOUN
bitcs-2763	81	18	to	to	ADP
bitcs-2763	81	19	the	the	DET
bitcs-2763	81	20	system	system	NOUN
bitcs-2763	81	21	obtained	obtain	VERB
bitcs-2763	81	22	from	from	ADP
bitcs-2763	81	23	:	:	PUNCT
bitcs-2763	81	24	precision	precision	NOUN
bitcs-2763	81	25	to	to	PART
bitcs-2763	81	26	determine	determine	VERB
bitcs-2763	81	27	the	the	DET
bitcs-2763	81	28	accuracy	accuracy	NOUN
bitcs-2763	81	29	of	of	ADP
bitcs-2763	81	30	the	the	DET
bitcs-2763	81	31	system	system	NOUN
bitcs-2763	81	32	to	to	PART
bitcs-2763	81	33	recognize	recognize	VERB
bitcs-2763	81	34	the	the	DET
bitcs-2763	81	35	authenticity	authenticity	NOUN
bitcs-2763	81	36	of	of	ADP
bitcs-2763	81	37	signatures	signature	NOUN
bitcs-2763	81	38	obtained	obtain	VERB
bitcs-2763	81	39	from	from	ADP
bitcs-2763	81	40	:	:	PUNCT
bitcs-2763	81	41	accuracy	accuracy	NOUN
bitcs-2763	81	42	to	to	PART
bitcs-2763	81	43	determine	determine	VERB
bitcs-2763	81	44	the	the	DET
bitcs-2763	81	45	performance	performance	NOUN
bitcs-2763	81	46	of	of	ADP
bitcs-2763	81	47	the	the	DET
bitcs-2763	81	48	feature	feature	NOUN
bitcs-2763	81	49	extraction	extraction	NOUN
bitcs-2763	81	50	and	and	CCONJ
bitcs-2763	81	51	classification	classification	NOUN
bitcs-2763	81	52	used	use	VERB
bitcs-2763	81	53	.	.	PUNCT
bitcs-2763	82	1	table	table	NOUN
bitcs-2763	82	2	1	1	NUM
bitcs-2763	82	3	.	.	PUNCT
bitcs-2763	82	4	confusion	confusion	NOUN
bitcs-2763	82	5	matrix	matrix	NOUN
bitcs-2763	82	6	total	total	ADJ
bitcs-2763	82	7	population	population	NOUN
bitcs-2763	82	8	true	true	ADJ
bitcs-2763	82	9	condition	condition	NOUN
bitcs-2763	82	10	positive	positive	ADJ
bitcs-2763	82	11	condition	condition	NOUN
bitcs-2763	82	12	negative	negative	ADJ
bitcs-2763	82	13	condition	condition	NOUN
bitcs-2763	82	14	prediction	prediction	NOUN
bitcs-2763	82	15	condition	condition	NOUN
bitcs-2763	82	16	predicted	predict	VERB
bitcs-2763	82	17	condition	condition	NOUN
bitcs-2763	82	18	positive	positive	ADJ
bitcs-2763	82	19	true	true	ADJ
bitcs-2763	82	20	positive	positive	ADJ
bitcs-2763	82	21	false	false	ADJ
bitcs-2763	82	22	positive	positive	ADJ
bitcs-2763	82	23	predicted	predict	VERB
bitcs-2763	82	24	condition	condition	NOUN
bitcs-2763	82	25	negative	negative	ADJ
bitcs-2763	82	26	false	false	ADJ
bitcs-2763	82	27	negative	negative	ADJ
bitcs-2763	82	28	true	true	ADJ
bitcs-2763	82	29	negative	negative	ADJ
bitcs-2763	82	30	true	true	ADJ
bitcs-2763	82	31	positive	positive	ADJ
bitcs-2763	82	32	(	(	PUNCT
bitcs-2763	82	33	tp	tp	NOUN
bitcs-2763	82	34	)	)	PUNCT
bitcs-2763	82	35	is	be	AUX
bitcs-2763	82	36	when	when	SCONJ
bitcs-2763	82	37	the	the	DET
bitcs-2763	82	38	program	program	NOUN
bitcs-2763	82	39	recognizes	recognize	VERB
bitcs-2763	82	40	the	the	DET
bitcs-2763	82	41	authenticity	authenticity	NOUN
bitcs-2763	82	42	of	of	ADP
bitcs-2763	82	43	a	a	DET
bitcs-2763	82	44	signature	signature	NOUN
bitcs-2763	82	45	image	image	NOUN
bitcs-2763	82	46	,	,	PUNCT
bitcs-2763	82	47	it	it	PRON
bitcs-2763	82	48	indicates	indicate	VERB
bitcs-2763	82	49	that	that	SCONJ
bitcs-2763	82	50	the	the	DET
bitcs-2763	82	51	signature	signature	NOUN
bitcs-2763	82	52	image	image	NOUN
bitcs-2763	82	53	is	be	AUX
bitcs-2763	82	54	genuine	genuine	ADJ
bitcs-2763	82	55	(	(	PUNCT
bitcs-2763	82	56	true	true	ADJ
bitcs-2763	82	57	)	)	PUNCT
bitcs-2763	82	58	.	.	PUNCT
bitcs-2763	83	1	false	false	ADJ
bitcs-2763	83	2	positives	positive	NOUN
bitcs-2763	83	3	(	(	PUNCT
bitcs-2763	83	4	fp	fp	X
bitcs-2763	83	5	)	)	PUNCT
bitcs-2763	83	6	are	be	AUX
bitcs-2763	83	7	when	when	SCONJ
bitcs-2763	83	8	the	the	DET
bitcs-2763	83	9	program	program	NOUN
bitcs-2763	83	10	mistakenly	mistakenly	ADV
bitcs-2763	83	11	recognizes	recognize	VERB
bitcs-2763	83	12	the	the	DET
bitcs-2763	83	13	fake	fake	ADJ
bitcs-2763	83	14	signature	signature	NOUN
bitcs-2763	83	15	image	image	NOUN
bitcs-2763	83	16	as	as	ADP
bitcs-2763	83	17	the	the	DET
bitcs-2763	83	18	original	original	ADJ
bitcs-2763	83	19	signature	signature	NOUN
bitcs-2763	83	20	image	image	NOUN
bitcs-2763	83	21	.	.	PUNCT
bitcs-2763	84	1	false	false	ADJ
bitcs-2763	84	2	negative	negative	ADJ
bitcs-2763	84	3	(	(	PUNCT
bitcs-2763	84	4	fn	fn	NOUN
bitcs-2763	84	5	)	)	PUNCT
bitcs-2763	84	6	is	be	AUX
bitcs-2763	84	7	when	when	SCONJ
bitcs-2763	84	8	the	the	DET
bitcs-2763	84	9	program	program	NOUN
bitcs-2763	84	10	mistakenly	mistakenly	ADV
bitcs-2763	84	11	recognizes	recognize	VERB
bitcs-2763	84	12	the	the	DET
bitcs-2763	84	13	original	original	ADJ
bitcs-2763	84	14	signature	signature	NOUN
bitcs-2763	84	15	image	image	NOUN
bitcs-2763	84	16	as	as	ADP
bitcs-2763	84	17	a	a	DET
bitcs-2763	84	18	fake	fake	ADJ
bitcs-2763	84	19	signature	signature	NOUN
bitcs-2763	84	20	image	image	NOUN
bitcs-2763	84	21	.	.	PUNCT
bitcs-2763	85	1	true	true	ADJ
bitcs-2763	85	2	negative	negative	ADJ
bitcs-2763	85	3	(	(	PUNCT
bitcs-2763	85	4	tn	tn	NOUN
bitcs-2763	85	5	)	)	PUNCT
bitcs-2763	85	6	is	be	AUX
bitcs-2763	85	7	when	when	SCONJ
bitcs-2763	85	8	the	the	DET
bitcs-2763	85	9	program	program	NOUN
bitcs-2763	85	10	recognizes	recognize	VERB
bitcs-2763	85	11	a	a	DET
bitcs-2763	85	12	fake	fake	ADJ
bitcs-2763	85	13	signature	signature	NOUN
bitcs-2763	85	14	image	image	NOUN
bitcs-2763	85	15	as	as	ADP
bitcs-2763	85	16	a	a	DET
bitcs-2763	85	17	fake	fake	ADJ
bitcs-2763	85	18	(	(	PUNCT
bitcs-2763	85	19	true	true	ADJ
bitcs-2763	85	20	)	)	PUNCT
bitcs-2763	85	21	signature	signature	NOUN
bitcs-2763	85	22	image	image	NOUN
bitcs-2763	85	23	.	.	PUNCT
bitcs-2763	86	1	2.2	2.2	NUM
bitcs-2763	86	2	data	datum	NOUN
bitcs-2763	86	3	collection	collection	NOUN
bitcs-2763	86	4	signature	signature	NOUN
bitcs-2763	86	5	image	image	NOUN
bitcs-2763	86	6	data	datum	NOUN
bitcs-2763	86	7	,	,	PUNCT
bitcs-2763	86	8	obtained	obtain	VERB
bitcs-2763	86	9	from	from	ADP
bitcs-2763	86	10	the	the	DET
bitcs-2763	86	11	scanning	scanning	NOUN
bitcs-2763	86	12	process	process	NOUN
bitcs-2763	86	13	and	and	CCONJ
bitcs-2763	86	14	measuring	measure	VERB
bitcs-2763	86	15	400x400	400x400	NOUN
bitcs-2763	86	16	pixels	pixel	NOUN
bitcs-2763	86	17	totalling	total	VERB
bitcs-2763	86	18	300	300	NUM
bitcs-2763	86	19	images	image	NOUN
bitcs-2763	86	20	consisting	consist	VERB
bitcs-2763	86	21	of	of	ADP
bitcs-2763	86	22	150	150	NUM
bitcs-2763	86	23	original	original	ADJ
bitcs-2763	86	24	signatures	signature	NOUN
bitcs-2763	86	25	and	and	CCONJ
bitcs-2763	86	26	150	150	NUM
bitcs-2763	86	27	fake	fake	ADJ
bitcs-2763	86	28	signatures	signature	NOUN
bitcs-2763	86	29	.	.	PUNCT
bitcs-2763	87	1	these	these	DET
bitcs-2763	87	2	signatures	signature	NOUN
bitcs-2763	87	3	were	be	AUX
bitcs-2763	87	4	obtained	obtain	VERB
bitcs-2763	87	5	from	from	ADP
bitcs-2763	87	6	10	10	NUM
bitcs-2763	87	7	different	different	ADJ
bitcs-2763	87	8	people	people	NOUN
bitcs-2763	87	9	.	.	PUNCT
bitcs-2763	88	1	2.3	2.3	NUM
bitcs-2763	88	2	design	design	NOUN
bitcs-2763	88	3	this	this	DET
bitcs-2763	88	4	research	research	NOUN
bitcs-2763	88	5	step	step	NOUN
bitcs-2763	88	6	is	be	AUX
bitcs-2763	88	7	depicted	depict	VERB
bitcs-2763	88	8	in	in	ADP
bitcs-2763	88	9	figure	figure	NOUN
bitcs-2763	88	10	1	1	NUM
bitcs-2763	88	11	.	.	PUNCT
bitcs-2763	89	1	verification	verification	NOUN
bitcs-2763	89	2	of	of	ADP
bitcs-2763	89	3	the	the	DET
bitcs-2763	89	4	signature	signature	NOUN
bitcs-2763	89	5	starts	start	VERB
bitcs-2763	89	6	from	from	ADP
bitcs-2763	89	7	inputting	inputte	VERB
bitcs-2763	89	8	the	the	DET
bitcs-2763	89	9	image	image	NOUN
bitcs-2763	89	10	of	of	ADP
bitcs-2763	89	11	the	the	DET
bitcs-2763	89	12	signature	signature	NOUN
bitcs-2763	89	13	to	to	PART
bitcs-2763	89	14	be	be	AUX
bitcs-2763	89	15	tested	test	VERB
bitcs-2763	89	16	,	,	PUNCT
bitcs-2763	89	17	in	in	ADP
bitcs-2763	89	18	the	the	DET
bitcs-2763	89	19	form	form	NOUN
bitcs-2763	89	20	of	of	ADP
bitcs-2763	89	21	a	a	DET
bitcs-2763	89	22	grayscale	grayscale	NOUN
bitcs-2763	89	23	image	image	NOUN
bitcs-2763	89	24	measuring	measure	VERB
bitcs-2763	89	25	400x400	400x400	NOUN
bitcs-2763	89	26	pixels	pixel	NOUN
bitcs-2763	89	27	,	,	PUNCT
bitcs-2763	89	28	then	then	ADV
bitcs-2763	89	29	extracting	extract	VERB
bitcs-2763	89	30	it	it	PRON
bitcs-2763	89	31	to	to	PART
bitcs-2763	89	32	get	get	VERB
bitcs-2763	89	33	the	the	DET
bitcs-2763	89	34	characteristics	characteristic	NOUN
bitcs-2763	89	35	of	of	ADP
bitcs-2763	89	36	the	the	DET
bitcs-2763	89	37	image	image	NOUN
bitcs-2763	89	38	.	.	PUNCT
bitcs-2763	90	1	the	the	DET
bitcs-2763	90	2	results	result	NOUN
bitcs-2763	90	3	of	of	ADP
bitcs-2763	90	4	this	this	DET
bitcs-2763	90	5	feature	feature	NOUN
bitcs-2763	90	6	extraction	extraction	NOUN
bitcs-2763	90	7	in	in	ADP
bitcs-2763	90	8	the	the	DET
bitcs-2763	90	9	form	form	NOUN
bitcs-2763	90	10	of	of	ADP
bitcs-2763	90	11	coordinates	coordinate	NOUN
bitcs-2763	90	12	that	that	PRON
bitcs-2763	90	13	show	show	VERB
bitcs-2763	90	14	the	the	DET
bitcs-2763	90	15	location	location	NOUN
bitcs-2763	90	16	of	of	ADP
bitcs-2763	90	17	the	the	DET
bitcs-2763	90	18	angle	angle	NOUN
bitcs-2763	90	19	are	be	AUX
bitcs-2763	90	20	then	then	ADV
bitcs-2763	90	21	stored	store	VERB
bitcs-2763	90	22	with	with	ADP
bitcs-2763	90	23	the	the	DET
bitcs-2763	90	24	knn	knn	PROPN
bitcs-2763	90	25	model	model	NOUN
bitcs-2763	90	26	of	of	ADP
bitcs-2763	90	27	the	the	DET
bitcs-2763	90	28	grayscale	grayscale	NOUN
bitcs-2763	90	29	image	image	NOUN
bitcs-2763	90	30	feature	feature	NOUN
bitcs-2763	90	31	extraction	extraction	NOUN
bitcs-2763	90	32	to	to	PART
bitcs-2763	90	33	be	be	AUX
bitcs-2763	90	34	an	an	DET
bitcs-2763	90	35	example	example	NOUN
bitcs-2763	90	36	.	.	PUNCT
bitcs-2763	91	1	the	the	DET
bitcs-2763	91	2	extraction	extraction	NOUN
bitcs-2763	91	3	results	result	NOUN
bitcs-2763	91	4	are	be	AUX
bitcs-2763	91	5	then	then	ADV
bitcs-2763	91	6	calculated	calculate	VERB
bitcs-2763	91	7	the	the	DET
bitcs-2763	91	8	distance	distance	NOUN
bitcs-2763	91	9	with	with	ADP
bitcs-2763	91	10	the	the	DET
bitcs-2763	91	11	extracted	extract	VERB
bitcs-2763	91	12	samples	sample	NOUN
bitcs-2763	91	13	one	one	NUM
bitcs-2763	91	14	by	by	ADP
bitcs-2763	91	15	one	one	NUM
bitcs-2763	91	16	.	.	PUNCT
bitcs-2763	92	1	after	after	SCONJ
bitcs-2763	92	2	the	the	DET
bitcs-2763	92	3	distance	distance	NOUN
bitcs-2763	92	4	calculation	calculation	NOUN
bitcs-2763	92	5	results	result	NOUN
bitcs-2763	92	6	are	be	AUX
bitcs-2763	92	7	known	know	VERB
bitcs-2763	92	8	,	,	PUNCT
bitcs-2763	92	9	they	they	PRON
bitcs-2763	92	10	are	be	AUX
bitcs-2763	92	11	sorted	sort	VERB
bitcs-2763	92	12	from	from	ADP
bitcs-2763	92	13	smallest	small	ADJ
bitcs-2763	92	14	to	to	AUX
bitcs-2763	92	15	largest	large	ADJ
bitcs-2763	92	16	.	.	PUNCT
bitcs-2763	93	1	the	the	DET
bitcs-2763	93	2	signature	signature	NOUN
bitcs-2763	93	3	to	to	PART
bitcs-2763	93	4	be	be	AUX
bitcs-2763	93	5	verified	verify	VERB
bitcs-2763	93	6	by	by	ADP
bitcs-2763	93	7	category	category	NOUN
bitcs-2763	93	8	/	/	SYM
bitcs-2763	93	9	label	label	NOUN
bitcs-2763	93	10	(	(	PUNCT
bitcs-2763	93	11	fake	fake	ADJ
bitcs-2763	93	12	or	or	CCONJ
bitcs-2763	93	13	real	real	ADJ
bitcs-2763	93	14	)	)	PUNCT
bitcs-2763	93	15	,	,	PUNCT
bitcs-2763	93	16	selected	select	VERB
bitcs-2763	93	17	from	from	ADP
bitcs-2763	93	18	a	a	DET
bitcs-2763	93	19	predetermined	predetermined	ADJ
bitcs-2763	93	20	radius	radius	NOUN
bitcs-2763	93	21	,	,	PUNCT
bitcs-2763	93	22	will	will	AUX
bitcs-2763	93	23	be	be	AUX
bitcs-2763	93	24	tested	test	VERB
bitcs-2763	93	25	.	.	PUNCT
bitcs-2763	94	1	figure	figure	VERB
bitcs-2763	94	2	1	1	NUM
bitcs-2763	94	3	.	.	PUNCT
bitcs-2763	95	1	design	design	PROPN
bitcs-2763	95	2	diagram	diagram	PROPN
bitcs-2763	95	3	iii	iii	PROPN
bitcs-2763	95	4	.	.	PROPN
bitcs-2763	95	5	results	result	NOUN
bitcs-2763	95	6	and	and	CCONJ
bitcs-2763	95	7	discussion	discussion	NOUN
bitcs-2763	95	8	this	this	DET
bitcs-2763	95	9	signature	signature	NOUN
bitcs-2763	95	10	verification	verification	NOUN
bitcs-2763	95	11	system	system	NOUN
bitcs-2763	95	12	,	,	PUNCT
bitcs-2763	95	13	its	its	PRON
bitcs-2763	95	14	appearance	appearance	NOUN
bitcs-2763	95	15	can	can	AUX
bitcs-2763	95	16	be	be	AUX
bitcs-2763	95	17	seen	see	VERB
bitcs-2763	95	18	in	in	ADP
bitcs-2763	95	19	figure	figure	NOUN
bitcs-2763	95	20	2	2	NUM
bitcs-2763	95	21	below	below	ADV
bitcs-2763	95	22	.	.	PUNCT
bitcs-2763	96	1	this	this	DET
bitcs-2763	96	2	signature	signature	NOUN
bitcs-2763	96	3	verification	verification	NOUN
bitcs-2763	96	4	system	system	NOUN
bitcs-2763	96	5	will	will	AUX
bitcs-2763	96	6	be	be	AUX
bitcs-2763	96	7	carried	carry	VERB
bitcs-2763	96	8	out	out	ADP
bitcs-2763	96	9	in	in	ADP
bitcs-2763	96	10	two	two	NUM
bitcs-2763	96	11	ways	way	NOUN
bitcs-2763	96	12	for	for	ADP
bitcs-2763	96	13	calculating	calculate	VERB
bitcs-2763	96	14	the	the	DET
bitcs-2763	96	15	distance	distance	NOUN
bitcs-2763	96	16	,	,	PUNCT
bitcs-2763	96	17	namely	namely	ADV
bitcs-2763	96	18	euclidean	euclidean	ADJ
bitcs-2763	96	19	distance	distance	NOUN
bitcs-2763	96	20	and	and	CCONJ
bitcs-2763	96	21	manhattan	manhattan	PROPN
bitcs-2763	96	22	distance	distance	NOUN
bitcs-2763	96	23	.	.	PUNCT
bitcs-2763	97	1	in	in	ADP
bitcs-2763	97	2	figure	figure	NOUN
bitcs-2763	97	3	2	2	NUM
bitcs-2763	97	4	,	,	PUNCT
bitcs-2763	97	5	to	to	PART
bitcs-2763	97	6	verify	verify	VERB
bitcs-2763	97	7	the	the	DET
bitcs-2763	97	8	signature	signature	NOUN
bitcs-2763	97	9	by	by	ADP
bitcs-2763	97	10	pressing	press	VERB
bitcs-2763	97	11	the	the	DET
bitcs-2763	97	12	test	test	NOUN
bitcs-2763	97	13	image	image	NOUN
bitcs-2763	97	14	button	button	NOUN
bitcs-2763	97	15	to	to	PART
bitcs-2763	97	16	input	input	VERB
bitcs-2763	97	17	the	the	DET
bitcs-2763	97	18	image	image	NOUN
bitcs-2763	97	19	to	to	PART
bitcs-2763	97	20	be	be	AUX
bitcs-2763	97	21	tested	test	VERB
bitcs-2763	97	22	.	.	PUNCT
bitcs-2763	98	1	then	then	ADV
bitcs-2763	98	2	press	press	VERB
bitcs-2763	98	3	the	the	DET
bitcs-2763	98	4	original	original	ADJ
bitcs-2763	98	5	image	image	NOUN
bitcs-2763	98	6	button	button	NOUN
bitcs-2763	98	7	or	or	CCONJ
bitcs-2763	98	8	the	the	DET
bitcs-2763	98	9	fake	fake	ADJ
bitcs-2763	98	10	image	image	NOUN
bitcs-2763	98	11	button	button	NOUN
bitcs-2763	98	12	to	to	PART
bitcs-2763	98	13	input	input	VERB
bitcs-2763	98	14	the	the	DET
bitcs-2763	98	15	image	image	NOUN
bitcs-2763	98	16	that	that	PRON
bitcs-2763	98	17	will	will	AUX
bitcs-2763	98	18	be	be	AUX
bitcs-2763	98	19	used	use	VERB
bitcs-2763	98	20	as	as	ADP
bitcs-2763	98	21	training	training	NOUN
bitcs-2763	98	22	data	datum	NOUN
bitcs-2763	98	23	.	.	PUNCT
bitcs-2763	99	1	original	original	ADJ
bitcs-2763	99	2	and	and	CCONJ
bitcs-2763	99	3	fake	fake	ADJ
bitcs-2763	99	4	training	training	NOUN
bitcs-2763	99	5	data	datum	NOUN
bitcs-2763	99	6	signature	signature	NOUN
bitcs-2763	99	7	image	image	NOUN
bitcs-2763	99	8	is	be	AUX
bitcs-2763	99	9	required	require	VERB
bitcs-2763	99	10	for	for	ADP
bitcs-2763	99	11	verification	verification	NOUN
bitcs-2763	99	12	.	.	PUNCT
bitcs-2763	100	1	after	after	ADP
bitcs-2763	100	2	that	that	SCONJ
bitcs-2763	100	3	the	the	DET
bitcs-2763	100	4	training	training	NOUN
bitcs-2763	100	5	data	datum	NOUN
bitcs-2763	100	6	image	image	NOUN
bitcs-2763	100	7	is	be	AUX
bitcs-2763	100	8	entered	enter	VERB
bitcs-2763	100	9	,	,	PUNCT
bitcs-2763	100	10	press	press	VERB
bitcs-2763	100	11	the	the	DET
bitcs-2763	100	12	verification	verification	NOUN
bitcs-2763	100	13	button	button	NOUN
bitcs-2763	100	14	,	,	PUNCT
bitcs-2763	100	15	the	the	DET
bitcs-2763	100	16	results	result	NOUN
bitcs-2763	100	17	will	will	AUX
bitcs-2763	100	18	appear	appear	VERB
bitcs-2763	100	19	in	in	ADP
bitcs-2763	100	20	the	the	DET
bitcs-2763	100	21	massage	massage	NOUN
bitcs-2763	100	22	box	box	NOUN
bitcs-2763	100	23	.	.	PUNCT
bitcs-2763	101	1	38	38	NUM
bitcs-2763	101	2	|	|	ADV
bitcs-2763	101	3	vol.3	vol.3	PROPN
bitcs-2763	101	4	no.2	no.2	PROPN
bitcs-2763	101	5	,	,	PUNCT
bitcs-2763	101	6	july	july	PROPN
bitcs-2763	101	7	2022	2022	NUM
bitcs-2763	101	8	figure	figure	NOUN
bitcs-2763	101	9	2	2	NUM
bitcs-2763	101	10	.	.	PUNCT
bitcs-2763	101	11	display	display	NOUN
bitcs-2763	101	12	of	of	ADP
bitcs-2763	101	13	the	the	DET
bitcs-2763	101	14	verification	verification	NOUN
bitcs-2763	101	15	system	system	NOUN
bitcs-2763	101	16	test	test	NOUN
bitcs-2763	101	17	result	result	VERB
bitcs-2763	101	18	the	the	DET
bitcs-2763	101	19	test	test	NOUN
bitcs-2763	101	20	carried	carry	VERB
bitcs-2763	101	21	out	out	ADP
bitcs-2763	101	22	aims	aim	VERB
bitcs-2763	101	23	to	to	PART
bitcs-2763	101	24	determine	determine	VERB
bitcs-2763	101	25	the	the	DET
bitcs-2763	101	26	results	result	NOUN
bitcs-2763	101	27	of	of	ADP
bitcs-2763	101	28	the	the	DET
bitcs-2763	101	29	level	level	NOUN
bitcs-2763	101	30	of	of	ADP
bitcs-2763	101	31	accuracy	accuracy	NOUN
bitcs-2763	101	32	.	.	PUNCT
bitcs-2763	102	1	in	in	ADP
bitcs-2763	102	2	figure	figure	NOUN
bitcs-2763	102	3	3	3	NUM
bitcs-2763	102	4	below	below	ADV
bitcs-2763	102	5	,	,	PUNCT
bitcs-2763	102	6	an	an	DET
bitcs-2763	102	7	example	example	NOUN
bitcs-2763	102	8	of	of	ADP
bitcs-2763	102	9	a	a	DET
bitcs-2763	102	10	signature	signature	NOUN
bitcs-2763	102	11	that	that	PRON
bitcs-2763	102	12	will	will	AUX
bitcs-2763	102	13	be	be	AUX
bitcs-2763	102	14	used	use	VERB
bitcs-2763	102	15	in	in	ADP
bitcs-2763	102	16	research	research	NOUN
bitcs-2763	102	17	:	:	PUNCT
bitcs-2763	102	18	figure	figure	NOUN
bitcs-2763	102	19	3	3	NUM
bitcs-2763	102	20	.	.	PUNCT
bitcs-2763	102	21	sample	sample	NOUN
bitcs-2763	102	22	signature	signature	NOUN
bitcs-2763	102	23	in	in	ADP
bitcs-2763	102	24	figure	figure	NOUN
bitcs-2763	102	25	4	4	NUM
bitcs-2763	102	26	below	below	ADV
bitcs-2763	102	27	,	,	PUNCT
bitcs-2763	102	28	are	be	AUX
bitcs-2763	102	29	the	the	DET
bitcs-2763	102	30	results	result	NOUN
bitcs-2763	102	31	of	of	ADP
bitcs-2763	102	32	the	the	DET
bitcs-2763	102	33	signature	signature	NOUN
bitcs-2763	102	34	test	test	NOUN
bitcs-2763	102	35	image	image	NOUN
bitcs-2763	102	36	.	.	PUNCT
bitcs-2763	103	1	the	the	DET
bitcs-2763	103	2	signature	signature	NOUN
bitcs-2763	103	3	image	image	NOUN
bitcs-2763	103	4	that	that	PRON
bitcs-2763	103	5	will	will	AUX
bitcs-2763	103	6	be	be	AUX
bitcs-2763	103	7	used	use	VERB
bitcs-2763	103	8	is	be	AUX
bitcs-2763	103	9	obtained	obtain	VERB
bitcs-2763	103	10	from	from	ADP
bitcs-2763	103	11	the	the	DET
bitcs-2763	103	12	results	result	NOUN
bitcs-2763	103	13	of	of	ADP
bitcs-2763	103	14	the	the	DET
bitcs-2763	103	15	scan	scan	ADJ
bitcs-2763	103	16	process	process	NOUN
bitcs-2763	103	17	without	without	ADP
bitcs-2763	103	18	resizing	resizing	NOUN
bitcs-2763	103	19	,	,	PUNCT
bitcs-2763	103	20	totalling	total	VERB
bitcs-2763	103	21	300	300	NUM
bitcs-2763	103	22	image	image	NOUN
bitcs-2763	103	23	data	datum	NOUN
bitcs-2763	103	24	.	.	PUNCT
bitcs-2763	104	1	the	the	DET
bitcs-2763	104	2	data	data	NOUN
bitcs-2763	104	3	is	be	AUX
bitcs-2763	104	4	divided	divide	VERB
bitcs-2763	104	5	into	into	ADP
bitcs-2763	104	6	200	200	NUM
bitcs-2763	104	7	images	image	NOUN
bitcs-2763	104	8	of	of	ADP
bitcs-2763	104	9	training	training	NOUN
bitcs-2763	104	10	data	datum	NOUN
bitcs-2763	104	11	and	and	CCONJ
bitcs-2763	104	12	100	100	NUM
bitcs-2763	104	13	images	image	NOUN
bitcs-2763	104	14	as	as	ADP
bitcs-2763	104	15	test	test	NOUN
bitcs-2763	104	16	data	datum	NOUN
bitcs-2763	104	17	.	.	PUNCT
bitcs-2763	105	1	the	the	DET
bitcs-2763	105	2	signature	signature	NOUN
bitcs-2763	105	3	image	image	NOUN
bitcs-2763	105	4	which	which	PRON
bitcs-2763	105	5	is	be	AUX
bitcs-2763	105	6	the	the	DET
bitcs-2763	105	7	training	training	NOUN
bitcs-2763	105	8	data	datum	NOUN
bitcs-2763	105	9	will	will	AUX
bitcs-2763	105	10	not	not	PART
bitcs-2763	105	11	be	be	AUX
bitcs-2763	105	12	used	use	VERB
bitcs-2763	105	13	in	in	ADP
bitcs-2763	105	14	the	the	DET
bitcs-2763	105	15	test	test	NOUN
bitcs-2763	105	16	data	datum	NOUN
bitcs-2763	105	17	and	and	CCONJ
bitcs-2763	105	18	vice	vice	NOUN
bitcs-2763	105	19	versa	versa	ADV
bitcs-2763	105	20	.	.	PUNCT
bitcs-2763	106	1	when	when	SCONJ
bitcs-2763	106	2	testing	testing	NOUN
bitcs-2763	106	3	,	,	PUNCT
bitcs-2763	106	4	training	training	NOUN
bitcs-2763	106	5	data	datum	NOUN
bitcs-2763	106	6	and	and	CCONJ
bitcs-2763	106	7	test	test	NOUN
bitcs-2763	106	8	data	datum	NOUN
bitcs-2763	106	9	will	will	AUX
bitcs-2763	106	10	go	go	VERB
bitcs-2763	106	11	through	through	ADP
bitcs-2763	106	12	a	a	DET
bitcs-2763	106	13	feature	feature	NOUN
bitcs-2763	106	14	extraction	extraction	NOUN
bitcs-2763	106	15	process	process	NOUN
bitcs-2763	106	16	using	use	VERB
bitcs-2763	106	17	the	the	DET
bitcs-2763	106	18	harris	harris	PROPN
bitcs-2763	106	19	corner	corner	PROPN
bitcs-2763	106	20	method	method	PROPN
bitcs-2763	106	21	.	.	PUNCT
bitcs-2763	107	1	the	the	DET
bitcs-2763	107	2	results	result	NOUN
bitcs-2763	107	3	of	of	ADP
bitcs-2763	107	4	the	the	DET
bitcs-2763	107	5	coordinates	coordinate	NOUN
bitcs-2763	107	6	generated	generate	VERB
bitcs-2763	107	7	in	in	ADP
bitcs-2763	107	8	the	the	DET
bitcs-2763	107	9	feature	feature	NOUN
bitcs-2763	107	10	extraction	extraction	NOUN
bitcs-2763	107	11	process	process	NOUN
bitcs-2763	107	12	will	will	AUX
bitcs-2763	107	13	be	be	AUX
bitcs-2763	107	14	calculated	calculate	VERB
bitcs-2763	107	15	the	the	DET
bitcs-2763	107	16	distance	distance	NOUN
bitcs-2763	107	17	to	to	PART
bitcs-2763	107	18	knearest	knearest	VERB
bitcs-2763	107	19	neighbour	neighbour	NOUN
bitcs-2763	107	20	.	.	PUNCT
bitcs-2763	108	1	testing	testing	NOUN
bitcs-2763	108	2	on	on	ADP
bitcs-2763	108	3	the	the	DET
bitcs-2763	108	4	same	same	ADJ
bitcs-2763	108	5	signature	signature	NOUN
bitcs-2763	108	6	image	image	NOUN
bitcs-2763	108	7	model	model	NOUN
bitcs-2763	108	8	using	use	VERB
bitcs-2763	108	9	three	three	NUM
bitcs-2763	108	10	kinds	kind	NOUN
bitcs-2763	108	11	of	of	ADP
bitcs-2763	108	12	variable	variable	NOUN
bitcs-2763	108	13	k	k	PROPN
bitcs-2763	108	14	at	at	ADP
bitcs-2763	108	15	knearest	knearest	PROPN
bitcs-2763	108	16	neighbour	neighbour	NOUN
bitcs-2763	108	17	,	,	PUNCT
bitcs-2763	108	18	namely	namely	ADV
bitcs-2763	108	19	k	k	X
bitcs-2763	108	20	=	=	SYM
bitcs-2763	108	21	1	1	NUM
bitcs-2763	108	22	,	,	PUNCT
bitcs-2763	108	23	k	k	NOUN
bitcs-2763	108	24	=	=	SYM
bitcs-2763	108	25	3	3	NUM
bitcs-2763	108	26	,	,	PUNCT
bitcs-2763	108	27	k	k	NOUN
bitcs-2763	108	28	=	=	SYM
bitcs-2763	108	29	5	5	NUM
bitcs-2763	108	30	for	for	ADP
bitcs-2763	108	31	the	the	DET
bitcs-2763	108	32	calculation	calculation	NOUN
bitcs-2763	108	33	of	of	ADP
bitcs-2763	108	34	euclidean	euclidean	ADJ
bitcs-2763	108	35	distance	distance	NOUN
bitcs-2763	108	36	.	.	PUNCT
bitcs-2763	109	1	figure	figure	NOUN
bitcs-2763	109	2	4	4	NUM
bitcs-2763	109	3	.	.	PUNCT
bitcs-2763	109	4	image	image	NOUN
bitcs-2763	109	5	testing	testing	NOUN
bitcs-2763	109	6	results	result	NOUN
bitcs-2763	109	7	table	table	VERB
bitcs-2763	109	8	2	2	NUM
bitcs-2763	109	9	.	.	PUNCT
bitcs-2763	109	10	signature	signature	NOUN
bitcs-2763	109	11	testing	testing	NOUN
bitcs-2763	109	12	accuracy	accuracy	NOUN
bitcs-2763	110	1	k	k	NOUN
bitcs-2763	110	2	=	=	SYM
bitcs-2763	110	3	1	1	NUM
bitcs-2763	110	4	euclidean	euclidean	ADJ
bitcs-2763	110	5	distance	distance	NOUN
bitcs-2763	110	6	model	model	NOUN
bitcs-2763	110	7	type	type	NOUN
bitcs-2763	110	8	precision	precision	NOUN
bitcs-2763	110	9	(	(	PUNCT
bitcs-2763	110	10	%	%	INTJ
bitcs-2763	110	11	)	)	PUNCT
bitcs-2763	110	12	recall	recall	NOUN
bitcs-2763	110	13	(	(	PUNCT
bitcs-2763	110	14	%	%	NOUN
bitcs-2763	110	15	)	)	PUNCT
bitcs-2763	110	16	true	true	ADJ
bitcs-2763	110	17	negative	negative	ADJ
bitcs-2763	110	18	rate	rate	NOUN
bitcs-2763	110	19	(	(	PUNCT
bitcs-2763	110	20	%	%	INTJ
bitcs-2763	110	21	)	)	PUNCT
bitcs-2763	110	22	accuracy	accuracy	NOUN
bitcs-2763	110	23	(	(	PUNCT
bitcs-2763	110	24	%	%	NOUN
bitcs-2763	110	25	)	)	PUNCT
bitcs-2763	110	26	0	0	NUM
bitcs-2763	110	27	0	0	NUM
bitcs-2763	110	28	0	0	NUM
bitcs-2763	110	29	100	100	NUM
bitcs-2763	110	30	50	50	NUM
bitcs-2763	110	31	1	1	NUM
bitcs-2763	110	32	100	100	NUM
bitcs-2763	110	33	80	80	NUM
bitcs-2763	110	34	100	100	NUM
bitcs-2763	110	35	90	90	NUM
bitcs-2763	110	36	2	2	NUM
bitcs-2763	110	37	50	50	NUM
bitcs-2763	110	38	100	100	NUM
bitcs-2763	110	39	0	0	NUM
bitcs-2763	110	40	50	50	NUM
bitcs-2763	110	41	3	3	NUM
bitcs-2763	110	42	50	50	NUM
bitcs-2763	110	43	100	100	NUM
bitcs-2763	110	44	0	0	NUM
bitcs-2763	110	45	50	50	NUM
bitcs-2763	110	46	4	4	NUM
bitcs-2763	110	47	50	50	NUM
bitcs-2763	110	48	100	100	NUM
bitcs-2763	110	49	0	0	NUM
bitcs-2763	110	50	50	50	NUM
bitcs-2763	110	51	5	5	NUM
bitcs-2763	110	52	50	50	NUM
bitcs-2763	110	53	100	100	NUM
bitcs-2763	110	54	0	0	NUM
bitcs-2763	110	55	50	50	NUM
bitcs-2763	110	56	6	6	NUM
bitcs-2763	110	57	50	50	NUM
bitcs-2763	110	58	100	100	NUM
bitcs-2763	110	59	0	0	NUM
bitcs-2763	110	60	50	50	NUM
bitcs-2763	110	61	7	7	NUM
bitcs-2763	110	62	0	0	NUM
bitcs-2763	110	63	0	0	NUM
bitcs-2763	110	64	100	100	NUM
bitcs-2763	110	65	50	50	NUM
bitcs-2763	110	66	8	8	NUM
bitcs-2763	110	67	0	0	NUM
bitcs-2763	110	68	0	0	NUM
bitcs-2763	110	69	100	100	NUM
bitcs-2763	110	70	50	50	NUM
bitcs-2763	110	71	9	9	NUM
bitcs-2763	110	72	50	50	NUM
bitcs-2763	110	73	100	100	NUM
bitcs-2763	110	74	0	0	NUM
bitcs-2763	110	75	50	50	NUM
bitcs-2763	110	76	testing	testing	NOUN
bitcs-2763	110	77	with	with	ADP
bitcs-2763	110	78	k	k	PROPN
bitcs-2763	110	79	=	=	SYM
bitcs-2763	110	80	1	1	NUM
bitcs-2763	110	81	in	in	ADP
bitcs-2763	110	82	table	table	NOUN
bitcs-2763	110	83	2	2	NUM
bitcs-2763	110	84	using	use	VERB
bitcs-2763	110	85	euclidean	euclidean	ADJ
bitcs-2763	110	86	distance	distance	NOUN
bitcs-2763	110	87	calculations	calculation	NOUN
bitcs-2763	110	88	produces	produce	VERB
bitcs-2763	110	89	an	an	DET
bitcs-2763	110	90	average	average	ADJ
bitcs-2763	110	91	precision	precision	NOUN
bitcs-2763	110	92	of	of	ADP
bitcs-2763	110	93	40	40	NUM
bitcs-2763	110	94	%	%	NOUN
bitcs-2763	110	95	,	,	PUNCT
bitcs-2763	110	96	an	an	DET
bitcs-2763	110	97	average	average	ADJ
bitcs-2763	110	98	recall	recall	NOUN
bitcs-2763	110	99	of	of	ADP
bitcs-2763	110	100	68	68	NUM
bitcs-2763	110	101	%	%	NOUN
bitcs-2763	110	102	,	,	PUNCT
bitcs-2763	110	103	an	an	DET
bitcs-2763	110	104	average	average	ADJ
bitcs-2763	110	105	true	true	ADJ
bitcs-2763	110	106	negative	negative	ADJ
bitcs-2763	110	107	rate	rate	NOUN
bitcs-2763	110	108	of	of	ADP
bitcs-2763	110	109	40	40	NUM
bitcs-2763	110	110	%	%	NOUN
bitcs-2763	110	111	,	,	PUNCT
bitcs-2763	110	112	and	and	CCONJ
bitcs-2763	110	113	an	an	DET
bitcs-2763	110	114	average	average	ADJ
bitcs-2763	110	115	accuracy	accuracy	NOUN
bitcs-2763	110	116	of	of	ADP
bitcs-2763	110	117	54	54	NUM
bitcs-2763	110	118	%	%	NOUN
bitcs-2763	110	119	.	.	PUNCT
bitcs-2763	111	1	table	table	NOUN
bitcs-2763	111	2	3	3	NUM
bitcs-2763	111	3	.	.	PUNCT
bitcs-2763	111	4	signature	signature	NOUN
bitcs-2763	111	5	testing	testing	NOUN
bitcs-2763	111	6	accuracy	accuracy	NOUN
bitcs-2763	112	1	k	k	NOUN
bitcs-2763	113	1	=	=	SYM
bitcs-2763	113	2	3	3	NUM
bitcs-2763	113	3	euclidean	euclidean	NOUN
bitcs-2763	113	4	distance	distance	NOUN
bitcs-2763	113	5	model	model	NOUN
bitcs-2763	113	6	type	type	NOUN
bitcs-2763	113	7	precision	precision	NOUN
bitcs-2763	113	8	(	(	PUNCT
bitcs-2763	113	9	%	%	INTJ
bitcs-2763	113	10	)	)	PUNCT
bitcs-2763	113	11	recall	recall	NOUN
bitcs-2763	113	12	(	(	PUNCT
bitcs-2763	113	13	%	%	NOUN
bitcs-2763	113	14	)	)	PUNCT
bitcs-2763	113	15	true	true	ADJ
bitcs-2763	113	16	negative	negative	ADJ
bitcs-2763	113	17	rate	rate	NOUN
bitcs-2763	113	18	(	(	PUNCT
bitcs-2763	113	19	%	%	INTJ
bitcs-2763	113	20	)	)	PUNCT
bitcs-2763	113	21	accuracy	accuracy	NOUN
bitcs-2763	113	22	(	(	PUNCT
bitcs-2763	113	23	%	%	NOUN
bitcs-2763	113	24	)	)	PUNCT
bitcs-2763	113	25	0	0	NUM
bitcs-2763	114	1	0	0	NUM
bitcs-2763	114	2	0	0	NUM
bitcs-2763	114	3	100	100	NUM
bitcs-2763	114	4	50	50	NUM
bitcs-2763	114	5	1	1	NUM
bitcs-2763	114	6	50	50	NUM
bitcs-2763	114	7	40	40	NUM
bitcs-2763	114	8	60	60	NUM
bitcs-2763	114	9	50	50	NUM
bitcs-2763	114	10	2	2	NUM
bitcs-2763	114	11	100	100	NUM
bitcs-2763	114	12	20	20	NUM
bitcs-2763	114	13	100	100	NUM
bitcs-2763	114	14	60	60	NUM
bitcs-2763	114	15	3	3	NUM
bitcs-2763	114	16	50	50	NUM
bitcs-2763	114	17	100	100	NUM
bitcs-2763	114	18	0	0	NUM
bitcs-2763	114	19	50	50	NUM
bitcs-2763	114	20	4	4	NUM
bitcs-2763	114	21	50	50	NUM
bitcs-2763	114	22	100	100	NUM
bitcs-2763	114	23	0	0	NUM
bitcs-2763	114	24	50	50	NUM
bitcs-2763	114	25	5	5	NUM
bitcs-2763	114	26	50	50	NUM
bitcs-2763	114	27	100	100	NUM
bitcs-2763	114	28	0	0	NUM
bitcs-2763	114	29	50	50	NUM
bitcs-2763	114	30	6	6	NUM
bitcs-2763	114	31	50	50	NUM
bitcs-2763	114	32	100	100	NUM
bitcs-2763	114	33	0	0	NUM
bitcs-2763	114	34	50	50	NUM
bitcs-2763	114	35	7	7	NUM
bitcs-2763	114	36	0	0	NUM
bitcs-2763	114	37	0	0	NUM
bitcs-2763	114	38	100	100	NUM
bitcs-2763	114	39	50	50	NUM
bitcs-2763	114	40	8	8	NUM
bitcs-2763	114	41	0	0	NUM
bitcs-2763	114	42	0	0	NUM
bitcs-2763	114	43	100	100	NUM
bitcs-2763	114	44	50	50	NUM
bitcs-2763	114	45	9	9	NUM
bitcs-2763	114	46	50	50	NUM
bitcs-2763	114	47	100	100	NUM
bitcs-2763	114	48	0	0	NUM
bitcs-2763	114	49	50	50	NUM
bitcs-2763	114	50	testing	testing	NOUN
bitcs-2763	114	51	with	with	ADP
bitcs-2763	114	52	k	k	PROPN
bitcs-2763	114	53	=	=	SYM
bitcs-2763	114	54	3	3	NUM
bitcs-2763	114	55	in	in	ADP
bitcs-2763	114	56	table	table	NOUN
bitcs-2763	114	57	3	3	NUM
bitcs-2763	114	58	using	use	VERB
bitcs-2763	114	59	euclidean	euclidean	ADJ
bitcs-2763	114	60	distance	distance	NOUN
bitcs-2763	114	61	calculations	calculation	NOUN
bitcs-2763	114	62	produces	produce	VERB
bitcs-2763	114	63	an	an	DET
bitcs-2763	114	64	average	average	ADJ
bitcs-2763	114	65	precision	precision	NOUN
bitcs-2763	114	66	of	of	ADP
bitcs-2763	114	67	40	40	NUM
bitcs-2763	114	68	%	%	NOUN
bitcs-2763	114	69	,	,	PUNCT
bitcs-2763	114	70	an	an	DET
bitcs-2763	114	71	average	average	ADJ
bitcs-2763	114	72	recall	recall	NOUN
bitcs-2763	114	73	of	of	ADP
bitcs-2763	114	74	56	56	NUM
bitcs-2763	114	75	%	%	NOUN
bitcs-2763	114	76	,	,	PUNCT
bitcs-2763	114	77	an	an	DET
bitcs-2763	114	78	average	average	ADJ
bitcs-2763	114	79	true	true	ADJ
bitcs-2763	114	80	negative	negative	ADJ
bitcs-2763	114	81	rate	rate	NOUN
bitcs-2763	114	82	of	of	ADP
bitcs-2763	114	83	46	46	NUM
bitcs-2763	114	84	%	%	NOUN
bitcs-2763	114	85	,	,	PUNCT
bitcs-2763	114	86	and	and	CCONJ
bitcs-2763	114	87	an	an	DET
bitcs-2763	114	88	average	average	ADJ
bitcs-2763	114	89	accuracy	accuracy	NOUN
bitcs-2763	114	90	of	of	ADP
bitcs-2763	114	91	51	51	NUM
bitcs-2763	114	92	%	%	NOUN
bitcs-2763	114	93	.	.	PUNCT
bitcs-2763	115	1	table	table	NOUN
bitcs-2763	115	2	4	4	NUM
bitcs-2763	115	3	.	.	PUNCT
bitcs-2763	115	4	signature	signature	NOUN
bitcs-2763	115	5	testing	testing	NOUN
bitcs-2763	115	6	accuracy	accuracy	NOUN
bitcs-2763	116	1	k	k	NOUN
bitcs-2763	117	1	=	=	SYM
bitcs-2763	117	2	5	5	NUM
bitcs-2763	117	3	euclidean	euclidean	ADJ
bitcs-2763	117	4	distance	distance	NOUN
bitcs-2763	117	5	model	model	NOUN
bitcs-2763	117	6	type	type	NOUN
bitcs-2763	117	7	precision	precision	NOUN
bitcs-2763	117	8	(	(	PUNCT
bitcs-2763	117	9	%	%	INTJ
bitcs-2763	117	10	)	)	PUNCT
bitcs-2763	117	11	recall	recall	NOUN
bitcs-2763	117	12	(	(	PUNCT
bitcs-2763	117	13	%	%	NOUN
bitcs-2763	117	14	)	)	PUNCT
bitcs-2763	117	15	true	true	ADJ
bitcs-2763	117	16	negative	negative	ADJ
bitcs-2763	117	17	rate	rate	NOUN
bitcs-2763	117	18	(	(	PUNCT
bitcs-2763	117	19	%	%	INTJ
bitcs-2763	117	20	)	)	PUNCT
bitcs-2763	117	21	accuracy	accuracy	NOUN
bitcs-2763	117	22	(	(	PUNCT
bitcs-2763	117	23	%	%	NOUN
bitcs-2763	117	24	)	)	PUNCT
bitcs-2763	117	25	0	0	NUM
bitcs-2763	118	1	0	0	NUM
bitcs-2763	118	2	0	0	NUM
bitcs-2763	118	3	100	100	NUM
bitcs-2763	118	4	50	50	NUM
bitcs-2763	118	5	1	1	NUM
bitcs-2763	118	6	66.66	66.66	NUM
bitcs-2763	118	7	40	40	NUM
bitcs-2763	118	8	80	80	NUM
bitcs-2763	118	9	60	60	NUM
bitcs-2763	118	10	2	2	NUM
bitcs-2763	118	11	0	0	NUM
bitcs-2763	118	12	0	0	NUM
bitcs-2763	118	13	100	100	NUM
bitcs-2763	118	14	50	50	NUM
bitcs-2763	118	15	3	3	NUM
bitcs-2763	118	16	50	50	NUM
bitcs-2763	118	17	100	100	NUM
bitcs-2763	118	18	0	0	NUM
bitcs-2763	118	19	50	50	NUM
bitcs-2763	118	20	4	4	NUM
bitcs-2763	118	21	50	50	NUM
bitcs-2763	118	22	100	100	NUM
bitcs-2763	118	23	0	0	NUM
bitcs-2763	118	24	50	50	NUM
bitcs-2763	118	25	5	5	NUM
bitcs-2763	118	26	50	50	NUM
bitcs-2763	118	27	100	100	NUM
bitcs-2763	118	28	0	0	NUM
bitcs-2763	118	29	50	50	NUM
bitcs-2763	118	30	6	6	NUM
bitcs-2763	118	31	50	50	NUM
bitcs-2763	118	32	100	100	NUM
bitcs-2763	118	33	0	0	NUM
bitcs-2763	118	34	50	50	NUM
bitcs-2763	118	35	7	7	NUM
bitcs-2763	118	36	0	0	NUM
bitcs-2763	118	37	0	0	NUM
bitcs-2763	118	38	100	100	NUM
bitcs-2763	118	39	50	50	NUM
bitcs-2763	118	40	8	8	NUM
bitcs-2763	118	41	0	0	NUM
bitcs-2763	118	42	0	0	NUM
bitcs-2763	118	43	100	100	NUM
bitcs-2763	118	44	50	50	NUM
bitcs-2763	118	45	9	9	NUM
bitcs-2763	118	46	50	50	NUM
bitcs-2763	118	47	100	100	NUM
bitcs-2763	118	48	0	0	NUM
bitcs-2763	118	49	50	50	NUM
bitcs-2763	118	50	39	39	NUM
bitcs-2763	118	51	|	|	CCONJ
bitcs-2763	118	52	vol.3	vol.3	PROPN
bitcs-2763	118	53	no.2	no.2	PROPN
bitcs-2763	118	54	,	,	PUNCT
bitcs-2763	118	55	july	july	PROPN
bitcs-2763	118	56	2022	2022	NUM
bitcs-2763	118	57	testing	testing	NOUN
bitcs-2763	118	58	with	with	ADP
bitcs-2763	118	59	k	k	PROPN
bitcs-2763	118	60	=	=	SYM
bitcs-2763	118	61	5	5	NUM
bitcs-2763	118	62	using	use	VERB
bitcs-2763	118	63	the	the	DET
bitcs-2763	118	64	euclidean	euclidean	ADJ
bitcs-2763	118	65	distance	distance	NOUN
bitcs-2763	118	66	calculation	calculation	NOUN
bitcs-2763	118	67	in	in	ADP
bitcs-2763	118	68	table	table	NOUN
bitcs-2763	118	69	4	4	NUM
bitcs-2763	118	70	produces	produce	VERB
bitcs-2763	118	71	an	an	DET
bitcs-2763	118	72	average	average	ADJ
bitcs-2763	118	73	precision	precision	NOUN
bitcs-2763	118	74	of	of	ADP
bitcs-2763	118	75	31.66	31.66	NUM
bitcs-2763	118	76	%	%	NOUN
bitcs-2763	118	77	,	,	PUNCT
bitcs-2763	118	78	an	an	DET
bitcs-2763	118	79	average	average	ADJ
bitcs-2763	118	80	recall	recall	NOUN
bitcs-2763	118	81	of	of	ADP
bitcs-2763	118	82	54	54	NUM
bitcs-2763	118	83	%	%	NOUN
bitcs-2763	118	84	,	,	PUNCT
bitcs-2763	118	85	an	an	DET
bitcs-2763	118	86	average	average	ADJ
bitcs-2763	118	87	true	true	ADJ
bitcs-2763	118	88	negative	negative	ADJ
bitcs-2763	118	89	rate	rate	NOUN
bitcs-2763	118	90	of	of	ADP
bitcs-2763	118	91	48	48	NUM
bitcs-2763	118	92	%	%	NOUN
bitcs-2763	118	93	,	,	PUNCT
bitcs-2763	118	94	and	and	CCONJ
bitcs-2763	118	95	an	an	DET
bitcs-2763	118	96	average	average	ADJ
bitcs-2763	118	97	accuracy	accuracy	NOUN
bitcs-2763	118	98	of	of	ADP
bitcs-2763	118	99	51	51	NUM
bitcs-2763	118	100	%	%	NOUN
bitcs-2763	118	101	.	.	PUNCT
bitcs-2763	119	1	table	table	NOUN
bitcs-2763	119	2	5	5	NUM
bitcs-2763	119	3	.	.	PUNCT
bitcs-2763	120	1	signature	signature	NOUN
bitcs-2763	120	2	testing	testing	NOUN
bitcs-2763	120	3	accuracy	accuracy	NOUN
bitcs-2763	120	4	k	k	NOUN
bitcs-2763	120	5	=	=	SYM
bitcs-2763	120	6	1	1	NUM
bitcs-2763	120	7	manhattan	manhattan	PROPN
bitcs-2763	120	8	distance	distance	NOUN
bitcs-2763	120	9	model	model	NOUN
bitcs-2763	120	10	type	type	NOUN
bitcs-2763	120	11	precision	precision	NOUN
bitcs-2763	120	12	(	(	PUNCT
bitcs-2763	120	13	%	%	INTJ
bitcs-2763	120	14	)	)	PUNCT
bitcs-2763	120	15	recall	recall	NOUN
bitcs-2763	120	16	(	(	PUNCT
bitcs-2763	120	17	%	%	NOUN
bitcs-2763	120	18	)	)	PUNCT
bitcs-2763	120	19	true	true	ADJ
bitcs-2763	120	20	negative	negative	ADJ
bitcs-2763	120	21	rate	rate	NOUN
bitcs-2763	120	22	(	(	PUNCT
bitcs-2763	120	23	%	%	INTJ
bitcs-2763	120	24	)	)	PUNCT
bitcs-2763	120	25	accuracy	accuracy	NOUN
bitcs-2763	120	26	(	(	PUNCT
bitcs-2763	120	27	%	%	NOUN
bitcs-2763	120	28	)	)	PUNCT
bitcs-2763	120	29	0	0	NUM
bitcs-2763	121	1	0	0	NUM
bitcs-2763	121	2	0	0	NUM
bitcs-2763	121	3	100	100	NUM
bitcs-2763	121	4	50	50	NUM
bitcs-2763	121	5	1	1	NUM
bitcs-2763	121	6	0	0	NUM
bitcs-2763	121	7	0	0	NUM
bitcs-2763	121	8	100	100	NUM
bitcs-2763	121	9	50	50	NUM
bitcs-2763	121	10	2	2	NUM
bitcs-2763	121	11	50	50	NUM
bitcs-2763	121	12	100	100	NUM
bitcs-2763	121	13	0	0	NUM
bitcs-2763	121	14	50	50	NUM
bitcs-2763	121	15	3	3	NUM
bitcs-2763	121	16	50	50	NUM
bitcs-2763	121	17	100	100	NUM
bitcs-2763	121	18	0	0	NUM
bitcs-2763	121	19	50	50	NUM
bitcs-2763	121	20	4	4	NUM
bitcs-2763	121	21	50	50	NUM
bitcs-2763	121	22	100	100	NUM
bitcs-2763	121	23	0	0	NUM
bitcs-2763	121	24	50	50	NUM
bitcs-2763	121	25	5	5	NUM
bitcs-2763	121	26	50	50	NUM
bitcs-2763	121	27	100	100	NUM
bitcs-2763	121	28	0	0	NUM
bitcs-2763	121	29	50	50	NUM
bitcs-2763	121	30	6	6	NUM
bitcs-2763	121	31	50	50	NUM
bitcs-2763	121	32	100	100	NUM
bitcs-2763	121	33	0	0	NUM
bitcs-2763	121	34	50	50	NUM
bitcs-2763	121	35	7	7	NUM
bitcs-2763	121	36	0	0	NUM
bitcs-2763	121	37	0	0	NUM
bitcs-2763	121	38	100	100	NUM
bitcs-2763	121	39	50	50	NUM
bitcs-2763	121	40	8	8	NUM
bitcs-2763	121	41	0	0	NUM
bitcs-2763	121	42	0	0	NUM
bitcs-2763	121	43	100	100	NUM
bitcs-2763	121	44	50	50	NUM
bitcs-2763	121	45	9	9	NUM
bitcs-2763	121	46	50	50	NUM
bitcs-2763	121	47	100	100	NUM
bitcs-2763	121	48	0	0	NUM
bitcs-2763	121	49	50	50	NUM
bitcs-2763	121	50	testing	testing	NOUN
bitcs-2763	121	51	with	with	ADP
bitcs-2763	121	52	k	k	PROPN
bitcs-2763	121	53	=	=	SYM
bitcs-2763	121	54	1	1	NUM
bitcs-2763	121	55	using	use	VERB
bitcs-2763	121	56	the	the	DET
bitcs-2763	121	57	manhattan	manhattan	PROPN
bitcs-2763	121	58	distance	distance	NOUN
bitcs-2763	121	59	calculation	calculation	NOUN
bitcs-2763	121	60	in	in	ADP
bitcs-2763	121	61	table	table	NOUN
bitcs-2763	121	62	5	5	NUM
bitcs-2763	121	63	produces	produce	VERB
bitcs-2763	121	64	an	an	DET
bitcs-2763	121	65	average	average	ADJ
bitcs-2763	121	66	precision	precision	NOUN
bitcs-2763	121	67	of	of	ADP
bitcs-2763	121	68	30	30	NUM
bitcs-2763	121	69	%	%	NOUN
bitcs-2763	121	70	,	,	PUNCT
bitcs-2763	121	71	an	an	DET
bitcs-2763	121	72	average	average	ADJ
bitcs-2763	121	73	recall	recall	NOUN
bitcs-2763	121	74	of	of	ADP
bitcs-2763	121	75	60	60	NUM
bitcs-2763	121	76	%	%	NOUN
bitcs-2763	121	77	,	,	PUNCT
bitcs-2763	121	78	an	an	DET
bitcs-2763	121	79	average	average	ADJ
bitcs-2763	121	80	true	true	ADJ
bitcs-2763	121	81	negative	negative	ADJ
bitcs-2763	121	82	rate	rate	NOUN
bitcs-2763	121	83	of	of	ADP
bitcs-2763	121	84	40	40	NUM
bitcs-2763	121	85	%	%	NOUN
bitcs-2763	121	86	,	,	PUNCT
bitcs-2763	121	87	and	and	CCONJ
bitcs-2763	121	88	an	an	DET
bitcs-2763	121	89	average	average	ADJ
bitcs-2763	121	90	accuracy	accuracy	NOUN
bitcs-2763	121	91	of	of	ADP
bitcs-2763	121	92	50	50	NUM
bitcs-2763	121	93	%	%	NOUN
bitcs-2763	121	94	.	.	PUNCT
bitcs-2763	122	1	table	table	NOUN
bitcs-2763	122	2	6	6	NUM
bitcs-2763	122	3	.	.	PUNCT
bitcs-2763	123	1	signature	signature	NOUN
bitcs-2763	123	2	testing	testing	NOUN
bitcs-2763	123	3	method	method	NOUN
bitcs-2763	123	4	average	average	ADJ
bitcs-2763	123	5	precision	precision	NOUN
bitcs-2763	123	6	(	(	PUNCT
bitcs-2763	123	7	%	%	INTJ
bitcs-2763	123	8	)	)	PUNCT
bitcs-2763	123	9	recall	recall	NOUN
bitcs-2763	123	10	average	average	ADJ
bitcs-2763	123	11	(	(	PUNCT
bitcs-2763	123	12	%	%	INTJ
bitcs-2763	123	13	)	)	PUNCT
bitcs-2763	123	14	average	average	ADJ
bitcs-2763	123	15	true	true	ADJ
bitcs-2763	123	16	negative	negative	ADJ
bitcs-2763	123	17	(	(	PUNCT
bitcs-2763	123	18	%	%	NOUN
bitcs-2763	123	19	)	)	PUNCT
bitcs-2763	123	20	average	average	ADJ
bitcs-2763	123	21	accuracy	accuracy	NOUN
bitcs-2763	123	22	(	(	PUNCT
bitcs-2763	123	23	%	%	INTJ
bitcs-2763	123	24	)	)	PUNCT
bitcs-2763	123	25	euclidean	euclidean	NOUN
bitcs-2763	123	26	k	k	NOUN
bitcs-2763	124	1	=	=	SYM
bitcs-2763	124	2	1	1	NUM
bitcs-2763	124	3	40	40	NUM
bitcs-2763	124	4	68	68	NUM
bitcs-2763	124	5	40	40	NUM
bitcs-2763	124	6	54	54	NUM
bitcs-2763	124	7	euclidean	euclidean	ADJ
bitcs-2763	124	8	k	k	NOUN
bitcs-2763	124	9	=	=	SYM
bitcs-2763	124	10	3	3	NUM
bitcs-2763	124	11	40	40	NUM
bitcs-2763	124	12	56	56	NUM
bitcs-2763	124	13	46	46	NUM
bitcs-2763	124	14	51	51	NUM
bitcs-2763	124	15	euclidean	euclidean	NOUN
bitcs-2763	124	16	k	k	NOUN
bitcs-2763	125	1	=	=	SYM
bitcs-2763	126	1	5	5	NUM
bitcs-2763	126	2	31.66	31.66	NUM
bitcs-2763	126	3	54	54	NUM
bitcs-2763	126	4	48	48	NUM
bitcs-2763	126	5	51	51	NUM
bitcs-2763	126	6	manhattan	manhattan	PROPN
bitcs-2763	126	7	k	k	PROPN
bitcs-2763	127	1	=	=	SYM
bitcs-2763	127	2	1	1	NUM
bitcs-2763	127	3	30	30	NUM
bitcs-2763	127	4	60	60	NUM
bitcs-2763	127	5	40	40	NUM
bitcs-2763	127	6	50	50	NUM
bitcs-2763	127	7	from	from	ADP
bitcs-2763	127	8	the	the	DET
bitcs-2763	127	9	results	result	NOUN
bitcs-2763	127	10	of	of	ADP
bitcs-2763	127	11	tests	test	NOUN
bitcs-2763	127	12	carried	carry	VERB
bitcs-2763	127	13	out	out	ADP
bitcs-2763	127	14	in	in	ADP
bitcs-2763	127	15	table	table	NOUN
bitcs-2763	127	16	6	6	NUM
bitcs-2763	127	17	,	,	PUNCT
bitcs-2763	127	18	it	it	PRON
bitcs-2763	127	19	is	be	AUX
bitcs-2763	127	20	known	know	VERB
bitcs-2763	127	21	that	that	SCONJ
bitcs-2763	127	22	the	the	DET
bitcs-2763	127	23	k	k	X
bitcs-2763	127	24	=	=	SYM
bitcs-2763	127	25	1	1	NUM
bitcs-2763	127	26	value	value	NOUN
bitcs-2763	127	27	of	of	ADP
bitcs-2763	127	28	the	the	DET
bitcs-2763	127	29	euclidean	euclidean	ADJ
bitcs-2763	127	30	distance	distance	NOUN
bitcs-2763	127	31	calculation	calculation	NOUN
bitcs-2763	127	32	is	be	AUX
bitcs-2763	127	33	the	the	DET
bitcs-2763	127	34	best	good	ADJ
bitcs-2763	127	35	with	with	ADP
bitcs-2763	127	36	an	an	DET
bitcs-2763	127	37	accuracy	accuracy	NOUN
bitcs-2763	127	38	of	of	ADP
bitcs-2763	127	39	54	54	NUM
bitcs-2763	127	40	%	%	NOUN
bitcs-2763	127	41	.	.	PUNCT
bitcs-2763	128	1	however	however	ADV
bitcs-2763	128	2	,	,	PUNCT
bitcs-2763	128	3	the	the	DET
bitcs-2763	128	4	value	value	NOUN
bitcs-2763	128	5	of	of	ADP
bitcs-2763	128	6	k	k	PROPN
bitcs-2763	128	7	=	=	SYM
bitcs-2763	128	8	1	1	NUM
bitcs-2763	128	9	is	be	AUX
bitcs-2763	128	10	prone	prone	ADJ
bitcs-2763	128	11	to	to	ADP
bitcs-2763	128	12	noise	noise	NOUN
bitcs-2763	128	13	.	.	PUNCT
bitcs-2763	129	1	with	with	ADP
bitcs-2763	129	2	a	a	DET
bitcs-2763	129	3	value	value	NOUN
bitcs-2763	129	4	of	of	ADP
bitcs-2763	129	5	k	k	NOUN
bitcs-2763	129	6	=	=	SYM
bitcs-2763	129	7	1	1	NUM
bitcs-2763	129	8	,	,	PUNCT
bitcs-2763	129	9	if	if	SCONJ
bitcs-2763	129	10	the	the	DET
bitcs-2763	129	11	distance	distance	NOUN
bitcs-2763	129	12	to	to	ADP
bitcs-2763	129	13	the	the	DET
bitcs-2763	129	14	noise	noise	NOUN
bitcs-2763	129	15	image	image	NOUN
bitcs-2763	129	16	is	be	AUX
bitcs-2763	129	17	the	the	DET
bitcs-2763	129	18	smallest	small	ADJ
bitcs-2763	129	19	,	,	PUNCT
bitcs-2763	129	20	then	then	ADV
bitcs-2763	129	21	the	the	DET
bitcs-2763	129	22	image	image	NOUN
bitcs-2763	129	23	that	that	PRON
bitcs-2763	129	24	is	be	AUX
bitcs-2763	129	25	verified	verify	VERB
bitcs-2763	129	26	will	will	AUX
bitcs-2763	129	27	be	be	AUX
bitcs-2763	129	28	considered	consider	VERB
bitcs-2763	129	29	the	the	DET
bitcs-2763	129	30	same	same	ADJ
bitcs-2763	129	31	type	type	NOUN
bitcs-2763	129	32	of	of	ADP
bitcs-2763	129	33	image	image	NOUN
bitcs-2763	129	34	as	as	ADP
bitcs-2763	129	35	the	the	DET
bitcs-2763	129	36	noise	noise	NOUN
bitcs-2763	129	37	image	image	NOUN
bitcs-2763	129	38	.	.	PUNCT
bitcs-2763	130	1	this	this	PRON
bitcs-2763	130	2	is	be	AUX
bitcs-2763	130	3	indicated	indicate	VERB
bitcs-2763	130	4	by	by	ADP
bitcs-2763	130	5	the	the	DET
bitcs-2763	130	6	smallest	small	ADJ
bitcs-2763	130	7	true	true	ADJ
bitcs-2763	130	8	negative	negative	ADJ
bitcs-2763	130	9	rate	rate	NOUN
bitcs-2763	130	10	with	with	ADP
bitcs-2763	130	11	a	a	DET
bitcs-2763	130	12	value	value	NOUN
bitcs-2763	130	13	of	of	ADP
bitcs-2763	130	14	40	40	NUM
bitcs-2763	130	15	%	%	NOUN
bitcs-2763	130	16	(	(	PUNCT
bitcs-2763	130	17	equal	equal	ADJ
bitcs-2763	130	18	to	to	ADP
bitcs-2763	130	19	k	k	PROPN
bitcs-2763	130	20	=	=	SYM
bitcs-2763	130	21	1	1	NUM
bitcs-2763	130	22	manhattan	manhattan	PROPN
bitcs-2763	130	23	distance	distance	NOUN
bitcs-2763	130	24	calculation	calculation	NOUN
bitcs-2763	130	25	)	)	PUNCT
bitcs-2763	130	26	.	.	PUNCT
bitcs-2763	131	1	a	a	DET
bitcs-2763	131	2	small	small	ADJ
bitcs-2763	131	3	true	true	ADJ
bitcs-2763	131	4	negative	negative	ADJ
bitcs-2763	131	5	rate	rate	NOUN
bitcs-2763	131	6	indicates	indicate	VERB
bitcs-2763	131	7	the	the	DET
bitcs-2763	131	8	system	system	NOUN
bitcs-2763	131	9	has	have	AUX
bitcs-2763	131	10	probably	probably	ADV
bitcs-2763	131	11	made	make	VERB
bitcs-2763	131	12	a	a	DET
bitcs-2763	131	13	mistake	mistake	NOUN
bitcs-2763	131	14	by	by	ADP
bitcs-2763	131	15	accepting	accept	VERB
bitcs-2763	131	16	a	a	DET
bitcs-2763	131	17	fake	fake	ADJ
bitcs-2763	131	18	signature	signature	NOUN
bitcs-2763	131	19	as	as	SCONJ
bitcs-2763	131	20	the	the	DET
bitcs-2763	131	21	original	original	ADJ
bitcs-2763	131	22	signature	signature	NOUN
bitcs-2763	131	23	is	be	AUX
bitcs-2763	131	24	large	large	ADJ
bitcs-2763	131	25	enough	enough	ADV
bitcs-2763	131	26	.	.	PUNCT
bitcs-2763	132	1	the	the	DET
bitcs-2763	132	2	value	value	NOUN
bitcs-2763	132	3	of	of	ADP
bitcs-2763	132	4	true	true	ADJ
bitcs-2763	132	5	negative	negative	ADJ
bitcs-2763	132	6	rate	rate	NOUN
bitcs-2763	132	7	depends	depend	VERB
bitcs-2763	132	8	on	on	ADP
bitcs-2763	132	9	the	the	DET
bitcs-2763	132	10	similarity	similarity	NOUN
bitcs-2763	132	11	of	of	ADP
bitcs-2763	132	12	the	the	DET
bitcs-2763	132	13	fake	fake	ADJ
bitcs-2763	132	14	signature	signature	NOUN
bitcs-2763	132	15	and	and	CCONJ
bitcs-2763	132	16	image	image	NOUN
bitcs-2763	132	17	noise	noise	NOUN
bitcs-2763	132	18	in	in	ADP
bitcs-2763	132	19	the	the	DET
bitcs-2763	132	20	sample	sample	NOUN
bitcs-2763	132	21	image	image	NOUN
bitcs-2763	132	22	.	.	PUNCT
bitcs-2763	133	1	the	the	PRON
bitcs-2763	133	2	greater	great	ADJ
bitcs-2763	133	3	the	the	DET
bitcs-2763	133	4	similarity	similarity	NOUN
bitcs-2763	133	5	of	of	ADP
bitcs-2763	133	6	fake	fake	ADJ
bitcs-2763	133	7	signature	signature	NOUN
bitcs-2763	133	8	and	and	CCONJ
bitcs-2763	133	9	image	image	NOUN
bitcs-2763	133	10	noise	noise	NOUN
bitcs-2763	133	11	in	in	ADP
bitcs-2763	133	12	the	the	DET
bitcs-2763	133	13	sample	sample	NOUN
bitcs-2763	133	14	image	image	NOUN
bitcs-2763	133	15	,	,	PUNCT
bitcs-2763	133	16	from	from	ADP
bitcs-2763	133	17	the	the	DET
bitcs-2763	133	18	above	above	ADJ
bitcs-2763	133	19	test	test	NOUN
bitcs-2763	133	20	,	,	PUNCT
bitcs-2763	133	21	it	it	PRON
bitcs-2763	133	22	can	can	AUX
bitcs-2763	133	23	be	be	AUX
bitcs-2763	133	24	seen	see	VERB
bitcs-2763	133	25	that	that	SCONJ
bitcs-2763	133	26	the	the	DET
bitcs-2763	133	27	euclidean	euclidean	ADJ
bitcs-2763	133	28	distance	distance	NOUN
bitcs-2763	133	29	calculation	calculation	NOUN
bitcs-2763	133	30	is	be	AUX
bitcs-2763	133	31	better	well	ADJ
bitcs-2763	133	32	than	than	ADP
bitcs-2763	133	33	manhattan	manhattan	PROPN
bitcs-2763	133	34	distance	distance	NOUN
bitcs-2763	133	35	.	.	PUNCT
bitcs-2763	134	1	this	this	PRON
bitcs-2763	134	2	can	can	AUX
bitcs-2763	134	3	be	be	AUX
bitcs-2763	134	4	seen	see	VERB
bitcs-2763	134	5	from	from	ADP
bitcs-2763	134	6	the	the	DET
bitcs-2763	134	7	greater	great	ADJ
bitcs-2763	134	8	precision	precision	NOUN
bitcs-2763	134	9	,	,	PUNCT
bitcs-2763	134	10	recall	recall	NOUN
bitcs-2763	134	11	,	,	PUNCT
bitcs-2763	134	12	and	and	CCONJ
bitcs-2763	134	13	accuracy	accuracy	NOUN
bitcs-2763	134	14	euclidean	euclidean	ADJ
bitcs-2763	134	15	distance	distance	NOUN
bitcs-2763	134	16	values	value	NOUN
bitcs-2763	134	17	compared	compare	VERB
bitcs-2763	134	18	to	to	ADP
bitcs-2763	134	19	manhattan	manhattan	PROPN
bitcs-2763	134	20	distance	distance	NOUN
bitcs-2763	134	21	.	.	PUNCT
bitcs-2763	135	1	iv	iv	X
bitcs-2763	135	2	.	.	PUNCT
bitcs-2763	136	1	conclusion	conclusion	NOUN
bitcs-2763	136	2	signature	signature	NOUN
bitcs-2763	136	3	verification	verification	NOUN
bitcs-2763	136	4	can	can	AUX
bitcs-2763	136	5	be	be	AUX
bitcs-2763	136	6	done	do	VERB
bitcs-2763	136	7	to	to	PART
bitcs-2763	136	8	determine	determine	VERB
bitcs-2763	136	9	the	the	DET
bitcs-2763	136	10	authenticity	authenticity	NOUN
bitcs-2763	136	11	of	of	ADP
bitcs-2763	136	12	the	the	DET
bitcs-2763	136	13	signature	signature	NOUN
bitcs-2763	136	14	.	.	PUNCT
bitcs-2763	137	1	signature	signature	NOUN
bitcs-2763	137	2	verification	verification	NOUN
bitcs-2763	137	3	is	be	AUX
bitcs-2763	137	4	done	do	VERB
bitcs-2763	137	5	based	base	VERB
bitcs-2763	137	6	on	on	ADP
bitcs-2763	137	7	the	the	DET
bitcs-2763	137	8	angle	angle	NOUN
bitcs-2763	137	9	found	find	VERB
bitcs-2763	137	10	and	and	CCONJ
bitcs-2763	137	11	then	then	ADV
bitcs-2763	137	12	applies	apply	VERB
bitcs-2763	137	13	the	the	DET
bitcs-2763	137	14	knearest	knearest	NOUN
bitcs-2763	137	15	neighbour	neighbour	ADJ
bitcs-2763	137	16	algorithm	algorithm	NOUN
bitcs-2763	137	17	.	.	PUNCT
bitcs-2763	138	1	the	the	DET
bitcs-2763	138	2	small	small	ADJ
bitcs-2763	138	3	k	k	PROPN
bitcs-2763	138	4	value	value	NOUN
bitcs-2763	138	5	in	in	ADP
bitcs-2763	138	6	the	the	DET
bitcs-2763	138	7	k	k	NOUN
bitcs-2763	138	8	-	-	PUNCT
bitcs-2763	138	9	nearest	near	ADJ
bitcs-2763	138	10	neighbour	neighbour	ADJ
bitcs-2763	138	11	algorithm	algorithm	NOUN
bitcs-2763	138	12	has	have	VERB
bitcs-2763	138	13	a	a	DET
bitcs-2763	138	14	tendency	tendency	NOUN
bitcs-2763	138	15	to	to	PART
bitcs-2763	138	16	accept	accept	VERB
bitcs-2763	138	17	the	the	DET
bitcs-2763	138	18	fake	fake	ADJ
bitcs-2763	138	19	signature	signature	NOUN
bitcs-2763	138	20	image	image	NOUN
bitcs-2763	138	21	as	as	SCONJ
bitcs-2763	138	22	the	the	DET
bitcs-2763	138	23	original	original	ADJ
bitcs-2763	138	24	signature	signature	NOUN
bitcs-2763	138	25	image	image	NOUN
bitcs-2763	138	26	is	be	AUX
bitcs-2763	138	27	greater	great	ADJ
bitcs-2763	138	28	than	than	ADP
bitcs-2763	138	29	the	the	DET
bitcs-2763	138	30	larger	large	ADJ
bitcs-2763	138	31	k	k	PROPN
bitcs-2763	138	32	value	value	NOUN
bitcs-2763	138	33	.	.	PUNCT
bitcs-2763	139	1	euclidean	euclidean	ADJ
bitcs-2763	139	2	distance	distance	NOUN
bitcs-2763	139	3	calculation	calculation	NOUN
bitcs-2763	139	4	is	be	AUX
bitcs-2763	139	5	better	well	ADV
bitcs-2763	139	6	used	use	VERB
bitcs-2763	139	7	for	for	ADP
bitcs-2763	139	8	signature	signature	NOUN
bitcs-2763	139	9	verification	verification	NOUN
bitcs-2763	139	10	than	than	ADP
bitcs-2763	139	11	manhattan	manhattan	PROPN
bitcs-2763	139	12	distance	distance	NOUN
bitcs-2763	139	13	calculation	calculation	NOUN
bitcs-2763	139	14	.	.	PUNCT
bitcs-2763	140	1	at	at	ADP
bitcs-2763	140	2	k	k	PROPN
bitcs-2763	140	3	=	=	SYM
bitcs-2763	140	4	1	1	NUM
bitcs-2763	140	5	,	,	PUNCT
bitcs-2763	140	6	the	the	DET
bitcs-2763	140	7	accuracy	accuracy	NOUN
bitcs-2763	140	8	of	of	ADP
bitcs-2763	140	9	the	the	DET
bitcs-2763	140	10	euclidean	euclidean	ADJ
bitcs-2763	140	11	distance	distance	NOUN
bitcs-2763	140	12	is	be	AUX
bitcs-2763	140	13	54	54	NUM
bitcs-2763	140	14	%	%	NOUN
bitcs-2763	140	15	while	while	SCONJ
bitcs-2763	140	16	the	the	DET
bitcs-2763	140	17	manhattan	manhattan	PROPN
bitcs-2763	140	18	distance	distance	NOUN
bitcs-2763	140	19	is	be	AUX
bitcs-2763	140	20	50	50	NUM
bitcs-2763	140	21	%	%	NOUN
bitcs-2763	140	22	.	.	PUNCT
bitcs-2763	141	1	v.	v.	ADP
bitcs-2763	141	2	suggestion	suggestion	NOUN
bitcs-2763	141	3	as	as	ADP
bitcs-2763	141	4	for	for	ADP
bitcs-2763	141	5	suggestions	suggestion	NOUN
bitcs-2763	141	6	that	that	PRON
bitcs-2763	141	7	are	be	AUX
bitcs-2763	141	8	useful	useful	ADJ
bitcs-2763	141	9	for	for	ADP
bitcs-2763	141	10	further	further	ADJ
bitcs-2763	141	11	research	research	NOUN
bitcs-2763	141	12	,	,	PUNCT
bitcs-2763	141	13	namely	namely	ADV
bitcs-2763	141	14	:	:	PUNCT
bitcs-2763	141	15	1	1	X
bitcs-2763	141	16	.	.	X
bitcs-2763	141	17	further	further	ADJ
bitcs-2763	141	18	research	research	NOUN
bitcs-2763	141	19	can	can	AUX
bitcs-2763	141	20	take	take	VERB
bitcs-2763	141	21	a	a	DET
bitcs-2763	141	22	signature	signature	NOUN
bitcs-2763	141	23	image	image	NOUN
bitcs-2763	141	24	using	use	VERB
bitcs-2763	141	25	a	a	DET
bitcs-2763	141	26	pen	pen	NOUN
bitcs-2763	141	27	tablet	tablet	NOUN
bitcs-2763	141	28	to	to	PART
bitcs-2763	141	29	reduce	reduce	VERB
bitcs-2763	141	30	noise	noise	NOUN
bitcs-2763	141	31	in	in	ADP
bitcs-2763	141	32	the	the	DET
bitcs-2763	141	33	signature	signature	NOUN
bitcs-2763	141	34	image	image	NOUN
bitcs-2763	141	35	.	.	PUNCT
bitcs-2763	142	1	2	2	X
bitcs-2763	142	2	.	.	X
bitcs-2763	142	3	future	future	ADJ
bitcs-2763	142	4	research	research	NOUN
bitcs-2763	142	5	can	can	AUX
bitcs-2763	142	6	reproduce	reproduce	VERB
bitcs-2763	142	7	the	the	DET
bitcs-2763	142	8	signature	signature	NOUN
bitcs-2763	142	9	image	image	NOUN
bitcs-2763	142	10	that	that	PRON
bitcs-2763	142	11	will	will	AUX
bitcs-2763	142	12	be	be	AUX
bitcs-2763	142	13	used	use	VERB
bitcs-2763	142	14	as	as	ADP
bitcs-2763	142	15	an	an	DET
bitcs-2763	142	16	example	example	NOUN
bitcs-2763	142	17	.	.	PUNCT
bitcs-2763	143	1	3	3	X
bitcs-2763	143	2	.	.	X
bitcs-2763	143	3	signature	signature	NOUN
bitcs-2763	143	4	verification	verification	NOUN
bitcs-2763	143	5	can	can	AUX
bitcs-2763	143	6	be	be	AUX
bitcs-2763	143	7	done	do	VERB
bitcs-2763	143	8	using	use	VERB
bitcs-2763	143	9	other	other	ADJ
bitcs-2763	143	10	algorithms	algorithm	NOUN
bitcs-2763	143	11	.	.	PUNCT
bitcs-2763	144	1	a.	a.	NOUN
bitcs-2763	144	2	references	references	PROPN
bitcs-2763	144	3	b.	b.	PROPN
bitcs-2763	145	1	[	[	X
bitcs-2763	145	2	1	1	NUM
bitcs-2763	145	3	]	]	X
bitcs-2763	145	4	c.	c.	PROPN
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bitcs-2763	145	6	,	,	PUNCT
bitcs-2763	145	7	"	"	PUNCT
bitcs-2763	145	8	signature	signature	NOUN
bitcs-2763	145	9	recognition	recognition	NOUN
bitcs-2763	145	10	and	and	CCONJ
bitcs-2763	145	11	verification	verification	NOUN
bitcs-2763	145	12	with	with	ADP
bitcs-2763	145	13	artificial	artificial	ADJ
bitcs-2763	145	14	neural	neural	ADJ
bitcs-2763	145	15	network	network	NOUN
bitcs-2763	145	16	using	use	VERB
bitcs-2763	145	17	moment	moment	NOUN
bitcs-2763	145	18	invariant	invariant	ADJ
bitcs-2763	145	19	method	method	NOUN
bitcs-2763	145	20	,	,	PUNCT
bitcs-2763	145	21	"	"	PUNCT
bitcs-2763	145	22	in	in	ADP
bitcs-2763	145	23	international	international	ADJ
bitcs-2763	145	24	symposium	symposium	NOUN
bitcs-2763	145	25	on	on	ADP
bitcs-2763	145	26	neural	neural	ADJ
bitcs-2763	145	27	networks	network	NOUN
bitcs-2763	145	28	,	,	PUNCT
bitcs-2763	145	29	china	china	PROPN
bitcs-2763	145	30	,	,	PUNCT
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bitcs-2763	145	32	.	.	PUNCT
bitcs-2763	146	1	[	[	X
bitcs-2763	146	2	2	2	NUM
bitcs-2763	146	3	]	]	PUNCT
bitcs-2763	146	4	m.	m.	NOUN
bitcs-2763	146	5	m.	m.	NOUN
bitcs-2763	146	6	fahmy	fahmy	PROPN
bitcs-2763	146	7	,	,	PUNCT
bitcs-2763	146	8	"	"	PUNCT
bitcs-2763	146	9	online	online	ADJ
bitcs-2763	146	10	handwritten	handwritten	ADJ
bitcs-2763	146	11	signature	signature	NOUN
bitcs-2763	146	12	verification	verification	NOUN
bitcs-2763	146	13	system	system	NOUN
bitcs-2763	146	14	based	base	VERB
bitcs-2763	146	15	on	on	ADP
bitcs-2763	146	16	dwt	dwt	PROPN
bitcs-2763	146	17	features	feature	NOUN
bitcs-2763	146	18	extraction	extraction	NOUN
bitcs-2763	146	19	and	and	CCONJ
bitcs-2763	146	20	neural	neural	ADJ
bitcs-2763	146	21	network	network	NOUN
bitcs-2763	146	22	classification	classification	NOUN
bitcs-2763	146	23	,	,	PUNCT
bitcs-2763	146	24	"	"	PUNCT
bitcs-2763	146	25	ain	ain	PROPN
bitcs-2763	146	26	shams	sham	NOUN
bitcs-2763	146	27	engineering	engineering	NOUN
bitcs-2763	146	28	journal	journal	NOUN
bitcs-2763	146	29	,	,	PUNCT
bitcs-2763	146	30	vol	vol	NOUN
bitcs-2763	146	31	.	.	PROPN
bitcs-2763	146	32	1	1	NUM
bitcs-2763	146	33	,	,	PUNCT
bitcs-2763	146	34	p.	p.	NOUN
bitcs-2763	146	35	59	59	NUM
bitcs-2763	146	36	–	–	PUNCT
bitcs-2763	146	37	70	70	NUM
bitcs-2763	146	38	,	,	PUNCT
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bitcs-2763	146	40	.	.	PUNCT
bitcs-2763	147	1	[	[	X
bitcs-2763	147	2	3	3	X
bitcs-2763	147	3	]	]	X
bitcs-2763	147	4	y.	y.	PROPN
bitcs-2763	147	5	s.	s.	PROPN
bitcs-2763	147	6	r.	r.	PROPN
bitcs-2763	147	7	d.	d.	PROPN
bitcs-2763	147	8	p.	p.	PROPN
bitcs-2763	147	9	b.	b.	PROPN
bitcs-2763	148	1	banshider	banshider	PROPN
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bitcs-2763	148	4	"	"	PUNCT
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bitcs-2763	148	8	off	off	ADP
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bitcs-2763	148	10	line	line	NOUN
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bitcs-2763	148	14	"	"	PUNCT
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bitcs-2763	148	16	journal	journal	NOUN
bitcs-2763	148	17	of	of	ADP
bitcs-2763	148	18	computers	computer	NOUN
bitcs-2763	148	19	,	,	PUNCT
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bitcs-2763	148	22	control	control	PROPN
bitcs-2763	148	23	(	(	PUNCT
bitcs-2763	148	24	ijccc	ijccc	PROPN
bitcs-2763	148	25	)	)	PUNCT
bitcs-2763	148	26	,	,	PUNCT
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bitcs-2763	148	29	1	1	NUM
bitcs-2763	148	30	,	,	PUNCT
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bitcs-2763	149	1	17	17	NUM
bitcs-2763	149	2	-	-	SYM
bitcs-2763	149	3	24	24	NUM
bitcs-2763	149	4	,	,	PUNCT
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bitcs-2763	149	6	.	.	PUNCT
bitcs-2763	150	1	[	[	X
bitcs-2763	150	2	4	4	X
bitcs-2763	150	3	]	]	PUNCT
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bitcs-2763	150	5	r.	r.	PROPN
bitcs-2763	150	6	p.	p.	PROPN
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bitcs-2763	150	8	r.	r.	PROPN
bitcs-2763	150	9	p.	p.	PROPN
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bitcs-2763	150	13	sigari	sigari	ADJ
bitcs-2763	150	14	,	,	PUNCT
bitcs-2763	150	15	"	"	PUNCT
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bitcs-2763	150	17	handwritten	handwritten	ADJ
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bitcs-2763	150	19	identification	identification	NOUN
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bitcs-2763	150	24	-	-	ADJ
bitcs-2763	150	25	resolution	resolution	ADJ
bitcs-2763	150	26	gabor	gabor	PROPN
bitcs-2763	150	27	wavelet	wavelet	NOUN
bitcs-2763	150	28	,	,	PUNCT
bitcs-2763	150	29	"	"	PUNCT
bitcs-2763	150	30	ciit	ciit	PROPN
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bitcs-2763	150	32	journal	journal	PROPN
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bitcs-2763	150	35	and	and	CCONJ
bitcs-2763	150	36	bioinformatics	bioinformatics	NOUN
bitcs-2763	150	37	,	,	PUNCT
bitcs-2763	150	38	vol	vol	NOUN
bitcs-2763	150	39	.	.	PROPN
bitcs-2763	150	40	5	5	NUM
bitcs-2763	150	41	,	,	PUNCT
bitcs-2763	150	42	pp	pp	ADJ
bitcs-2763	150	43	.	.	PUNCT
bitcs-2763	150	44	234248	234248	NUM
bitcs-2763	150	45	,	,	PUNCT
bitcs-2763	150	46	2011	2011	NUM
bitcs-2763	150	47	.	.	PUNCT
bitcs-2763	151	1	[	[	X
bitcs-2763	151	2	5	5	X
bitcs-2763	151	3	]	]	PUNCT
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bitcs-2763	151	6	r.	r.	PROPN
bitcs-2763	151	7	t.	t.	PROPN
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bitcs-2763	151	9	d.	d.	PROPN
bitcs-2763	151	10	a.	a.	PROPN
bitcs-2763	151	11	s.	s.	PROPN
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bitcs-2763	151	15	,	,	PUNCT
bitcs-2763	151	16	"	"	PUNCT
bitcs-2763	151	17	an	an	DET
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bitcs-2763	151	19	offline	offline	ADJ
bitcs-2763	151	20	signature	signature	NOUN
bitcs-2763	151	21	identification	identification	NOUN
bitcs-2763	151	22	method	method	NOUN
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bitcs-2763	151	24	on	on	ADP
bitcs-2763	151	25	fourier	fourier	ADJ
bitcs-2763	151	26	descriptor	descriptor	NOUN
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bitcs-2763	151	28	chain	chain	NOUN
bitcs-2763	151	29	codes	code	NOUN
bitcs-2763	151	30	,	,	PUNCT
bitcs-2763	151	31	"	"	PUNCT
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bitcs-2763	151	33	journal	journal	NOUN
bitcs-2763	151	34	of	of	ADP
bitcs-2763	151	35	biomedical	biomedical	ADJ
bitcs-2763	151	36	engineering	engineering	NOUN
bitcs-2763	151	37	and	and	CCONJ
bitcs-2763	151	38	technology	technology	NOUN
bitcs-2763	151	39	,	,	PUNCT
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bitcs-2763	151	42	5	5	NUM
bitcs-2763	151	43	,	,	PUNCT
bitcs-2763	151	44	pp	pp	ADJ
bitcs-2763	151	45	.	.	PUNCT
bitcs-2763	152	1	1	1	NUM
bitcs-2763	152	2	-	-	SYM
bitcs-2763	152	3	10	10	NUM
bitcs-2763	152	4	,	,	PUNCT
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bitcs-2763	152	6	.	.	PUNCT
bitcs-2763	153	1	40	40	NUM
bitcs-2763	153	2	|	|	ADV
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bitcs-2763	153	6	july	july	PROPN
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bitcs-2763	154	1	[	[	X
bitcs-2763	154	2	6	6	NUM
bitcs-2763	154	3	]	]	PUNCT
bitcs-2763	154	4	p.	p.	NOUN
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bitcs-2763	154	6	s.	s.	PROPN
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bitcs-2763	154	8	.	.	PROPN
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bitcs-2763	154	10	,	,	PUNCT
bitcs-2763	154	11	"	"	PUNCT
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bitcs-2763	154	17	off	off	ADP
bitcs-2763	154	18	-	-	PUNCT
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bitcs-2763	154	20	signature	signature	NOUN
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bitcs-2763	154	22	system	system	NOUN
bitcs-2763	154	23	,	,	PUNCT
bitcs-2763	154	24	"	"	PUNCT
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bitcs-2763	154	27	of	of	ADP
bitcs-2763	154	28	engineering	engineering	NOUN
bitcs-2763	154	29	science	science	NOUN
bitcs-2763	154	30	and	and	CCONJ
bitcs-2763	154	31	technology	technology	NOUN
bitcs-2763	154	32	,	,	PUNCT
bitcs-2763	154	33	vol	vol	NOUN
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bitcs-2763	154	36	,	,	PUNCT
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bitcs-2763	154	38	.	.	PUNCT
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bitcs-2763	155	2	-	-	SYM
bitcs-2763	155	3	3143	3143	NUM
bitcs-2763	155	4	,	,	PUNCT
bitcs-2763	155	5	2010	2010	NUM
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bitcs-2763	156	2	7	7	X
bitcs-2763	156	3	]	]	PUNCT
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bitcs-2763	156	5	k.	k.	PROPN
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bitcs-2763	156	9	"	"	PUNCT
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bitcs-2763	156	11	medical	medical	ADJ
bitcs-2763	156	12	image	image	NOUN
bitcs-2763	156	13	classification	classification	NOUN
bitcs-2763	156	14	and	and	CCONJ
bitcs-2763	156	15	abnormality	abnormality	NOUN
bitcs-2763	156	16	detection	detection	NOUN
bitcs-2763	156	17	using	use	VERB
bitcs-2763	156	18	k	k	PROPN
bitcs-2763	156	19	-	-	PUNCT
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bitcs-2763	156	21	neighbour	neighbour	NOUN
bitcs-2763	156	22	,	,	PUNCT
bitcs-2763	156	23	"	"	PUNCT
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bitcs-2763	156	25	journal	journal	NOUN
bitcs-2763	156	26	of	of	ADP
bitcs-2763	156	27	advanced	advanced	ADJ
bitcs-2763	156	28	computer	computer	NOUN
bitcs-2763	156	29	research	research	NOUN
bitcs-2763	156	30	,	,	PUNCT
bitcs-2763	156	31	vol	vol	NOUN
bitcs-2763	156	32	.	.	PROPN
bitcs-2763	156	33	2	2	NUM
bitcs-2763	156	34	,	,	PUNCT
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bitcs-2763	156	36	.	.	PUNCT
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bitcs-2763	157	2	-	-	SYM
bitcs-2763	157	3	196	196	NUM
bitcs-2763	157	4	,	,	PUNCT
bitcs-2763	157	5	2012	2012	NUM
bitcs-2763	157	6	.	.	PUNCT
bitcs-2763	158	1	[	[	X
bitcs-2763	158	2	8	8	NUM
bitcs-2763	158	3	]	]	X
bitcs-2763	158	4	r.	r.	PROPN
bitcs-2763	158	5	d.	d.	PROPN
bitcs-2763	158	6	g.	g.	PROPN
bitcs-2763	158	7	s.	s.	PROPN
bitcs-2763	158	8	jyoti	jyoti	PROPN
bitcs-2763	158	9	malik	malik	PROPN
bitcs-2763	158	10	,	,	PUNCT
bitcs-2763	158	11	"	"	PUNCT
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bitcs-2763	158	13	operator	operator	NOUN
bitcs-2763	158	14	corner	corner	NOUN
bitcs-2763	158	15	detection	detection	NOUN
bitcs-2763	158	16	using	use	VERB
bitcs-2763	158	17	sliding	slide	VERB
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bitcs-2763	158	19	method	method	NOUN
bitcs-2763	158	20	,	,	PUNCT
bitcs-2763	158	21	"	"	PUNCT
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bitcs-2763	158	23	journal	journal	NOUN
bitcs-2763	158	24	of	of	ADP
bitcs-2763	158	25	computer	computer	NOUN
bitcs-2763	158	26	applications	application	NOUN
bitcs-2763	158	27	,	,	PUNCT
bitcs-2763	158	28	vol	vol	NOUN
bitcs-2763	158	29	.	.	PROPN
bitcs-2763	158	30	22	22	NUM
bitcs-2763	158	31	,	,	PUNCT
bitcs-2763	158	32	2011	2011	NUM
bitcs-2763	158	33	.	.	PUNCT
bitcs-2763	159	1	[	[	X
bitcs-2763	159	2	9	9	NUM
bitcs-2763	159	3	]	]	PUNCT
bitcs-2763	159	4	a.	a.	NOUN
bitcs-2763	159	5	kadir	kadir	PROPN
bitcs-2763	159	6	,	,	PUNCT
bitcs-2763	159	7	image	image	NOUN
bitcs-2763	159	8	processing	processing	NOUN
bitcs-2763	159	9	theory	theory	NOUN
bitcs-2763	159	10	and	and	CCONJ
bitcs-2763	159	11	application	application	NOUN
bitcs-2763	159	12	,	,	PUNCT
bitcs-2763	159	13	yogyakarta	yogyakarta	PROPN
bitcs-2763	159	14	:	:	PUNCT
bitcs-2763	159	15	andi	andi	PROPN
bitcs-2763	159	16	offset	offset	PROPN
bitcs-2763	159	17	,	,	PUNCT
bitcs-2763	159	18	2013	2013	NUM
bitcs-2763	159	19	.	.	PUNCT
bitcs-2763	160	1	[	[	X
bitcs-2763	160	2	10	10	NUM
bitcs-2763	160	3	]	]	PUNCT
bitcs-2763	160	4	s.	s.	PROPN
bitcs-2763	160	5	j.	j.	PROPN
bitcs-2763	160	6	prince	prince	PROPN
bitcs-2763	160	7	,	,	PUNCT
bitcs-2763	160	8	computer	computer	NOUN
bitcs-2763	160	9	vision	vision	NOUN
bitcs-2763	160	10	:	:	PUNCT
bitcs-2763	160	11	models	model	NOUN
bitcs-2763	160	12	,	,	PUNCT
bitcs-2763	160	13	learning	learning	NOUN
bitcs-2763	160	14	and	and	CCONJ
bitcs-2763	160	15	inference	inference	PROPN
bitcs-2763	160	16	,	,	PUNCT
bitcs-2763	160	17	cambridge	cambridge	PROPN
bitcs-2763	160	18	:	:	PUNCT
bitcs-2763	160	19	cambridge	cambridge	PROPN
bitcs-2763	160	20	university	university	PROPN
bitcs-2763	160	21	press	press	NOUN
bitcs-2763	160	22	,	,	PUNCT
bitcs-2763	160	23	2012	2012	NUM
bitcs-2763	160	24	.	.	PUNCT