id	sid	tid	token	lemma	pos
cuesj-118	1	1	80	80	NUM
cuesj-118	1	2	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-118	1	3	cuesj	cuesj	NOUN
cuesj-118	1	4	2019	2019	NUM
cuesj-118	1	5	,	,	PUNCT
cuesj-118	1	6	3	3	NUM
cuesj-118	1	7	(	(	PUNCT
cuesj-118	1	8	2	2	NUM
cuesj-118	1	9	):	):	PUNCT
cuesj-118	1	10	80	80	NUM
cuesj-118	1	11	-	-	SYM
cuesj-118	1	12	84	84	NUM
cuesj-118	1	13	research	research	NOUN
cuesj-118	1	14	article	article	NOUN
cuesj-118	1	15	exploiting	exploit	VERB
cuesj-118	1	16	wavelet	wavelet	NOUN
cuesj-118	1	17	transform	transform	NOUN
cuesj-118	1	18	,	,	PUNCT
cuesj-118	1	19	principal	principal	ADJ
cuesj-118	1	20	component	component	NOUN
cuesj-118	1	21	analysis	analysis	NOUN
cuesj-118	1	22	,	,	PUNCT
cuesj-118	1	23	support	support	NOUN
cuesj-118	1	24	vector	vector	NOUN
cuesj-118	1	25	machine	machine	NOUN
cuesj-118	1	26	,	,	PUNCT
cuesj-118	1	27	and	and	CCONJ
cuesj-118	1	28	k	k	X
cuesj-118	1	29	-	-	PUNCT
cuesj-118	1	30	nearest	near	ADJ
cuesj-118	1	31	neighbors	neighbor	NOUN
cuesj-118	1	32	for	for	ADP
cuesj-118	1	33	partial	partial	ADJ
cuesj-118	1	34	face	face	NOUN
cuesj-118	1	35	recognition	recognition	NOUN
cuesj-118	1	36	mustafa	mustafa	PROPN
cuesj-118	1	37	zuhaer	zuhaer	PROPN
cuesj-118	1	38	nayef	nayef	VERB
cuesj-118	1	39	al	al	PROPN
cuesj-118	1	40	-	-	PUNCT
cuesj-118	1	41	dabagh1	dabagh1	PROPN
cuesj-118	1	42	,	,	PUNCT
cuesj-118	1	43	mustafa	mustafa	PROPN
cuesj-118	1	44	h.	h.	PROPN
cuesj-118	1	45	mohammed	mohammed	PROPN
cuesj-118	1	46	alhabib2	alhabib2	PROPN
cuesj-118	1	47	*	*	PROPN
cuesj-118	1	48	,	,	PUNCT
cuesj-118	1	49	firas	firas	PROPN
cuesj-118	1	50	h.	h.	PROPN
cuesj-118	1	51	al	al	PROPN
cuesj-118	1	52	-	-	PUNCT
cuesj-118	1	53	mukhtar3	mukhtar3	PROPN
cuesj-118	1	54	,	,	PUNCT
cuesj-118	1	55	hussein	hussein	PROPN
cuesj-118	1	56	ibrahim	ibrahim	PROPN
cuesj-118	1	57	hussein4	hussein4	PROPN
cuesj-118	2	1	1department	1department	NUM
cuesj-118	2	2	of	of	ADP
cuesj-118	2	3	computer	computer	NOUN
cuesj-118	2	4	science	science	NOUN
cuesj-118	2	5	,	,	PUNCT
cuesj-118	2	6	knowledge	knowledge	NOUN
cuesj-118	2	7	university	university	PROPN
cuesj-118	2	8	,	,	PUNCT
cuesj-118	2	9	kurdistan	kurdistan	PROPN
cuesj-118	2	10	region	region	NOUN
cuesj-118	2	11	,	,	PUNCT
cuesj-118	2	12	iraq	iraq	PROPN
cuesj-118	2	13	,	,	PUNCT
cuesj-118	2	14	2department	2department	NUM
cuesj-118	2	15	of	of	ADP
cuesj-118	2	16	communications	communication	NOUN
cuesj-118	2	17	and	and	CCONJ
cuesj-118	2	18	computer	computer	NOUN
cuesj-118	2	19	engineering	engineering	NOUN
cuesj-118	2	20	,	,	PUNCT
cuesj-118	2	21	cihan	cihan	VERB
cuesj-118	2	22	university	university	NOUN
cuesj-118	2	23	-	-	PUNCT
cuesj-118	2	24	erbil	erbil	PROPN
cuesj-118	2	25	,	,	PUNCT
cuesj-118	2	26	kurdistan	kurdistan	PROPN
cuesj-118	2	27	region	region	NOUN
cuesj-118	2	28	,	,	PUNCT
cuesj-118	2	29	iraq	iraq	PROPN
cuesj-118	2	30	,	,	PUNCT
cuesj-118	2	31	3department	3department	NUM
cuesj-118	2	32	of	of	ADP
cuesj-118	2	33	information	information	NOUN
cuesj-118	2	34	technology	technology	NOUN
cuesj-118	2	35	,	,	PUNCT
cuesj-118	2	36	catholic	catholic	PROPN
cuesj-118	2	37	university	university	PROPN
cuesj-118	2	38	in	in	ADP
cuesj-118	2	39	erbil	erbil	PROPN
cuesj-118	2	40	,	,	PUNCT
cuesj-118	2	41	kurdistan	kurdistan	PROPN
cuesj-118	2	42	region	region	NOUN
cuesj-118	2	43	,	,	PUNCT
cuesj-118	2	44	iraq	iraq	PROPN
cuesj-118	2	45	,	,	PUNCT
cuesj-118	2	46	4school	4school	NUM
cuesj-118	2	47	of	of	ADP
cuesj-118	2	48	computer	computer	NOUN
cuesj-118	2	49	and	and	CCONJ
cuesj-118	2	50	communication	communication	NOUN
cuesj-118	2	51	engineering	engineering	NOUN
cuesj-118	2	52	,	,	PUNCT
cuesj-118	2	53	universiti	universiti	PROPN
cuesj-118	2	54	malaysia	malaysia	PROPN
cuesj-118	2	55	perlis	perlis	PROPN
cuesj-118	2	56	,	,	PUNCT
cuesj-118	2	57	malaysia	malaysia	PROPN
cuesj-118	2	58	abstract	abstract	ADJ
cuesj-118	2	59	facial	facial	ADJ
cuesj-118	2	60	analysis	analysis	NOUN
cuesj-118	2	61	has	have	AUX
cuesj-118	2	62	evolved	evolve	VERB
cuesj-118	2	63	to	to	PART
cuesj-118	2	64	be	be	AUX
cuesj-118	2	65	a	a	DET
cuesj-118	2	66	process	process	NOUN
cuesj-118	2	67	of	of	ADP
cuesj-118	2	68	considerable	considerable	ADJ
cuesj-118	2	69	importance	importance	NOUN
cuesj-118	2	70	due	due	ADP
cuesj-118	2	71	to	to	ADP
cuesj-118	2	72	its	its	PRON
cuesj-118	2	73	consequence	consequence	NOUN
cuesj-118	2	74	on	on	ADP
cuesj-118	2	75	the	the	DET
cuesj-118	2	76	safety	safety	NOUN
cuesj-118	2	77	and	and	CCONJ
cuesj-118	2	78	security	security	NOUN
cuesj-118	2	79	,	,	PUNCT
cuesj-118	2	80	either	either	CCONJ
cuesj-118	2	81	individually	individually	ADV
cuesj-118	2	82	or	or	CCONJ
cuesj-118	2	83	generally	generally	ADV
cuesj-118	2	84	on	on	ADP
cuesj-118	2	85	the	the	DET
cuesj-118	2	86	society	society	NOUN
cuesj-118	2	87	level	level	NOUN
cuesj-118	2	88	,	,	PUNCT
cuesj-118	2	89	especially	especially	ADV
cuesj-118	2	90	in	in	ADP
cuesj-118	2	91	personal	personal	ADJ
cuesj-118	2	92	identification	identification	NOUN
cuesj-118	2	93	.	.	PUNCT
cuesj-118	3	1	the	the	DET
cuesj-118	3	2	paper	paper	NOUN
cuesj-118	3	3	in	in	ADP
cuesj-118	3	4	hand	hand	NOUN
cuesj-118	3	5	applies	apply	VERB
cuesj-118	3	6	facial	facial	ADJ
cuesj-118	3	7	identification	identification	NOUN
cuesj-118	3	8	on	on	ADP
cuesj-118	3	9	a	a	DET
cuesj-118	3	10	facial	facial	ADJ
cuesj-118	3	11	image	image	NOUN
cuesj-118	3	12	dataset	dataset	VERB
cuesj-118	3	13	by	by	ADP
cuesj-118	3	14	examining	examine	VERB
cuesj-118	3	15	partial	partial	ADJ
cuesj-118	3	16	facial	facial	ADJ
cuesj-118	3	17	images	image	NOUN
cuesj-118	3	18	before	before	ADP
cuesj-118	3	19	allocating	allocate	VERB
cuesj-118	3	20	a	a	DET
cuesj-118	3	21	set	set	NOUN
cuesj-118	3	22	of	of	ADP
cuesj-118	3	23	distinctive	distinctive	ADJ
cuesj-118	3	24	characteristics	characteristic	NOUN
cuesj-118	3	25	to	to	ADP
cuesj-118	3	26	them	they	PRON
cuesj-118	3	27	.	.	PUNCT
cuesj-118	4	1	extracting	extract	VERB
cuesj-118	4	2	the	the	DET
cuesj-118	4	3	desired	desire	VERB
cuesj-118	4	4	features	feature	NOUN
cuesj-118	4	5	from	from	ADP
cuesj-118	4	6	the	the	DET
cuesj-118	4	7	input	input	NOUN
cuesj-118	4	8	image	image	NOUN
cuesj-118	4	9	is	be	AUX
cuesj-118	4	10	achieved	achieve	VERB
cuesj-118	4	11	by	by	ADP
cuesj-118	4	12	means	mean	NOUN
cuesj-118	4	13	of	of	ADP
cuesj-118	4	14	wavelet	wavelet	NOUN
cuesj-118	4	15	transform	transform	NOUN
cuesj-118	4	16	.	.	PUNCT
cuesj-118	5	1	principal	principal	ADJ
cuesj-118	5	2	component	component	NOUN
cuesj-118	5	3	analysis	analysis	NOUN
cuesj-118	5	4	is	be	AUX
cuesj-118	5	5	used	use	VERB
cuesj-118	5	6	for	for	ADP
cuesj-118	5	7	feature	feature	NOUN
cuesj-118	5	8	selection	selection	NOUN
cuesj-118	5	9	,	,	PUNCT
cuesj-118	5	10	which	which	PRON
cuesj-118	5	11	specifies	specify	VERB
cuesj-118	5	12	several	several	ADJ
cuesj-118	5	13	aspects	aspect	NOUN
cuesj-118	5	14	in	in	ADP
cuesj-118	5	15	the	the	DET
cuesj-118	5	16	input	input	NOUN
cuesj-118	5	17	image	image	NOUN
cuesj-118	5	18	;	;	PUNCT
cuesj-118	5	19	these	these	DET
cuesj-118	5	20	features	feature	NOUN
cuesj-118	5	21	are	be	AUX
cuesj-118	5	22	fed	feed	VERB
cuesj-118	5	23	to	to	ADP
cuesj-118	5	24	two	two	NUM
cuesj-118	5	25	stages	stage	NOUN
cuesj-118	5	26	of	of	ADP
cuesj-118	5	27	classification	classification	NOUN
cuesj-118	5	28	using	use	VERB
cuesj-118	5	29	a	a	DET
cuesj-118	5	30	support	support	NOUN
cuesj-118	5	31	vector	vector	NOUN
cuesj-118	5	32	machine	machine	NOUN
cuesj-118	5	33	and	and	CCONJ
cuesj-118	5	34	k	k	NOUN
cuesj-118	5	35	-	-	PUNCT
cuesj-118	5	36	nearest	near	ADJ
cuesj-118	5	37	neighborhood	neighborhood	NOUN
cuesj-118	5	38	to	to	PART
cuesj-118	5	39	classify	classify	VERB
cuesj-118	5	40	the	the	DET
cuesj-118	5	41	face	face	NOUN
cuesj-118	5	42	.	.	PUNCT
cuesj-118	6	1	the	the	DET
cuesj-118	6	2	images	image	NOUN
cuesj-118	6	3	used	use	VERB
cuesj-118	6	4	to	to	PART
cuesj-118	6	5	test	test	VERB
cuesj-118	6	6	the	the	DET
cuesj-118	6	7	strength	strength	NOUN
cuesj-118	6	8	of	of	ADP
cuesj-118	6	9	the	the	DET
cuesj-118	6	10	suggested	suggest	VERB
cuesj-118	6	11	method	method	NOUN
cuesj-118	6	12	are	be	AUX
cuesj-118	6	13	taken	take	VERB
cuesj-118	6	14	from	from	ADP
cuesj-118	6	15	the	the	DET
cuesj-118	6	16	well	well	ADV
cuesj-118	6	17	-	-	PUNCT
cuesj-118	6	18	known	know	VERB
cuesj-118	6	19	(	(	PUNCT
cuesj-118	6	20	yale	yale	NOUN
cuesj-118	6	21	)	)	PUNCT
cuesj-118	6	22	database	database	NOUN
cuesj-118	6	23	.	.	PUNCT
cuesj-118	7	1	test	test	NOUN
cuesj-118	7	2	results	result	NOUN
cuesj-118	7	3	showed	show	VERB
cuesj-118	7	4	the	the	DET
cuesj-118	7	5	eligibility	eligibility	NOUN
cuesj-118	7	6	of	of	ADP
cuesj-118	7	7	the	the	DET
cuesj-118	7	8	system	system	NOUN
cuesj-118	7	9	when	when	SCONJ
cuesj-118	7	10	it	it	PRON
cuesj-118	7	11	comes	come	VERB
cuesj-118	7	12	to	to	PART
cuesj-118	7	13	identify	identify	VERB
cuesj-118	7	14	images	image	NOUN
cuesj-118	7	15	and	and	CCONJ
cuesj-118	7	16	assign	assign	VERB
cuesj-118	7	17	the	the	DET
cuesj-118	7	18	correct	correct	ADJ
cuesj-118	7	19	face	face	NOUN
cuesj-118	7	20	and	and	CCONJ
cuesj-118	7	21	name	name	NOUN
cuesj-118	7	22	.	.	PUNCT
cuesj-118	8	1	keywords	keyword	NOUN
cuesj-118	8	2	:	:	PUNCT
cuesj-118	8	3	k	k	ADJ
cuesj-118	8	4	-	-	PUNCT
cuesj-118	8	5	nearest	near	ADJ
cuesj-118	8	6	neighborhood	neighborhood	NOUN
cuesj-118	8	7	,	,	PUNCT
cuesj-118	8	8	partial	partial	ADJ
cuesj-118	8	9	face	face	NOUN
cuesj-118	8	10	recognition	recognition	NOUN
cuesj-118	8	11	,	,	PUNCT
cuesj-118	8	12	principal	principal	ADJ
cuesj-118	8	13	component	component	NOUN
cuesj-118	8	14	analysis	analysis	NOUN
cuesj-118	8	15	,	,	PUNCT
cuesj-118	8	16	support	support	NOUN
cuesj-118	8	17	vector	vector	NOUN
cuesj-118	8	18	machine	machine	NOUN
cuesj-118	8	19	,	,	PUNCT
cuesj-118	8	20	wavelet	wavelet	NOUN
cuesj-118	8	21	transform	transform	NOUN
cuesj-118	8	22	introduction	introduction	NOUN
cuesj-118	8	23	smart	smart	ADJ
cuesj-118	8	24	face	face	NOUN
cuesj-118	8	25	recognition	recognition	NOUN
cuesj-118	8	26	systems	system	NOUN
cuesj-118	8	27	are	be	AUX
cuesj-118	8	28	now	now	ADV
cuesj-118	8	29	widely	widely	ADV
cuesj-118	8	30	used	use	VERB
cuesj-118	8	31	in	in	ADP
cuesj-118	8	32	diverse	diverse	ADJ
cuesj-118	8	33	locations	location	NOUN
cuesj-118	8	34	such	such	ADJ
cuesj-118	8	35	as	as	ADP
cuesj-118	8	36	universities	university	NOUN
cuesj-118	8	37	,	,	PUNCT
cuesj-118	8	38	laboratories	laboratory	NOUN
cuesj-118	8	39	,	,	PUNCT
cuesj-118	8	40	airports	airport	NOUN
cuesj-118	8	41	,	,	PUNCT
cuesj-118	8	42	and	and	CCONJ
cuesj-118	8	43	many	many	ADJ
cuesj-118	8	44	other	other	ADJ
cuesj-118	8	45	public	public	ADJ
cuesj-118	8	46	service	service	NOUN
cuesj-118	8	47	facilities	facility	NOUN
cuesj-118	8	48	that	that	PRON
cuesj-118	8	49	attempt	attempt	VERB
cuesj-118	8	50	to	to	PART
cuesj-118	8	51	identify	identify	VERB
cuesj-118	8	52	and	and	CCONJ
cuesj-118	8	53	prevent	prevent	VERB
cuesj-118	8	54	the	the	DET
cuesj-118	8	55	intrusion	intrusion	NOUN
cuesj-118	8	56	of	of	ADP
cuesj-118	8	57	undesirable	undesirable	ADJ
cuesj-118	8	58	individuals	individual	NOUN
cuesj-118	8	59	into	into	ADP
cuesj-118	8	60	such	such	ADJ
cuesj-118	8	61	institutions.[1	institutions.[1	ADJ
cuesj-118	8	62	]	]	X
cuesj-118	8	63	many	many	ADJ
cuesj-118	8	64	researches	research	NOUN
cuesj-118	8	65	and	and	CCONJ
cuesj-118	8	66	researchers	researcher	NOUN
cuesj-118	8	67	brought	bring	VERB
cuesj-118	8	68	this	this	DET
cuesj-118	8	69	subject	subject	NOUN
cuesj-118	8	70	under	under	ADP
cuesj-118	8	71	the	the	DET
cuesj-118	8	72	spotlight	spotlight	NOUN
cuesj-118	8	73	,	,	PUNCT
cuesj-118	8	74	trying	try	VERB
cuesj-118	8	75	to	to	PART
cuesj-118	8	76	aid	aid	VERB
cuesj-118	8	77	in	in	ADP
cuesj-118	8	78	finding	find	VERB
cuesj-118	8	79	ultimate	ultimate	ADJ
cuesj-118	8	80	practical	practical	ADJ
cuesj-118	8	81	solutions	solution	NOUN
cuesj-118	8	82	for	for	ADP
cuesj-118	8	83	the	the	DET
cuesj-118	8	84	final	final	ADJ
cuesj-118	8	85	facial	facial	ADJ
cuesj-118	8	86	identification	identification	NOUN
cuesj-118	8	87	of	of	ADP
cuesj-118	8	88	suspected	suspect	VERB
cuesj-118	8	89	or	or	CCONJ
cuesj-118	8	90	undesirable	undesirable	ADJ
cuesj-118	8	91	personnel	personnel	NOUN
cuesj-118	8	92	.	.	PUNCT
cuesj-118	9	1	the	the	DET
cuesj-118	9	2	majority	majority	NOUN
cuesj-118	9	3	of	of	ADP
cuesj-118	9	4	researches	research	NOUN
cuesj-118	9	5	aim	aim	VERB
cuesj-118	9	6	at	at	ADP
cuesj-118	9	7	the	the	DET
cuesj-118	9	8	exploration	exploration	NOUN
cuesj-118	9	9	of	of	ADP
cuesj-118	9	10	new	new	ADJ
cuesj-118	9	11	approaches	approach	NOUN
cuesj-118	9	12	where	where	SCONJ
cuesj-118	9	13	human	human	ADJ
cuesj-118	9	14	qualities	quality	NOUN
cuesj-118	9	15	are	be	AUX
cuesj-118	9	16	its	its	PRON
cuesj-118	9	17	center	center	NOUN
cuesj-118	9	18	of	of	ADP
cuesj-118	9	19	interest	interest	NOUN
cuesj-118	9	20	,	,	PUNCT
cuesj-118	9	21	which	which	PRON
cuesj-118	9	22	leads	lead	VERB
cuesj-118	9	23	to	to	ADP
cuesj-118	9	24	a	a	DET
cuesj-118	9	25	facial	facial	ADJ
cuesj-118	9	26	recognition	recognition	NOUN
cuesj-118	9	27	process	process	NOUN
cuesj-118	9	28	that	that	PRON
cuesj-118	9	29	requires	require	VERB
cuesj-118	9	30	a	a	DET
cuesj-118	9	31	relatively	relatively	ADV
cuesj-118	9	32	small	small	ADJ
cuesj-118	9	33	execution	execution	NOUN
cuesj-118	9	34	time	time	NOUN
cuesj-118	9	35	with	with	ADP
cuesj-118	9	36	easy	easy	ADJ
cuesj-118	9	37	implementation	implementation	NOUN
cuesj-118	9	38	in	in	ADP
cuesj-118	9	39	many	many	ADJ
cuesj-118	9	40	applications.[2,3	applications.[2,3	NOUN
cuesj-118	9	41	]	]	X
cuesj-118	9	42	when	when	SCONJ
cuesj-118	9	43	using	use	VERB
cuesj-118	9	44	wavelet	wavelet	NOUN
cuesj-118	9	45	transform	transform	NOUN
cuesj-118	9	46	for	for	ADP
cuesj-118	9	47	feature	feature	NOUN
cuesj-118	9	48	extraction	extraction	NOUN
cuesj-118	9	49	,	,	PUNCT
cuesj-118	9	50	one	one	NUM
cuesj-118	9	51	of	of	ADP
cuesj-118	9	52	the	the	DET
cuesj-118	9	53	most	most	ADV
cuesj-118	9	54	common	common	ADJ
cuesj-118	9	55	and	and	CCONJ
cuesj-118	9	56	popular	popular	ADJ
cuesj-118	9	57	methods	method	NOUN
cuesj-118	9	58	for	for	ADP
cuesj-118	9	59	extracting	extract	VERB
cuesj-118	9	60	facial	facial	ADJ
cuesj-118	9	61	features	feature	NOUN
cuesj-118	9	62	are	be	AUX
cuesj-118	9	63	called	call	VERB
cuesj-118	9	64	“	"	PUNCT
cuesj-118	9	65	eigenface	eigenface	NOUN
cuesj-118	9	66	”	"	PUNCT
cuesj-118	9	67	technique.[4,5	technique.[4,5	VERB
cuesj-118	9	68	]	]	X
cuesj-118	9	69	eigenface	eigenface	NOUN
cuesj-118	9	70	is	be	AUX
cuesj-118	9	71	used	use	VERB
cuesj-118	9	72	by	by	ADP
cuesj-118	9	73	the	the	DET
cuesj-118	9	74	well	well	ADV
cuesj-118	9	75	-	-	PUNCT
cuesj-118	9	76	known	know	VERB
cuesj-118	9	77	principal	principal	ADJ
cuesj-118	9	78	component	component	NOUN
cuesj-118	9	79	analysis	analysis	NOUN
cuesj-118	9	80	(	(	PUNCT
cuesj-118	9	81	pca	pca	NOUN
cuesj-118	9	82	)	)	PUNCT
cuesj-118	9	83	algorithm	algorithm	NOUN
cuesj-118	9	84	,	,	PUNCT
cuesj-118	9	85	which	which	PRON
cuesj-118	9	86	transforms	transform	VERB
cuesj-118	9	87	the	the	DET
cuesj-118	9	88	facial	facial	ADJ
cuesj-118	9	89	image	image	NOUN
cuesj-118	9	90	and	and	CCONJ
cuesj-118	9	91	reduces	reduce	VERB
cuesj-118	9	92	its	its	PRON
cuesj-118	9	93	dimensionality	dimensionality	NOUN
cuesj-118	9	94	into	into	ADP
cuesj-118	9	95	low	low	ADJ
cuesj-118	9	96	-	-	PUNCT
cuesj-118	9	97	dimensional	dimensional	ADJ
cuesj-118	9	98	space	space	NOUN
cuesj-118	9	99	.	.	PUNCT
cuesj-118	10	1	pca	pca	NOUN
cuesj-118	10	2	converts	convert	VERB
cuesj-118	10	3	the	the	DET
cuesj-118	10	4	image	image	NOUN
cuesj-118	10	5	matrix	matrix	NOUN
cuesj-118	10	6	into	into	ADP
cuesj-118	10	7	a	a	DET
cuesj-118	10	8	reduced	reduced	ADJ
cuesj-118	10	9	single	single	ADJ
cuesj-118	10	10	orthogonal	orthogonal	ADJ
cuesj-118	10	11	vector	vector	NOUN
cuesj-118	10	12	with	with	ADP
cuesj-118	10	13	some	some	DET
cuesj-118	10	14	special	special	ADJ
cuesj-118	10	15	values	value	NOUN
cuesj-118	10	16	called	call	VERB
cuesj-118	10	17	the	the	DET
cuesj-118	10	18	eigenface	eigenface	NOUN
cuesj-118	10	19	.	.	PUNCT
cuesj-118	11	1	applying	apply	VERB
cuesj-118	11	2	pca	pca	NOUN
cuesj-118	11	3	to	to	ADP
cuesj-118	11	4	more	more	ADJ
cuesj-118	11	5	than	than	ADP
cuesj-118	11	6	one	one	NUM
cuesj-118	11	7	image	image	NOUN
cuesj-118	11	8	as	as	ADP
cuesj-118	11	9	a	a	DET
cuesj-118	11	10	training	training	NOUN
cuesj-118	11	11	set	set	NOUN
cuesj-118	11	12	will	will	AUX
cuesj-118	11	13	align	align	VERB
cuesj-118	11	14	many	many	ADJ
cuesj-118	11	15	vectors	vector	NOUN
cuesj-118	11	16	next	next	ADV
cuesj-118	11	17	to	to	ADP
cuesj-118	11	18	each	each	DET
cuesj-118	11	19	other	other	ADJ
cuesj-118	11	20	,	,	PUNCT
cuesj-118	11	21	leading	lead	VERB
cuesj-118	11	22	to	to	ADP
cuesj-118	11	23	a	a	DET
cuesj-118	11	24	linear	linear	ADJ
cuesj-118	11	25	matrix	matrix	NOUN
cuesj-118	11	26	that	that	PRON
cuesj-118	11	27	has	have	VERB
cuesj-118	11	28	some	some	DET
cuesj-118	11	29	data	datum	NOUN
cuesj-118	11	30	variances	variance	NOUN
cuesj-118	11	31	used	use	VERB
cuesj-118	11	32	for	for	ADP
cuesj-118	11	33	later	late	ADJ
cuesj-118	11	34	steps.[6	steps.[6	PRON
cuesj-118	11	35	]	]	PUNCT
cuesj-118	12	1	the	the	DET
cuesj-118	12	2	next	next	ADJ
cuesj-118	12	3	step	step	NOUN
cuesj-118	12	4	of	of	ADP
cuesj-118	12	5	the	the	DET
cuesj-118	12	6	presented	present	VERB
cuesj-118	12	7	automatic	automatic	ADJ
cuesj-118	12	8	recognition	recognition	NOUN
cuesj-118	12	9	system	system	NOUN
cuesj-118	12	10	is	be	AUX
cuesj-118	12	11	classification	classification	NOUN
cuesj-118	12	12	.	.	PUNCT
cuesj-118	13	1	there	there	PRON
cuesj-118	13	2	are	be	VERB
cuesj-118	13	3	many	many	ADJ
cuesj-118	13	4	methods	method	NOUN
cuesj-118	13	5	that	that	PRON
cuesj-118	13	6	can	can	AUX
cuesj-118	13	7	be	be	AUX
cuesj-118	13	8	used	use	VERB
cuesj-118	13	9	as	as	SCONJ
cuesj-118	13	10	classifiers	classifier	NOUN
cuesj-118	13	11	to	to	PART
cuesj-118	13	12	categorize	categorize	VERB
cuesj-118	13	13	the	the	DET
cuesj-118	13	14	input	input	NOUN
cuesj-118	13	15	image	image	NOUN
cuesj-118	13	16	according	accord	VERB
cuesj-118	13	17	to	to	ADP
cuesj-118	13	18	the	the	DET
cuesj-118	13	19	matrix	matrix	NOUN
cuesj-118	13	20	of	of	ADP
cuesj-118	13	21	data	datum	NOUN
cuesj-118	13	22	variances	variance	NOUN
cuesj-118	13	23	resulted	result	VERB
cuesj-118	13	24	from	from	ADP
cuesj-118	13	25	the	the	DET
cuesj-118	13	26	pca	pca	NOUN
cuesj-118	13	27	step	step	NOUN
cuesj-118	13	28	.	.	PUNCT
cuesj-118	14	1	one	one	NUM
cuesj-118	14	2	of	of	ADP
cuesj-118	14	3	these	these	DET
cuesj-118	14	4	methods	method	NOUN
cuesj-118	14	5	is	be	AUX
cuesj-118	14	6	support	support	NOUN
cuesj-118	14	7	vector	vector	NOUN
cuesj-118	14	8	machine	machine	NOUN
cuesj-118	14	9	(	(	PUNCT
cuesj-118	14	10	svm),[7	svm),[7	VERB
cuesj-118	14	11	-	-	SYM
cuesj-118	14	12	9	9	NUM
cuesj-118	14	13	]	]	PUNCT
cuesj-118	14	14	which	which	PRON
cuesj-118	14	15	is	be	AUX
cuesj-118	14	16	basically	basically	ADV
cuesj-118	14	17	a	a	DET
cuesj-118	14	18	binary	binary	ADJ
cuesj-118	14	19	classifier	classifier	NOUN
cuesj-118	14	20	that	that	PRON
cuesj-118	14	21	is	be	AUX
cuesj-118	14	22	considered	consider	VERB
cuesj-118	14	23	a	a	DET
cuesj-118	14	24	supervised	supervised	ADJ
cuesj-118	14	25	learning	learning	NOUN
cuesj-118	14	26	algorithm	algorithm	NOUN
cuesj-118	14	27	,	,	PUNCT
cuesj-118	14	28	which	which	PRON
cuesj-118	14	29	aims	aim	VERB
cuesj-118	14	30	at	at	ADP
cuesj-118	14	31	finding	find	VERB
cuesj-118	14	32	what	what	PRON
cuesj-118	14	33	is	be	AUX
cuesj-118	14	34	called	call	VERB
cuesj-118	14	35	the	the	DET
cuesj-118	14	36	optimal	optimal	ADJ
cuesj-118	14	37	hyperplane	hyperplane	NOUN
cuesj-118	14	38	in	in	ADP
cuesj-118	14	39	the	the	DET
cuesj-118	14	40	n	n	ADV
cuesj-118	14	41	-	-	PUNCT
cuesj-118	14	42	dimensional	dimensional	ADJ
cuesj-118	14	43	classification	classification	NOUN
cuesj-118	14	44	space	space	NOUN
cuesj-118	14	45	that	that	PRON
cuesj-118	14	46	gives	give	VERB
cuesj-118	14	47	the	the	DET
cuesj-118	14	48	highest	high	ADJ
cuesj-118	14	49	possible	possible	ADJ
cuesj-118	14	50	margin	margin	NOUN
cuesj-118	14	51	between	between	ADP
cuesj-118	14	52	classes	class	NOUN
cuesj-118	14	53	.	.	PUNCT
cuesj-118	15	1	svm	svm	PROPN
cuesj-118	15	2	achieves	achieve	VERB
cuesj-118	15	3	this	this	PRON
cuesj-118	15	4	by	by	ADP
cuesj-118	15	5	converting	convert	VERB
cuesj-118	15	6	the	the	DET
cuesj-118	15	7	training	training	NOUN
cuesj-118	15	8	set	set	NOUN
cuesj-118	15	9	obtained	obtain	VERB
cuesj-118	15	10	in	in	ADP
cuesj-118	15	11	the	the	DET
cuesj-118	15	12	cihan	cihan	NOUN
cuesj-118	15	13	university	university	NOUN
cuesj-118	15	14	-	-	PUNCT
cuesj-118	15	15	erbil	erbil	PROPN
cuesj-118	15	16	scientific	scientific	ADJ
cuesj-118	15	17	journal	journal	NOUN
cuesj-118	15	18	(	(	PUNCT
cuesj-118	15	19	cuesj	cuesj	PROPN
cuesj-118	15	20	)	)	PUNCT
cuesj-118	15	21	corresponding	correspond	VERB
cuesj-118	15	22	author	author	NOUN
cuesj-118	15	23	:	:	PUNCT
cuesj-118	15	24	mustafa	mustafa	PROPN
cuesj-118	15	25	h.	h.	PROPN
cuesj-118	15	26	mohammed	mohammed	PROPN
cuesj-118	15	27	alhabib	alhabib	PROPN
cuesj-118	15	28	,	,	PUNCT
cuesj-118	15	29	department	department	NOUN
cuesj-118	15	30	of	of	ADP
cuesj-118	15	31	communications	communication	NOUN
cuesj-118	15	32	and	and	CCONJ
cuesj-118	15	33	computer	computer	NOUN
cuesj-118	15	34	engineering	engineering	NOUN
cuesj-118	15	35	,	,	PUNCT
cuesj-118	15	36	cihan	cihan	VERB
cuesj-118	15	37	university	university	NOUN
cuesj-118	15	38	-	-	PUNCT
cuesj-118	15	39	erbil	erbil	PROPN
cuesj-118	15	40	,	,	PUNCT
cuesj-118	15	41	kurdistan	kurdistan	PROPN
cuesj-118	15	42	region	region	NOUN
cuesj-118	15	43	,	,	PUNCT
cuesj-118	15	44	iraq	iraq	PROPN
cuesj-118	15	45	.	.	PUNCT
cuesj-118	16	1	e	e	X
cuesj-118	16	2	-	-	NOUN
cuesj-118	16	3	mail	mail	NOUN
cuesj-118	16	4	:	:	PUNCT
cuesj-118	16	5	mustafa.alhabib1986@gmail.com	mustafa.alhabib1986@gmail.com	NUM
cuesj-118	16	6	received	receive	VERB
cuesj-118	16	7	:	:	PUNCT
cuesj-118	16	8	apr	apr	NOUN
cuesj-118	16	9	13	13	NUM
cuesj-118	16	10	,	,	PUNCT
cuesj-118	16	11	2019	2019	NUM
cuesj-118	16	12	accepted	accept	VERB
cuesj-118	16	13	:	:	PUNCT
cuesj-118	16	14	apr	apr	NOUN
cuesj-118	16	15	24	24	NUM
cuesj-118	16	16	,	,	PUNCT
cuesj-118	16	17	2019	2019	NUM
cuesj-118	16	18	published	publish	VERB
cuesj-118	16	19	:	:	PUNCT
cuesj-118	16	20	aug	aug	PROPN
cuesj-118	16	21	20	20	NUM
cuesj-118	16	22	,	,	PUNCT
cuesj-118	16	23	2019	2019	NUM
cuesj-118	16	24	doi	doi	NOUN
cuesj-118	16	25	:	:	PUNCT
cuesj-118	16	26	10.24086	10.24086	NUM
cuesj-118	16	27	/	/	SYM
cuesj-118	16	28	cuesj.v3n2y2019.pp80	cuesj.v3n2y2019.pp80	NOUN
cuesj-118	16	29	-	-	PUNCT
cuesj-118	16	30	84	84	NUM
cuesj-118	16	31	copyright	copyright	NOUN
cuesj-118	16	32	©	©	PROPN
cuesj-118	16	33	2019	2019	NUM
cuesj-118	16	34	mustafa	mustafa	PROPN
cuesj-118	16	35	zuhaer	zuhaer	PROPN
cuesj-118	16	36	nayef	nayef	PROPN
cuesj-118	16	37	al	al	PROPN
cuesj-118	16	38	-	-	PUNCT
cuesj-118	16	39	dabagh	dabagh	PROPN
cuesj-118	16	40	,	,	PUNCT
cuesj-118	16	41	mustafa	mustafa	PROPN
cuesj-118	16	42	h.	h.	PROPN
cuesj-118	16	43	mohammed	mohammed	PROPN
cuesj-118	16	44	alhabi	alhabi	PROPN
cuesj-118	16	45	,	,	PUNCT
cuesj-118	16	46	firas	firas	PROPN
cuesj-118	16	47	h.	h.	PROPN
cuesj-118	16	48	al	al	PROPN
cuesj-118	16	49	-	-	PUNCT
cuesj-118	16	50	mukhtar	mukhtar	PROPN
cuesj-118	16	51	,	,	PUNCT
cuesj-118	16	52	hussein	hussein	PROPN
cuesj-118	16	53	ibrahim	ibrahim	PROPN
cuesj-118	16	54	hussein	hussein	PROPN
cuesj-118	16	55	.	.	PUNCT
cuesj-118	17	1	this	this	PRON
cuesj-118	17	2	is	be	AUX
cuesj-118	17	3	an	an	DET
cuesj-118	17	4	open	open	ADJ
cuesj-118	17	5	-	-	PUNCT
cuesj-118	17	6	access	access	NOUN
cuesj-118	17	7	article	article	NOUN
cuesj-118	17	8	distributed	distribute	VERB
cuesj-118	17	9	under	under	ADP
cuesj-118	17	10	the	the	DET
cuesj-118	17	11	creative	creative	ADJ
cuesj-118	17	12	commons	common	NOUN
cuesj-118	17	13	attribution	attribution	NOUN
cuesj-118	17	14	license	license	NOUN
cuesj-118	17	15	.	.	PUNCT
cuesj-118	18	1	https://creativecommons.org/licenses/by-nc-nd/4.0/	https://creativecommons.org/licenses/by-nc-nd/4.0/	PROPN
cuesj-118	18	2	al	al	PROPN
cuesj-118	18	3	-	-	PUNCT
cuesj-118	18	4	dabagh	dabagh	PROPN
cuesj-118	18	5	,	,	PUNCT
cuesj-118	18	6	et	et	PROPN
cuesj-118	18	7	al	al	PROPN
cuesj-118	18	8	.	.	PROPN
cuesj-118	18	9	:	:	PUNCT
cuesj-118	18	10	exploiting	exploit	VERB
cuesj-118	18	11	wavelet	wavelet	NOUN
cuesj-118	18	12	transform	transform	NOUN
cuesj-118	18	13	,	,	PUNCT
cuesj-118	18	14	pca	pca	PROPN
cuesj-118	18	15	,	,	PUNCT
cuesj-118	18	16	svm	svm	NOUN
cuesj-118	18	17	and	and	CCONJ
cuesj-118	18	18	k	k	PROPN
cuesj-118	18	19	-	-	PUNCT
cuesj-118	18	20	nn	nn	PROPN
cuesj-118	18	21	for	for	ADP
cuesj-118	18	22	partial	partial	ADJ
cuesj-118	18	23	face	face	NOUN
cuesj-118	18	24	recognition	recognition	NOUN
cuesj-118	18	25	81	81	NUM
cuesj-118	18	26	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-118	18	27	cuesj	cuesj	NOUN
cuesj-118	18	28	2019	2019	NUM
cuesj-118	18	29	,	,	PUNCT
cuesj-118	18	30	3	3	NUM
cuesj-118	18	31	(	(	PUNCT
cuesj-118	18	32	2	2	NUM
cuesj-118	18	33	):	):	PUNCT
cuesj-118	18	34	80	80	NUM
cuesj-118	18	35	-	-	SYM
cuesj-118	18	36	84	84	NUM
cuesj-118	18	37	case	case	NOUN
cuesj-118	18	38	of	of	ADP
cuesj-118	18	39	complex	complex	ADJ
cuesj-118	18	40	nonlinear	nonlinear	ADJ
cuesj-118	18	41	data	datum	NOUN
cuesj-118	18	42	into	into	ADP
cuesj-118	18	43	a	a	DET
cuesj-118	18	44	higher	high	ADJ
cuesj-118	18	45	dimensional	dimensional	ADJ
cuesj-118	18	46	space	space	NOUN
cuesj-118	18	47	where	where	SCONJ
cuesj-118	18	48	it	it	PRON
cuesj-118	18	49	is	be	AUX
cuesj-118	18	50	possible	possible	ADJ
cuesj-118	18	51	to	to	PART
cuesj-118	18	52	separate	separate	VERB
cuesj-118	18	53	the	the	DET
cuesj-118	18	54	data	datum	NOUN
cuesj-118	18	55	by	by	ADP
cuesj-118	18	56	a	a	DET
cuesj-118	18	57	linear	linear	ADJ
cuesj-118	18	58	hyperplane	hyperplane	NOUN
cuesj-118	18	59	.	.	PUNCT
cuesj-118	19	1	svm	svm	PROPN
cuesj-118	19	2	is	be	AUX
cuesj-118	19	3	often	often	ADV
cuesj-118	19	4	reported	report	VERB
cuesj-118	19	5	to	to	PART
cuesj-118	19	6	achieve	achieve	VERB
cuesj-118	19	7	better	well	ADJ
cuesj-118	19	8	results	result	NOUN
cuesj-118	19	9	than	than	ADP
cuesj-118	19	10	other	other	ADJ
cuesj-118	19	11	classifiers.[6,10,11	classifiers.[6,10,11	NOUN
cuesj-118	19	12	]	]	PUNCT
cuesj-118	19	13	another	another	DET
cuesj-118	19	14	classification	classification	NOUN
cuesj-118	19	15	method	method	NOUN
cuesj-118	19	16	is	be	AUX
cuesj-118	19	17	the	the	DET
cuesj-118	19	18	nearest	near	ADJ
cuesj-118	19	19	neighbor	neighbor	NOUN
cuesj-118	19	20	(	(	PUNCT
cuesj-118	19	21	nn	nn	NOUN
cuesj-118	19	22	)	)	PUNCT
cuesj-118	19	23	algorithm.[12	algorithm.[12	PROPN
cuesj-118	19	24	-	-	SYM
cuesj-118	19	25	14	14	NUM
cuesj-118	19	26	]	]	PUNCT
cuesj-118	19	27	according	accord	VERB
cuesj-118	19	28	to	to	ADP
cuesj-118	19	29	nn	nn	PROPN
cuesj-118	19	30	,	,	PUNCT
cuesj-118	19	31	one	one	NUM
cuesj-118	19	32	set	set	NOUN
cuesj-118	19	33	of	of	ADP
cuesj-118	19	34	samples	sample	NOUN
cuesj-118	19	35	is	be	AUX
cuesj-118	19	36	handled	handle	VERB
cuesj-118	19	37	such	such	ADJ
cuesj-118	19	38	that	that	SCONJ
cuesj-118	19	39	these	these	DET
cuesj-118	19	40	samples	sample	NOUN
cuesj-118	19	41	can	can	AUX
cuesj-118	19	42	be	be	AUX
cuesj-118	19	43	classified	classify	VERB
cuesj-118	19	44	by	by	ADP
cuesj-118	19	45	minimizing	minimize	VERB
cuesj-118	19	46	the	the	DET
cuesj-118	19	47	distance	distance	NOUN
cuesj-118	19	48	among	among	ADP
cuesj-118	19	49	them	they	PRON
cuesj-118	19	50	.	.	PUNCT
cuesj-118	20	1	then	then	ADV
cuesj-118	20	2	,	,	PUNCT
cuesj-118	20	3	the	the	DET
cuesj-118	20	4	samples	sample	NOUN
cuesj-118	20	5	can	can	AUX
cuesj-118	20	6	be	be	AUX
cuesj-118	20	7	represented	represent	VERB
cuesj-118	20	8	in	in	ADP
cuesj-118	20	9	different	different	ADJ
cuesj-118	20	10	classes	class	NOUN
cuesj-118	20	11	where	where	SCONJ
cuesj-118	20	12	the	the	DET
cuesj-118	20	13	nn	nn	PROPN
cuesj-118	20	14	method	method	NOUN
cuesj-118	20	15	classifies	classify	VERB
cuesj-118	20	16	the	the	DET
cuesj-118	20	17	testing	testing	NOUN
cuesj-118	20	18	samples	sample	NOUN
cuesj-118	20	19	by	by	ADP
cuesj-118	20	20	prediction	prediction	NOUN
cuesj-118	20	21	as	as	SCONJ
cuesj-118	20	22	it	it	PRON
cuesj-118	20	23	calculates	calculate	VERB
cuesj-118	20	24	the	the	DET
cuesj-118	20	25	best	good	ADJ
cuesj-118	20	26	linear	linear	ADJ
cuesj-118	20	27	representation	representation	NOUN
cuesj-118	20	28	for	for	ADP
cuesj-118	20	29	each	each	DET
cuesj-118	20	30	class	class	NOUN
cuesj-118	20	31	.	.	PUNCT
cuesj-118	21	1	k	k	PROPN
cuesj-118	21	2	-	-	PUNCT
cuesj-118	21	3	nn	nn	PROPN
cuesj-118	21	4	is	be	AUX
cuesj-118	21	5	applied	apply	VERB
cuesj-118	21	6	primarily	primarily	ADV
cuesj-118	21	7	due	due	ADP
cuesj-118	21	8	to	to	ADP
cuesj-118	21	9	the	the	DET
cuesj-118	21	10	fact	fact	NOUN
cuesj-118	21	11	that	that	SCONJ
cuesj-118	21	12	it	it	PRON
cuesj-118	21	13	is	be	AUX
cuesj-118	21	14	simple	simple	ADJ
cuesj-118	21	15	and	and	CCONJ
cuesj-118	21	16	capable	capable	ADJ
cuesj-118	21	17	of	of	ADP
cuesj-118	21	18	attaining	attain	VERB
cuesj-118	21	19	an	an	DET
cuesj-118	21	20	outcome	outcome	NOUN
cuesj-118	21	21	that	that	PRON
cuesj-118	21	22	resembles	resemble	VERB
cuesj-118	21	23	the	the	DET
cuesj-118	21	24	output	output	NOUN
cuesj-118	21	25	of	of	ADP
cuesj-118	21	26	more	more	ADV
cuesj-118	21	27	complicated	complicated	ADJ
cuesj-118	21	28	methods	method	NOUN
cuesj-118	21	29	as	as	ADV
cuesj-118	21	30	well	well	ADV
cuesj-118	21	31	as	as	ADP
cuesj-118	21	32	its	its	PRON
cuesj-118	21	33	capability	capability	NOUN
cuesj-118	21	34	of	of	ADP
cuesj-118	21	35	being	be	AUX
cuesj-118	21	36	used	use	VERB
cuesj-118	21	37	in	in	ADP
cuesj-118	21	38	various	various	ADJ
cuesj-118	21	39	applications.[15	applications.[15	NOUN
cuesj-118	21	40	]	]	X
cuesj-118	21	41	many	many	ADJ
cuesj-118	21	42	previous	previous	ADJ
cuesj-118	21	43	researches	research	NOUN
cuesj-118	21	44	have	have	AUX
cuesj-118	21	45	been	be	AUX
cuesj-118	21	46	done	do	VERB
cuesj-118	21	47	in	in	ADP
cuesj-118	21	48	the	the	DET
cuesj-118	21	49	same	same	ADJ
cuesj-118	21	50	field	field	NOUN
cuesj-118	21	51	with	with	ADP
cuesj-118	21	52	similar	similar	ADJ
cuesj-118	21	53	methodology	methodology	NOUN
cuesj-118	21	54	.	.	PUNCT
cuesj-118	22	1	some	some	PRON
cuesj-118	22	2	of	of	ADP
cuesj-118	22	3	these	these	DET
cuesj-118	22	4	works	work	NOUN
cuesj-118	22	5	focused	focus	VERB
cuesj-118	22	6	on	on	ADP
cuesj-118	22	7	face	face	NOUN
cuesj-118	22	8	identification	identification	NOUN
cuesj-118	22	9	methods	method	NOUN
cuesj-118	22	10	that	that	PRON
cuesj-118	22	11	depend	depend	VERB
cuesj-118	22	12	on	on	ADP
cuesj-118	22	13	the	the	DET
cuesj-118	22	14	concept	concept	NOUN
cuesj-118	22	15	of	of	ADP
cuesj-118	22	16	cloud	cloud	NOUN
cuesj-118	22	17	computing.[1	computing.[1	PROPN
cuesj-118	22	18	]	]	PUNCT
cuesj-118	23	1	the	the	DET
cuesj-118	23	2	main	main	ADJ
cuesj-118	23	3	issue	issue	NOUN
cuesj-118	23	4	that	that	SCONJ
cuesj-118	23	5	these	these	DET
cuesj-118	23	6	methods	method	NOUN
cuesj-118	23	7	are	be	AUX
cuesj-118	23	8	trying	try	VERB
cuesj-118	23	9	to	to	PART
cuesj-118	23	10	address	address	VERB
cuesj-118	23	11	is	be	AUX
cuesj-118	23	12	the	the	DET
cuesj-118	23	13	unformulated	unformulated	ADJ
cuesj-118	23	14	aspect	aspect	NOUN
cuesj-118	23	15	of	of	ADP
cuesj-118	23	16	the	the	DET
cuesj-118	23	17	human	human	ADJ
cuesj-118	23	18	face	face	NOUN
cuesj-118	23	19	.	.	PUNCT
cuesj-118	24	1	here	here	ADV
cuesj-118	24	2	,	,	PUNCT
cuesj-118	24	3	the	the	DET
cuesj-118	24	4	authors	author	NOUN
cuesj-118	24	5	had	have	AUX
cuesj-118	24	6	suggested	suggest	VERB
cuesj-118	24	7	a	a	DET
cuesj-118	24	8	procedure	procedure	NOUN
cuesj-118	24	9	to	to	PART
cuesj-118	24	10	facilitate	facilitate	VERB
cuesj-118	24	11	the	the	DET
cuesj-118	24	12	operation	operation	NOUN
cuesj-118	24	13	of	of	ADP
cuesj-118	24	14	face	face	NOUN
cuesj-118	24	15	identification	identification	NOUN
cuesj-118	24	16	and	and	CCONJ
cuesj-118	24	17	matching	matching	NOUN
cuesj-118	24	18	.	.	PUNCT
cuesj-118	25	1	then	then	ADV
cuesj-118	25	2	,	,	PUNCT
cuesj-118	25	3	the	the	DET
cuesj-118	25	4	intent	intent	NOUN
cuesj-118	25	5	was	be	AUX
cuesj-118	25	6	to	to	PART
cuesj-118	25	7	design	design	VERB
cuesj-118	25	8	a	a	DET
cuesj-118	25	9	structure	structure	NOUN
cuesj-118	25	10	that	that	PRON
cuesj-118	25	11	adheres	adhere	VERB
cuesj-118	25	12	to	to	ADP
cuesj-118	25	13	the	the	DET
cuesj-118	25	14	concept	concept	NOUN
cuesj-118	25	15	of	of	ADP
cuesj-118	25	16	cloud	cloud	NOUN
cuesj-118	25	17	computing	compute	VERB
cuesj-118	25	18	side	side	NOUN
cuesj-118	25	19	by	by	ADP
cuesj-118	25	20	side	side	NOUN
cuesj-118	25	21	with	with	ADP
cuesj-118	25	22	parallel	parallel	ADJ
cuesj-118	25	23	selection	selection	NOUN
cuesj-118	25	24	process	process	NOUN
cuesj-118	25	25	.	.	PUNCT
cuesj-118	26	1	the	the	DET
cuesj-118	26	2	authors	author	NOUN
cuesj-118	26	3	claimed	claim	VERB
cuesj-118	26	4	that	that	SCONJ
cuesj-118	26	5	their	their	PRON
cuesj-118	26	6	algorithm	algorithm	NOUN
cuesj-118	26	7	qualifies	qualify	VERB
cuesj-118	26	8	as	as	ADP
cuesj-118	26	9	a	a	DET
cuesj-118	26	10	capable	capable	ADJ
cuesj-118	26	11	face	face	NOUN
cuesj-118	26	12	identification	identification	NOUN
cuesj-118	26	13	and	and	CCONJ
cuesj-118	26	14	resolution	resolution	NOUN
cuesj-118	26	15	method	method	NOUN
cuesj-118	26	16	according	accord	VERB
cuesj-118	26	17	to	to	ADP
cuesj-118	26	18	the	the	DET
cuesj-118	26	19	practical	practical	ADJ
cuesj-118	26	20	results	result	NOUN
cuesj-118	26	21	they	they	PRON
cuesj-118	26	22	obtained	obtain	VERB
cuesj-118	26	23	from	from	ADP
cuesj-118	26	24	the	the	DET
cuesj-118	26	25	system	system	NOUN
cuesj-118	26	26	.	.	PUNCT
cuesj-118	27	1	other	other	ADJ
cuesj-118	27	2	works	work	NOUN
cuesj-118	27	3	aimed	aim	VERB
cuesj-118	27	4	at	at	ADP
cuesj-118	27	5	improving	improve	VERB
cuesj-118	27	6	the	the	DET
cuesj-118	27	7	features	feature	NOUN
cuesj-118	27	8	gained	gain	VERB
cuesj-118	27	9	from	from	ADP
cuesj-118	27	10	facial	facial	ADJ
cuesj-118	27	11	images	image	NOUN
cuesj-118	27	12	by	by	ADP
cuesj-118	27	13	developing	develop	VERB
cuesj-118	27	14	methods	method	NOUN
cuesj-118	27	15	for	for	ADP
cuesj-118	27	16	this	this	DET
cuesj-118	27	17	purpose	purpose	NOUN
cuesj-118	27	18	.	.	PUNCT
cuesj-118	28	1	one	one	NUM
cuesj-118	28	2	of	of	ADP
cuesj-118	28	3	these	these	DET
cuesj-118	28	4	promising	promising	ADJ
cuesj-118	28	5	methods	method	NOUN
cuesj-118	28	6	is	be	AUX
cuesj-118	28	7	pca	pca	NOUN
cuesj-118	28	8	and	and	CCONJ
cuesj-118	28	9	discrete	discrete	ADJ
cuesj-118	28	10	wavelet	wavelet	NOUN
cuesj-118	28	11	transform	transform	NOUN
cuesj-118	28	12	(	(	PUNCT
cuesj-118	28	13	dwt),[4	dwt),[4	PROPN
cuesj-118	28	14	]	]	PUNCT
cuesj-118	28	15	in	in	ADP
cuesj-118	28	16	which	which	PRON
cuesj-118	28	17	dwt	dwt	NOUN
cuesj-118	28	18	is	be	AUX
cuesj-118	28	19	utilized	utilize	VERB
cuesj-118	28	20	for	for	ADP
cuesj-118	28	21	image	image	NOUN
cuesj-118	28	22	compression	compression	NOUN
cuesj-118	28	23	while	while	SCONJ
cuesj-118	28	24	pca	pca	PROPN
cuesj-118	28	25	is	be	AUX
cuesj-118	28	26	applied	apply	VERB
cuesj-118	28	27	for	for	ADP
cuesj-118	28	28	extracting	extract	VERB
cuesj-118	28	29	and	and	CCONJ
cuesj-118	28	30	identifying	identify	VERB
cuesj-118	28	31	features	feature	NOUN
cuesj-118	28	32	from	from	ADP
cuesj-118	28	33	the	the	DET
cuesj-118	28	34	images	image	NOUN
cuesj-118	28	35	.	.	PUNCT
cuesj-118	29	1	here	here	ADV
cuesj-118	29	2	,	,	PUNCT
cuesj-118	29	3	time	time	NOUN
cuesj-118	29	4	is	be	AUX
cuesj-118	29	5	to	to	PART
cuesj-118	29	6	be	be	AUX
cuesj-118	29	7	considered	consider	VERB
cuesj-118	29	8	as	as	ADP
cuesj-118	29	9	criteria	criterion	NOUN
cuesj-118	29	10	for	for	ADP
cuesj-118	29	11	measuring	measure	VERB
cuesj-118	29	12	the	the	DET
cuesj-118	29	13	algorithm	algorithm	NOUN
cuesj-118	29	14	’s	’s	PART
cuesj-118	29	15	performance	performance	NOUN
cuesj-118	29	16	.	.	PUNCT
cuesj-118	30	1	the	the	DET
cuesj-118	30	2	authors	author	NOUN
cuesj-118	30	3	declared	declare	VERB
cuesj-118	30	4	that	that	SCONJ
cuesj-118	30	5	their	their	PRON
cuesj-118	30	6	suggested	suggest	VERB
cuesj-118	30	7	algorithm	algorithm	NOUN
cuesj-118	30	8	required	require	VERB
cuesj-118	30	9	less	less	ADJ
cuesj-118	30	10	access	access	NOUN
cuesj-118	30	11	time	time	NOUN
cuesj-118	30	12	than	than	ADP
cuesj-118	30	13	using	use	VERB
cuesj-118	30	14	pca	pca	NOUN
cuesj-118	30	15	alone	alone	ADV
cuesj-118	30	16	,	,	PUNCT
cuesj-118	30	17	while	while	SCONJ
cuesj-118	30	18	achieving	achieve	VERB
cuesj-118	30	19	up	up	ADP
cuesj-118	30	20	to	to	PART
cuesj-118	30	21	93	93	NUM
cuesj-118	30	22	%	%	NOUN
cuesj-118	30	23	recognition	recognition	NOUN
cuesj-118	30	24	rate	rate	NOUN
cuesj-118	30	25	.	.	PUNCT
cuesj-118	31	1	safety	safety	NOUN
cuesj-118	31	2	and	and	CCONJ
cuesj-118	31	3	security	security	NOUN
cuesj-118	31	4	are	be	AUX
cuesj-118	31	5	of	of	ADP
cuesj-118	31	6	the	the	DET
cuesj-118	31	7	main	main	ADJ
cuesj-118	31	8	goals	goal	NOUN
cuesj-118	31	9	of	of	ADP
cuesj-118	31	10	face	face	NOUN
cuesj-118	31	11	recognition	recognition	NOUN
cuesj-118	31	12	,	,	PUNCT
cuesj-118	31	13	which	which	PRON
cuesj-118	31	14	can	can	AUX
cuesj-118	31	15	be	be	AUX
cuesj-118	31	16	applied	apply	VERB
cuesj-118	31	17	on	on	ADP
cuesj-118	31	18	personal	personal	ADJ
cuesj-118	31	19	level	level	NOUN
cuesj-118	31	20	such	such	ADJ
cuesj-118	31	21	as	as	ADP
cuesj-118	31	22	houses,[4	houses,[4	NUM
cuesj-118	31	23	]	]	PUNCT
cuesj-118	31	24	which	which	PRON
cuesj-118	31	25	presents	present	VERB
cuesj-118	31	26	a	a	DET
cuesj-118	31	27	system	system	NOUN
cuesj-118	31	28	that	that	PRON
cuesj-118	31	29	was	be	AUX
cuesj-118	31	30	set	set	VERB
cuesj-118	31	31	up	up	ADP
cuesj-118	31	32	on	on	ADP
cuesj-118	31	33	a	a	DET
cuesj-118	31	34	robotic	robotic	ADJ
cuesj-118	31	35	platform	platform	NOUN
cuesj-118	31	36	used	use	VERB
cuesj-118	31	37	to	to	PART
cuesj-118	31	38	patrol	patrol	VERB
cuesj-118	31	39	the	the	DET
cuesj-118	31	40	area	area	NOUN
cuesj-118	31	41	to	to	PART
cuesj-118	31	42	be	be	AUX
cuesj-118	31	43	covered	cover	VERB
cuesj-118	31	44	and	and	CCONJ
cuesj-118	31	45	give	give	VERB
cuesj-118	31	46	a	a	DET
cuesj-118	31	47	warning	warning	NOUN
cuesj-118	31	48	in	in	ADP
cuesj-118	31	49	case	case	NOUN
cuesj-118	31	50	of	of	ADP
cuesj-118	31	51	an	an	DET
cuesj-118	31	52	unidentified	unidentified	ADJ
cuesj-118	31	53	personnel	personnel	NOUN
cuesj-118	31	54	.	.	PUNCT
cuesj-118	32	1	first	first	ADV
cuesj-118	32	2	,	,	PUNCT
cuesj-118	32	3	the	the	DET
cuesj-118	32	4	face	face	NOUN
cuesj-118	32	5	area	area	NOUN
cuesj-118	32	6	was	be	AUX
cuesj-118	32	7	segmented	segment	VERB
cuesj-118	32	8	using	use	VERB
cuesj-118	32	9	a	a	DET
cuesj-118	32	10	method	method	NOUN
cuesj-118	32	11	called	call	VERB
cuesj-118	32	12	local	local	ADJ
cuesj-118	32	13	binary	binary	ADJ
cuesj-118	32	14	patterns	pattern	NOUN
cuesj-118	32	15	.	.	PUNCT
cuesj-118	33	1	afterward	afterward	ADV
cuesj-118	33	2	,	,	PUNCT
cuesj-118	33	3	svm	svm	PROPN
cuesj-118	33	4	is	be	AUX
cuesj-118	33	5	applied	apply	VERB
cuesj-118	33	6	for	for	ADP
cuesj-118	33	7	recognizing	recognize	VERB
cuesj-118	33	8	the	the	DET
cuesj-118	33	9	face	face	NOUN
cuesj-118	33	10	of	of	ADP
cuesj-118	33	11	interest	interest	NOUN
cuesj-118	33	12	.	.	PUNCT
cuesj-118	34	1	the	the	DET
cuesj-118	34	2	authors	author	NOUN
cuesj-118	34	3	stated	state	VERB
cuesj-118	34	4	that	that	SCONJ
cuesj-118	34	5	their	their	PRON
cuesj-118	34	6	real	real	ADJ
cuesj-118	34	7	-	-	PUNCT
cuesj-118	34	8	time	time	NOUN
cuesj-118	34	9	robotic	robotic	ADJ
cuesj-118	34	10	architecture	architecture	NOUN
cuesj-118	34	11	had	have	AUX
cuesj-118	34	12	reached	reach	VERB
cuesj-118	34	13	0.59	0.59	NUM
cuesj-118	34	14	precision	precision	NOUN
cuesj-118	34	15	with	with	ADP
cuesj-118	34	16	eigenfaces	eigenface	NOUN
cuesj-118	34	17	,	,	PUNCT
cuesj-118	34	18	0.81with	0.81with	NOUN
cuesj-118	34	19	fisherfaces	fisherface	NOUN
cuesj-118	34	20	,	,	PUNCT
cuesj-118	34	21	and	and	CCONJ
cuesj-118	34	22	0.86	0.86	NUM
cuesj-118	34	23	with	with	ADP
cuesj-118	34	24	svm	svm	PROPN
cuesj-118	34	25	.	.	PROPN
cuesj-118	34	26	system	system	NOUN
cuesj-118	34	27	design	design	VERB
cuesj-118	34	28	the	the	DET
cuesj-118	34	29	general	general	ADJ
cuesj-118	34	30	structure	structure	NOUN
cuesj-118	34	31	of	of	ADP
cuesj-118	34	32	this	this	DET
cuesj-118	34	33	research	research	NOUN
cuesj-118	34	34	paper	paper	NOUN
cuesj-118	34	35	consists	consist	VERB
cuesj-118	34	36	of	of	ADP
cuesj-118	34	37	four	four	NUM
cuesj-118	34	38	parts	part	NOUN
cuesj-118	34	39	.	.	PUNCT
cuesj-118	35	1	the	the	DET
cuesj-118	35	2	first	first	ADJ
cuesj-118	35	3	part	part	NOUN
cuesj-118	35	4	is	be	AUX
cuesj-118	35	5	preprocessing	preprocesse	VERB
cuesj-118	35	6	,	,	PUNCT
cuesj-118	35	7	including	include	VERB
cuesj-118	35	8	image	image	NOUN
cuesj-118	35	9	brightness	brightness	NOUN
cuesj-118	35	10	modification	modification	NOUN
cuesj-118	35	11	using	use	VERB
cuesj-118	35	12	median	median	ADJ
cuesj-118	35	13	filtering	filtering	NOUN
cuesj-118	35	14	,	,	PUNCT
cuesj-118	35	15	followed	follow	VERB
cuesj-118	35	16	by	by	ADP
cuesj-118	35	17	contrast	contrast	NOUN
cuesj-118	35	18	enhancement	enhancement	NOUN
cuesj-118	35	19	to	to	ADP
cuesj-118	35	20	the	the	DET
cuesj-118	35	21	extent	extent	NOUN
cuesj-118	35	22	that	that	PRON
cuesj-118	35	23	qualifies	qualify	VERB
cuesj-118	35	24	the	the	DET
cuesj-118	35	25	image	image	NOUN
cuesj-118	35	26	for	for	ADP
cuesj-118	35	27	the	the	DET
cuesj-118	35	28	second	second	ADJ
cuesj-118	35	29	step	step	NOUN
cuesj-118	35	30	,	,	PUNCT
cuesj-118	35	31	which	which	PRON
cuesj-118	35	32	involves	involve	VERB
cuesj-118	35	33	general	general	ADJ
cuesj-118	35	34	implementation	implementation	NOUN
cuesj-118	35	35	of	of	ADP
cuesj-118	35	36	the	the	DET
cuesj-118	35	37	partial	partial	ADJ
cuesj-118	35	38	face	face	NOUN
cuesj-118	35	39	recognition	recognition	NOUN
cuesj-118	35	40	system	system	NOUN
cuesj-118	35	41	.	.	PUNCT
cuesj-118	36	1	it	it	PRON
cuesj-118	36	2	includes	include	VERB
cuesj-118	36	3	wavelet	wavelet	NOUN
cuesj-118	36	4	transform	transform	NOUN
cuesj-118	36	5	,	,	PUNCT
cuesj-118	36	6	pca	pca	PROPN
cuesj-118	36	7	,	,	PUNCT
cuesj-118	36	8	svm	svm	NOUN
cuesj-118	36	9	,	,	PUNCT
cuesj-118	36	10	and	and	CCONJ
cuesj-118	36	11	k	k	PROPN
cuesj-118	36	12	-	-	PUNCT
cuesj-118	36	13	nn	nn	ADJ
cuesj-118	36	14	algorithms	algorithm	NOUN
cuesj-118	36	15	.	.	PUNCT
cuesj-118	37	1	in	in	ADP
cuesj-118	37	2	the	the	DET
cuesj-118	37	3	third	third	ADJ
cuesj-118	37	4	part	part	NOUN
cuesj-118	37	5	,	,	PUNCT
cuesj-118	37	6	the	the	DET
cuesj-118	37	7	recognition	recognition	NOUN
cuesj-118	37	8	system	system	NOUN
cuesj-118	37	9	results	result	NOUN
cuesj-118	37	10	are	be	AUX
cuesj-118	37	11	reviewed	review	VERB
cuesj-118	37	12	after	after	ADP
cuesj-118	37	13	being	be	AUX
cuesj-118	37	14	applied	apply	VERB
cuesj-118	37	15	on	on	ADP
cuesj-118	37	16	a	a	DET
cuesj-118	37	17	set	set	NOUN
cuesj-118	37	18	of	of	ADP
cuesj-118	37	19	training	training	NOUN
cuesj-118	37	20	images	image	NOUN
cuesj-118	37	21	and	and	CCONJ
cuesj-118	37	22	compared	compare	VERB
cuesj-118	37	23	with	with	ADP
cuesj-118	37	24	the	the	DET
cuesj-118	37	25	partial	partial	ADJ
cuesj-118	37	26	face	face	NOUN
cuesj-118	37	27	images	image	NOUN
cuesj-118	37	28	that	that	PRON
cuesj-118	37	29	are	be	AUX
cuesj-118	37	30	to	to	PART
cuesj-118	37	31	be	be	AUX
cuesj-118	37	32	distinguished	distinguish	VERB
cuesj-118	37	33	.	.	PUNCT
cuesj-118	38	1	part	part	NOUN
cuesj-118	38	2	four	four	NUM
cuesj-118	38	3	contains	contain	VERB
cuesj-118	38	4	the	the	DET
cuesj-118	38	5	research	research	NOUN
cuesj-118	38	6	conclusions	conclusion	NOUN
cuesj-118	38	7	.	.	PUNCT
cuesj-118	39	1	figure	figure	NOUN
cuesj-118	39	2	1	1	NUM
cuesj-118	39	3	demonstrates	demonstrate	VERB
cuesj-118	39	4	the	the	DET
cuesj-118	39	5	steps	step	NOUN
cuesj-118	39	6	of	of	ADP
cuesj-118	39	7	the	the	DET
cuesj-118	39	8	proposed	propose	VERB
cuesj-118	39	9	system	system	NOUN
cuesj-118	39	10	as	as	ADP
cuesj-118	39	11	below	below	ADV
cuesj-118	39	12	:	:	PUNCT
cuesj-118	39	13	preprocessing	preprocesse	VERB
cuesj-118	39	14	step	step	NOUN
cuesj-118	39	15	this	this	DET
cuesj-118	39	16	step	step	NOUN
cuesj-118	39	17	sets	set	VERB
cuesj-118	39	18	the	the	DET
cuesj-118	39	19	focus	focus	NOUN
cuesj-118	39	20	on	on	ADP
cuesj-118	39	21	the	the	DET
cuesj-118	39	22	intensity	intensity	NOUN
cuesj-118	39	23	and	and	CCONJ
cuesj-118	39	24	brightness	brightness	NOUN
cuesj-118	39	25	features	feature	NOUN
cuesj-118	39	26	of	of	ADP
cuesj-118	39	27	the	the	DET
cuesj-118	39	28	image	image	NOUN
cuesj-118	39	29	throughout	throughout	ADP
cuesj-118	39	30	the	the	DET
cuesj-118	39	31	use	use	NOUN
cuesj-118	39	32	of	of	ADP
cuesj-118	39	33	median	median	ADJ
cuesj-118	39	34	filtering	filtering	NOUN
cuesj-118	39	35	for	for	ADP
cuesj-118	39	36	enhancing	enhance	VERB
cuesj-118	39	37	these	these	DET
cuesj-118	39	38	qualities	quality	NOUN
cuesj-118	39	39	.	.	PUNCT
cuesj-118	40	1	the	the	DET
cuesj-118	40	2	filter	filter	NOUN
cuesj-118	40	3	acts	act	VERB
cuesj-118	40	4	as	as	ADP
cuesj-118	40	5	a	a	DET
cuesj-118	40	6	window	window	NOUN
cuesj-118	40	7	that	that	PRON
cuesj-118	40	8	sweeps	sweep	VERB
cuesj-118	40	9	throughout	throughout	ADP
cuesj-118	40	10	the	the	DET
cuesj-118	40	11	image	image	NOUN
cuesj-118	40	12	pixels	pixel	NOUN
cuesj-118	40	13	,	,	PUNCT
cuesj-118	40	14	arranging	arrange	VERB
cuesj-118	40	15	the	the	DET
cuesj-118	40	16	pixels	pixel	NOUN
cuesj-118	40	17	beneath	beneath	ADP
cuesj-118	40	18	this	this	DET
cuesj-118	40	19	window	window	NOUN
cuesj-118	40	20	in	in	ADP
cuesj-118	40	21	an	an	DET
cuesj-118	40	22	ascending	ascend	VERB
cuesj-118	40	23	order	order	NOUN
cuesj-118	40	24	before	before	ADP
cuesj-118	40	25	taking	take	VERB
cuesj-118	40	26	the	the	DET
cuesj-118	40	27	midpoint	midpoint	NOUN
cuesj-118	40	28	and	and	CCONJ
cuesj-118	40	29	assume	assume	VERB
cuesj-118	40	30	it	it	PRON
cuesj-118	40	31	to	to	PART
cuesj-118	40	32	be	be	AUX
cuesj-118	40	33	the	the	DET
cuesj-118	40	34	output	output	NOUN
cuesj-118	40	35	pixel.[16	pixel.[16	NOUN
cuesj-118	40	36	]	]	PUNCT
cuesj-118	40	37	this	this	PRON
cuesj-118	40	38	will	will	AUX
cuesj-118	40	39	result	result	VERB
cuesj-118	40	40	in	in	ADP
cuesj-118	40	41	spreading	spread	VERB
cuesj-118	40	42	the	the	DET
cuesj-118	40	43	light	light	NOUN
cuesj-118	40	44	evenly	evenly	ADV
cuesj-118	40	45	across	across	ADP
cuesj-118	40	46	the	the	DET
cuesj-118	40	47	image	image	NOUN
cuesj-118	40	48	.	.	PUNCT
cuesj-118	41	1	median	median	ADJ
cuesj-118	41	2	filtering	filtering	NOUN
cuesj-118	41	3	can	can	AUX
cuesj-118	41	4	be	be	AUX
cuesj-118	41	5	mathematically	mathematically	ADV
cuesj-118	41	6	expressed	express	VERB
cuesj-118	41	7	as	as	ADP
cuesj-118	41	8	follows:[17	follows:[17	PROPN
cuesj-118	41	9	]	]	X
cuesj-118	41	10	y	y	PROPN
cuesj-118	41	11	(	(	PUNCT
cuesj-118	41	12	x	x	PROPN
cuesj-118	41	13	,	,	PUNCT
cuesj-118	41	14	y	y	NOUN
cuesj-118	41	15	)	)	PUNCT
cuesj-118	41	16	=	=	SYM
cuesj-118	41	17	median	median	NOUN
cuesj-118	41	18	{	{	PUNCT
cuesj-118	41	19	g	g	PROPN
cuesj-118	41	20	[	[	X
cuesj-118	41	21	s	s	X
cuesj-118	41	22	,	,	PUNCT
cuesj-118	41	23	t	t	PROPN
cuesj-118	41	24	]	]	PUNCT
cuesj-118	41	25	,	,	PUNCT
cuesj-118	41	26	(	(	PUNCT
cuesj-118	41	27	s	s	X
cuesj-118	41	28	,	,	PUNCT
cuesj-118	41	29	t	t	PROPN
cuesj-118	41	30	)	)	PUNCT
cuesj-118	41	31	∈	∈	PROPN
cuesj-118	42	1	w	w	PROPN
cuesj-118	42	2	}	}	PUNCT
cuesj-118	42	3	where	where	SCONJ
cuesj-118	42	4	,	,	PUNCT
cuesj-118	42	5	g	g	PROPN
cuesj-118	43	1	[	[	X
cuesj-118	43	2	s	s	X
cuesj-118	43	3	,	,	PUNCT
cuesj-118	43	4	t	t	PROPN
cuesj-118	43	5	]	]	PUNCT
cuesj-118	43	6	is	be	AUX
cuesj-118	43	7	the	the	DET
cuesj-118	43	8	degraded	degraded	ADJ
cuesj-118	43	9	image	image	NOUN
cuesj-118	43	10	and	and	CCONJ
cuesj-118	43	11	w	w	NOUN
cuesj-118	43	12	is	be	AUX
cuesj-118	43	13	the	the	DET
cuesj-118	43	14	neighborhood	neighborhood	NOUN
cuesj-118	43	15	defined	define	VERB
cuesj-118	43	16	by	by	ADP
cuesj-118	43	17	user	user	NOUN
cuesj-118	43	18	as	as	ADP
cuesj-118	43	19	a	a	DET
cuesj-118	43	20	rectangular	rectangular	ADJ
cuesj-118	43	21	sub	sub	ADJ
cuesj-118	43	22	-	-	ADJ
cuesj-118	43	23	image	image	ADJ
cuesj-118	43	24	window	window	NOUN
cuesj-118	43	25	of	of	ADP
cuesj-118	43	26	size	size	NOUN
cuesj-118	43	27	m	m	PROPN
cuesj-118	43	28	and	and	CCONJ
cuesj-118	43	29	n.	n.	VERB
cuesj-118	43	30	another	another	DET
cuesj-118	43	31	algorithm	algorithm	NOUN
cuesj-118	43	32	is	be	AUX
cuesj-118	43	33	used	use	VERB
cuesj-118	43	34	depending	depend	VERB
cuesj-118	43	35	on	on	ADP
cuesj-118	43	36	the	the	DET
cuesj-118	43	37	output	output	NOUN
cuesj-118	43	38	of	of	ADP
cuesj-118	43	39	median	median	ADJ
cuesj-118	43	40	filtering	filtering	NOUN
cuesj-118	43	41	,	,	PUNCT
cuesj-118	43	42	called	call	VERB
cuesj-118	43	43	contrast	contrast	NOUN
cuesj-118	43	44	enhancement	enhancement	NOUN
cuesj-118	43	45	method	method	NOUN
cuesj-118	43	46	,	,	PUNCT
cuesj-118	43	47	which	which	PRON
cuesj-118	43	48	is	be	AUX
cuesj-118	43	49	the	the	DET
cuesj-118	43	50	method	method	NOUN
cuesj-118	43	51	that	that	PRON
cuesj-118	43	52	can	can	AUX
cuesj-118	43	53	be	be	AUX
cuesj-118	43	54	applied	apply	VERB
cuesj-118	43	55	to	to	PART
cuesj-118	43	56	enhance	enhance	VERB
cuesj-118	43	57	the	the	DET
cuesj-118	43	58	image	image	NOUN
cuesj-118	43	59	appearance	appearance	NOUN
cuesj-118	43	60	.	.	PUNCT
cuesj-118	44	1	contrast	contrast	NOUN
cuesj-118	44	2	is	be	AUX
cuesj-118	44	3	identified	identify	VERB
cuesj-118	44	4	as	as	ADP
cuesj-118	44	5	the	the	DET
cuesj-118	44	6	variation	variation	NOUN
cuesj-118	44	7	between	between	ADP
cuesj-118	44	8	the	the	DET
cuesj-118	44	9	highest	high	ADJ
cuesj-118	44	10	and	and	CCONJ
cuesj-118	44	11	lowest	low	ADJ
cuesj-118	44	12	pixel	pixel	PROPN
cuesj-118	44	13	intensity	intensity	NOUN
cuesj-118	44	14	levels	level	NOUN
cuesj-118	44	15	.	.	PUNCT
cuesj-118	45	1	the	the	DET
cuesj-118	45	2	equation	equation	NOUN
cuesj-118	45	3	for	for	ADP
cuesj-118	45	4	adjusting	adjust	VERB
cuesj-118	45	5	the	the	DET
cuesj-118	45	6	image	image	NOUN
cuesj-118	45	7	histogram	histogram	NOUN
cuesj-118	45	8	for	for	ADP
cuesj-118	45	9	contrast	contrast	NOUN
cuesj-118	45	10	increment	increment	NOUN
cuesj-118	45	11	is	be	AUX
cuesj-118	45	12	as	as	ADP
cuesj-118	45	13	follows:[18	follows:[18	NOUN
cuesj-118	45	14	]	]	X
cuesj-118	45	15	g	g	NOUN
cuesj-118	45	16	x	x	SYM
cuesj-118	45	17	y	y	NOUN
cuesj-118	45	18	f	f	PROPN
cuesj-118	45	19	x	x	VERB
cuesj-118	45	20	y	y	NOUN
cuesj-118	45	21	f	f	PROPN
cuesj-118	45	22	f	f	PROPN
cuesj-118	45	23	f	f	PROPN
cuesj-118	45	24	bbp	bbp	PROPN
cuesj-118	45	25	,	,	PUNCT
cuesj-118	45	26	,	,	PUNCT
cuesj-118	45	27	*	*	PUNCT
cuesj-118	45	28	min	min	PROPN
cuesj-118	45	29	max	max	PROPN
cuesj-118	45	30	min	min	PROPN
cuesj-118	45	31	(	(	PUNCT
cuesj-118	45	32	)	)	PUNCT
cuesj-118	45	33	=	=	SYM
cuesj-118	45	34	(	(	PUNCT
cuesj-118	45	35	)	)	PUNCT
cuesj-118	46	1	−	−	NOUN
cuesj-118	46	2	−	−	NOUN
cuesj-118	46	3	2	2	NUM
cuesj-118	46	4	here	here	ADV
cuesj-118	46	5	,	,	PUNCT
cuesj-118	46	6	the	the	DET
cuesj-118	46	7	lowest	low	ADJ
cuesj-118	46	8	and	and	CCONJ
cuesj-118	46	9	highest	high	ADJ
cuesj-118	46	10	pixel	pixel	PROPN
cuesj-118	46	11	intensity	intensity	NOUN
cuesj-118	46	12	levels	level	NOUN
cuesj-118	46	13	are	be	AUX
cuesj-118	46	14	used	use	VERB
cuesj-118	46	15	in	in	ADP
cuesj-118	46	16	the	the	DET
cuesj-118	46	17	equation	equation	NOUN
cuesj-118	46	18	and	and	CCONJ
cuesj-118	46	19	multiplied	multiply	VERB
cuesj-118	46	20	by	by	ADP
cuesj-118	46	21	the	the	DET
cuesj-118	46	22	available	available	ADJ
cuesj-118	46	23	range	range	NOUN
cuesj-118	46	24	of	of	ADP
cuesj-118	46	25	gray	gray	ADJ
cuesj-118	46	26	levels	level	NOUN
cuesj-118	46	27	.	.	PUNCT
cuesj-118	47	1	after	after	ADP
cuesj-118	47	2	applying	apply	VERB
cuesj-118	47	3	the	the	DET
cuesj-118	47	4	equation	equation	NOUN
cuesj-118	47	5	,	,	PUNCT
cuesj-118	47	6	the	the	DET
cuesj-118	47	7	quality	quality	NOUN
cuesj-118	47	8	of	of	ADP
cuesj-118	47	9	the	the	DET
cuesj-118	47	10	image	image	NOUN
cuesj-118	47	11	is	be	AUX
cuesj-118	47	12	improved	improve	VERB
cuesj-118	47	13	by	by	ADP
cuesj-118	47	14	enhancing	enhance	VERB
cuesj-118	47	15	the	the	DET
cuesj-118	47	16	contrast	contrast	NOUN
cuesj-118	47	17	as	as	SCONJ
cuesj-118	47	18	the	the	DET
cuesj-118	47	19	difference	difference	NOUN
cuesj-118	47	20	among	among	ADP
cuesj-118	47	21	the	the	DET
cuesj-118	47	22	image	image	NOUN
cuesj-118	47	23	histogram	histogram	NOUN
cuesj-118	47	24	bins	bin	NOUN
cuesj-118	47	25	is	be	AUX
cuesj-118	47	26	increased	increase	VERB
cuesj-118	47	27	.	.	PUNCT
cuesj-118	48	1	read	read	VERB
cuesj-118	48	2	input	input	NOUN
cuesj-118	48	3	svm	svm	PROPN
cuesj-118	48	4	feature	feature	NOUN
cuesj-118	48	5	k	k	PROPN
cuesj-118	48	6	-	-	PUNCT
cuesj-118	48	7	nn	nn	PROPN
cuesj-118	48	8	database	database	NOUN
cuesj-118	48	9	preprocessi	preprocessi	PROPN
cuesj-118	48	10	face	face	NOUN
cuesj-118	48	11	authorized	authorize	VERB
cuesj-118	48	12	?	?	PUNCT
cuesj-118	49	1	y	y	PROPN
cuesj-118	49	2	n	n	PRON
cuesj-118	49	3	end	end	VERB
cuesj-118	49	4	start	start	NOUN
cuesj-118	49	5	display	display	VERB
cuesj-118	49	6	the	the	DET
cuesj-118	49	7	informa	informa	PROPN
cuesj-118	49	8	�	�	PROPN
cuesj-118	49	9	on	on	ADP
cuesj-118	49	10	using	use	VERB
cuesj-118	49	11	gui	gui	NOUN
cuesj-118	49	12	figure	figure	NOUN
cuesj-118	49	13	1	1	NUM
cuesj-118	49	14	:	:	PUNCT
cuesj-118	49	15	organization	organization	NOUN
cuesj-118	49	16	of	of	ADP
cuesj-118	49	17	the	the	DET
cuesj-118	49	18	proposed	propose	VERB
cuesj-118	49	19	system	system	NOUN
cuesj-118	49	20	al	al	PROPN
cuesj-118	49	21	-	-	PUNCT
cuesj-118	49	22	dabagh	dabagh	PROPN
cuesj-118	49	23	,	,	PUNCT
cuesj-118	49	24	et	et	PROPN
cuesj-118	49	25	al	al	PROPN
cuesj-118	49	26	.	.	PROPN
cuesj-118	49	27	:	:	PUNCT
cuesj-118	49	28	exploiting	exploit	VERB
cuesj-118	49	29	wavelet	wavelet	NOUN
cuesj-118	49	30	transform	transform	NOUN
cuesj-118	49	31	,	,	PUNCT
cuesj-118	49	32	pca	pca	PROPN
cuesj-118	49	33	,	,	PUNCT
cuesj-118	49	34	svm	svm	NOUN
cuesj-118	49	35	and	and	CCONJ
cuesj-118	49	36	k	k	PROPN
cuesj-118	49	37	-	-	PUNCT
cuesj-118	49	38	nn	nn	PROPN
cuesj-118	49	39	for	for	ADP
cuesj-118	49	40	partial	partial	ADJ
cuesj-118	49	41	face	face	NOUN
cuesj-118	49	42	recognition	recognition	NOUN
cuesj-118	49	43	82	82	NUM
cuesj-118	49	44	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-118	49	45	cuesj	cuesj	NOUN
cuesj-118	49	46	2019	2019	NUM
cuesj-118	49	47	,	,	PUNCT
cuesj-118	49	48	3	3	NUM
cuesj-118	49	49	(	(	PUNCT
cuesj-118	49	50	2	2	NUM
cuesj-118	49	51	):	):	PUNCT
cuesj-118	49	52	80	80	NUM
cuesj-118	49	53	-	-	SYM
cuesj-118	49	54	84	84	NUM
cuesj-118	49	55	feature	feature	NOUN
cuesj-118	49	56	extraction	extraction	NOUN
cuesj-118	49	57	using	use	VERB
cuesj-118	49	58	wavelet	wavelet	NOUN
cuesj-118	49	59	transform	transform	VERB
cuesj-118	49	60	a	a	DET
cuesj-118	49	61	well	well	ADV
cuesj-118	49	62	-	-	PUNCT
cuesj-118	49	63	known	know	VERB
cuesj-118	49	64	application	application	NOUN
cuesj-118	49	65	of	of	ADP
cuesj-118	49	66	wavelet	wavelet	NOUN
cuesj-118	49	67	transform	transform	NOUN
cuesj-118	49	68	in	in	ADP
cuesj-118	49	69	image	image	NOUN
cuesj-118	49	70	processing	processing	NOUN
cuesj-118	49	71	is	be	AUX
cuesj-118	49	72	object	object	NOUN
cuesj-118	49	73	detection	detection	NOUN
cuesj-118	49	74	and	and	CCONJ
cuesj-118	49	75	classification	classification	NOUN
cuesj-118	49	76	.	.	PUNCT
cuesj-118	50	1	dwt	dwt	PROPN
cuesj-118	50	2	aims	aim	VERB
cuesj-118	50	3	at	at	ADP
cuesj-118	50	4	providing	provide	VERB
cuesj-118	50	5	a	a	DET
cuesj-118	50	6	representation	representation	NOUN
cuesj-118	50	7	of	of	ADP
cuesj-118	50	8	time	time	NOUN
cuesj-118	50	9	-	-	PUNCT
cuesj-118	50	10	frequency	frequency	NOUN
cuesj-118	50	11	relevance	relevance	NOUN
cuesj-118	50	12	.	.	PUNCT
cuesj-118	51	1	in	in	ADP
cuesj-118	51	2	this	this	DET
cuesj-118	51	3	approach	approach	NOUN
cuesj-118	51	4	,	,	PUNCT
cuesj-118	51	5	a	a	DET
cuesj-118	51	6	group	group	NOUN
cuesj-118	51	7	of	of	ADP
cuesj-118	51	8	shifted	shift	VERB
cuesj-118	51	9	and	and	CCONJ
cuesj-118	51	10	expanded	expand	VERB
cuesj-118	51	11	wavelet	wavelet	NOUN
cuesj-118	51	12	functions	function	NOUN
cuesj-118	51	13	ψlh	ψlh	NOUN
cuesj-118	51	14	,	,	PUNCT
cuesj-118	51	15	ψhl	ψhl	PROPN
cuesj-118	51	16	,	,	PUNCT
cuesj-118	51	17	and	and	CCONJ
cuesj-118	51	18	ψhh	ψhh	ADJ
cuesj-118	51	19	is	be	AUX
cuesj-118	51	20	used	use	VERB
cuesj-118	51	21	to	to	PART
cuesj-118	51	22	portrait	portrait	VERB
cuesj-118	51	23	the	the	DET
cuesj-118	51	24	image	image	NOUN
cuesj-118	51	25	being	be	AUX
cuesj-118	51	26	applied	apply	VERB
cuesj-118	51	27	for	for	ADP
cuesj-118	51	28	two	two	NUM
cuesj-118	51	29	-	-	PUNCT
cuesj-118	51	30	dimensional	dimensional	ADJ
cuesj-118	51	31	(	(	PUNCT
cuesj-118	51	32	2d	2d	NOUN
cuesj-118	51	33	)	)	PUNCT
cuesj-118	51	34	dwt	dwt	NOUN
cuesj-118	51	35	,	,	PUNCT
cuesj-118	51	36	with	with	ADP
cuesj-118	51	37	a	a	DET
cuesj-118	51	38	scaling	scaling	NOUN
cuesj-118	51	39	function	function	NOUN
cuesj-118	51	40	φll	φll	NOUN
cuesj-118	51	41	that	that	PRON
cuesj-118	51	42	creates	create	VERB
cuesj-118	51	43	an	an	DET
cuesj-118	51	44	orthonormal	orthonormal	ADJ
cuesj-118	51	45	basis	basis	NOUN
cuesj-118	51	46	for	for	ADP
cuesj-118	51	47	l2(r2	l2(r2	NOUN
cuesj-118	51	48	)	)	PUNCT
cuesj-118	51	49	.	.	PUNCT
cuesj-118	52	1	provided	provide	VERB
cuesj-118	52	2	a	a	DET
cuesj-118	52	3	j	j	NOUN
cuesj-118	52	4	-	-	PUNCT
cuesj-118	52	5	scale	scale	NOUN
cuesj-118	52	6	dwt	dwt	NOUN
cuesj-118	52	7	,	,	PUNCT
cuesj-118	52	8	an	an	DET
cuesj-118	52	9	image	image	NOUN
cuesj-118	52	10	x	x	X
cuesj-118	52	11	(	(	PUNCT
cuesj-118	52	12	s	s	PROPN
cuesj-118	52	13	,	,	PUNCT
cuesj-118	52	14	t	t	PROPN
cuesj-118	52	15	)	)	PUNCT
cuesj-118	52	16	with	with	ADP
cuesj-118	52	17	a	a	DET
cuesj-118	52	18	size	size	NOUN
cuesj-118	52	19	of	of	ADP
cuesj-118	52	20	n	n	DET
cuesj-118	52	21	×	×	NOUN
cuesj-118	52	22	n	n	VERB
cuesj-118	52	23	can	can	AUX
cuesj-118	52	24	be	be	AUX
cuesj-118	52	25	simplified	simplify	VERB
cuesj-118	52	26	as	as	ADP
cuesj-118	52	27	follows:[19	follows:[19	NOUN
cuesj-118	52	28	]	]	X
cuesj-118	52	29	x	x	SYM
cuesj-118	52	30	s	s	PROPN
cuesj-118	52	31	t	t	X
cuesj-118	52	32	u	u	X
cuesj-118	53	1	j	j	PROPN
cuesj-118	53	2	k	k	PROPN
cuesj-118	54	1	i	i	PRON
cuesj-118	54	2	s	s	PROPN
cuesj-118	54	3	t	t	PROPN
cuesj-118	54	4	w	w	PROPN
cuesj-118	55	1	j	j	PROPN
cuesj-118	56	1	k	k	PROPN
cuesj-118	57	1	i	i	PRON
cuesj-118	58	1	n	n	VERB
cuesj-118	59	1	j	j	PROPN
cuesj-118	59	2	k	k	NOUN
cuesj-118	60	1	i	i	PRON
cuesj-118	60	2	ll	ll	PROPN
cuesj-118	60	3	b	b	PROPN
cuesj-118	60	4	b	b	X
cuesj-118	61	1	j	j	PROPN
cuesj-118	61	2	k	k	PROPN
cuesj-118	62	1	i	i	PROPN
cuesj-118	62	2	n	n	PROPN
cuesj-118	62	3	b	b	PROPN
cuesj-118	62	4	j	j	PROPN
cuesj-118	62	5	,	,	PUNCT
cuesj-118	62	6	,	,	PUNCT
cuesj-118	62	7	,	,	PUNCT
cuesj-118	62	8	,	,	PUNCT
cuesj-118	62	9	,	,	PUNCT
cuesj-118	62	10	,	,	PUNCT
cuesj-118	62	11	,	,	PUNCT
cuesj-118	62	12	,	,	PUNCT
cuesj-118	62	13	,	,	PUNCT
cuesj-118	62	14	(	(	PUNCT
cuesj-118	62	15	)	)	PUNCT
cuesj-118	62	16	=	=	SYM
cuesj-118	62	17	(	(	PUNCT
cuesj-118	62	18	)	)	PUNCT
cuesj-118	63	1	+	+	PUNCT
cuesj-118	63	2	=	=	SYM
cuesj-118	63	3	=	=	SYM
cuesj-118	63	4	=	=	PUNCT
cuesj-118	63	5	−−	−−	PROPN
cuesj-118	63	6	∑	∑	PUNCT
cuesj-118	63	7	∑∑∑	∑∑∑	PROPN
cuesj-118	63	8	0	0	NUM
cuesj-118	63	9	1	1	NUM
cuesj-118	63	10	0	0	NUM
cuesj-118	63	11	11	11	NUM
cuesj-118	63	12	φ	φ	NUM
cuesj-118	63	13	∫	∫	PROPN
cuesj-118	64	1	kk	kk	INTJ
cuesj-118	65	1	i	i	PRON
cuesj-118	65	2	j	j	PROPN
cuesj-118	66	1	k	k	INTJ
cuesj-118	67	1	i	i	PRON
cuesj-118	67	2	s	s	VERB
cuesj-118	67	3	tb	tb	NOUN
cuesj-118	67	4	,	,	PUNCT
cuesj-118	67	5	,	,	PUNCT
cuesj-118	67	6	,	,	PUNCT
cuesj-118	67	7	,	,	PUNCT
cuesj-118	67	8	ψ	ψ	X
cuesj-118	67	9	(	(	PUNCT
cuesj-118	67	10	)	)	PUNCT
cuesj-118	67	11	with	with	ADP
cuesj-118	67	12			NOUN
cuesj-118	67	13	ll	ll	PUNCT
cuesj-118	68	1	j	j	PROPN
cuesj-118	68	2	j	j	PROPN
cuesj-118	68	3	jj	jj	PROPN
cuesj-118	68	4	k	k	PROPN
cuesj-118	69	1	i	i	PRON
cuesj-118	69	2	s	s	VERB
cuesj-118	69	3	t	t	PROPN
cuesj-118	69	4	s	s	X
cuesj-118	69	5	k	k	PROPN
cuesj-118	69	6	t	t	PROPN
cuesj-118	70	1	i	i	PRON
cuesj-118	70	2	,	,	PUNCT
cuesj-118	70	3	,	,	PUNCT
cuesj-118	70	4	,	,	PUNCT
cuesj-118	70	5	,	,	PUNCT
cuesj-118	70	6	(	(	PUNCT
cuesj-118	70	7	)	)	PUNCT
cuesj-118	70	8	≡	≡	PROPN
cuesj-118	70	9	−	−	PROPN
cuesj-118	71	1	−	−	PROPN
cuesj-118	71	2	(	(	PUNCT
cuesj-118	71	3	)	)	PUNCT
cuesj-118	71	4	−	−	PROPN
cuesj-118	72	1	−	−	NOUN
cuesj-118	72	2	−2	−2	NOUN
cuesj-118	72	3	2	2	NUM
cuesj-118	72	4	22	22	NUM
cuesj-118	72	5			NOUN
cuesj-118	72	6	b	b	NOUN
cuesj-118	72	7	bj	bj	VERB
cuesj-118	72	8	k	k	PROPN
cuesj-118	73	1	i	i	PRON
cuesj-118	73	2	s	s	PROPN
cuesj-118	73	3	t	t	PROPN
cuesj-118	74	1	j	j	PROPN
cuesj-118	74	2	k	k	PROPN
cuesj-118	75	1	i	i	PRON
cuesj-118	75	2	s	s	VERB
cuesj-118	75	3	t.	t.	PROPN
cuesj-118	75	4	.	.	PUNCT
cuesj-118	76	1	,	,	PUNCT
cuesj-118	76	2	,	,	PUNCT
cuesj-118	76	3	.	.	PUNCT
cuesj-118	76	4	.	.	PUNCT
cuesj-118	77	1	,	,	PUNCT
cuesj-118	77	2	(	(	PUNCT
cuesj-118	77	3	)	)	PUNCT
cuesj-118	77	4	(	(	PUNCT
cuesj-118	77	5	)	)	PUNCT
cuesj-118	77	6	≡	≡	PROPN
cuesj-118	77	7	−	−	PROPN
cuesj-118	78	1	−	−	PROPN
cuesj-118	78	2	(	(	PUNCT
cuesj-118	78	3	)	)	PUNCT
cuesj-118	78	4	−	−	PROPN
cuesj-118	79	1	−	−	NOUN
cuesj-118	79	2	−2	−2	NOUN
cuesj-118	79	3	2	2	NUM
cuesj-118	79	4	22	22	NUM
cuesj-118	79	5	j	j	PROPN
cuesj-118	79	6	b	b	PROPN
cuesj-118	80	1	j	j	PROPN
cuesj-118	80	2	js	js	PROPN
cuesj-118	81	1	k	k	PROPN
cuesj-118	81	2	t	t	PROPN
cuesj-118	81	3	i	i	PRON
cuesj-118	81	4	b	b	PROPN
cuesj-118	81	5	b	b	PROPN
cuesj-118	81	6	bψ	bψ	PROPN
cuesj-118	81	7	∫	∫	PROPN
cuesj-118	81	8	,	,	PUNCT
cuesj-118	81	9	,	,	PUNCT
cuesj-118	81	10	�	�	PROPN
cuesj-118	81	11	,	,	PUNCT
cuesj-118	81	12	.	.	PUNCT
cuesj-118	82	1	where	where	SCONJ
cuesj-118	82	2	,	,	PUNCT
cuesj-118	82	3	nj	nj	PROPN
cuesj-118	82	4	=	=	PUNCT
cuesj-118	82	5	n/2j	n/2j	X
cuesj-118	82	6	.	.	PUNCT
cuesj-118	83	1	the	the	DET
cuesj-118	83	2	coefficients	coefficient	NOUN
cuesj-118	83	3	lh	lh	PROPN
cuesj-118	83	4	,	,	PUNCT
cuesj-118	83	5	hl	hl	NOUN
cuesj-118	83	6	,	,	PUNCT
cuesj-118	83	7	and	and	CCONJ
cuesj-118	83	8	hh	hh	PROPN
cuesj-118	83	9	are	be	AUX
cuesj-118	83	10	called	call	VERB
cuesj-118	83	11	dwt	dwt	NOUN
cuesj-118	83	12	or	or	CCONJ
cuesj-118	83	13	wavelet	wavelet	NOUN
cuesj-118	83	14	sub	sub	NOUN
cuesj-118	83	15	-	-	NOUN
cuesj-118	83	16	bands	band	NOUN
cuesj-118	83	17	.	.	PUNCT
cuesj-118	84	1	feature	feature	NOUN
cuesj-118	84	2	extraction	extraction	NOUN
cuesj-118	84	3	techniques	technique	NOUN
cuesj-118	84	4	using	use	VERB
cuesj-118	84	5	wavelet	wavelet	NOUN
cuesj-118	84	6	transform	transform	NOUN
cuesj-118	84	7	aim	aim	NOUN
cuesj-118	84	8	at	at	ADP
cuesj-118	84	9	investigating	investigate	VERB
cuesj-118	84	10	the	the	DET
cuesj-118	84	11	characteristics	characteristic	NOUN
cuesj-118	84	12	of	of	ADP
cuesj-118	84	13	the	the	DET
cuesj-118	84	14	coefficient	coefficient	NOUN
cuesj-118	84	15	values	value	NOUN
cuesj-118	84	16	that	that	PRON
cuesj-118	84	17	are	be	AUX
cuesj-118	84	18	produced	produce	VERB
cuesj-118	84	19	through	through	ADP
cuesj-118	84	20	each	each	DET
cuesj-118	84	21	step	step	NOUN
cuesj-118	84	22	of	of	ADP
cuesj-118	84	23	the	the	DET
cuesj-118	84	24	2d	2d	NUM
cuesj-118	84	25	-	-	PUNCT
cuesj-118	84	26	dwt	dwt	NOUN
cuesj-118	84	27	transform	transform	NOUN
cuesj-118	84	28	of	of	ADP
cuesj-118	84	29	the	the	DET
cuesj-118	84	30	image	image	NOUN
cuesj-118	84	31	and	and	CCONJ
cuesj-118	84	32	produce	produce	VERB
cuesj-118	84	33	feature	feature	NOUN
cuesj-118	84	34	vectors	vector	NOUN
cuesj-118	84	35	to	to	PART
cuesj-118	84	36	be	be	AUX
cuesj-118	84	37	examined	examine	VERB
cuesj-118	84	38	during	during	ADP
cuesj-118	84	39	this	this	DET
cuesj-118	84	40	step	step	NOUN
cuesj-118	84	41	and	and	CCONJ
cuesj-118	84	42	in	in	ADP
cuesj-118	84	43	the	the	DET
cuesj-118	84	44	following	follow	VERB
cuesj-118	84	45	step	step	NOUN
cuesj-118	84	46	.	.	PUNCT
cuesj-118	85	1	pca	pca	PROPN
cuesj-118	85	2	pca[4,13	pca[4,13	PROPN
cuesj-118	85	3	]	]	PUNCT
cuesj-118	85	4	is	be	AUX
cuesj-118	85	5	a	a	DET
cuesj-118	85	6	well	well	ADV
cuesj-118	85	7	-	-	PUNCT
cuesj-118	85	8	known	know	VERB
cuesj-118	85	9	numerical	numerical	ADJ
cuesj-118	85	10	process	process	NOUN
cuesj-118	85	11	that	that	PRON
cuesj-118	85	12	can	can	AUX
cuesj-118	85	13	convert	convert	VERB
cuesj-118	85	14	an	an	DET
cuesj-118	85	15	amount	amount	NOUN
cuesj-118	85	16	of	of	ADP
cuesj-118	85	17	related	related	ADJ
cuesj-118	85	18	cases	case	NOUN
cuesj-118	85	19	into	into	ADP
cuesj-118	85	20	a	a	DET
cuesj-118	85	21	less	less	ADJ
cuesj-118	85	22	amount	amount	NOUN
cuesj-118	85	23	of	of	ADP
cuesj-118	85	24	unrelated	unrelated	ADJ
cuesj-118	85	25	cases	case	NOUN
cuesj-118	85	26	called	call	VERB
cuesj-118	85	27	principal	principal	ADJ
cuesj-118	85	28	components	component	NOUN
cuesj-118	85	29	.	.	PUNCT
cuesj-118	86	1	the	the	DET
cuesj-118	86	2	largest	large	ADJ
cuesj-118	86	3	possible	possible	ADJ
cuesj-118	86	4	sum	sum	NOUN
cuesj-118	86	5	of	of	ADP
cuesj-118	86	6	the	the	DET
cuesj-118	86	7	data	datum	NOUN
cuesj-118	86	8	variability	variability	NOUN
cuesj-118	86	9	is	be	AUX
cuesj-118	86	10	contained	contain	VERB
cuesj-118	86	11	in	in	ADP
cuesj-118	86	12	the	the	DET
cuesj-118	86	13	first	first	ADJ
cuesj-118	86	14	principal	principal	ADJ
cuesj-118	86	15	component	component	NOUN
cuesj-118	86	16	and	and	CCONJ
cuesj-118	86	17	the	the	DET
cuesj-118	86	18	largest	large	ADJ
cuesj-118	86	19	possible	possible	ADJ
cuesj-118	86	20	sum	sum	NOUN
cuesj-118	86	21	of	of	ADP
cuesj-118	86	22	the	the	DET
cuesj-118	86	23	remaining	remain	VERB
cuesj-118	86	24	variability	variability	NOUN
cuesj-118	86	25	is	be	AUX
cuesj-118	86	26	contained	contain	VERB
cuesj-118	86	27	in	in	ADP
cuesj-118	86	28	each	each	DET
cuesj-118	86	29	subsequent	subsequent	ADJ
cuesj-118	86	30	component.[4	component.[4	NOUN
cuesj-118	86	31	]	]	X
cuesj-118	86	32	pca	pca	NOUN
cuesj-118	86	33	reduces	reduce	VERB
cuesj-118	86	34	the	the	DET
cuesj-118	86	35	feature	feature	NOUN
cuesj-118	86	36	space	space	NOUN
cuesj-118	86	37	from	from	ADP
cuesj-118	86	38	a	a	DET
cuesj-118	86	39	bigger	big	ADJ
cuesj-118	86	40	amount	amount	NOUN
cuesj-118	86	41	of	of	ADP
cuesj-118	86	42	quantities	quantity	NOUN
cuesj-118	86	43	into	into	ADP
cuesj-118	86	44	a	a	DET
cuesj-118	86	45	less	less	ADJ
cuesj-118	86	46	amount	amount	NOUN
cuesj-118	86	47	of	of	ADP
cuesj-118	86	48	aspects	aspect	NOUN
cuesj-118	86	49	in	in	ADP
cuesj-118	86	50	a	a	DET
cuesj-118	86	51	“	"	PUNCT
cuesj-118	86	52	non	non	ADJ
cuesj-118	86	53	-	-	ADJ
cuesj-118	86	54	dependent	dependent	ADJ
cuesj-118	86	55	”	"	PUNCT
cuesj-118	86	56	process	process	NOUN
cuesj-118	86	57	(	(	PUNCT
cuesj-118	86	58	the	the	DET
cuesj-118	86	59	specification	specification	NOUN
cuesj-118	86	60	of	of	ADP
cuesj-118	86	61	a	a	DET
cuesj-118	86	62	particular	particular	ADJ
cuesj-118	86	63	dependent	dependent	ADJ
cuesj-118	86	64	case	case	NOUN
cuesj-118	86	65	is	be	AUX
cuesj-118	86	66	not	not	PART
cuesj-118	86	67	presumed	presume	VERB
cuesj-118	86	68	)	)	PUNCT
cuesj-118	86	69	.	.	PUNCT
cuesj-118	87	1	pca	pca	PROPN
cuesj-118	87	2	is	be	AUX
cuesj-118	87	3	applied	apply	VERB
cuesj-118	87	4	mainly	mainly	ADV
cuesj-118	87	5	for	for	ADP
cuesj-118	87	6	data	data	NOUN
cuesj-118	87	7	compression	compression	NOUN
cuesj-118	87	8	or	or	CCONJ
cuesj-118	87	9	dimensionality	dimensionality	NOUN
cuesj-118	87	10	reduction	reduction	NOUN
cuesj-118	87	11	(	(	PUNCT
cuesj-118	87	12	i.e.	i.e.	X
cuesj-118	87	13	,	,	PUNCT
cuesj-118	87	14	the	the	DET
cuesj-118	87	15	election	election	NOUN
cuesj-118	87	16	of	of	ADP
cuesj-118	87	17	a	a	DET
cuesj-118	87	18	group	group	NOUN
cuesj-118	87	19	of	of	ADP
cuesj-118	87	20	cases	case	NOUN
cuesj-118	87	21	from	from	ADP
cuesj-118	87	22	a	a	DET
cuesj-118	87	23	bigger	big	ADJ
cuesj-118	87	24	,	,	PUNCT
cuesj-118	87	25	more	more	ADV
cuesj-118	87	26	correlated	correlate	VERB
cuesj-118	87	27	group	group	NOUN
cuesj-118	87	28	)	)	PUNCT
cuesj-118	87	29	.	.	PUNCT
cuesj-118	88	1	therefore	therefore	ADV
cuesj-118	88	2	,	,	PUNCT
cuesj-118	88	3	original	original	ADJ
cuesj-118	88	4	cases	case	NOUN
cuesj-118	88	5	(	(	PUNCT
cuesj-118	88	6	images	image	NOUN
cuesj-118	88	7	in	in	ADP
cuesj-118	88	8	our	our	PRON
cuesj-118	88	9	system	system	NOUN
cuesj-118	88	10	)	)	PUNCT
cuesj-118	88	11	enjoy	enjoy	VERB
cuesj-118	88	12	the	the	DET
cuesj-118	88	13	greatest	great	ADJ
cuesj-118	88	14	amount	amount	NOUN
cuesj-118	88	15	of	of	ADP
cuesj-118	88	16	correlations	correlation	NOUN
cuesj-118	88	17	with	with	ADP
cuesj-118	88	18	the	the	DET
cuesj-118	88	19	principal	principal	ADJ
cuesj-118	88	20	component	component	NOUN
cuesj-118	88	21	.	.	PUNCT
cuesj-118	89	1	mathematical	mathematical	ADJ
cuesj-118	89	2	pca	pca	PROPN
cuesj-118	89	3	can	can	AUX
cuesj-118	89	4	be	be	AUX
cuesj-118	89	5	presented	present	VERB
cuesj-118	89	6	in	in	ADP
cuesj-118	89	7	the	the	DET
cuesj-118	89	8	points	point	NOUN
cuesj-118	89	9	below	below	ADP
cuesj-118	89	10	:	:	PUNCT
cuesj-118	90	1	1	1	X
cuesj-118	90	2	.	.	X
cuesj-118	90	3	the	the	DET
cuesj-118	90	4	facial	facial	ADJ
cuesj-118	90	5	pictures	picture	NOUN
cuesj-118	90	6	to	to	PART
cuesj-118	90	7	be	be	AUX
cuesj-118	90	8	trained	train	VERB
cuesj-118	90	9	can	can	AUX
cuesj-118	90	10	be	be	AUX
cuesj-118	90	11	represented	represent	VERB
cuesj-118	90	12	as	as	ADP
cuesj-118	90	13	r	r	NOUN
cuesj-118	90	14	:	:	PUNCT
cuesj-118	90	15	r1	r1	PROPN
cuesj-118	90	16	,	,	PUNCT
cuesj-118	90	17	r2	r2	PROPN
cuesj-118	90	18	,	,	PUNCT
cuesj-118	90	19	r3	r3	PROPN
cuesj-118	90	20	,	,	PUNCT
cuesj-118	90	21	r4	r4	NOUN
cuesj-118	90	22	…	…	PUNCT
cuesj-118	90	23	…	…	PUNCT
cuesj-118	90	24	..	..	SYM
cuesj-118	90	25	rn	rn	PROPN
cuesj-118	90	26	2	2	NUM
cuesj-118	90	27	.	.	PUNCT
cuesj-118	90	28	extracting	extract	VERB
cuesj-118	90	29	the	the	DET
cuesj-118	90	30	average	average	ADJ
cuesj-118	90	31	facial	facial	ADJ
cuesj-118	90	32	image	image	NOUN
cuesj-118	90	33	from	from	ADP
cuesj-118	90	34	the	the	DET
cuesj-118	90	35	set	set	NOUN
cuesj-118	90	36	of	of	ADP
cuesj-118	90	37	image	image	NOUN
cuesj-118	90	38	scan	scan	NOUN
cuesj-118	90	39	can	can	AUX
cuesj-118	90	40	be	be	AUX
cuesj-118	90	41	done	do	VERB
cuesj-118	90	42	by	by	ADP
cuesj-118	90	43	:	:	PUNCT
cuesj-118	90	44	(	(	PUNCT
cuesj-118	90	45	)	)	PUNCT
cuesj-118	90	46	…	…	SYM
cuesj-118	90	47	1	1	NUM
cuesj-118	90	48	2	2	NUM
cuesj-118	90	49	n	n	NUM
cuesj-118	90	50	1	1	NUM
cuesj-118	90	51	v	v	NOUN
cuesj-118	90	52	=	=	SYM
cuesj-118	91	1	r	r	NOUN
cuesj-118	91	2	+	+	NOUN
cuesj-118	91	3	r	r	NOUN
cuesj-118	91	4	+	+	NOUN
cuesj-118	91	5	+	+	CCONJ
cuesj-118	91	6	r	r	NOUN
cuesj-118	91	7	n	n	NUM
cuesj-118	91	8	the	the	DET
cuesj-118	91	9	difference	difference	NOUN
cuesj-118	91	10	between	between	ADP
cuesj-118	91	11	each	each	DET
cuesj-118	91	12	instance	instance	NOUN
cuesj-118	91	13	with	with	ADP
cuesj-118	91	14	the	the	DET
cuesj-118	91	15	average	average	ADJ
cuesj-118	91	16	is:1	is:1	PROPN
cuesj-118	91	17	nq	nq	NOUN
cuesj-118	91	18	=	=	NOUN
cuesj-118	91	19	r	r	NOUN
cuesj-118	91	20	-v	-v	PUNCT
cuesj-118	91	21	…	…	PUNCT
cuesj-118	91	22	……	……	X
cuesj-118	91	23	r	r	X
cuesj-118	91	24	-v	-v	X
cuesj-118	91	25	3	3	X
cuesj-118	91	26	.	.	PUNCT
cuesj-118	92	1	the	the	DET
cuesj-118	92	2	covariance	covariance	NOUN
cuesj-118	92	3	matrix	matrix	NOUN
cuesj-118	92	4	can	can	AUX
cuesj-118	92	5	be	be	AUX
cuesj-118	92	6	computed	compute	VERB
cuesj-118	92	7	as	as	ADP
cuesj-118	92	8	below	below	ADV
cuesj-118	92	9	:	:	PUNCT
cuesj-118	92	10	m	m	VERB
cuesj-118	92	11	n	n	PRON
cuesj-118	92	12	qqt=	qqt=	ADJ
cuesj-118	92	13	−	−	PROPN
cuesj-118	92	14	1	1	NUM
cuesj-118	92	15	1	1	NUM
cuesj-118	92	16	here	here	ADV
cuesj-118	92	17	,	,	PUNCT
cuesj-118	92	18	the	the	DET
cuesj-118	92	19	matrix	matrix	NOUN
cuesj-118	92	20	m	m	AUX
cuesj-118	92	21	is	be	AUX
cuesj-118	92	22	created	create	VERB
cuesj-118	92	23	by	by	ADP
cuesj-118	92	24	aligning	align	VERB
cuesj-118	92	25	n	n	PRON
cuesj-118	92	26	orthogonal	orthogonal	ADJ
cuesj-118	92	27	vectors	vector	NOUN
cuesj-118	92	28	,	,	PUNCT
cuesj-118	92	29	each	each	PRON
cuesj-118	92	30	of	of	ADP
cuesj-118	92	31	which	which	PRON
cuesj-118	92	32	contains	contain	VERB
cuesj-118	92	33	some	some	DET
cuesj-118	92	34	facial	facial	ADJ
cuesj-118	92	35	image	image	NOUN
cuesj-118	92	36	features	feature	NOUN
cuesj-118	92	37	called	call	VERB
cuesj-118	92	38	eigenfaces	eigenface	NOUN
cuesj-118	92	39	.	.	PUNCT
cuesj-118	93	1	that	that	PRON
cuesj-118	93	2	is	is	ADV
cuesj-118	93	3	,	,	PUNCT
cuesj-118	93	4	each	each	DET
cuesj-118	93	5	vector	vector	NOUN
cuesj-118	93	6	contributes	contribute	VERB
cuesj-118	93	7	in	in	ADP
cuesj-118	93	8	the	the	DET
cuesj-118	93	9	original	original	ADJ
cuesj-118	93	10	set	set	NOUN
cuesj-118	93	11	by	by	ADP
cuesj-118	93	12	a	a	DET
cuesj-118	93	13	weight	weight	NOUN
cuesj-118	93	14	vector	vector	NOUN
cuesj-118	93	15	w	w	PROPN
cuesj-118	93	16	,	,	PUNCT
cuesj-118	93	17	such	such	ADJ
cuesj-118	93	18	that	that	SCONJ
cuesj-118	93	19	:	:	PUNCT
cuesj-118	93	20	w	w	NOUN
cuesj-118	93	21	u	u	NOUN
cuesj-118	93	22	qn	qn	NOUN
cuesj-118	93	23	n	n	PROPN
cuesj-118	93	24	t	t	PROPN
cuesj-118	93	25	n=	n=	ADJ
cuesj-118	93	26	where	where	SCONJ
cuesj-118	93	27	,	,	PUNCT
cuesj-118	93	28	un	un	PROPN
cuesj-118	93	29	t	t	PROPN
cuesj-118	93	30	represents	represent	VERB
cuesj-118	93	31	the	the	DET
cuesj-118	93	32	features	feature	NOUN
cuesj-118	93	33	of	of	ADP
cuesj-118	93	34	the	the	DET
cuesj-118	93	35	facial	facial	ADJ
cuesj-118	93	36	image	image	NOUN
cuesj-118	93	37	’s	’s	PART
cuesj-118	93	38	orthogonal	orthogonal	ADJ
cuesj-118	93	39	vectors	vector	NOUN
cuesj-118	93	40	.	.	PUNCT
cuesj-118	94	1	classification	classification	NOUN
cuesj-118	94	2	classification	classification	NOUN
cuesj-118	94	3	is	be	AUX
cuesj-118	94	4	the	the	DET
cuesj-118	94	5	final	final	ADJ
cuesj-118	94	6	part	part	NOUN
cuesj-118	94	7	of	of	ADP
cuesj-118	94	8	the	the	DET
cuesj-118	94	9	system	system	NOUN
cuesj-118	94	10	.	.	PUNCT
cuesj-118	95	1	in	in	ADP
cuesj-118	95	2	this	this	DET
cuesj-118	95	3	part	part	NOUN
cuesj-118	95	4	,	,	PUNCT
cuesj-118	95	5	two	two	NUM
cuesj-118	95	6	stages	stage	NOUN
cuesj-118	95	7	of	of	ADP
cuesj-118	95	8	classifier	classifier	NOUN
cuesj-118	95	9	are	be	AUX
cuesj-118	95	10	used	use	VERB
cuesj-118	95	11	.	.	PUNCT
cuesj-118	96	1	in	in	ADP
cuesj-118	96	2	the	the	DET
cuesj-118	96	3	first	first	ADJ
cuesj-118	96	4	one	one	NUM
cuesj-118	96	5	,	,	PUNCT
cuesj-118	96	6	svm	svm	PROPN
cuesj-118	96	7	is	be	AUX
cuesj-118	96	8	used	use	VERB
cuesj-118	96	9	for	for	ADP
cuesj-118	96	10	determining	determine	VERB
cuesj-118	96	11	whether	whether	SCONJ
cuesj-118	96	12	the	the	DET
cuesj-118	96	13	person	person	NOUN
cuesj-118	96	14	in	in	ADP
cuesj-118	96	15	the	the	DET
cuesj-118	96	16	image	image	NOUN
cuesj-118	96	17	authorize	authorize	VERB
cuesj-118	96	18	to	to	PART
cuesj-118	96	19	access	access	NOUN
cuesj-118	96	20	or	or	CCONJ
cuesj-118	96	21	not	not	PART
cuesj-118	96	22	,	,	PUNCT
cuesj-118	96	23	while	while	SCONJ
cuesj-118	96	24	in	in	ADP
cuesj-118	96	25	the	the	DET
cuesj-118	96	26	second	second	ADJ
cuesj-118	96	27	stage	stage	NOUN
cuesj-118	96	28	,	,	PUNCT
cuesj-118	96	29	k	k	PROPN
cuesj-118	96	30	-	-	PUNCT
cuesj-118	96	31	nn	nn	PROPN
cuesj-118	96	32	is	be	AUX
cuesj-118	96	33	applied	apply	VERB
cuesj-118	96	34	to	to	PART
cuesj-118	96	35	find	find	VERB
cuesj-118	96	36	the	the	DET
cuesj-118	96	37	nears	near	NOUN
cuesj-118	96	38	image	image	NOUN
cuesj-118	96	39	of	of	ADP
cuesj-118	96	40	the	the	DET
cuesj-118	96	41	person	person	NOUN
cuesj-118	96	42	.	.	PUNCT
cuesj-118	97	1	classification	classification	NOUN
cuesj-118	97	2	using	use	VERB
cuesj-118	97	3	svm	svm	PROPN
cuesj-118	97	4	one	one	NUM
cuesj-118	97	5	famous	famous	ADJ
cuesj-118	97	6	approach	approach	NOUN
cuesj-118	97	7	that	that	PRON
cuesj-118	97	8	is	be	AUX
cuesj-118	97	9	occasionally	occasionally	ADV
cuesj-118	97	10	used	use	VERB
cuesj-118	97	11	for	for	ADP
cuesj-118	97	12	classification	classification	NOUN
cuesj-118	97	13	and	and	CCONJ
cuesj-118	97	14	regression	regression	NOUN
cuesj-118	97	15	applications	application	NOUN
cuesj-118	97	16	is	be	AUX
cuesj-118	97	17	svm	svm	ADJ
cuesj-118	97	18	.	.	PUNCT
cuesj-118	98	1	it	it	PRON
cuesj-118	98	2	is	be	AUX
cuesj-118	98	3	classified	classify	VERB
cuesj-118	98	4	as	as	ADP
cuesj-118	98	5	supervised	supervised	ADJ
cuesj-118	98	6	machine	machine	NOUN
cuesj-118	98	7	learning	learning	NOUN
cuesj-118	98	8	method	method	NOUN
cuesj-118	98	9	that	that	PRON
cuesj-118	98	10	is	be	AUX
cuesj-118	98	11	deeply	deeply	ADV
cuesj-118	98	12	inspired	inspire	VERB
cuesj-118	98	13	by	by	ADP
cuesj-118	98	14	statistical	statistical	ADJ
cuesj-118	98	15	learning	learning	NOUN
cuesj-118	98	16	theory	theory	NOUN
cuesj-118	98	17	and	and	CCONJ
cuesj-118	98	18	uses	use	VERB
cuesj-118	98	19	the	the	DET
cuesj-118	98	20	concept	concept	NOUN
cuesj-118	98	21	of	of	ADP
cuesj-118	98	22	finding	find	VERB
cuesj-118	98	23	the	the	DET
cuesj-118	98	24	optimal	optimal	ADJ
cuesj-118	98	25	hyperplane	hyperplane	NOUN
cuesj-118	98	26	for	for	ADP
cuesj-118	98	27	maximizing	maximize	VERB
cuesj-118	98	28	the	the	DET
cuesj-118	98	29	separation	separation	NOUN
cuesj-118	98	30	between	between	ADP
cuesj-118	98	31	classes.[8,20	classes.[8,20	NOUN
cuesj-118	98	32	]	]	X
cuesj-118	98	33	hyperplane	hyperplane	NOUN
cuesj-118	98	34	is	be	AUX
cuesj-118	98	35	realized	realize	VERB
cuesj-118	98	36	by	by	ADP
cuesj-118	98	37	computing	compute	VERB
cuesj-118	98	38	vectors	vector	NOUN
cuesj-118	98	39	obtained	obtain	VERB
cuesj-118	98	40	from	from	ADP
cuesj-118	98	41	training	train	VERB
cuesj-118	98	42	data	datum	NOUN
cuesj-118	98	43	named	name	VERB
cuesj-118	98	44	support	support	NOUN
cuesj-118	98	45	vectors	vector	NOUN
cuesj-118	98	46	.	.	PUNCT
cuesj-118	99	1	svm	svm	PROPN
cuesj-118	99	2	tries	try	VERB
cuesj-118	99	3	to	to	PART
cuesj-118	99	4	address	address	VERB
cuesj-118	99	5	the	the	DET
cuesj-118	99	6	constraint	constraint	NOUN
cuesj-118	99	7	optimization	optimization	NOUN
cuesj-118	99	8	issue	issue	NOUN
cuesj-118	99	9	below:[7	below:[7	PROPN
cuesj-118	99	10	]	]	PUNCT
cuesj-118	99	11	ω	ω	PUNCT
cuesj-118	99	12	ξ	ξ	X
cuesj-118	99	13	ξ	ξ	PROPN
cuesj-118	99	14	,	,	PUNCT
cuesj-118	99	15	,	,	PUNCT
cuesj-118	99	16	min	min	PROPN
cuesj-118	100	1	||	||	NOUN
cuesj-118	101	1	||	||	PUNCT
cuesj-118	102	1	i	i	PRON
cuesj-118	102	2	b	b	VERB
cuesj-118	103	1	i	i	PRON
cuesj-118	104	1	i	i	INTJ
cuesj-118	105	1	w	w	VERB
cuesj-118	105	2	c	c	NOUN
cuesj-118	105	3	1	1	NUM
cuesj-118	105	4	2	2	NUM
cuesj-118	105	5	2	2	NUM
cuesj-118	105	6	+	+	NOUN
cuesj-118	105	7			PROPN
cuesj-118	105	8			PRON
cuesj-118	105	9			NOUN
cuesj-118	105	10			PROPN
cuesj-118	105	11			PROPN
cuesj-118	105	12			NOUN
cuesj-118	105	13	∑	∑	ADP
cuesj-118	105	14	subject	subject	ADJ
cuesj-118	105	15	to	to	ADP
cuesj-118	105	16	:	:	PUNCT
cuesj-118	105	17	yi	yi	PROPN
cuesj-118	105	18	(	(	PUNCT
cuesj-118	105	19	<	<	X
cuesj-118	105	20	φ(xi	φ(xi	NUM
cuesj-118	105	21	)	)	PUNCT
cuesj-118	105	22	,	,	PUNCT
cuesj-118	105	23	w>+b	w>+b	PROPN
cuesj-118	105	24	)	)	PUNCT
cuesj-118	105	25	≥	≥	NOUN
cuesj-118	105	26	1−ξi	1−ξi	NUM
cuesj-118	105	27	∀i	∀i	X
cuesj-118	105	28	=	=	SYM
cuesj-118	105	29	1	1	NUM
cuesj-118	105	30	,	,	PUNCT
cuesj-118	105	31	…	…	PUNCT
cuesj-118	105	32	,	,	PUNCT
cuesj-118	105	33	n	n	PRON
cuesj-118	105	34	ξi	ξi	NOUN
cuesj-118	105	35	≥	≥	NOUN
cuesj-118	105	36	0	0	NUM
cuesj-118	105	37	∀i	∀i	NOUN
cuesj-118	105	38	=	=	SYM
cuesj-118	105	39	1	1	NUM
cuesj-118	105	40	,	,	PUNCT
cuesj-118	105	41	…	…	PUNCT
cuesj-118	105	42	,	,	PUNCT
cuesj-118	105	43	n.	n.	NOUN
cuesj-118	105	44	,	,	PUNCT
cuesj-118	105	45	from	from	ADP
cuesj-118	105	46	the	the	DET
cuesj-118	105	47	previous	previous	ADJ
cuesj-118	105	48	equation	equation	NOUN
cuesj-118	105	49	,	,	PUNCT
cuesj-118	105	50	w	w	PROPN
cuesj-118	105	51	represents	represent	VERB
cuesj-118	105	52	the	the	DET
cuesj-118	105	53	vector	vector	NOUN
cuesj-118	105	54	’s	’s	PART
cuesj-118	105	55	weight	weight	NOUN
cuesj-118	105	56	and	and	CCONJ
cuesj-118	105	57	b	b	NOUN
cuesj-118	105	58	indicates	indicate	VERB
cuesj-118	105	59	the	the	DET
cuesj-118	105	60	bias	bias	NOUN
cuesj-118	105	61	added	add	VERB
cuesj-118	105	62	to	to	PART
cuesj-118	105	63	find	find	VERB
cuesj-118	105	64	the	the	DET
cuesj-118	105	65	orthogonal	orthogonal	ADJ
cuesj-118	105	66	hyperplane	hyperplane	NOUN
cuesj-118	105	67	distance	distance	NOUN
cuesj-118	105	68	from	from	ADP
cuesj-118	105	69	the	the	DET
cuesj-118	105	70	origin	origin	NOUN
cuesj-118	105	71	point	point	NOUN
cuesj-118	105	72	.	.	PUNCT
cuesj-118	106	1	slack	slack	NOUN
cuesj-118	106	2	variables	variable	NOUN
cuesj-118	106	3	are	be	AUX
cuesj-118	106	4	expressed	express	VERB
cuesj-118	106	5	in	in	ADP
cuesj-118	106	6	εi	εi	NOUN
cuesj-118	106	7	in	in	ADP
cuesj-118	106	8	addition	addition	NOUN
cuesj-118	106	9	to	to	ADP
cuesj-118	106	10	a	a	DET
cuesj-118	106	11	user	user	NOUN
cuesj-118	106	12	-	-	PUNCT
cuesj-118	106	13	defined	define	VERB
cuesj-118	106	14	complexity	complexity	NOUN
cuesj-118	106	15	factor	factor	NOUN
cuesj-118	106	16	c.	c.	NOUN
cuesj-118	106	17	due	due	ADP
cuesj-118	106	18	to	to	ADP
cuesj-118	106	19	the	the	DET
cuesj-118	106	20	presence	presence	NOUN
cuesj-118	106	21	of	of	ADP
cuesj-118	106	22	slack	slack	NOUN
cuesj-118	106	23	variables	variable	NOUN
cuesj-118	106	24	,	,	PUNCT
cuesj-118	106	25	it	it	PRON
cuesj-118	106	26	is	be	AUX
cuesj-118	106	27	possible	possible	ADJ
cuesj-118	106	28	that	that	SCONJ
cuesj-118	106	29	some	some	DET
cuesj-118	106	30	instances	instance	NOUN
cuesj-118	106	31	will	will	AUX
cuesj-118	106	32	not	not	PART
cuesj-118	106	33	be	be	AUX
cuesj-118	106	34	present	present	ADJ
cuesj-118	106	35	on	on	ADP
cuesj-118	106	36	the	the	DET
cuesj-118	106	37	hyperplane	hyperplane	NOUN
cuesj-118	106	38	,	,	PUNCT
cuesj-118	106	39	leading	lead	VERB
cuesj-118	106	40	to	to	ADP
cuesj-118	106	41	classification	classification	NOUN
cuesj-118	106	42	errors	error	NOUN
cuesj-118	106	43	.	.	PUNCT
cuesj-118	107	1	following	follow	VERB
cuesj-118	107	2	the	the	DET
cuesj-118	107	3	existence	existence	NOUN
cuesj-118	107	4	of	of	ADP
cuesj-118	107	5	an	an	DET
cuesj-118	107	6	upper	upper	ADJ
cuesj-118	107	7	limit	limit	NOUN
cuesj-118	107	8	for	for	ADP
cuesj-118	107	9	the	the	DET
cuesj-118	107	10	co	co	X
cuesj-118	107	11	unt	unt	NOUN
cuesj-118	107	12	of	of	ADP
cuesj-118	107	13	misclassification	misclassification	NOUN
cuesj-118	107	14	measure	measure	NOUN
cuesj-118	107	15	,	,	PUNCT
cuesj-118	107	16	this	this	DET
cuesj-118	107	17	kind	kind	NOUN
cuesj-118	107	18	of	of	ADP
cuesj-118	107	19	svm	svm	PROPN
cuesj-118	107	20	is	be	AUX
cuesj-118	107	21	called	call	VERB
cuesj-118	107	22	a	a	DET
cuesj-118	107	23	soft	soft	ADJ
cuesj-118	107	24	margin	margin	NOUN
cuesj-118	107	25	classifier.[20	classifier.[20	NOUN
cuesj-118	107	26	]	]	PUNCT
cuesj-118	107	27	classification	classification	NOUN
cuesj-118	107	28	using	use	VERB
cuesj-118	107	29	k	k	PROPN
cuesj-118	107	30	-	-	PUNCT
cuesj-118	107	31	nn	nn	PROPN
cuesj-118	107	32	this	this	DET
cuesj-118	107	33	method	method	NOUN
cuesj-118	107	34	classifies	classify	VERB
cuesj-118	107	35	the	the	DET
cuesj-118	107	36	given	give	VERB
cuesj-118	107	37	attributes	attribute	NOUN
cuesj-118	107	38	using	use	VERB
cuesj-118	107	39	a	a	DET
cuesj-118	107	40	set	set	NOUN
cuesj-118	107	41	of	of	ADP
cuesj-118	107	42	features	feature	NOUN
cuesj-118	107	43	obtained	obtain	VERB
cuesj-118	107	44	from	from	ADP
cuesj-118	107	45	the	the	DET
cuesj-118	107	46	training	training	NOUN
cuesj-118	107	47	database	database	NOUN
cuesj-118	107	48	examples	example	NOUN
cuesj-118	107	49	.	.	PUNCT
cuesj-118	108	1	it	it	PRON
cuesj-118	108	2	can	can	AUX
cuesj-118	108	3	be	be	AUX
cuesj-118	108	4	implemented	implement	VERB
cuesj-118	108	5	by	by	ADP
cuesj-118	108	6	calculating	calculate	VERB
cuesj-118	108	7	the	the	DET
cuesj-118	108	8	distance	distance	NOUN
cuesj-118	108	9	between	between	ADP
cuesj-118	108	10	the	the	DET
cuesj-118	108	11	trained	train	VERB
cuesj-118	108	12	vectors	vector	NOUN
cuesj-118	108	13	obtained	obtain	VERB
cuesj-118	108	14	from	from	ADP
cuesj-118	108	15	the	the	DET
cuesj-118	108	16	previous	previous	ADJ
cuesj-118	108	17	steps	step	NOUN
cuesj-118	108	18	with	with	ADP
cuesj-118	108	19	the	the	DET
cuesj-118	108	20	input	input	NOUN
cuesj-118	108	21	partial	partial	ADJ
cuesj-118	108	22	face	face	NOUN
cuesj-118	108	23	image	image	NOUN
cuesj-118	108	24	to	to	PART
cuesj-118	108	25	obtain	obtain	VERB
cuesj-118	108	26	the	the	DET
cuesj-118	108	27	relevance	relevance	NOUN
cuesj-118	108	28	with	with	ADP
cuesj-118	108	29	each	each	PRON
cuesj-118	108	30	of	of	ADP
cuesj-118	108	31	the	the	DET
cuesj-118	108	32	available	available	ADJ
cuesj-118	108	33	classes	class	NOUN
cuesj-118	108	34	.	.	PUNCT
cuesj-118	109	1	using	use	VERB
cuesj-118	109	2	the	the	DET
cuesj-118	109	3	euclidean	euclidean	ADJ
cuesj-118	109	4	rule,[13	rule,[13	PROPN
cuesj-118	109	5	]	]	PUNCT
cuesj-118	109	6	the	the	DET
cuesj-118	109	7	algorithm	algorithm	NOUN
cuesj-118	109	8	tries	try	VERB
cuesj-118	109	9	to	to	PART
cuesj-118	109	10	determine	determine	VERB
cuesj-118	109	11	how	how	SCONJ
cuesj-118	109	12	much	much	ADJ
cuesj-118	109	13	is	be	AUX
cuesj-118	109	14	the	the	DET
cuesj-118	109	15	similarity	similarity	NOUN
cuesj-118	109	16	between	between	ADP
cuesj-118	109	17	the	the	DET
cuesj-118	109	18	input	input	NOUN
cuesj-118	109	19	face	face	VERB
cuesj-118	109	20	images	image	NOUN
cuesj-118	109	21	with	with	ADP
cuesj-118	109	22	the	the	DET
cuesj-118	109	23	set	set	NOUN
cuesj-118	109	24	of	of	ADP
cuesj-118	109	25	training	training	NOUN
cuesj-118	109	26	data.[12	data.[12	NOUN
cuesj-118	109	27	]	]	X
cuesj-118	109	28	euclidian	euclidian	ADJ
cuesj-118	109	29	rule	rule	NOUN
cuesj-118	109	30	is	be	AUX
cuesj-118	109	31	used	use	VERB
cuesj-118	109	32	to	to	PART
cuesj-118	109	33	determine	determine	VERB
cuesj-118	109	34	the	the	DET
cuesj-118	109	35	distance	distance	NOUN
cuesj-118	109	36	between	between	ADP
cuesj-118	109	37	two	two	NUM
cuesj-118	109	38	vectors	vector	NOUN
cuesj-118	109	39	,	,	PUNCT
cuesj-118	109	40	x	x	SYM
cuesj-118	109	41	=	=	SYM
cuesj-118	109	42	(	(	PUNCT
cuesj-118	109	43	x1	x1	PROPN
cuesj-118	109	44	,	,	PUNCT
cuesj-118	109	45	x2	x2	PROPN
cuesj-118	109	46	..	..	PUNCT
cuesj-118	109	47	,	,	PUNCT
cuesj-118	109	48	,	,	PUNCT
cuesj-118	109	49	xn	xn	PROPN
cuesj-118	109	50	)	)	PUNCT
cuesj-118	109	51	and	and	CCONJ
cuesj-118	109	52	y	y	PROPN
cuesj-118	109	53	=	=	SYM
cuesj-118	109	54	(	(	PUNCT
cuesj-118	109	55	y1	y1	PROPN
cuesj-118	109	56	,	,	PUNCT
cuesj-118	109	57	y2	y2	PROPN
cuesj-118	109	58	..	..	PUNCT
cuesj-118	109	59	,	,	PUNCT
cuesj-118	109	60	,	,	PUNCT
cuesj-118	109	61	yn	yn	PROPN
cuesj-118	109	62	)	)	PUNCT
cuesj-118	109	63	as	as	ADP
cuesj-118	109	64	the	the	PRON
cuesj-118	109	65	following:[14	following:[14	PROPN
cuesj-118	109	66	]	]	X
cuesj-118	109	67	d	d	X
cuesj-118	109	68	x	x	SYM
cuesj-118	109	69	y	y	PROPN
cuesj-118	109	70	x	x	X
cuesj-118	109	71	yii	yii	PROPN
cuesj-118	109	72	n	n	PROPN
cuesj-118	109	73	i	i	PROPN
cuesj-118	109	74	(	(	PUNCT
cuesj-118	109	75	,	,	PUNCT
cuesj-118	109	76	)	)	PUNCT
cuesj-118	109	77	(	(	PUNCT
cuesj-118	109	78	)	)	PUNCT
cuesj-118	109	79	=	=	SYM
cuesj-118	110	1	=	=	NOUN
cuesj-118	110	2	∑	∑	NOUN
cuesj-118	110	3	−	−	PROPN
cuesj-118	110	4	1	1	NUM
cuesj-118	110	5	2	2	NUM
cuesj-118	110	6	depending	depend	VERB
cuesj-118	110	7	on	on	ADP
cuesj-118	110	8	the	the	DET
cuesj-118	110	9	equation	equation	NOUN
cuesj-118	110	10	above	above	ADV
cuesj-118	110	11	,	,	PUNCT
cuesj-118	110	12	the	the	DET
cuesj-118	110	13	minimum	minimum	ADJ
cuesj-118	110	14	difference	difference	NOUN
cuesj-118	110	15	is	be	AUX
cuesj-118	110	16	calculated	calculate	VERB
cuesj-118	110	17	,	,	PUNCT
cuesj-118	110	18	then	then	ADV
cuesj-118	110	19	the	the	DET
cuesj-118	110	20	input	input	NOUN
cuesj-118	110	21	facial	facial	ADJ
cuesj-118	110	22	image	image	NOUN
cuesj-118	110	23	is	be	AUX
cuesj-118	110	24	given	give	VERB
cuesj-118	110	25	the	the	DET
cuesj-118	110	26	label	label	NOUN
cuesj-118	110	27	of	of	ADP
cuesj-118	110	28	nn	nn	PROPN
cuesj-118	110	29	class	class	NOUN
cuesj-118	110	30	.	.	PUNCT
cuesj-118	111	1	al	al	PROPN
cuesj-118	111	2	-	-	PUNCT
cuesj-118	111	3	dabagh	dabagh	PROPN
cuesj-118	111	4	,	,	PUNCT
cuesj-118	111	5	et	et	PROPN
cuesj-118	111	6	al	al	PROPN
cuesj-118	111	7	.	.	PROPN
cuesj-118	111	8	:	:	PUNCT
cuesj-118	111	9	exploiting	exploit	VERB
cuesj-118	111	10	wavelet	wavelet	NOUN
cuesj-118	111	11	transform	transform	NOUN
cuesj-118	111	12	,	,	PUNCT
cuesj-118	111	13	pca	pca	PROPN
cuesj-118	111	14	,	,	PUNCT
cuesj-118	111	15	svm	svm	NOUN
cuesj-118	111	16	and	and	CCONJ
cuesj-118	111	17	k	k	PROPN
cuesj-118	111	18	-	-	PUNCT
cuesj-118	111	19	nn	nn	PROPN
cuesj-118	111	20	for	for	ADP
cuesj-118	111	21	partial	partial	ADJ
cuesj-118	111	22	face	face	NOUN
cuesj-118	111	23	recognition	recognition	NOUN
cuesj-118	111	24	83	83	NUM
cuesj-118	111	25	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-118	111	26	cuesj	cuesj	NOUN
cuesj-118	111	27	2019	2019	NUM
cuesj-118	111	28	,	,	PUNCT
cuesj-118	111	29	3	3	NUM
cuesj-118	111	30	(	(	PUNCT
cuesj-118	111	31	2	2	NUM
cuesj-118	111	32	):	):	PUNCT
cuesj-118	111	33	80	80	NUM
cuesj-118	111	34	-	-	SYM
cuesj-118	111	35	84	84	NUM
cuesj-118	111	36	implementation	implementation	NOUN
cuesj-118	111	37	and	and	CCONJ
cuesj-118	111	38	results	result	VERB
cuesj-118	111	39	the	the	DET
cuesj-118	111	40	algorithm	algorithm	NOUN
cuesj-118	111	41	presented	present	VERB
cuesj-118	111	42	in	in	ADP
cuesj-118	111	43	this	this	DET
cuesj-118	111	44	paper	paper	NOUN
cuesj-118	111	45	is	be	AUX
cuesj-118	111	46	tested	test	VERB
cuesj-118	111	47	versus	versus	ADP
cuesj-118	111	48	the	the	DET
cuesj-118	111	49	well	well	ADV
cuesj-118	111	50	-	-	PUNCT
cuesj-118	111	51	known	know	VERB
cuesj-118	111	52	(	(	PUNCT
cuesj-118	111	53	yale	yale	PROPN
cuesj-118	111	54	)	)	PUNCT
cuesj-118	111	55	face	face	NOUN
cuesj-118	111	56	database	database	NOUN
cuesj-118	111	57	,	,	PUNCT
cuesj-118	111	58	which	which	PRON
cuesj-118	111	59	is	be	AUX
cuesj-118	111	60	used	use	VERB
cuesj-118	111	61	as	as	ADP
cuesj-118	111	62	a	a	DET
cuesj-118	111	63	training	training	NOUN
cuesj-118	111	64	database	database	NOUN
cuesj-118	111	65	to	to	PART
cuesj-118	111	66	train	train	VERB
cuesj-118	111	67	the	the	DET
cuesj-118	111	68	recognition	recognition	NOUN
cuesj-118	111	69	system	system	NOUN
cuesj-118	111	70	against	against	ADP
cuesj-118	111	71	the	the	DET
cuesj-118	111	72	input	input	NOUN
cuesj-118	111	73	image	image	NOUN
cuesj-118	111	74	to	to	PART
cuesj-118	111	75	find	find	VERB
cuesj-118	111	76	the	the	DET
cuesj-118	111	77	extent	extent	NOUN
cuesj-118	111	78	of	of	ADP
cuesj-118	111	79	similarity	similarity	NOUN
cuesj-118	111	80	and	and	CCONJ
cuesj-118	111	81	to	to	PART
cuesj-118	111	82	recognize	recognize	VERB
cuesj-118	111	83	the	the	DET
cuesj-118	111	84	image	image	NOUN
cuesj-118	111	85	as	as	ADP
cuesj-118	111	86	one	one	NUM
cuesj-118	111	87	of	of	ADP
cuesj-118	111	88	the	the	DET
cuesj-118	111	89	face	face	NOUN
cuesj-118	111	90	classes	class	NOUN
cuesj-118	111	91	available	available	ADJ
cuesj-118	111	92	in	in	ADP
cuesj-118	111	93	the	the	DET
cuesj-118	111	94	dataset	dataset	NOUN
cuesj-118	111	95	.	.	PUNCT
cuesj-118	112	1	the	the	DET
cuesj-118	112	2	yale	yale	PROPN
cuesj-118	112	3	face	face	VERB
cuesj-118	112	4	image	image	NOUN
cuesj-118	112	5	database	database	NOUN
cuesj-118	112	6	includes	include	VERB
cuesj-118	112	7	intensity	intensity	NOUN
cuesj-118	112	8	images	image	NOUN
cuesj-118	112	9	of	of	ADP
cuesj-118	112	10	15	15	NUM
cuesj-118	112	11	persons	person	NOUN
cuesj-118	112	12	stored	store	VERB
cuesj-118	112	13	as	as	ADP
cuesj-118	112	14	gifs	gifs	PROPN
cuesj-118	112	15	;	;	PUNCT
cuesj-118	112	16	each	each	DET
cuesj-118	112	17	person	person	NOUN
cuesj-118	112	18	has	have	VERB
cuesj-118	112	19	11	11	NUM
cuesj-118	112	20	images	image	NOUN
cuesj-118	112	21	to	to	PART
cuesj-118	112	22	present	present	VERB
cuesj-118	112	23	one	one	NUM
cuesj-118	112	24	facial	facial	ADJ
cuesj-118	112	25	expression	expression	NOUN
cuesj-118	112	26	or	or	CCONJ
cuesj-118	112	27	pattern	pattern	NOUN
cuesj-118	112	28	.	.	PUNCT
cuesj-118	113	1	the	the	DET
cuesj-118	113	2	patterns	pattern	NOUN
cuesj-118	113	3	are	be	AUX
cuesj-118	113	4	normal	normal	ADJ
cuesj-118	113	5	,	,	PUNCT
cuesj-118	113	6	happy	happy	ADJ
cuesj-118	113	7	,	,	PUNCT
cuesj-118	113	8	sad	sad	ADJ
cuesj-118	113	9	,	,	PUNCT
cuesj-118	113	10	sleepy	sleepy	ADJ
cuesj-118	113	11	,	,	PUNCT
cuesj-118	113	12	surprised	surprised	ADJ
cuesj-118	113	13	,	,	PUNCT
cuesj-118	113	14	wink	wink	NOUN
cuesj-118	113	15	,	,	PUNCT
cuesj-118	113	16	center	center	NOUN
cuesj-118	113	17	-	-	PUNCT
cuesj-118	113	18	light	light	ADJ
cuesj-118	113	19	,	,	PUNCT
cuesj-118	113	20	left	left	ADJ
cuesj-118	113	21	-	-	PUNCT
cuesj-118	113	22	light	light	NOUN
cuesj-118	113	23	,	,	PUNCT
cuesj-118	113	24	write	write	NOUN
cuesj-118	113	25	-	-	PUNCT
cuesj-118	113	26	light	light	NOUN
cuesj-118	113	27	,	,	PUNCT
cuesj-118	113	28	with	with	ADP
cuesj-118	113	29	glasses	glass	NOUN
cuesj-118	113	30	,	,	PUNCT
cuesj-118	113	31	and	and	CCONJ
cuesj-118	113	32	with	with	ADP
cuesj-118	113	33	no	no	DET
cuesj-118	113	34	glasses	glass	NOUN
cuesj-118	113	35	,	,	PUNCT
cuesj-118	113	36	thus	thus	ADV
cuesj-118	113	37	yielding	yield	VERB
cuesj-118	113	38	165	165	NUM
cuesj-118	113	39	images	image	NOUN
cuesj-118	113	40	.	.	PUNCT
cuesj-118	114	1	for	for	ADP
cuesj-118	114	2	training	training	NOUN
cuesj-118	114	3	,	,	PUNCT
cuesj-118	114	4	60	60	NUM
cuesj-118	114	5	images	image	NOUN
cuesj-118	114	6	are	be	AUX
cuesj-118	114	7	utilized	utilize	VERB
cuesj-118	114	8	,	,	PUNCT
cuesj-118	114	9	leaving	leave	VERB
cuesj-118	114	10	the	the	DET
cuesj-118	114	11	rest	rest	NOUN
cuesj-118	114	12	of	of	ADP
cuesj-118	114	13	105	105	NUM
cuesj-118	114	14	to	to	PART
cuesj-118	114	15	be	be	AUX
cuesj-118	114	16	applied	apply	VERB
cuesj-118	114	17	for	for	ADP
cuesj-118	114	18	testing	testing	NOUN
cuesj-118	114	19	.	.	PUNCT
cuesj-118	115	1	the	the	DET
cuesj-118	115	2	graphical	graphical	ADJ
cuesj-118	115	3	user	user	NOUN
cuesj-118	115	4	interface	interface	NOUN
cuesj-118	115	5	designed	design	VERB
cuesj-118	115	6	for	for	ADP
cuesj-118	115	7	the	the	DET
cuesj-118	115	8	system	system	NOUN
cuesj-118	115	9	is	be	AUX
cuesj-118	115	10	displayed	display	VERB
cuesj-118	115	11	below	below	ADP
cuesj-118	115	12	in	in	ADP
cuesj-118	115	13	two	two	NUM
cuesj-118	115	14	cases	case	NOUN
cuesj-118	115	15	,	,	PUNCT
cuesj-118	115	16	one	one	NUM
cuesj-118	115	17	for	for	ADP
cuesj-118	115	18	authorized	authorized	ADJ
cuesj-118	115	19	face	face	NOUN
cuesj-118	115	20	image	image	NOUN
cuesj-118	115	21	and	and	CCONJ
cuesj-118	115	22	the	the	DET
cuesj-118	115	23	other	other	ADJ
cuesj-118	115	24	for	for	ADP
cuesj-118	115	25	an	an	DET
cuesj-118	115	26	unauthorized	unauthorized	ADJ
cuesj-118	115	27	image	image	NOUN
cuesj-118	115	28	.	.	PUNCT
cuesj-118	116	1	among	among	ADP
cuesj-118	116	2	the	the	DET
cuesj-118	116	3	105	105	NUM
cuesj-118	116	4	images	image	NOUN
cuesj-118	116	5	used	use	VERB
cuesj-118	116	6	for	for	ADP
cuesj-118	116	7	testing	testing	NOUN
cuesj-118	116	8	,	,	PUNCT
cuesj-118	116	9	the	the	DET
cuesj-118	116	10	system	system	NOUN
cuesj-118	116	11	resulted	result	VERB
cuesj-118	116	12	in	in	ADP
cuesj-118	116	13	the	the	DET
cuesj-118	116	14	following	follow	VERB
cuesj-118	116	15	parameters	parameter	NOUN
cuesj-118	116	16	:	:	PUNCT
cuesj-118	116	17	•	•	NUM
cuesj-118	116	18	authorized	authorize	VERB
cuesj-118	116	19	personnel	personnel	NOUN
cuesj-118	116	20	who	who	PRON
cuesj-118	116	21	are	be	AUX
cuesj-118	116	22	correctly	correctly	ADV
cuesj-118	116	23	accepted	accept	VERB
cuesj-118	116	24	(	(	PUNCT
cuesj-118	116	25	true	true	ADJ
cuesj-118	116	26	positive	positive	ADJ
cuesj-118	116	27	or	or	CCONJ
cuesj-118	116	28	tp)=35	tp)=35	PRON
cuesj-118	116	29	figure	figure	NOUN
cuesj-118	116	30	2	2	NUM
cuesj-118	116	31	:	:	PUNCT
cuesj-118	116	32	graphical	graphical	ADJ
cuesj-118	116	33	user	user	NOUN
cuesj-118	116	34	interface	interface	NOUN
cuesj-118	116	35	of	of	ADP
cuesj-118	116	36	the	the	DET
cuesj-118	116	37	proposed	propose	VERB
cuesj-118	116	38	system	system	NOUN
cuesj-118	116	39	(	(	PUNCT
cuesj-118	116	40	accepted	accept	VERB
cuesj-118	116	41	image	image	NOUN
cuesj-118	116	42	)	)	PUNCT
cuesj-118	116	43	figure	figure	NOUN
cuesj-118	116	44	3	3	NUM
cuesj-118	116	45	:	:	PUNCT
cuesj-118	116	46	graphical	graphical	ADJ
cuesj-118	116	47	user	user	NOUN
cuesj-118	116	48	interface	interface	NOUN
cuesj-118	116	49	of	of	ADP
cuesj-118	116	50	the	the	DET
cuesj-118	116	51	proposed	propose	VERB
cuesj-118	116	52	system	system	NOUN
cuesj-118	116	53	(	(	PUNCT
cuesj-118	116	54	declined	decline	VERB
cuesj-118	116	55	image	image	NOUN
cuesj-118	116	56	)	)	PUNCT
cuesj-118	116	57	al	al	PROPN
cuesj-118	116	58	-	-	PUNCT
cuesj-118	116	59	dabagh	dabagh	PROPN
cuesj-118	116	60	,	,	PUNCT
cuesj-118	116	61	et	et	PROPN
cuesj-118	116	62	al	al	PROPN
cuesj-118	116	63	.	.	PROPN
cuesj-118	116	64	:	:	PUNCT
cuesj-118	116	65	exploiting	exploit	VERB
cuesj-118	116	66	wavelet	wavelet	NOUN
cuesj-118	116	67	transform	transform	NOUN
cuesj-118	116	68	,	,	PUNCT
cuesj-118	116	69	pca	pca	PROPN
cuesj-118	116	70	,	,	PUNCT
cuesj-118	116	71	svm	svm	NOUN
cuesj-118	116	72	and	and	CCONJ
cuesj-118	116	73	k	k	PROPN
cuesj-118	116	74	-	-	PUNCT
cuesj-118	116	75	nn	nn	PROPN
cuesj-118	116	76	for	for	ADP
cuesj-118	116	77	partial	partial	ADJ
cuesj-118	116	78	face	face	NOUN
cuesj-118	116	79	recognition	recognition	NOUN
cuesj-118	116	80	84	84	NUM
cuesj-118	116	81	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-118	116	82	cuesj	cuesj	NOUN
cuesj-118	116	83	2019	2019	NUM
cuesj-118	116	84	,	,	PUNCT
cuesj-118	116	85	3	3	NUM
cuesj-118	116	86	(	(	PUNCT
cuesj-118	116	87	2	2	NUM
cuesj-118	116	88	):	):	PUNCT
cuesj-118	116	89	80	80	NUM
cuesj-118	116	90	-	-	SYM
cuesj-118	116	91	84	84	NUM
cuesj-118	116	92	•	•	NUM
cuesj-118	116	93	unauthorized	unauthorized	ADJ
cuesj-118	116	94	personnel	personnel	NOUN
cuesj-118	116	95	who	who	PRON
cuesj-118	116	96	are	be	AUX
cuesj-118	116	97	correctly	correctly	ADV
cuesj-118	116	98	rejected	reject	VERB
cuesj-118	116	99	(	(	PUNCT
cuesj-118	116	100	true	true	ADJ
cuesj-118	116	101	negative	negative	ADJ
cuesj-118	116	102	or	or	CCONJ
cuesj-118	116	103	tn)=65	tn)=65	ADV
cuesj-118	117	1	•	•	NUM
cuesj-118	117	2	authorized	authorize	VERB
cuesj-118	117	3	personnel	personnel	NOUN
cuesj-118	117	4	who	who	PRON
cuesj-118	117	5	are	be	AUX
cuesj-118	117	6	incorrectly	incorrectly	ADV
cuesj-118	117	7	rejected	reject	VERB
cuesj-118	117	8	(	(	PUNCT
cuesj-118	117	9	false	false	ADJ
cuesj-118	117	10	positive	positive	ADJ
cuesj-118	117	11	or	or	CCONJ
cuesj-118	117	12	fp)=1	fp)=1	ADV
cuesj-118	117	13	•	•	NUM
cuesj-118	117	14	unauthorized	unauthorized	ADJ
cuesj-118	117	15	personnel	personnel	NOUN
cuesj-118	117	16	who	who	PRON
cuesj-118	117	17	are	be	AUX
cuesj-118	117	18	incorrectly	incorrectly	ADV
cuesj-118	117	19	accepted	accept	VERB
cuesj-118	117	20	(	(	PUNCT
cuesj-118	117	21	true	true	ADJ
cuesj-118	117	22	negative	negative	ADJ
cuesj-118	117	23	or	or	CCONJ
cuesj-118	117	24	fn)=35	fn)=35	NOUN
cuesj-118	117	25	.	.	NOUN
cuesj-118	118	1	due	due	ADP
cuesj-118	118	2	to	to	ADP
cuesj-118	118	3	the	the	DET
cuesj-118	118	4	statistics	statistic	NOUN
cuesj-118	118	5	above	above	ADV
cuesj-118	118	6	,	,	PUNCT
cuesj-118	118	7	accuracy	accuracy	NOUN
cuesj-118	118	8	can	can	AUX
cuesj-118	118	9	be	be	AUX
cuesj-118	118	10	calculated	calculate	VERB
cuesj-118	118	11	as	as	SCONJ
cuesj-118	118	12	follows	follow	VERB
cuesj-118	118	13	:	:	PUNCT
cuesj-118	118	14	accuracy	accuracy	NOUN
cuesj-118	118	15	tp	tp	ADP
cuesj-118	118	16	tn	tn	PROPN
cuesj-118	118	17	tp	tp	ADP
cuesj-118	118	18	tn	tn	PROPN
cuesj-118	119	1	fp	fp	PROPN
cuesj-118	119	2	fn	fn	NOUN
cuesj-118	119	3	=	=	PUNCT
cuesj-118	120	1	+	+	PROPN
cuesj-118	120	2	+	+	PUNCT
cuesj-118	120	3	+	+	PUNCT
cuesj-118	120	4	+	+	PUNCT
cuesj-118	120	5	=	=	X
cuesj-118	121	1	+	+	PUNCT
cuesj-118	121	2	+	+	PUNCT
cuesj-118	122	1	+	+	PUNCT
cuesj-118	122	2	+	+	CCONJ
cuesj-118	122	3	=	=	SYM
cuesj-118	122	4	+	+	ADJ
cuesj-118	122	5	�	�	PROPN
cuesj-118	122	6	*	*	PUNCT
cuesj-118	122	7	%	%	NOUN
cuesj-118	122	8	�	�	INTJ
cuesj-118	122	9	*	*	PUNCT
cuesj-118	122	10	%	%	NOUN
cuesj-118	122	11	100	100	NUM
cuesj-118	122	12	35	35	NUM
cuesj-118	122	13	65	65	NUM
cuesj-118	122	14	35	35	NUM
cuesj-118	122	15	65	65	NUM
cuesj-118	122	16	4	4	NUM
cuesj-118	122	17	1	1	NUM
cuesj-118	122	18	100	100	NUM
cuesj-118	122	19	35	35	NUM
cuesj-118	122	20	65	65	NUM
cuesj-118	122	21	335	335	NUM
cuesj-118	122	22	65	65	NUM
cuesj-118	122	23	1	1	NUM
cuesj-118	122	24	4	4	NUM
cuesj-118	122	25	100	100	NUM
cuesj-118	122	26	95	95	NUM
cuesj-118	122	27	238	238	NUM
cuesj-118	123	1	+	+	CCONJ
cuesj-118	123	2	+	+	PUNCT
cuesj-118	123	3	+	+	CCONJ
cuesj-118	123	4	=	=	NOUN
cuesj-118	123	5	*	*	ADJ
cuesj-118	123	6	%	%	NOUN
cuesj-118	123	7	.	.	PUNCT
cuesj-118	124	1	%	%	INTJ
cuesj-118	124	2	.	.	PUNCT
cuesj-118	125	1	therefore	therefore	ADV
cuesj-118	125	2	,	,	PUNCT
cuesj-118	125	3	the	the	DET
cuesj-118	125	4	given	give	VERB
cuesj-118	125	5	system	system	NOUN
cuesj-118	125	6	can	can	AUX
cuesj-118	125	7	reach	reach	VERB
cuesj-118	125	8	classification	classification	NOUN
cuesj-118	125	9	accuracy	accuracy	NOUN
cuesj-118	125	10	of	of	ADP
cuesj-118	125	11	95.238	95.238	NUM
cuesj-118	125	12	%	%	NOUN
cuesj-118	125	13	.	.	PUNCT
cuesj-118	126	1	conclusions	conclusion	NOUN
cuesj-118	126	2	in	in	ADP
cuesj-118	126	3	this	this	DET
cuesj-118	126	4	paper	paper	NOUN
cuesj-118	126	5	,	,	PUNCT
cuesj-118	126	6	an	an	DET
cuesj-118	126	7	image	image	NOUN
cuesj-118	126	8	processing	processing	NOUN
cuesj-118	126	9	system	system	NOUN
cuesj-118	126	10	is	be	AUX
cuesj-118	126	11	built	build	VERB
cuesj-118	126	12	for	for	ADP
cuesj-118	126	13	partial	partial	ADJ
cuesj-118	126	14	face	face	NOUN
cuesj-118	126	15	recognition	recognition	NOUN
cuesj-118	126	16	.	.	PUNCT
cuesj-118	127	1	it	it	PRON
cuesj-118	127	2	relies	rely	VERB
cuesj-118	127	3	on	on	ADP
cuesj-118	127	4	various	various	ADJ
cuesj-118	127	5	techniques	technique	NOUN
cuesj-118	127	6	for	for	ADP
cuesj-118	127	7	preprocessing	preprocessing	NOUN
cuesj-118	127	8	,	,	PUNCT
cuesj-118	127	9	feature	feature	NOUN
cuesj-118	127	10	extraction	extraction	NOUN
cuesj-118	127	11	and	and	CCONJ
cuesj-118	127	12	selection	selection	NOUN
cuesj-118	127	13	,	,	PUNCT
cuesj-118	127	14	and	and	CCONJ
cuesj-118	127	15	classification	classification	NOUN
cuesj-118	127	16	.	.	PUNCT
cuesj-118	128	1	it	it	PRON
cuesj-118	128	2	is	be	AUX
cuesj-118	128	3	inferred	infer	VERB
cuesj-118	128	4	that	that	SCONJ
cuesj-118	128	5	the	the	DET
cuesj-118	128	6	system	system	NOUN
cuesj-118	128	7	is	be	AUX
cuesj-118	128	8	able	able	ADJ
cuesj-118	128	9	to	to	PART
cuesj-118	128	10	recognize	recognize	VERB
cuesj-118	128	11	the	the	DET
cuesj-118	128	12	faces	face	NOUN
cuesj-118	128	13	of	of	ADP
cuesj-118	128	14	the	the	DET
cuesj-118	128	15	dataset	dataset	NOUN
cuesj-118	128	16	in	in	ADP
cuesj-118	128	17	different	different	ADJ
cuesj-118	128	18	expressions	expression	NOUN
cuesj-118	128	19	and	and	CCONJ
cuesj-118	128	20	light	light	ADJ
cuesj-118	128	21	source	source	NOUN
cuesj-118	128	22	position	position	NOUN
cuesj-118	128	23	and	and	CCONJ
cuesj-118	128	24	intensity	intensity	NOUN
cuesj-118	128	25	.	.	PUNCT
cuesj-118	129	1	it	it	PRON
cuesj-118	129	2	is	be	AUX
cuesj-118	129	3	also	also	ADV
cuesj-118	129	4	noticed	notice	VERB
cuesj-118	129	5	that	that	SCONJ
cuesj-118	129	6	the	the	DET
cuesj-118	129	7	system	system	NOUN
cuesj-118	129	8	outperforms	outperform	VERB
cuesj-118	129	9	other	other	ADJ
cuesj-118	129	10	methods	method	NOUN
cuesj-118	129	11	in	in	ADP
cuesj-118	129	12	the	the	DET
cuesj-118	129	13	field	field	NOUN
cuesj-118	129	14	by	by	ADP
cuesj-118	129	15	giving	give	VERB
cuesj-118	129	16	higher	high	ADJ
cuesj-118	129	17	accuracy	accuracy	NOUN
cuesj-118	129	18	rate	rate	NOUN
cuesj-118	129	19	with	with	ADP
cuesj-118	129	20	lower	low	ADJ
cuesj-118	129	21	misinterpretation	misinterpretation	NOUN
cuesj-118	129	22	percentage	percentage	NOUN
cuesj-118	129	23	.	.	PUNCT
cuesj-118	130	1	however	however	ADV
cuesj-118	130	2	,	,	PUNCT
cuesj-118	130	3	the	the	DET
cuesj-118	130	4	system	system	NOUN
cuesj-118	130	5	is	be	AUX
cuesj-118	130	6	expected	expect	VERB
cuesj-118	130	7	to	to	PART
cuesj-118	130	8	achieve	achieve	VERB
cuesj-118	130	9	higher	high	ADJ
cuesj-118	130	10	accuracy	accuracy	NOUN
cuesj-118	130	11	rates	rate	NOUN
cuesj-118	130	12	by	by	ADP
cuesj-118	130	13	enhancing	enhance	VERB
cuesj-118	130	14	the	the	DET
cuesj-118	130	15	approaches	approach	NOUN
cuesj-118	130	16	currently	currently	ADV
cuesj-118	130	17	in	in	ADP
cuesj-118	130	18	use	use	NOUN
cuesj-118	130	19	,	,	PUNCT
cuesj-118	130	20	such	such	ADJ
cuesj-118	130	21	as	as	ADP
cuesj-118	130	22	applying	apply	VERB
cuesj-118	130	23	adaptive	adaptive	ADJ
cuesj-118	130	24	median	median	ADJ
cuesj-118	130	25	filtering	filtering	NOUN
cuesj-118	130	26	or	or	CCONJ
cuesj-118	130	27	using	use	VERB
cuesj-118	130	28	one	one	NUM
cuesj-118	130	29	of	of	ADP
cuesj-118	130	30	the	the	DET
cuesj-118	130	31	available	available	ADJ
cuesj-118	130	32	clustering	clustering	NOUN
cuesj-118	130	33	techniques	technique	NOUN
cuesj-118	130	34	before	before	ADP
cuesj-118	130	35	classification	classification	NOUN
cuesj-118	130	36	.	.	PUNCT
cuesj-118	131	1	references	reference	NOUN
cuesj-118	131	2	1	1	NUM
cuesj-118	131	3	.	.	PUNCT
cuesj-118	132	1	p.	p.	NOUN
cuesj-118	132	2	hu	hu	PROPN
cuesj-118	132	3	,	,	PUNCT
cuesj-118	132	4	h.	h.	PROPN
cuesj-118	132	5	ning	ning	PROPN
cuesj-118	132	6	,	,	PUNCT
cuesj-118	132	7	t.	t.	PROPN
cuesj-118	132	8	qiu	qiu	PROPN
cuesj-118	132	9	,	,	PUNCT
cuesj-118	132	10	y.	y.	PROPN
cuesj-118	132	11	xu	xu	PROPN
cuesj-118	132	12	,	,	PUNCT
cuesj-118	132	13	x.	x.	PROPN
cuesj-118	132	14	luo	luo	PROPN
cuesj-118	132	15	and	and	CCONJ
cuesj-118	132	16	a.	a.	NOUN
cuesj-118	132	17	sangaiah	sangaiah	PROPN
cuesj-118	132	18	.	.	PUNCT
cuesj-118	133	1	“	"	PUNCT
cuesj-118	133	2	unified	unified	ADJ
cuesj-118	133	3	face	face	NOUN
cuesj-118	133	4	identification	identification	NOUN
cuesj-118	133	5	and	and	CCONJ
cuesj-118	133	6	resolution	resolution	NOUN
cuesj-118	133	7	scheme	scheme	NOUN
cuesj-118	133	8	using	use	VERB
cuesj-118	133	9	cloud	cloud	NOUN
cuesj-118	133	10	computing	computing	NOUN
cuesj-118	133	11	in	in	ADP
cuesj-118	133	12	internet	internet	NOUN
cuesj-118	133	13	of	of	ADP
cuesj-118	133	14	things	thing	NOUN
cuesj-118	133	15	”	"	PUNCT
cuesj-118	133	16	.	.	PUNCT
cuesj-118	134	1	future	future	ADJ
cuesj-118	134	2	generation	generation	NOUN
cuesj-118	134	3	computer	computer	NOUN
cuesj-118	134	4	systems	system	NOUN
cuesj-118	134	5	,	,	PUNCT
cuesj-118	134	6	vol	vol	NOUN
cuesj-118	134	7	.	.	PROPN
cuesj-118	134	8	81	81	NUM
cuesj-118	134	9	,	,	PUNCT
cuesj-118	134	10	pp	pp	ADJ
cuesj-118	134	11	.	.	PUNCT
cuesj-118	135	1	582	582	NUM
cuesj-118	135	2	-	-	SYM
cuesj-118	135	3	592	592	NUM
cuesj-118	135	4	,	,	PUNCT
cuesj-118	135	5	2018	2018	NUM
cuesj-118	135	6	.	.	PUNCT
cuesj-118	136	1	2	2	NUM
cuesj-118	136	2	.	.	X
cuesj-118	136	3	a.	a.	NOUN
cuesj-118	136	4	tolba	tolba	PROPN
cuesj-118	136	5	,	,	PUNCT
cuesj-118	136	6	a.	a.	PROPN
cuesj-118	136	7	el	el	PROPN
cuesj-118	136	8	-	-	PUNCT
cuesj-118	136	9	baz	baz	PROPN
cuesj-118	136	10	and	and	CCONJ
cuesj-118	136	11	a.	a.	PROPN
cuesj-118	136	12	el	el	PROPN
cuesj-118	136	13	-	-	PUNCT
cuesj-118	136	14	harby	harby	PROPN
cuesj-118	136	15	.	.	PUNCT
cuesj-118	137	1	“	"	PUNCT
cuesj-118	137	2	face	face	NOUN
cuesj-118	137	3	recognition	recognition	NOUN
cuesj-118	137	4	:	:	PUNCT
cuesj-118	137	5	a	a	DET
cuesj-118	137	6	literature	literature	NOUN
cuesj-118	137	7	review	review	NOUN
cuesj-118	137	8	”	"	PUNCT
cuesj-118	137	9	.	.	PUNCT
cuesj-118	138	1	international	international	ADJ
cuesj-118	138	2	journal	journal	PROPN
cuesj-118	138	3	of	of	ADP
cuesj-118	138	4	signal	signal	PROPN
cuesj-118	138	5	processing	processing	NOUN
cuesj-118	138	6	,	,	PUNCT
cuesj-118	138	7	vol	vol	NOUN
cuesj-118	138	8	.	.	PROPN
cuesj-118	138	9	2	2	NUM
cuesj-118	138	10	,	,	PUNCT
cuesj-118	138	11	no	no	INTJ
cuesj-118	138	12	.	.	NOUN
cuesj-118	138	13	2	2	NUM
cuesj-118	138	14	,	,	PUNCT
cuesj-118	138	15	pp	pp	ADJ
cuesj-118	138	16	.	.	PUNCT
cuesj-118	139	1	88	88	NUM
cuesj-118	139	2	-	-	SYM
cuesj-118	139	3	92	92	NUM
cuesj-118	139	4	,	,	PUNCT
cuesj-118	139	5	2005	2005	NUM
cuesj-118	139	6	.	.	PUNCT
cuesj-118	140	1	3	3	X
cuesj-118	140	2	.	.	X
cuesj-118	140	3	l.	l.	PROPN
cuesj-118	140	4	paul	paul	PROPN
cuesj-118	140	5	and	and	CCONJ
cuesj-118	140	6	a.	a.	NOUN
cuesj-118	140	7	sumam	sumam	NOUN
cuesj-118	140	8	.	.	PUNCT
cuesj-118	141	1	“	"	PUNCT
cuesj-118	141	2	face	face	VERB
cuesj-118	141	3	recognition	recognition	NOUN
cuesj-118	141	4	using	use	VERB
cuesj-118	141	5	principal	principal	ADJ
cuesj-118	141	6	component	component	NOUN
cuesj-118	141	7	analysis	analysis	NOUN
cuesj-118	141	8	method	method	NOUN
cuesj-118	141	9	”	"	PUNCT
cuesj-118	141	10	.	.	PUNCT
cuesj-118	142	1	international	international	ADJ
cuesj-118	142	2	journal	journal	PROPN
cuesj-118	142	3	of	of	ADP
cuesj-118	142	4	advanced	advanced	ADJ
cuesj-118	142	5	research	research	NOUN
cuesj-118	142	6	in	in	ADP
cuesj-118	142	7	computer	computer	NOUN
cuesj-118	142	8	engineering	engineering	NOUN
cuesj-118	142	9	and	and	CCONJ
cuesj-118	142	10	technology	technology	NOUN
cuesj-118	142	11	,	,	PUNCT
cuesj-118	142	12	vol	vol	NOUN
cuesj-118	142	13	.	.	PROPN
cuesj-118	142	14	1	1	NUM
cuesj-118	142	15	,	,	PUNCT
cuesj-118	142	16	no	no	INTJ
cuesj-118	142	17	.	.	NOUN
cuesj-118	142	18	9	9	NUM
cuesj-118	142	19	,	,	PUNCT
cuesj-118	142	20	pp	pp	ADJ
cuesj-118	142	21	.	.	PUNCT
cuesj-118	143	1	135	135	NUM
cuesj-118	143	2	-	-	SYM
cuesj-118	143	3	139	139	NUM
cuesj-118	143	4	,	,	PUNCT
cuesj-118	143	5	2012	2012	NUM
cuesj-118	143	6	.	.	PUNCT
cuesj-118	144	1	4	4	X
cuesj-118	144	2	.	.	X
cuesj-118	144	3	s.	s.	PROPN
cuesj-118	144	4	kak	kak	PROPN
cuesj-118	144	5	,	,	PUNCT
cuesj-118	144	6	f.	f.	PROPN
cuesj-118	144	7	mustafa	mustafa	PROPN
cuesj-118	144	8	and	and	CCONJ
cuesj-118	144	9	p.	p.	PROPN
cuesj-118	144	10	valente	valente	PROPN
cuesj-118	144	11	.	.	PUNCT
cuesj-118	145	1	“	"	PUNCT
cuesj-118	145	2	discrete	discrete	ADJ
cuesj-118	145	3	wavelet	wavelet	NOUN
cuesj-118	145	4	transform	transform	NOUN
cuesj-118	145	5	with	with	ADP
cuesj-118	145	6	eigenface	eigenface	NOUN
cuesj-118	145	7	to	to	PART
cuesj-118	145	8	enhance	enhance	VERB
cuesj-118	145	9	face	face	NOUN
cuesj-118	145	10	recognition	recognition	NOUN
cuesj-118	145	11	rate	rate	NOUN
cuesj-118	145	12	”	"	PUNCT
cuesj-118	145	13	.	.	PUNCT
cuesj-118	146	1	academic	academic	ADJ
cuesj-118	146	2	journal	journal	NOUN
cuesj-118	146	3	of	of	ADP
cuesj-118	146	4	nawroz	nawroz	ADJ
cuesj-118	146	5	university	university	NOUN
cuesj-118	146	6	,	,	PUNCT
cuesj-118	146	7	vol	vol	NOUN
cuesj-118	146	8	.	.	PROPN
cuesj-118	146	9	7	7	NUM
cuesj-118	146	10	,	,	PUNCT
cuesj-118	146	11	no	no	INTJ
cuesj-118	146	12	.	.	NOUN
cuesj-118	146	13	4	4	NUM
cuesj-118	146	14	,	,	PUNCT
cuesj-118	146	15	pp	pp	ADJ
cuesj-118	146	16	.	.	PUNCT
cuesj-118	147	1	10	10	NUM
cuesj-118	147	2	-	-	SYM
cuesj-118	147	3	13	13	NUM
cuesj-118	147	4	,	,	PUNCT
cuesj-118	147	5	2018	2018	NUM
cuesj-118	147	6	.	.	PUNCT
cuesj-118	148	1	5	5	X
cuesj-118	148	2	.	.	PUNCT
cuesj-118	148	3	c.	c.	PROPN
cuesj-118	148	4	bhimanwar	bhimanwar	PROPN
cuesj-118	148	5	,	,	PUNCT
cuesj-118	148	6	r.	r.	PROPN
cuesj-118	148	7	biradar	biradar	PROPN
cuesj-118	148	8	,	,	PUNCT
cuesj-118	148	9	n.	n.	PROPN
cuesj-118	148	10	bhole	bhole	PROPN
cuesj-118	148	11	and	and	CCONJ
cuesj-118	148	12	m.	m.	PROPN
cuesj-118	148	13	rane	rane	PROPN
cuesj-118	148	14	.	.	PUNCT
cuesj-118	149	1	“	"	PUNCT
cuesj-118	149	2	face	face	VERB
cuesj-118	149	3	identification	identification	NOUN
cuesj-118	149	4	”	"	PUNCT
cuesj-118	149	5	.	.	PUNCT
cuesj-118	150	1	international	international	ADJ
cuesj-118	150	2	journal	journal	PROPN
cuesj-118	150	3	of	of	ADP
cuesj-118	150	4	engineering	engineering	NOUN
cuesj-118	150	5	science	science	NOUN
cuesj-118	150	6	and	and	CCONJ
cuesj-118	150	7	computing	computing	NOUN
cuesj-118	150	8	,	,	PUNCT
cuesj-118	150	9	vol	vol	NOUN
cuesj-118	150	10	.	.	PROPN
cuesj-118	150	11	7	7	NUM
cuesj-118	150	12	,	,	PUNCT
cuesj-118	150	13	no	no	INTJ
cuesj-118	150	14	.	.	NOUN
cuesj-118	150	15	5	5	NUM
cuesj-118	150	16	,	,	PUNCT
cuesj-118	150	17	pp	pp	ADJ
cuesj-118	150	18	.	.	PUNCT
cuesj-118	151	1	11923	11923	NUM
cuesj-118	151	2	-	-	SYM
cuesj-118	151	3	11928	11928	NUM
cuesj-118	151	4	,	,	PUNCT
cuesj-118	151	5	2017	2017	NUM
cuesj-118	151	6	.	.	PUNCT
cuesj-118	152	1	6	6	NUM
cuesj-118	152	2	.	.	X
cuesj-118	152	3	m.	m.	NOUN
cuesj-118	152	4	mukhedkar	mukhedkar	PROPN
cuesj-118	152	5	and	and	CCONJ
cuesj-118	152	6	s.	s.	PROPN
cuesj-118	152	7	powalkar	powalkar	PROPN
cuesj-118	152	8	.	.	PUNCT
cuesj-118	153	1	“	"	PUNCT
cuesj-118	153	2	fast	fast	ADJ
cuesj-118	153	3	face	face	NOUN
cuesj-118	153	4	recognition	recognition	NOUN
cuesj-118	153	5	based	base	VERB
cuesj-118	153	6	on	on	ADP
cuesj-118	153	7	wavelet	wavelet	NOUN
cuesj-118	153	8	transform	transform	NOUN
cuesj-118	153	9	on	on	ADP
cuesj-118	153	10	pca	pca	PROPN
cuesj-118	153	11	”	"	PUNCT
cuesj-118	153	12	.	.	PUNCT
cuesj-118	154	1	international	international	ADJ
cuesj-118	154	2	conference	conference	NOUN
cuesj-118	154	3	on	on	ADP
cuesj-118	154	4	energy	energy	NOUN
cuesj-118	154	5	systems	system	NOUN
cuesj-118	154	6	and	and	CCONJ
cuesj-118	154	7	applications	application	NOUN
cuesj-118	154	8	(	(	PUNCT
cuesj-118	154	9	icesa	icesa	PROPN
cuesj-118	154	10	2015	2015	NUM
cuesj-118	154	11	)	)	PUNCT
cuesj-118	154	12	,	,	PUNCT
cuesj-118	154	13	india	india	PROPN
cuesj-118	154	14	,	,	PUNCT
cuesj-118	154	15	2015	2015	NUM
cuesj-118	154	16	.	.	PUNCT
cuesj-118	155	1	7	7	X
cuesj-118	155	2	.	.	X
cuesj-118	155	3	g.	g.	PROPN
cuesj-118	155	4	cavallaro	cavallaro	PROPN
cuesj-118	155	5	,	,	PUNCT
cuesj-118	155	6	m.	m.	NOUN
cuesj-118	155	7	riedel	riedel	PROPN
cuesj-118	155	8	,	,	PUNCT
cuesj-118	155	9	m.	m.	NOUN
cuesj-118	155	10	richerzhagen	richerzhagen	PROPN
cuesj-118	155	11	,	,	PUNCT
cuesj-118	155	12	j.	j.	PROPN
cuesj-118	155	13	benediktsson	benediktsson	PROPN
cuesj-118	155	14	and	and	CCONJ
cuesj-118	155	15	a.	a.	NOUN
cuesj-118	155	16	plaza	plaza	PROPN
cuesj-118	155	17	.	.	PUNCT
cuesj-118	156	1	“	"	PUNCT
cuesj-118	156	2	on	on	ADP
cuesj-118	156	3	understanding	understand	VERB
cuesj-118	156	4	big	big	ADJ
cuesj-118	156	5	data	datum	NOUN
cuesj-118	156	6	impacts	impact	NOUN
cuesj-118	156	7	in	in	ADP
cuesj-118	156	8	remotely	remotely	ADV
cuesj-118	156	9	sensed	sense	VERB
cuesj-118	156	10	image	image	NOUN
cuesj-118	156	11	classification	classification	NOUN
cuesj-118	156	12	using	use	VERB
cuesj-118	156	13	support	support	NOUN
cuesj-118	156	14	vector	vector	NOUN
cuesj-118	156	15	machine	machine	NOUN
cuesj-118	156	16	methods	method	NOUN
cuesj-118	156	17	”	"	PUNCT
cuesj-118	156	18	.	.	PUNCT
cuesj-118	157	1	ieee	ieee	PROPN
cuesj-118	157	2	journal	journal	PROPN
cuesj-118	157	3	of	of	ADP
cuesj-118	157	4	selected	select	VERB
cuesj-118	157	5	topics	topic	NOUN
cuesj-118	157	6	in	in	ADP
cuesj-118	157	7	applied	apply	VERB
cuesj-118	157	8	earth	earth	NOUN
cuesj-118	157	9	observations	observation	NOUN
cuesj-118	157	10	and	and	CCONJ
cuesj-118	157	11	remote	remote	ADJ
cuesj-118	157	12	sensing	sensing	NOUN
cuesj-118	157	13	,	,	PUNCT
cuesj-118	157	14	vol	vol	NOUN
cuesj-118	157	15	.	.	PROPN
cuesj-118	157	16	8	8	NUM
cuesj-118	157	17	,	,	PUNCT
cuesj-118	157	18	no	no	INTJ
cuesj-118	157	19	.	.	NOUN
cuesj-118	157	20	10	10	NUM
cuesj-118	157	21	,	,	PUNCT
cuesj-118	157	22	pp	pp	ADJ
cuesj-118	157	23	.	.	PUNCT
cuesj-118	158	1	4634	4634	NUM
cuesj-118	158	2	-	-	SYM
cuesj-118	158	3	4646	4646	NUM
cuesj-118	158	4	,	,	PUNCT
cuesj-118	158	5	2015	2015	NUM
cuesj-118	158	6	.	.	PUNCT
cuesj-118	159	1	8	8	X
cuesj-118	159	2	.	.	PUNCT
cuesj-118	159	3	j.	j.	PROPN
cuesj-118	159	4	wang	wang	PROPN
cuesj-118	159	5	,	,	PUNCT
cuesj-118	159	6	j.	j.	PROPN
cuesj-118	159	7	zheng	zheng	PROPN
cuesj-118	159	8	,	,	PUNCT
cuesj-118	159	9	s.	s.	PROPN
cuesj-118	159	10	zhang	zhang	PROPN
cuesj-118	159	11	,	,	PUNCT
cuesj-118	159	12	j.	j.	PROPN
cuesj-118	159	13	he	he	PROPN
cuesj-118	159	14	,	,	PUNCT
cuesj-118	159	15	x.	x.	PROPN
cuesj-118	159	16	liang	liang	PROPN
cuesj-118	159	17	and	and	CCONJ
cuesj-118	159	18	s.	s.	PROPN
cuesj-118	159	19	feng	feng	PROPN
cuesj-118	159	20	.	.	PUNCT
cuesj-118	160	1	“	"	PUNCT
cuesj-118	160	2	a	a	DET
cuesj-118	160	3	face	face	NOUN
cuesj-118	160	4	recognition	recognition	NOUN
cuesj-118	160	5	system	system	NOUN
cuesj-118	160	6	based	base	VERB
cuesj-118	160	7	on	on	ADP
cuesj-118	160	8	local	local	ADJ
cuesj-118	160	9	binary	binary	ADJ
cuesj-118	160	10	patterns	pattern	NOUN
cuesj-118	160	11	and	and	CCONJ
cuesj-118	160	12	support	support	VERB
cuesj-118	160	13	vector	vector	NOUN
cuesj-118	160	14	machine	machine	NOUN
cuesj-118	160	15	for	for	ADP
cuesj-118	160	16	home	home	NOUN
cuesj-118	160	17	security	security	NOUN
cuesj-118	160	18	service	service	NOUN
cuesj-118	160	19	robot	robot	NOUN
cuesj-118	160	20	”	"	PUNCT
cuesj-118	160	21	.	.	PUNCT
cuesj-118	161	1	9th	9th	ADJ
cuesj-118	161	2	international	international	ADJ
cuesj-118	161	3	symposium	symposium	NOUN
cuesj-118	161	4	on	on	ADP
cuesj-118	161	5	computational	computational	ADJ
cuesj-118	161	6	intelligence	intelligence	NOUN
cuesj-118	161	7	and	and	CCONJ
cuesj-118	161	8	design	design	NOUN
cuesj-118	161	9	.	.	PUNCT
cuesj-118	162	1	ieee	ieee	PROPN
cuesj-118	162	2	,	,	PUNCT
cuesj-118	162	3	2016	2016	NUM
cuesj-118	162	4	.	.	PUNCT
cuesj-118	163	1	9	9	NUM
cuesj-118	163	2	.	.	PUNCT
cuesj-118	163	3	y.	y.	PROPN
cuesj-118	163	4	cha	cha	PROPN
cuesj-118	163	5	,	,	PUNCT
cuesj-118	163	6	k.	k.	PROPN
cuesj-118	163	7	you	you	PRON
cuesj-118	163	8	and	and	CCONJ
cuesj-118	163	9	w.	w.	PROPN
cuesj-118	163	10	choi	choi	PROPN
cuesj-118	163	11	.	.	PUNCT
cuesj-118	164	1	“	"	PUNCT
cuesj-118	164	2	vision	vision	NOUN
cuesj-118	164	3	-	-	PUNCT
cuesj-118	164	4	based	base	VERB
cuesj-118	164	5	detection	detection	NOUN
cuesj-118	164	6	of	of	ADP
cuesj-118	164	7	loosened	loosen	VERB
cuesj-118	164	8	bolts	bolt	NOUN
cuesj-118	164	9	using	use	VERB
cuesj-118	164	10	the	the	DET
cuesj-118	164	11	hough	hough	PROPN
cuesj-118	164	12	transform	transform	VERB
cuesj-118	164	13	and	and	CCONJ
cuesj-118	164	14	support	support	VERB
cuesj-118	164	15	vector	vector	NOUN
cuesj-118	164	16	machines	machine	NOUN
cuesj-118	164	17	”	"	PUNCT
cuesj-118	164	18	.	.	PUNCT
cuesj-118	165	1	automation	automation	NOUN
cuesj-118	165	2	in	in	ADP
cuesj-118	165	3	construction	construction	NOUN
cuesj-118	165	4	,	,	PUNCT
cuesj-118	165	5	vol	vol	NOUN
cuesj-118	165	6	.	.	PROPN
cuesj-118	165	7	71	71	NUM
cuesj-118	165	8	,	,	PUNCT
cuesj-118	165	9	no	no	INTJ
cuesj-118	165	10	.	.	NOUN
cuesj-118	165	11	2	2	NUM
cuesj-118	165	12	,	,	PUNCT
cuesj-118	165	13	pp	pp	ADJ
cuesj-118	165	14	.	.	PUNCT
cuesj-118	166	1	181	181	NUM
cuesj-118	166	2	-	-	SYM
cuesj-118	166	3	188	188	NUM
cuesj-118	166	4	.	.	PUNCT
cuesj-118	167	1	10	10	NUM
cuesj-118	167	2	.	.	PUNCT
cuesj-118	167	3	i.	i.	PROPN
cuesj-118	167	4	kavakiotis	kavakiotis	PROPN
cuesj-118	167	5	,	,	PUNCT
cuesj-118	167	6	o.	o.	PROPN
cuesj-118	167	7	tsave	tsave	PROPN
cuesj-118	167	8	,	,	PUNCT
cuesj-118	167	9	a.	a.	PROPN
cuesj-118	167	10	salifoglou	salifoglou	PROPN
cuesj-118	167	11	,	,	PUNCT
cuesj-118	167	12	n.	n.	PROPN
cuesj-118	167	13	maglaveras	maglaveras	PROPN
cuesj-118	167	14	,	,	PUNCT
cuesj-118	167	15	i.	i.	PROPN
cuesj-118	167	16	vlahavas	vlahavas	PROPN
cuesj-118	167	17	and	and	CCONJ
cuesj-118	167	18	i.	i.	PROPN
cuesj-118	167	19	chouvarda	chouvarda	PROPN
cuesj-118	167	20	.	.	PUNCT
cuesj-118	168	1	“	"	PUNCT
cuesj-118	168	2	machine	machine	NOUN
cuesj-118	168	3	learning	learning	NOUN
cuesj-118	168	4	and	and	CCONJ
cuesj-118	168	5	data	datum	NOUN
cuesj-118	168	6	mining	mining	NOUN
cuesj-118	168	7	methods	method	NOUN
cuesj-118	168	8	in	in	ADP
cuesj-118	168	9	diabetes	diabetes	NOUN
cuesj-118	168	10	research	research	NOUN
cuesj-118	168	11	”	"	PUNCT
cuesj-118	168	12	.	.	PUNCT
cuesj-118	169	1	computational	computational	ADJ
cuesj-118	169	2	and	and	CCONJ
cuesj-118	169	3	structural	structural	ADJ
cuesj-118	169	4	biotechnology	biotechnology	NOUN
cuesj-118	169	5	journal	journal	NOUN
cuesj-118	169	6	,	,	PUNCT
cuesj-118	169	7	vol	vol	NOUN
cuesj-118	169	8	.	.	PROPN
cuesj-118	169	9	15	15	NUM
cuesj-118	169	10	,	,	PUNCT
cuesj-118	169	11	pp	pp	ADJ
cuesj-118	169	12	.	.	PUNCT
cuesj-118	170	1	104	104	NUM
cuesj-118	170	2	-	-	SYM
cuesj-118	170	3	116	116	NUM
cuesj-118	170	4	,	,	PUNCT
cuesj-118	170	5	2017	2017	NUM
cuesj-118	170	6	.	.	PUNCT
cuesj-118	171	1	11	11	NUM
cuesj-118	171	2	.	.	PUNCT
cuesj-118	172	1	t.	t.	PROPN
cuesj-118	172	2	patel	patel	PROPN
cuesj-118	172	3	and	and	CCONJ
cuesj-118	172	4	b.	b.	PROPN
cuesj-118	172	5	shah	shah	PROPN
cuesj-118	172	6	.	.	PUNCT
cuesj-118	173	1	“	"	PUNCT
cuesj-118	173	2	a	a	DET
cuesj-118	173	3	survey	survey	NOUN
cuesj-118	173	4	on	on	ADP
cuesj-118	173	5	facial	facial	ADJ
cuesj-118	173	6	feature	feature	NOUN
cuesj-118	173	7	extraction	extraction	NOUN
cuesj-118	173	8	techniques	technique	NOUN
cuesj-118	173	9	for	for	ADP
cuesj-118	173	10	automatic	automatic	ADJ
cuesj-118	173	11	face	face	NOUN
cuesj-118	173	12	annotation	annotation	NOUN
cuesj-118	173	13	”	"	PUNCT
cuesj-118	173	14	.	.	PUNCT
cuesj-118	174	1	international	international	ADJ
cuesj-118	174	2	conference	conference	NOUN
cuesj-118	174	3	on	on	ADP
cuesj-118	174	4	innovative	innovative	ADJ
cuesj-118	174	5	mechanisms	mechanism	NOUN
cuesj-118	174	6	for	for	ADP
cuesj-118	174	7	industry	industry	NOUN
cuesj-118	174	8	applications	application	NOUN
cuesj-118	174	9	(	(	PUNCT
cuesj-118	174	10	icimia	icimia	NOUN
cuesj-118	174	11	)	)	PUNCT
cuesj-118	174	12	.	.	PUNCT
cuesj-118	175	1	ieee	ieee	PROPN
cuesj-118	175	2	,	,	PUNCT
cuesj-118	175	3	2017	2017	NUM
cuesj-118	175	4	.	.	PUNCT
cuesj-118	176	1	12	12	NUM
cuesj-118	176	2	.	.	PUNCT
cuesj-118	177	1	y.	y.	PROPN
cuesj-118	177	2	song	song	PROPN
cuesj-118	177	3	,	,	PUNCT
cuesj-118	177	4	j.	j.	PROPN
cuesj-118	177	5	huang	huang	PROPN
cuesj-118	177	6	,	,	PUNCT
cuesj-118	177	7	d.	d.	PROPN
cuesj-118	177	8	zhou	zhou	PROPN
cuesj-118	177	9	,	,	PUNCT
cuesj-118	177	10	h.	h.	PROPN
cuesj-118	177	11	zha1	zha1	PROPN
cuesj-118	177	12	and	and	CCONJ
cuesj-118	177	13	c.	c.	PROPN
cuesj-118	177	14	giles	giles	PROPN
cuesj-118	177	15	.	.	PUNCT
cuesj-118	178	1	“	"	PUNCT
cuesj-118	178	2	iknn	iknn	ADJ
cuesj-118	178	3	:	:	PUNCT
cuesj-118	178	4	informative	informative	ADJ
cuesj-118	178	5	k	k	ADJ
cuesj-118	178	6	-	-	PUNCT
cuesj-118	178	7	nearest	near	ADJ
cuesj-118	178	8	neighbor	neighbor	NOUN
cuesj-118	178	9	pattern	pattern	NOUN
cuesj-118	178	10	classification	classification	NOUN
cuesj-118	178	11	”	"	PUNCT
cuesj-118	178	12	.	.	PUNCT
cuesj-118	179	1	springerverlag	springerverlag	PROPN
cuesj-118	179	2	,	,	PUNCT
cuesj-118	179	3	berlin	berlin	PROPN
cuesj-118	179	4	heidelberg	heidelberg	PROPN
cuesj-118	179	5	,	,	PUNCT
cuesj-118	179	6	2007	2007	NUM
cuesj-118	179	7	.	.	PUNCT
cuesj-118	180	1	13	13	NUM
cuesj-118	180	2	.	.	PUNCT
cuesj-118	181	1	k.	k.	PROPN
cuesj-118	181	2	weinberger	weinberger	PROPN
cuesj-118	181	3	and	and	CCONJ
cuesj-118	181	4	l.	l.	PROPN
cuesj-118	181	5	saul	saul	PROPN
cuesj-118	181	6	.	.	PUNCT
cuesj-118	182	1	“	"	PUNCT
cuesj-118	182	2	distance	distance	NOUN
cuesj-118	182	3	metric	metric	ADJ
cuesj-118	182	4	learning	learning	NOUN
cuesj-118	182	5	for	for	ADP
cuesj-118	182	6	large	large	ADJ
cuesj-118	182	7	margin	margin	NOUN
cuesj-118	182	8	nearest	near	ADJ
cuesj-118	182	9	neighbor	neighbor	NOUN
cuesj-118	182	10	classification	classification	NOUN
cuesj-118	182	11	”	"	PUNCT
cuesj-118	182	12	.	.	PUNCT
cuesj-118	183	1	journal	journal	PROPN
cuesj-118	183	2	of	of	ADP
cuesj-118	183	3	machine	machine	NOUN
cuesj-118	183	4	learning	learn	VERB
cuesj-118	183	5	research	research	NOUN
cuesj-118	183	6	,	,	PUNCT
cuesj-118	183	7	vol	vol	NOUN
cuesj-118	183	8	.	.	PROPN
cuesj-118	183	9	10	10	NUM
cuesj-118	183	10	,	,	PUNCT
cuesj-118	183	11	pp	pp	ADJ
cuesj-118	183	12	.	.	PUNCT
cuesj-118	184	1	207	207	NUM
cuesj-118	184	2	-	-	SYM
cuesj-118	184	3	244	244	NUM
cuesj-118	184	4	,	,	PUNCT
cuesj-118	184	5	2009	2009	NUM
cuesj-118	184	6	.	.	PUNCT
cuesj-118	185	1	14	14	NUM
cuesj-118	185	2	.	.	PUNCT
cuesj-118	186	1	m.	m.	NOUN
cuesj-118	186	2	z.	z.	PROPN
cuesj-118	186	3	n.	n.	PROPN
cuesj-118	186	4	al	al	PROPN
cuesj-118	186	5	-	-	PUNCT
cuesj-118	186	6	dabagh	dabagh	PROPN
cuesj-118	186	7	,	,	PUNCT
cuesj-118	186	8	m.	m.	NOUN
cuesj-118	186	9	h.	h.	PROPN
cuesj-118	186	10	m.	m.	PROPN
cuesj-118	186	11	alhabib	alhabib	PROPN
cuesj-118	186	12	and	and	CCONJ
cuesj-118	186	13	f.	f.	PROPN
cuesj-118	186	14	h.	h.	PROPN
cuesj-118	186	15	al	al	PROPN
cuesj-118	186	16	-	-	PUNCT
cuesj-118	186	17	mukhtar	mukhtar	PROPN
cuesj-118	186	18	.	.	PUNCT
cuesj-118	187	1	“	"	PUNCT
cuesj-118	187	2	face	face	NOUN
cuesj-118	187	3	recognition	recognition	NOUN
cuesj-118	187	4	system	system	NOUN
cuesj-118	187	5	based	base	VERB
cuesj-118	187	6	on	on	ADP
cuesj-118	187	7	kernel	kernel	PROPN
cuesj-118	187	8	discriminant	discriminant	PROPN
cuesj-118	187	9	analysis	analysis	NOUN
cuesj-118	187	10	,	,	PUNCT
cuesj-118	187	11	k	k	NOUN
cuesj-118	187	12	-	-	PUNCT
cuesj-118	187	13	nearest	near	ADJ
cuesj-118	187	14	neighbor	neighbor	NOUN
cuesj-118	187	15	and	and	CCONJ
cuesj-118	187	16	support	support	VERB
cuesj-118	187	17	vector	vector	NOUN
cuesj-118	187	18	machine	machine	NOUN
cuesj-118	187	19	”	"	PUNCT
cuesj-118	187	20	.	.	PUNCT
cuesj-118	188	1	international	international	ADJ
cuesj-118	188	2	journal	journal	PROPN
cuesj-118	188	3	of	of	ADP
cuesj-118	188	4	research	research	NOUN
cuesj-118	188	5	and	and	CCONJ
cuesj-118	188	6	engineering	engineering	NOUN
cuesj-118	188	7	,	,	PUNCT
cuesj-118	188	8	vol	vol	NOUN
cuesj-118	188	9	.	.	PROPN
cuesj-118	188	10	5	5	NUM
cuesj-118	188	11	,	,	PUNCT
cuesj-118	188	12	no	no	INTJ
cuesj-118	188	13	.	.	NOUN
cuesj-118	188	14	3	3	NUM
cuesj-118	188	15	,	,	PUNCT
cuesj-118	188	16	pp	pp	ADJ
cuesj-118	188	17	.	.	PUNCT
cuesj-118	189	1	335	335	NUM
cuesj-118	189	2	-	-	SYM
cuesj-118	189	3	338	338	NUM
cuesj-118	189	4	,	,	PUNCT
cuesj-118	189	5	2018	2018	NUM
cuesj-118	189	6	.	.	PUNCT
cuesj-118	190	1	15	15	NUM
cuesj-118	190	2	.	.	PUNCT
cuesj-118	190	3	n.	n.	PROPN
cuesj-118	190	4	pedrajas	pedrajas	PROPN
cuesj-118	190	5	,	,	PUNCT
cuesj-118	190	6	j.	j.	PROPN
cuesj-118	190	7	castillo	castillo	PROPN
cuesj-118	190	8	and	and	CCONJ
cuesj-118	190	9	g.	g.	PROPN
cuesj-118	190	10	garcía	garcía	PROPN
cuesj-118	190	11	.	.	PUNCT
cuesj-118	191	1	“	"	PUNCT
cuesj-118	191	2	a	a	DET
cuesj-118	191	3	proposal	proposal	NOUN
cuesj-118	191	4	for	for	ADP
cuesj-118	191	5	local	local	ADJ
cuesj-118	191	6	k	k	PROPN
cuesj-118	191	7	values	value	NOUN
cuesj-118	191	8	for	for	ADP
cuesj-118	191	9	k	k	ADV
cuesj-118	191	10	-	-	PUNCT
cuesj-118	191	11	nearest	near	ADJ
cuesj-118	191	12	neighbor	neighbor	NOUN
cuesj-118	191	13	rule	rule	NOUN
cuesj-118	191	14	”	"	PUNCT
cuesj-118	191	15	.	.	PUNCT
cuesj-118	192	1	ieee	ieee	NOUN
cuesj-118	192	2	transactions	transaction	NOUN
cuesj-118	192	3	on	on	ADP
cuesj-118	192	4	neural	neural	ADJ
cuesj-118	192	5	networks	network	NOUN
cuesj-118	192	6	and	and	CCONJ
cuesj-118	192	7	learning	learning	NOUN
cuesj-118	192	8	systems	system	NOUN
cuesj-118	192	9	,	,	PUNCT
cuesj-118	192	10	vol	vol	NOUN
cuesj-118	192	11	.	.	PROPN
cuesj-118	192	12	28	28	NUM
cuesj-118	192	13	,	,	PUNCT
cuesj-118	192	14	no	no	INTJ
cuesj-118	192	15	.	.	NOUN
cuesj-118	192	16	2	2	NUM
cuesj-118	192	17	,	,	PUNCT
cuesj-118	192	18	pp	pp	ADJ
cuesj-118	192	19	.	.	PUNCT
cuesj-118	192	20	470475	470475	NUM
cuesj-118	192	21	,	,	PUNCT
cuesj-118	192	22	2015	2015	NUM
cuesj-118	192	23	.	.	PUNCT
cuesj-118	193	1	16	16	NUM
cuesj-118	193	2	.	.	PUNCT
cuesj-118	194	1	g.	g.	PROPN
cuesj-118	194	2	hemalatha	hemalatha	PROPN
cuesj-118	194	3	and	and	CCONJ
cuesj-118	194	4	c.	c.	PROPN
cuesj-118	194	5	sumathi	sumathi	PROPN
cuesj-118	194	6	.	.	PUNCT
cuesj-118	195	1	“	"	PUNCT
cuesj-118	195	2	preprocessing	preprocesse	VERB
cuesj-118	195	3	techniques	technique	NOUN
cuesj-118	195	4	of	of	ADP
cuesj-118	195	5	facial	facial	ADJ
cuesj-118	195	6	image	image	NOUN
cuesj-118	195	7	with	with	ADP
cuesj-118	195	8	median	median	PROPN
cuesj-118	195	9	and	and	CCONJ
cuesj-118	195	10	gabor	gabor	PROPN
cuesj-118	195	11	filters	filter	NOUN
cuesj-118	195	12	”	"	PUNCT
cuesj-118	195	13	.	.	PUNCT
cuesj-118	196	1	international	international	ADJ
cuesj-118	196	2	conference	conference	NOUN
cuesj-118	196	3	on	on	ADP
cuesj-118	196	4	information	information	NOUN
cuesj-118	196	5	communication	communication	NOUN
cuesj-118	196	6	and	and	CCONJ
cuesj-118	196	7	embedded	embed	VERB
cuesj-118	196	8	system	system	NOUN
cuesj-118	196	9	(	(	PUNCT
cuesj-118	196	10	icices	icice	NOUN
cuesj-118	196	11	)	)	PUNCT
cuesj-118	196	12	.	.	PUNCT
cuesj-118	197	1	ieee	ieee	PROPN
cuesj-118	197	2	,	,	PUNCT
cuesj-118	197	3	2016	2016	NUM
cuesj-118	197	4	.	.	PUNCT
cuesj-118	198	1	17	17	NUM
cuesj-118	198	2	.	.	PUNCT
cuesj-118	198	3	m.	m.	NOUN
cuesj-118	198	4	sukassini	sukassini	PROPN
cuesj-118	198	5	and	and	CCONJ
cuesj-118	198	6	t.	t.	PROPN
cuesj-118	198	7	velmurugan	velmurugan	NOUN
cuesj-118	198	8	.	.	PUNCT
cuesj-118	199	1	“	"	PUNCT
cuesj-118	199	2	noise	noise	NOUN
cuesj-118	199	3	removal	removal	NOUN
cuesj-118	199	4	using	use	VERB
cuesj-118	199	5	morphology	morphology	NOUN
cuesj-118	199	6	and	and	CCONJ
cuesj-118	199	7	median	median	ADJ
cuesj-118	199	8	filter	filter	NOUN
cuesj-118	199	9	methods	method	NOUN
cuesj-118	199	10	in	in	ADP
cuesj-118	199	11	mammogram	mammogram	NOUN
cuesj-118	199	12	images	image	NOUN
cuesj-118	199	13	”	"	PUNCT
cuesj-118	199	14	.	.	PUNCT
cuesj-118	200	1	the	the	DET
cuesj-118	200	2	3rd	3rd	ADJ
cuesj-118	200	3	international	international	ADJ
cuesj-118	200	4	conference	conference	NOUN
cuesj-118	200	5	on	on	ADP
cuesj-118	200	6	small	small	ADJ
cuesj-118	200	7	and	and	CCONJ
cuesj-118	200	8	medium	medium	ADJ
cuesj-118	200	9	business	business	NOUN
cuesj-118	200	10	,	,	PUNCT
cuesj-118	200	11	2016	2016	NUM
cuesj-118	200	12	.	.	PUNCT
cuesj-118	201	1	18	18	NUM
cuesj-118	201	2	.	.	PUNCT
cuesj-118	202	1	s.	s.	PROPN
cuesj-118	202	2	perumal	perumal	PROPN
cuesj-118	202	3	and	and	CCONJ
cuesj-118	202	4	t.	t.	PROPN
cuesj-118	202	5	velmurugan	velmurugan	NOUN
cuesj-118	202	6	.	.	PUNCT
cuesj-118	203	1	“	"	PUNCT
cuesj-118	203	2	preprocessing	preprocesse	VERB
cuesj-118	203	3	by	by	ADP
cuesj-118	203	4	contrast	contrast	NOUN
cuesj-118	203	5	enhancement	enhancement	NOUN
cuesj-118	203	6	techniques	technique	NOUN
cuesj-118	203	7	for	for	ADP
cuesj-118	203	8	medical	medical	ADJ
cuesj-118	203	9	images	image	NOUN
cuesj-118	203	10	”	"	PUNCT
cuesj-118	203	11	.	.	PUNCT
cuesj-118	204	1	international	international	ADJ
cuesj-118	204	2	journal	journal	NOUN
cuesj-118	204	3	of	of	ADP
cuesj-118	204	4	pure	pure	ADJ
cuesj-118	204	5	and	and	CCONJ
cuesj-118	204	6	applied	applied	ADJ
cuesj-118	204	7	mathematics	mathematic	NOUN
cuesj-118	204	8	,	,	PUNCT
cuesj-118	204	9	vol	vol	NOUN
cuesj-118	204	10	.	.	PROPN
cuesj-118	204	11	118	118	NUM
cuesj-118	204	12	,	,	PUNCT
cuesj-118	204	13	no	no	INTJ
cuesj-118	204	14	.	.	NOUN
cuesj-118	204	15	18	18	NUM
cuesj-118	204	16	,	,	PUNCT
cuesj-118	204	17	pp	pp	ADJ
cuesj-118	204	18	.	.	PUNCT
cuesj-118	205	1	3681	3681	NUM
cuesj-118	205	2	-	-	SYM
cuesj-118	205	3	3688	3688	NUM
cuesj-118	205	4	,	,	PUNCT
cuesj-118	205	5	2018	2018	NUM
cuesj-118	205	6	.	.	PUNCT
cuesj-118	206	1	19	19	NUM
cuesj-118	206	2	.	.	PUNCT
cuesj-118	206	3	k.	k.	PROPN
cuesj-118	206	4	ghazali	ghazali	PROPN
cuesj-118	206	5	,	,	PUNCT
cuesj-118	206	6	m.	m.	PROPN
cuesj-118	206	7	mansor	mansor	PROPN
cuesj-118	206	8	,	,	PUNCT
cuesj-118	206	9	m.	m.	NOUN
cuesj-118	206	10	mustafa	mustafa	PROPN
cuesj-118	206	11	and	and	CCONJ
cuesj-118	206	12	a.	a.	NOUN
cuesj-118	206	13	hussain	hussain	PROPN
cuesj-118	206	14	.	.	PUNCT
cuesj-118	207	1	“	"	PUNCT
cuesj-118	207	2	feature	feature	NOUN
cuesj-118	207	3	extraction	extraction	NOUN
cuesj-118	207	4	technique	technique	NOUN
cuesj-118	207	5	using	use	VERB
cuesj-118	207	6	discrete	discrete	ADJ
cuesj-118	207	7	wavelet	wavelet	NOUN
cuesj-118	207	8	transform	transform	NOUN
cuesj-118	207	9	for	for	ADP
cuesj-118	207	10	image	image	NOUN
cuesj-118	207	11	classification	classification	NOUN
cuesj-118	207	12	”	"	PUNCT
cuesj-118	207	13	.	.	PUNCT
cuesj-118	208	1	the	the	DET
cuesj-118	208	2	5th	5th	ADJ
cuesj-118	208	3	student	student	NOUN
cuesj-118	208	4	conference	conference	NOUN
cuesj-118	208	5	on	on	ADP
cuesj-118	208	6	research	research	NOUN
cuesj-118	208	7	and	and	CCONJ
cuesj-118	208	8	development	development	NOUN
cuesj-118	208	9	scored	score	VERB
cuesj-118	208	10	.	.	PUNCT
cuesj-118	209	1	ieee	ieee	NOUN
cuesj-118	209	2	,	,	PUNCT
cuesj-118	209	3	2007	2007	NUM
cuesj-118	209	4	.	.	PUNCT
cuesj-118	210	1	20	20	NUM
cuesj-118	210	2	.	.	PUNCT
cuesj-118	211	1	j.	j.	PROPN
cuesj-118	211	2	choi	choi	PROPN
cuesj-118	211	3	,	,	PUNCT
cuesj-118	211	4	j.	j.	PROPN
cuesj-118	211	5	choi	choi	PROPN
cuesj-118	211	6	,	,	PUNCT
cuesj-118	211	7	m.	m.	NOUN
cuesj-118	211	8	ha	ha	INTJ
cuesj-118	211	9	,	,	PUNCT
cuesj-118	211	10	t.	t.	PROPN
cuesj-118	211	11	trinh	trinh	PROPN
cuesj-118	211	12	,	,	PUNCT
cuesj-118	211	13	t.	t.	PROPN
cuesj-118	211	14	yoon	yoon	PROPN
cuesj-118	211	15	and	and	CCONJ
cuesj-118	211	16	h.	h.	PROPN
cuesj-118	211	17	byun	byun	PROPN
cuesj-118	211	18	.	.	PUNCT
cuesj-118	212	1	“	"	PUNCT
cuesj-118	212	2	towards	towards	ADP
cuesj-118	212	3	a	a	DET
cuesj-118	212	4	generalized	generalized	ADJ
cuesj-118	212	5	toxicity	toxicity	NOUN
cuesj-118	212	6	prediction	prediction	NOUN
cuesj-118	212	7	model	model	NOUN
cuesj-118	212	8	for	for	ADP
cuesj-118	212	9	oxide	oxide	NOUN
cuesj-118	212	10	nanomaterials	nanomaterial	NOUN
cuesj-118	212	11	using	use	VERB
cuesj-118	212	12	integrated	integrate	VERB
cuesj-118	212	13	data	datum	NOUN
cuesj-118	212	14	from	from	ADP
cuesj-118	212	15	different	different	ADJ
cuesj-118	212	16	sources	source	NOUN
cuesj-118	212	17	”	"	PUNCT
cuesj-118	212	18	.	.	PUNCT
cuesj-118	213	1	scientific	scientific	ADJ
cuesj-118	213	2	reports	report	NOUN
cuesj-118	213	3	,	,	PUNCT
cuesj-118	213	4	vol	vol	NOUN
cuesj-118	213	5	.	.	PROPN
cuesj-118	213	6	8	8	NUM
cuesj-118	213	7	,	,	PUNCT
cuesj-118	213	8	pp	pp	ADJ
cuesj-118	213	9	.	.	PUNCT
cuesj-118	213	10	6110	6110	NUM
cuesj-118	213	11	,	,	PUNCT
cuesj-118	213	12	2018	2018	NUM
cuesj-118	213	13	.	.	PUNCT