id	sid	tid	token	lemma	pos
alkej-19	1	1	final4	final4	PROPN
alkej-19	1	2	٣٨	٣٨	NUM
alkej-19	1	3	al	al	PROPN
alkej-19	1	4	-	-	PUNCT
alkej-19	1	5	khwarizmi	khwarizmi	PROPN
alkej-19	1	6	engineering	engineering	PROPN
alkej-19	1	7	journal	journal	PROPN
alkej-19	1	8	al	al	PROPN
alkej-19	1	9	-	-	PUNCT
alkej-19	1	10	khwarizmi	khwarizmi	PROPN
alkej-19	1	11	engineering	engineering	NOUN
alkej-19	1	12	journal	journal	PROPN
alkej-19	1	13	,	,	PUNCT
alkej-19	1	14	vol.1	vol.1	PROPN
alkej-19	1	15	,	,	PUNCT
alkej-19	1	16	no.1,pp	no.1,pp	ADJ
alkej-19	1	17	38	38	NUM
alkej-19	1	18	-	-	SYM
alkej-19	1	19	45	45	NUM
alkej-19	1	20	,	,	PUNCT
alkej-19	1	21	(	(	PUNCT
alkej-19	1	22	2005	2005	NUM
alkej-19	1	23	)	)	PUNCT
alkej-19	1	24	human	human	ADJ
alkej-19	1	25	face	face	NOUN
alkej-19	1	26	recognition	recognition	NOUN
alkej-19	1	27	using	use	VERB
alkej-19	1	28	gabor	gabor	PROPN
alkej-19	1	29	filter	filter	NOUN
alkej-19	1	30	and	and	CCONJ
alkej-19	1	31	different	different	ADJ
alkej-19	1	32	self	self	NOUN
alkej-19	1	33	organizing	organize	VERB
alkej-19	1	34	maps	map	NOUN
alkej-19	1	35	neural	neural	PROPN
alkej-19	1	36	networks	networks	PROPN
alkej-19	1	37	dr	dr	PROPN
alkej-19	1	38	.	.	PROPN
alkej-19	1	39	tarik	tarik	PROPN
alkej-19	1	40	zeyad	zeyad	PROPN
alkej-19	1	41	electrical	electrical	ADJ
alkej-19	1	42	engineering	engineering	NOUN
alkej-19	1	43	dept./college	dept./college	PROPN
alkej-19	1	44	of	of	ADP
alkej-19	1	45	engineering/	engineering/	NUM
alkej-19	1	46	university	university	NOUN
alkej-19	1	47	of	of	ADP
alkej-19	1	48	baghdad	baghdad	PROPN
alkej-19	1	49	abstract	abstract	NOUN
alkej-19	1	50	.	.	PUNCT
alkej-19	2	1	this	this	DET
alkej-19	2	2	work	work	NOUN
alkej-19	2	3	implements	implement	VERB
alkej-19	2	4	the	the	DET
alkej-19	2	5	face	face	NOUN
alkej-19	2	6	recognition	recognition	NOUN
alkej-19	2	7	system	system	NOUN
alkej-19	2	8	based	base	VERB
alkej-19	2	9	on	on	ADP
alkej-19	2	10	two	two	NUM
alkej-19	2	11	stages	stage	NOUN
alkej-19	2	12	,	,	PUNCT
alkej-19	2	13	the	the	DET
alkej-19	2	14	first	first	ADJ
alkej-19	2	15	stage	stage	NOUN
alkej-19	2	16	is	be	AUX
alkej-19	2	17	feature	feature	NOUN
alkej-19	2	18	extraction	extraction	NOUN
alkej-19	2	19	stage	stage	NOUN
alkej-19	2	20	and	and	CCONJ
alkej-19	2	21	the	the	DET
alkej-19	2	22	second	second	ADJ
alkej-19	2	23	stage	stage	NOUN
alkej-19	2	24	is	be	AUX
alkej-19	2	25	the	the	DET
alkej-19	2	26	classification	classification	NOUN
alkej-19	2	27	stage	stage	NOUN
alkej-19	2	28	.	.	PUNCT
alkej-19	3	1	the	the	DET
alkej-19	3	2	feature	feature	NOUN
alkej-19	3	3	extraction	extraction	NOUN
alkej-19	3	4	stage	stage	NOUN
alkej-19	3	5	consists	consist	VERB
alkej-19	3	6	of	of	ADP
alkej-19	3	7	self	self	NOUN
alkej-19	3	8	-	-	PUNCT
alkej-19	3	9	organizing	organize	VERB
alkej-19	3	10	maps	map	NOUN
alkej-19	3	11	(	(	PUNCT
alkej-19	3	12	som	som	NOUN
alkej-19	3	13	)	)	PUNCT
alkej-19	3	14	in	in	ADP
alkej-19	3	15	a	a	DET
alkej-19	3	16	hierarchical	hierarchical	ADJ
alkej-19	3	17	format	format	NOUN
alkej-19	3	18	in	in	ADP
alkej-19	3	19	conjunction	conjunction	NOUN
alkej-19	3	20	with	with	ADP
alkej-19	3	21	gabor	gabor	PROPN
alkej-19	3	22	filters	filter	NOUN
alkej-19	3	23	and	and	CCONJ
alkej-19	3	24	local	local	ADJ
alkej-19	3	25	image	image	NOUN
alkej-19	3	26	sampling	sampling	NOUN
alkej-19	3	27	.	.	PUNCT
alkej-19	4	1	different	different	ADJ
alkej-19	4	2	types	type	NOUN
alkej-19	4	3	of	of	ADP
alkej-19	4	4	som	som	NOUN
alkej-19	4	5	’s	’s	PART
alkej-19	4	6	were	be	AUX
alkej-19	4	7	used	use	VERB
alkej-19	4	8	and	and	CCONJ
alkej-19	4	9	a	a	DET
alkej-19	4	10	comparison	comparison	NOUN
alkej-19	4	11	between	between	ADP
alkej-19	4	12	the	the	DET
alkej-19	4	13	results	result	NOUN
alkej-19	4	14	from	from	ADP
alkej-19	4	15	these	these	DET
alkej-19	4	16	som	som	NOUN
alkej-19	4	17	’s	’s	PART
alkej-19	4	18	was	be	AUX
alkej-19	4	19	given	give	VERB
alkej-19	4	20	.	.	PUNCT
alkej-19	5	1	the	the	DET
alkej-19	5	2	next	next	ADJ
alkej-19	5	3	stage	stage	NOUN
alkej-19	5	4	is	be	AUX
alkej-19	5	5	the	the	DET
alkej-19	5	6	classification	classification	NOUN
alkej-19	5	7	stage	stage	NOUN
alkej-19	5	8	,	,	PUNCT
alkej-19	5	9	and	and	CCONJ
alkej-19	5	10	consists	consist	VERB
alkej-19	5	11	of	of	ADP
alkej-19	5	12	self	self	NOUN
alkej-19	5	13	-	-	PUNCT
alkej-19	5	14	organizing	organize	VERB
alkej-19	5	15	map	map	NOUN
alkej-19	5	16	neural	neural	ADJ
alkej-19	5	17	network	network	NOUN
alkej-19	5	18	;	;	PUNCT
alkej-19	5	19	the	the	DET
alkej-19	5	20	goal	goal	NOUN
alkej-19	5	21	of	of	ADP
alkej-19	5	22	this	this	DET
alkej-19	5	23	stage	stage	NOUN
alkej-19	5	24	is	be	AUX
alkej-19	5	25	to	to	PART
alkej-19	5	26	find	find	VERB
alkej-19	5	27	the	the	DET
alkej-19	5	28	similar	similar	ADJ
alkej-19	5	29	image	image	NOUN
alkej-19	5	30	to	to	ADP
alkej-19	5	31	the	the	DET
alkej-19	5	32	input	input	NOUN
alkej-19	5	33	image	image	NOUN
alkej-19	5	34	.	.	PUNCT
alkej-19	6	1	the	the	DET
alkej-19	6	2	proposal	proposal	NOUN
alkej-19	6	3	method	method	NOUN
alkej-19	6	4	algorithm	algorithm	NOUN
alkej-19	6	5	implemented	implement	VERB
alkej-19	6	6	by	by	ADP
alkej-19	6	7	using	use	VERB
alkej-19	6	8	c++	c++	NOUN
alkej-19	6	9	packages	package	NOUN
alkej-19	6	10	,	,	PUNCT
alkej-19	6	11	this	this	DET
alkej-19	6	12	work	work	NOUN
alkej-19	6	13	is	be	AUX
alkej-19	6	14	successful	successful	ADJ
alkej-19	6	15	classifier	classifier	NOUN
alkej-19	6	16	for	for	ADP
alkej-19	6	17	a	a	DET
alkej-19	6	18	face	face	NOUN
alkej-19	6	19	database	database	NOUN
alkej-19	6	20	consist	consist	NOUN
alkej-19	6	21	of	of	ADP
alkej-19	6	22	20	20	NUM
alkej-19	6	23	people	people	NOUN
alkej-19	6	24	with	with	ADP
alkej-19	6	25	six	six	NUM
alkej-19	6	26	images	image	NOUN
alkej-19	6	27	for	for	ADP
alkej-19	6	28	each	each	DET
alkej-19	6	29	person	person	NOUN
alkej-19	6	30	and	and	CCONJ
alkej-19	6	31	a	a	DET
alkej-19	6	32	measure	measure	NOUN
alkej-19	6	33	of	of	ADP
alkej-19	6	34	the	the	DET
alkej-19	6	35	time	time	NOUN
alkej-19	6	36	differences	difference	NOUN
alkej-19	6	37	between	between	ADP
alkej-19	6	38	the	the	DET
alkej-19	6	39	methods	method	NOUN
alkej-19	6	40	is	be	AUX
alkej-19	6	41	given	give	VERB
alkej-19	6	42	.	.	PUNCT
alkej-19	7	1	keyword	keyword	NOUN
alkej-19	7	2	:	:	PUNCT
alkej-19	7	3	self	self	NOUN
alkej-19	7	4	-	-	PUNCT
alkej-19	7	5	organizing	organize	VERB
alkej-19	7	6	map	map	NOUN
alkej-19	7	7	,	,	PUNCT
alkej-19	7	8	gabor	gabor	PROPN
alkej-19	7	9	filter	filter	PROPN
alkej-19	7	10	.	.	PUNCT
alkej-19	8	1	introduction	introduction	NOUN
alkej-19	8	2	.	.	PUNCT
alkej-19	9	1	face	face	NOUN
alkej-19	9	2	recognition	recognition	NOUN
alkej-19	9	3	may	may	AUX
alkej-19	9	4	seem	seem	VERB
alkej-19	9	5	an	an	DET
alkej-19	9	6	easy	easy	ADJ
alkej-19	9	7	task	task	NOUN
alkej-19	9	8	for	for	ADP
alkej-19	9	9	humans	human	NOUN
alkej-19	9	10	eyes	eye	NOUN
alkej-19	9	11	providing	provide	VERB
alkej-19	9	12	that	that	SCONJ
alkej-19	9	13	the	the	DET
alkej-19	9	14	recognized	recognize	VERB
alkej-19	9	15	face	face	NOUN
alkej-19	9	16	is	be	AUX
alkej-19	9	17	seen	see	VERB
alkej-19	9	18	before	before	ADV
alkej-19	9	19	,	,	PUNCT
alkej-19	9	20	and	and	CCONJ
alkej-19	9	21	yet	yet	ADV
alkej-19	9	22	computerized	computerized	ADJ
alkej-19	9	23	face	face	NOUN
alkej-19	9	24	recognition	recognition	NOUN
alkej-19	9	25	system	system	NOUN
alkej-19	9	26	still	still	ADV
alkej-19	9	27	can	can	AUX
alkej-19	9	28	not	not	PART
alkej-19	9	29	achieve	achieve	VERB
alkej-19	9	30	a	a	DET
alkej-19	9	31	completely	completely	ADV
alkej-19	9	32	reliable	reliable	ADJ
alkej-19	9	33	performance	performance	NOUN
alkej-19	9	34	.	.	PUNCT
alkej-19	10	1	the	the	DET
alkej-19	10	2	difficulties	difficulty	NOUN
alkej-19	10	3	arise	arise	VERB
alkej-19	10	4	due	due	ADP
alkej-19	10	5	to	to	ADP
alkej-19	10	6	large	large	ADJ
alkej-19	10	7	variation	variation	NOUN
alkej-19	10	8	in	in	ADP
alkej-19	10	9	facial	facial	ADJ
alkej-19	10	10	appearance	appearance	NOUN
alkej-19	10	11	,	,	PUNCT
alkej-19	10	12	head	head	NOUN
alkej-19	10	13	size	size	NOUN
alkej-19	10	14	,	,	PUNCT
alkej-19	10	15	orientation	orientation	NOUN
alkej-19	10	16	and	and	CCONJ
alkej-19	10	17	change	change	NOUN
alkej-19	10	18	in	in	ADP
alkej-19	10	19	environment	environment	NOUN
alkej-19	10	20	conditions	condition	NOUN
alkej-19	10	21	.	.	PUNCT
alkej-19	11	1	such	such	ADJ
alkej-19	11	2	difficulties	difficulty	NOUN
alkej-19	11	3	make	make	VERB
alkej-19	11	4	face	face	NOUN
alkej-19	11	5	recognition	recognition	NOUN
alkej-19	11	6	one	one	NUM
alkej-19	11	7	of	of	ADP
alkej-19	11	8	the	the	DET
alkej-19	11	9	fundamental	fundamental	ADJ
alkej-19	11	10	problems	problem	NOUN
alkej-19	11	11	in	in	ADP
alkej-19	11	12	pattern	pattern	NOUN
alkej-19	11	13	analysis	analysis	NOUN
alkej-19	11	14	.	.	PUNCT
alkej-19	12	1	in	in	ADP
alkej-19	12	2	recent	recent	ADJ
alkej-19	12	3	years	year	NOUN
alkej-19	12	4	there	there	PRON
alkej-19	12	5	has	have	AUX
alkej-19	12	6	been	be	AUX
alkej-19	12	7	a	a	DET
alkej-19	12	8	growing	grow	VERB
alkej-19	12	9	interest	interest	NOUN
alkej-19	12	10	in	in	ADP
alkej-19	12	11	machine	machine	NOUN
alkej-19	12	12	recognition	recognition	NOUN
alkej-19	12	13	of	of	ADP
alkej-19	12	14	faces	face	NOUN
alkej-19	12	15	due	due	ADJ
alkej-19	12	16	to	to	ADP
alkej-19	12	17	potential	potential	ADJ
alkej-19	12	18	commercial	commercial	ADJ
alkej-19	12	19	application	application	NOUN
alkej-19	12	20	such	such	ADJ
alkej-19	12	21	as	as	ADP
alkej-19	12	22	film	film	NOUN
alkej-19	12	23	processing	processing	NOUN
alkej-19	12	24	,	,	PUNCT
alkej-19	12	25	law	law	NOUN
alkej-19	12	26	enforcement	enforcement	NOUN
alkej-19	12	27	,	,	PUNCT
alkej-19	12	28	person	person	NOUN
alkej-19	12	29	identification	identification	NOUN
alkej-19	12	30	,	,	PUNCT
alkej-19	12	31	access	access	NOUN
alkej-19	12	32	control	control	NOUN
alkej-19	12	33	systems	system	NOUN
alkej-19	12	34	,	,	PUNCT
alkej-19	12	35	etc	etc	X
alkej-19	13	1	[	[	X
alkej-19	13	2	1	1	NUM
alkej-19	13	3	]	]	PUNCT
alkej-19	13	4	.	.	PUNCT
alkej-19	14	1	a	a	DET
alkej-19	14	2	complete	complete	ADJ
alkej-19	14	3	conventional	conventional	ADJ
alkej-19	14	4	human	human	ADJ
alkej-19	14	5	face	face	NOUN
alkej-19	14	6	recognition	recognition	NOUN
alkej-19	14	7	system	system	NOUN
alkej-19	14	8	should	should	AUX
alkej-19	14	9	include	include	VERB
alkej-19	14	10	three	three	NUM
alkej-19	14	11	stages	stage	NOUN
alkej-19	14	12	.	.	PUNCT
alkej-19	15	1	the	the	DET
alkej-19	15	2	first	first	ADJ
alkej-19	15	3	stage	stage	NOUN
alkej-19	15	4	involves	involve	VERB
alkej-19	15	5	detecting	detect	VERB
alkej-19	15	6	the	the	DET
alkej-19	15	7	location	location	NOUN
alkej-19	15	8	of	of	ADP
alkej-19	15	9	face	face	NOUN
alkej-19	15	10	in	in	ADP
alkej-19	15	11	arbitrary	arbitrary	ADJ
alkej-19	15	12	images	image	NOUN
alkej-19	15	13	.	.	PUNCT
alkej-19	16	1	the	the	DET
alkej-19	16	2	second	second	ADJ
alkej-19	16	3	stage	stage	NOUN
alkej-19	16	4	requires	require	VERB
alkej-19	16	5	extraction	extraction	NOUN
alkej-19	16	6	of	of	ADP
alkej-19	16	7	pertinent	pertinent	ADJ
alkej-19	16	8	features	feature	NOUN
alkej-19	16	9	from	from	ADP
alkej-19	16	10	the	the	DET
alkej-19	16	11	localized	localize	VERB
alkej-19	16	12	image	image	NOUN
alkej-19	16	13	obtained	obtain	VERB
alkej-19	16	14	in	in	ADP
alkej-19	16	15	the	the	DET
alkej-19	16	16	first	first	ADJ
alkej-19	16	17	stage	stage	NOUN
alkej-19	16	18	.	.	PUNCT
alkej-19	17	1	finally	finally	ADV
alkej-19	17	2	the	the	DET
alkej-19	17	3	third	third	ADJ
alkej-19	17	4	stage	stage	NOUN
alkej-19	17	5	involves	involve	VERB
alkej-19	17	6	classification	classification	NOUN
alkej-19	17	7	of	of	ADP
alkej-19	17	8	facial	facial	ADJ
alkej-19	17	9	images	image	NOUN
alkej-19	17	10	based	base	VERB
alkej-19	17	11	on	on	ADP
alkej-19	17	12	the	the	DET
alkej-19	17	13	derived	derive	VERB
alkej-19	17	14	feature	feature	NOUN
alkej-19	17	15	vector	vector	NOUN
alkej-19	17	16	obtained	obtain	VERB
alkej-19	17	17	in	in	ADP
alkej-19	17	18	the	the	DET
alkej-19	17	19	previous	previous	ADJ
alkej-19	17	20	stage	stage	NOUN
alkej-19	17	21	[	[	X
alkej-19	17	22	2	2	NUM
alkej-19	17	23	]	]	PUNCT
alkej-19	17	24	.	.	PUNCT
alkej-19	18	1	a	a	DET
alkej-19	18	2	number	number	NOUN
alkej-19	18	3	of	of	ADP
alkej-19	18	4	image	image	NOUN
alkej-19	18	5	classification	classification	NOUN
alkej-19	18	6	systems	system	NOUN
alkej-19	18	7	based	base	VERB
alkej-19	18	8	on	on	ADP
alkej-19	18	9	the	the	DET
alkej-19	18	10	combination	combination	NOUN
alkej-19	18	11	of	of	ADP
alkej-19	18	12	outputs	output	NOUN
alkej-19	18	13	of	of	ADP
alkej-19	18	14	different	different	ADJ
alkej-19	18	15	classifier	classifier	NOUN
alkej-19	18	16	systems	system	NOUN
alkej-19	18	17	have	have	AUX
alkej-19	18	18	been	be	AUX
alkej-19	18	19	proposed	propose	VERB
alkej-19	18	20	.	.	PUNCT
alkej-19	19	1	different	different	ADJ
alkej-19	19	2	structures	structure	NOUN
alkej-19	19	3	for	for	ADP
alkej-19	19	4	combining	combine	VERB
alkej-19	19	5	classifier	classifier	NOUN
alkej-19	19	6	systems	system	NOUN
alkej-19	19	7	can	can	AUX
alkej-19	19	8	be	be	AUX
alkej-19	19	9	grouped	group	VERB
alkej-19	19	10	in	in	ADP
alkej-19	19	11	three	three	NUM
alkej-19	19	12	configurations	configuration	NOUN
alkej-19	19	13	.	.	PUNCT
alkej-19	20	1	in	in	ADP
alkej-19	20	2	the	the	DET
alkej-19	20	3	first	first	ADJ
alkej-19	20	4	group	group	NOUN
alkej-19	20	5	,	,	PUNCT
alkej-19	20	6	the	the	DET
alkej-19	20	7	classifier	classifier	NOUN
alkej-19	20	8	systems	system	NOUN
alkej-19	20	9	are	be	AUX
alkej-19	20	10	connected	connect	VERB
alkej-19	20	11	in	in	ADP
alkej-19	20	12	cascade	cascade	NOUN
alkej-19	20	13	to	to	PART
alkej-19	20	14	create	create	VERB
alkej-19	20	15	pipeline	pipeline	NOUN
alkej-19	20	16	structure	structure	NOUN
alkej-19	20	17	.	.	PUNCT
alkej-19	21	1	tarik	tarik	PROPN
alkej-19	21	2	zeyad	zeyad	PROPN
alkej-19	21	3	/al	/al	PROPN
alkej-19	21	4	-	-	PUNCT
alkej-19	21	5	khwarizmi	khwarizmi	PROPN
alkej-19	21	6	engineering	engineering	NOUN
alkej-19	21	7	journal	journal	PROPN
alkej-19	21	8	,	,	PUNCT
alkej-19	21	9	vol.1	vol.1	PROPN
alkej-19	21	10	,	,	PUNCT
alkej-19	21	11	no	no	INTJ
alkej-19	21	12	.	.	PUNCT
alkej-19	22	1	1,pp	1,pp	NUM
alkej-19	22	2	38	38	NUM
alkej-19	22	3	-	-	SYM
alkej-19	22	4	45	45	NUM
alkej-19	22	5	(	(	PUNCT
alkej-19	22	6	2005	2005	NUM
alkej-19	22	7	)	)	PUNCT
alkej-19	22	8	٣٩	٣٩	PROPN
alkej-19	22	9	in	in	ADP
alkej-19	22	10	the	the	DET
alkej-19	22	11	second	second	ADJ
alkej-19	22	12	one	one	NOUN
alkej-19	22	13	,	,	PUNCT
alkej-19	22	14	the	the	DET
alkej-19	22	15	classifier	classifier	NOUN
alkej-19	22	16	systems	system	NOUN
alkej-19	22	17	are	be	AUX
alkej-19	22	18	used	use	VERB
alkej-19	22	19	in	in	ADP
alkej-19	22	20	parallel	parallel	NOUN
alkej-19	22	21	and	and	CCONJ
alkej-19	22	22	their	their	PRON
alkej-19	22	23	outputs	output	NOUN
alkej-19	22	24	are	be	AUX
alkej-19	22	25	combined	combine	VERB
alkej-19	22	26	named	name	VERB
alkej-19	22	27	parallel	parallel	ADJ
alkej-19	22	28	structure	structure	NOUN
alkej-19	22	29	.	.	PUNCT
alkej-19	23	1	finally	finally	ADV
alkej-19	23	2	the	the	DET
alkej-19	23	3	hybrid	hybrid	ADJ
alkej-19	23	4	structure	structure	NOUN
alkej-19	23	5	is	be	AUX
alkej-19	23	6	a	a	DET
alkej-19	23	7	combination	combination	NOUN
alkej-19	23	8	of	of	ADP
alkej-19	23	9	the	the	DET
alkej-19	23	10	pipeline	pipeline	NOUN
alkej-19	23	11	and	and	CCONJ
alkej-19	23	12	parallel	parallel	ADJ
alkej-19	23	13	structures	structure	NOUN
alkej-19	23	14	.	.	PUNCT
alkej-19	24	1	[	[	X
alkej-19	24	2	3	3	NUM
alkej-19	24	3	]	]	PUNCT
alkej-19	24	4	.	.	PUNCT
alkej-19	25	1	finally	finally	ADV
alkej-19	25	2	in	in	ADP
alkej-19	25	3	this	this	DET
alkej-19	25	4	work	work	NOUN
alkej-19	25	5	selforganizing	selforganize	VERB
alkej-19	25	6	map	map	NOUN
alkej-19	25	7	(	(	PUNCT
alkej-19	25	8	som	som	NOUN
alkej-19	25	9	)	)	PUNCT
alkej-19	25	10	neural	neural	ADJ
alkej-19	25	11	network	network	NOUN
alkej-19	25	12	is	be	AUX
alkej-19	25	13	used	use	VERB
alkej-19	25	14	as	as	ADP
alkej-19	25	15	the	the	DET
alkej-19	25	16	classifier	classifier	NOUN
alkej-19	25	17	.	.	PUNCT
alkej-19	26	1	recently	recently	ADV
alkej-19	26	2	som	som	PROPN
alkej-19	26	3	neural	neural	ADJ
alkej-19	26	4	networks	network	NOUN
alkej-19	26	5	have	have	AUX
alkej-19	26	6	been	be	AUX
alkej-19	26	7	found	find	VERB
alkej-19	26	8	to	to	PART
alkej-19	26	9	be	be	AUX
alkej-19	26	10	very	very	ADV
alkej-19	26	11	attractive	attractive	ADJ
alkej-19	26	12	for	for	ADP
alkej-19	26	13	many	many	ADJ
alkej-19	26	14	engineering	engineering	NOUN
alkej-19	26	15	problems	problem	NOUN
alkej-19	26	16	.	.	PUNCT
alkej-19	27	1	an	an	DET
alkej-19	27	2	important	important	ADJ
alkej-19	27	3	property	property	NOUN
alkej-19	27	4	of	of	ADP
alkej-19	27	5	som	som	NOUN
alkej-19	27	6	neural	neural	ADJ
alkej-19	27	7	networks	network	NOUN
alkej-19	27	8	is	be	AUX
alkej-19	27	9	that	that	SCONJ
alkej-19	27	10	they	they	PRON
alkej-19	27	11	form	form	VERB
alkej-19	27	12	a	a	DET
alkej-19	27	13	unifying	unifying	ADJ
alkej-19	27	14	link	link	NOUN
alkej-19	27	15	among	among	ADP
alkej-19	27	16	many	many	ADJ
alkej-19	27	17	different	different	ADJ
alkej-19	27	18	research	research	NOUN
alkej-19	27	19	fields	field	NOUN
alkej-19	27	20	such	such	ADJ
alkej-19	27	21	as	as	ADP
alkej-19	27	22	function	function	NOUN
alkej-19	27	23	approximation	approximation	NOUN
alkej-19	27	24	,	,	PUNCT
alkej-19	27	25	regularization	regularization	NOUN
alkej-19	27	26	,	,	PUNCT
alkej-19	27	27	noisy	noisy	ADJ
alkej-19	27	28	interpolation	interpolation	NOUN
alkej-19	27	29	and	and	CCONJ
alkej-19	27	30	pattern	pattern	NOUN
alkej-19	27	31	recognition	recognition	NOUN
alkej-19	27	32	.	.	PUNCT
alkej-19	28	1	gabor	gabor	PROPN
alkej-19	28	2	wavelets	wavelets	PROPN
alkej-19	28	3	.	.	PUNCT
alkej-19	29	1	dennis	dennis	PROPN
alkej-19	29	2	gabor	gabor	PROPN
alkej-19	29	3	first	first	PROPN
alkej-19	29	4	proposed	propose	VERB
alkej-19	29	5	gabor	gabor	NOUN
alkej-19	29	6	functions	function	NOUN
alkej-19	29	7	as	as	ADP
alkej-19	29	8	tools	tool	NOUN
alkej-19	29	9	for	for	ADP
alkej-19	29	10	signal	signal	ADJ
alkej-19	29	11	detection	detection	NOUN
alkej-19	29	12	in	in	ADP
alkej-19	29	13	noise	noise	NOUN
alkej-19	29	14	.	.	PUNCT
alkej-19	30	1	gabor	gabor	PROPN
alkej-19	30	2	filter	filter	PROPN
alkej-19	30	3	showed	show	VERB
alkej-19	30	4	that	that	SCONJ
alkej-19	30	5	there	there	PRON
alkej-19	30	6	exists	exist	VERB
alkej-19	30	7	a	a	DET
alkej-19	30	8	“	"	PUNCT
alkej-19	30	9	quantum	quantum	ADJ
alkej-19	30	10	principle	principle	NOUN
alkej-19	30	11	”	"	PUNCT
alkej-19	30	12	for	for	ADP
alkej-19	30	13	information	information	NOUN
alkej-19	30	14	;	;	PUNCT
alkej-19	30	15	the	the	DET
alkej-19	30	16	conjoint	conjoint	ADJ
alkej-19	30	17	timefrequency	timefrequency	NOUN
alkej-19	30	18	domain	domain	NOUN
alkej-19	30	19	for	for	ADP
alkej-19	30	20	1d	1d	NUM
alkej-19	30	21	signals	signal	NOUN
alkej-19	30	22	must	must	AUX
alkej-19	30	23	necessarily	necessarily	ADV
alkej-19	30	24	be	be	AUX
alkej-19	30	25	quantized	quantize	VERB
alkej-19	30	26	so	so	SCONJ
alkej-19	30	27	that	that	SCONJ
alkej-19	30	28	no	no	DET
alkej-19	30	29	signal	signal	NOUN
alkej-19	30	30	or	or	CCONJ
alkej-19	30	31	filter	filter	NOUN
alkej-19	30	32	can	can	AUX
alkej-19	30	33	occupy	occupy	VERB
alkej-19	30	34	less	less	ADJ
alkej-19	30	35	than	than	ADP
alkej-19	30	36	certain	certain	ADJ
alkej-19	30	37	minimal	minimal	ADJ
alkej-19	30	38	area	area	NOUN
alkej-19	30	39	in	in	ADP
alkej-19	30	40	it	it	PRON
alkej-19	30	41	.	.	PUNCT
alkej-19	31	1	however	however	ADV
alkej-19	31	2	,	,	PUNCT
alkej-19	31	3	there	there	PRON
alkej-19	31	4	is	be	VERB
alkej-19	31	5	a	a	DET
alkej-19	31	6	trade	trade	NOUN
alkej-19	31	7	off	off	ADP
alkej-19	31	8	between	between	ADP
alkej-19	31	9	time	time	NOUN
alkej-19	31	10	resolution	resolution	NOUN
alkej-19	31	11	and	and	CCONJ
alkej-19	31	12	frequency	frequency	NOUN
alkej-19	31	13	resolution	resolution	NOUN
alkej-19	31	14	.	.	PUNCT
alkej-19	32	1	gabor	gabor	PROPN
alkej-19	32	2	discovered	discover	VERB
alkej-19	32	3	that	that	SCONJ
alkej-19	32	4	gaussian	gaussian	NOUN
alkej-19	32	5	modulated	modulate	VERB
alkej-19	32	6	complex	complex	ADJ
alkej-19	32	7	exponentials	exponential	NOUN
alkej-19	32	8	provide	provide	VERB
alkej-19	32	9	the	the	DET
alkej-19	32	10	best	good	ADJ
alkej-19	32	11	trade	trade	NOUN
alkej-19	32	12	off	off	ADP
alkej-19	32	13	.	.	PUNCT
alkej-19	33	1	for	for	ADP
alkej-19	33	2	such	such	DET
alkej-19	33	3	a	a	DET
alkej-19	33	4	case	case	NOUN
alkej-19	33	5	,	,	PUNCT
alkej-19	33	6	the	the	DET
alkej-19	33	7	original	original	ADJ
alkej-19	33	8	gabor	gabor	PROPN
alkej-19	33	9	elementary	elementary	PROPN
alkej-19	33	10	functions	function	NOUN
alkej-19	33	11	are	be	AUX
alkej-19	33	12	generated	generate	VERB
alkej-19	33	13	with	with	ADP
alkej-19	33	14	a	a	DET
alkej-19	33	15	fixed	fix	VERB
alkej-19	33	16	gaussian	gaussian	NOUN
alkej-19	33	17	,	,	PUNCT
alkej-19	33	18	while	while	SCONJ
alkej-19	33	19	the	the	DET
alkej-19	33	20	frequency	frequency	NOUN
alkej-19	33	21	of	of	ADP
alkej-19	33	22	the	the	DET
alkej-19	33	23	modulating	modulating	ADJ
alkej-19	33	24	wave	wave	NOUN
alkej-19	33	25	varies	vary	VERB
alkej-19	33	26	[	[	X
alkej-19	33	27	4	4	NUM
alkej-19	33	28	]	]	PUNCT
alkej-19	33	29	.	.	PUNCT
alkej-19	34	1	gabor	gabor	PROPN
alkej-19	34	2	filters	filter	NOUN
alkej-19	34	3	,	,	PUNCT
alkej-19	34	4	rediscovered	rediscovered	ADJ
alkej-19	34	5	and	and	CCONJ
alkej-19	34	6	generalized	generalize	VERB
alkej-19	34	7	to	to	ADP
alkej-19	34	8	2d	2d	NUM
alkej-19	34	9	,	,	PUNCT
alkej-19	34	10	are	be	AUX
alkej-19	34	11	now	now	ADV
alkej-19	34	12	being	be	AUX
alkej-19	34	13	used	use	VERB
alkej-19	34	14	extensively	extensively	ADV
alkej-19	34	15	in	in	ADP
alkej-19	34	16	various	various	ADJ
alkej-19	34	17	computer	computer	NOUN
alkej-19	34	18	vision	vision	NOUN
alkej-19	34	19	applications	application	NOUN
alkej-19	34	20	.	.	PUNCT
alkej-19	35	1	daugman	daugman	PROPN
alkej-19	35	2	[	[	X
alkej-19	35	3	5	5	NUM
alkej-19	35	4	]	]	X
alkej-19	35	5	generalized	generalized	ADJ
alkej-19	35	6	gabor	gabor	PROPN
alkej-19	35	7	function	function	NOUN
alkej-19	35	8	to	to	ADP
alkej-19	35	9	the	the	DET
alkej-19	35	10	following	follow	VERB
alkej-19	35	11	2d	2d	NUM
alkej-19	35	12	form	form	NOUN
alkej-19	35	13	in	in	ADP
alkej-19	35	14	order	order	NOUN
alkej-19	35	15	to	to	PART
alkej-19	35	16	model	model	VERB
alkej-19	35	17	the	the	DET
alkej-19	35	18	receptive	receptive	ADJ
alkej-19	35	19	fields	field	NOUN
alkej-19	35	20	of	of	ADP
alkej-19	35	21	the	the	DET
alkej-19	35	22	orientation	orientation	NOUN
alkej-19	35	23	selective	selective	ADJ
alkej-19	35	24	simple	simple	ADJ
alkej-19	35	25	cells	cell	NOUN
alkej-19	35	26	:	:	PUNCT
alkej-19	35	27	(	(	PUNCT
alkej-19	35	28	)	)	PUNCT
alkej-19	35	29			PROPN
alkej-19	35	30			PROPN
alkej-19	35	31			PROPN
alkej-19	35	32			PROPN
alkej-19	35	33			ADJ
alkej-19	35	34			ADJ
alkej-19	35	35			NUM
alkej-19	35	36			PROPN
alkej-19	35	37	−	−	PROPN
alkej-19	35	38	σ	σ	PROPN
alkej-19	35	39	=	=	PROPN
alkej-19	35	40	ψ	ψ	PROPN
alkej-19	35	41	σ	σ	PROPN
alkej-19	35	42	σ	σ	PROPN
alkej-19	35	43	22	22	NUM
alkej-19	35	44	2	2	NUM
alkej-19	35	45	2	2	NUM
alkej-19	35	46	2	2	NUM
alkej-19	35	47	2	2	NUM
alkej-19	35	48	22	22	NUM
alkej-19	35	49	eee	eee	NOUN
alkej-19	35	50	k	k	PROPN
alkej-19	35	51	x	x	PROPN
alkej-19	35	52	xkj	xkj	PROPN
alkej-19	35	53	xk	xk	INTJ
alkej-19	36	1	i	i	PRON
alkej-19	37	1	i	i	PRON
alkej-19	38	1	i	i	PRON
alkej-19	39	1	i	i	PRON
alkej-19	39	2	rr	rr	VERB
alkej-19	39	3	rrr	rrr	PROPN
alkej-19	39	4	r	r	NOUN
alkej-19	39	5	…	…	PUNCT
alkej-19	39	6	..	..	PUNCT
alkej-19	39	7	(	(	PUNCT
alkej-19	39	8	1	1	X
alkej-19	39	9	)	)	PUNCT
alkej-19	39	10	each	each	DET
alkej-19	39	11	iψ	iψ	NOUN
alkej-19	39	12	is	be	AUX
alkej-19	39	13	a	a	DET
alkej-19	39	14	plane	plane	NOUN
alkej-19	39	15	wave	wave	NOUN
alkej-19	39	16	characterized	characterize	VERB
alkej-19	39	17	by	by	ADP
alkej-19	39	18	the	the	DET
alkej-19	39	19	vector	vector	NOUN
alkej-19	39	20	ik	ik	PROPN
alkej-19	39	21	r	r	NOUN
alkej-19	39	22	enveloped	envelop	VERB
alkej-19	39	23	by	by	ADP
alkej-19	39	24	a	a	DET
alkej-19	39	25	gaussian	gaussian	ADJ
alkej-19	39	26	function	function	NOUN
alkej-19	39	27	,	,	PUNCT
alkej-19	39	28	where	where	SCONJ
alkej-19	39	29	σ	σ	PROPN
alkej-19	39	30	is	be	AUX
alkej-19	39	31	the	the	DET
alkej-19	39	32	standard	standard	ADJ
alkej-19	39	33	deviation	deviation	NOUN
alkej-19	39	34	of	of	ADP
alkej-19	39	35	this	this	DET
alkej-19	39	36	gaussian	gaussian	NOUN
alkej-19	39	37	.	.	PUNCT
alkej-19	40	1	the	the	DET
alkej-19	40	2	center	center	ADJ
alkej-19	40	3	frequency	frequency	NOUN
alkej-19	40	4	of	of	ADP
alkej-19	40	5	ith	ith	PROPN
alkej-19	40	6	filter	filter	NOUN
alkej-19	40	7	given	give	VERB
alkej-19	40	8	by	by	ADP
alkej-19	40	9	the	the	DET
alkej-19	40	10	characteristic	characteristic	ADJ
alkej-19	40	11	wave	wave	NOUN
alkej-19	40	12	vector	vector	NOUN
alkej-19	40	13	is	be	AUX
alkej-19	40	14	shown	show	VERB
alkej-19	40	15	below	below	ADP
alkej-19	40	16	[	[	X
alkej-19	40	17	5	5	NUM
alkej-19	40	18	]	]	PUNCT
alkej-19	40	19	:	:	PUNCT
alkej-19	40	20			NOUN
alkej-19	40	21			PUNCT
alkej-19	41	1			PROPN
alkej-19	41	2			NOUN
alkej-19	41	3			NOUN
alkej-19	41	4			VERB
alkej-19	41	5	θ	θ	X
alkej-19	41	6	θ	θ	NOUN
alkej-19	41	7	=	=	NOUN
alkej-19	41	8			VERB
alkej-19	41	9			PUNCT
alkej-19	42	1			PROPN
alkej-19	42	2			NOUN
alkej-19	42	3			PROPN
alkej-19	42	4	=	=	VERB
alkej-19	42	5	µ	µ	X
alkej-19	42	6	µ	µ	DET
alkej-19	42	7	sink	sink	NOUN
alkej-19	42	8	cosk	cosk	NOUN
alkej-19	42	9	k	k	PROPN
alkej-19	42	10	kk	kk	PROPN
alkej-19	43	1	v	v	INTJ
alkej-19	43	2	v	v	INTJ
alkej-19	43	3	iy	iy	INTJ
alkej-19	44	1	ix	ix	INTJ
alkej-19	44	2	i	i	INTJ
alkej-19	44	3	r	r	NOUN
alkej-19	44	4	…	…	PUNCT
alkej-19	44	5	..	..	PUNCT
alkej-19	44	6	(	(	PUNCT
alkej-19	44	7	2	2	X
alkej-19	44	8	)	)	PUNCT
alkej-19	44	9	having	have	VERB
alkej-19	44	10	a	a	DET
alkej-19	44	11	scale	scale	NOUN
alkej-19	44	12	and	and	CCONJ
alkej-19	44	13	orientation	orientation	NOUN
alkej-19	44	14	given	give	VERB
alkej-19	44	15	by	by	ADP
alkej-19	44	16	(	(	PUNCT
alkej-19	44	17	kv	kv	PROPN
alkej-19	44	18	,	,	PUNCT
alkej-19	44	19	θµ	θµ	PROPN
alkej-19	44	20	)	)	PUNCT
alkej-19	44	21	,	,	PUNCT
alkej-19	44	22	the	the	DET
alkej-19	44	23	first	first	ADJ
alkej-19	44	24	term	term	NOUN
alkej-19	44	25	in	in	ADP
alkej-19	44	26	the	the	DET
alkej-19	44	27	brackets	bracket	NOUN
alkej-19	44	28	(	(	PUNCT
alkej-19	44	29	1	1	X
alkej-19	44	30	)	)	PUNCT
alkej-19	44	31	determines	determine	VERB
alkej-19	44	32	the	the	DET
alkej-19	44	33	oscillatory	oscillatory	ADJ
alkej-19	44	34	part	part	NOUN
alkej-19	44	35	of	of	ADP
alkej-19	44	36	the	the	DET
alkej-19	44	37	kernel	kernel	NOUN
alkej-19	44	38	,	,	PUNCT
alkej-19	44	39	and	and	CCONJ
alkej-19	44	40	the	the	DET
alkej-19	44	41	second	second	ADJ
alkej-19	44	42	term	term	NOUN
alkej-19	44	43	compensates	compensate	NOUN
alkej-19	44	44	for	for	ADP
alkej-19	44	45	the	the	DET
alkej-19	44	46	dc	dc	PROPN
alkej-19	44	47	value	value	NOUN
alkej-19	44	48	of	of	ADP
alkej-19	44	49	the	the	DET
alkej-19	44	50	kernel	kernel	NOUN
alkej-19	44	51	.	.	PUNCT
alkej-19	45	1	subtracting	subtract	VERB
alkej-19	45	2	the	the	DET
alkej-19	45	3	dc	dc	PROPN
alkej-19	45	4	response	response	NOUN
alkej-19	45	5	,	,	PUNCT
alkej-19	45	6	gabor	gabor	NOUN
alkej-19	45	7	filters	filter	NOUN
alkej-19	45	8	becomes	become	VERB
alkej-19	45	9	insensitive	insensitive	ADJ
alkej-19	45	10	to	to	ADP
alkej-19	45	11	the	the	DET
alkej-19	45	12	overall	overall	ADJ
alkej-19	45	13	level	level	NOUN
alkej-19	45	14	of	of	ADP
alkej-19	45	15	illumination	illumination	NOUN
alkej-19	45	16	[	[	X
alkej-19	45	17	5	5	NUM
alkej-19	45	18	]	]	PUNCT
alkej-19	45	19	.	.	PUNCT
alkej-19	46	1	since	since	SCONJ
alkej-19	46	2	the	the	DET
alkej-19	46	3	gabor	gabor	PROPN
alkej-19	46	4	wavelet	wavelet	NOUN
alkej-19	46	5	transform	transform	NOUN
alkej-19	46	6	is	be	AUX
alkej-19	46	7	introduced	introduce	VERB
alkej-19	46	8	to	to	PART
alkej-19	46	9	computer	computer	NOUN
alkej-19	46	10	vision	vision	NOUN
alkej-19	46	11	area	area	NOUN
alkej-19	46	12	,	,	PUNCT
alkej-19	46	13	one	one	NUM
alkej-19	46	14	of	of	ADP
alkej-19	46	15	the	the	DET
alkej-19	46	16	most	most	ADV
alkej-19	46	17	important	important	ADJ
alkej-19	46	18	application	application	NOUN
alkej-19	46	19	areas	area	NOUN
alkej-19	46	20	for	for	ADP
alkej-19	46	21	2d	2d	PROPN
alkej-19	46	22	gabor	gabor	PROPN
alkej-19	46	23	wavelet	wavelet	NOUN
alkej-19	46	24	representation	representation	NOUN
alkej-19	46	25	is	be	AUX
alkej-19	46	26	face	face	NOUN
alkej-19	46	27	recognition	recognition	NOUN
alkej-19	46	28	.	.	PUNCT
alkej-19	47	1	in	in	ADP
alkej-19	47	2	the	the	DET
alkej-19	47	3	u.s	u.s	PROPN
alkej-19	47	4	.	.	PROPN
alkej-19	47	5	government	government	NOUN
alkej-19	47	6	activity	activity	NOUN
alkej-19	47	7	(	(	PUNCT
alkej-19	47	8	feret	feret	ADJ
alkej-19	47	9	program	program	NOUN
alkej-19	47	10	)	)	PUNCT
alkej-19	47	11	to	to	PART
alkej-19	47	12	find	find	VERB
alkej-19	47	13	the	the	DET
alkej-19	47	14	best	good	ADJ
alkej-19	47	15	face	face	NOUN
alkej-19	47	16	recognition	recognition	NOUN
alkej-19	47	17	system	system	NOUN
alkej-19	47	18	,	,	PUNCT
alkej-19	47	19	a	a	DET
alkej-19	47	20	system	system	NOUN
alkej-19	47	21	based	base	VERB
alkej-19	47	22	on	on	ADP
alkej-19	47	23	gabor	gabor	PROPN
alkej-19	47	24	wavelet	wavelet	PROPN
alkej-19	47	25	representation	representation	NOUN
alkej-19	47	26	of	of	ADP
alkej-19	47	27	the	the	DET
alkej-19	47	28	face	face	NOUN
alkej-19	47	29	image	image	NOUN
alkej-19	47	30	is	be	AUX
alkej-19	47	31	performed	perform	VERB
alkej-19	47	32	among	among	ADP
alkej-19	47	33	other	other	ADJ
alkej-19	47	34	systems	system	NOUN
alkej-19	47	35	on	on	ADP
alkej-19	47	36	several	several	ADJ
alkej-19	47	37	tests	test	NOUN
alkej-19	47	38	.	.	PUNCT
alkej-19	48	1	although	although	SCONJ
alkej-19	48	2	the	the	DET
alkej-19	48	3	recognition	recognition	NOUN
alkej-19	48	4	performance	performance	NOUN
alkej-19	48	5	of	of	ADP
alkej-19	48	6	this	this	DET
alkej-19	48	7	system	system	NOUN
alkej-19	48	8	shows	show	VERB
alkej-19	48	9	qualitative	qualitative	ADJ
alkej-19	48	10	similarities	similarity	NOUN
alkej-19	48	11	to	to	ADP
alkej-19	48	12	that	that	PRON
alkej-19	48	13	of	of	ADP
alkej-19	48	14	humans	human	NOUN
alkej-19	48	15	by	by	ADP
alkej-19	48	16	now	now	ADV
alkej-19	48	17	means	mean	NOUN
alkej-19	48	18	,	,	PUNCT
alkej-19	48	19	it	it	PRON
alkej-19	48	20	still	still	ADV
alkej-19	48	21	leaves	leave	VERB
alkej-19	48	22	plenty	plenty	NOUN
alkej-19	48	23	of	of	ADP
alkej-19	48	24	room	room	NOUN
alkej-19	48	25	for	for	ADP
alkej-19	48	26	improvement	improvement	NOUN
alkej-19	48	27	.	.	PUNCT
alkej-19	49	1	[	[	X
alkej-19	49	2	6	6	NUM
alkej-19	49	3	]	]	PUNCT
alkej-19	49	4	.	.	PUNCT
alkej-19	50	1	gabor	gabor	PROPN
alkej-19	50	2	filter	filter	PROPN
alkej-19	50	3	can	can	AUX
alkej-19	50	4	capture	capture	VERB
alkej-19	50	5	salient	salient	ADJ
alkej-19	50	6	visual	visual	ADJ
alkej-19	50	7	properties	property	NOUN
alkej-19	50	8	such	such	ADJ
alkej-19	50	9	as	as	ADP
alkej-19	50	10	spatial	spatial	ADJ
alkej-19	50	11	localization	localization	NOUN
alkej-19	50	12	,	,	PUNCT
alkej-19	50	13	orientation	orientation	NOUN
alkej-19	50	14	selectivity	selectivity	NOUN
alkej-19	50	15	,	,	PUNCT
alkej-19	50	16	and	and	CCONJ
alkej-19	50	17	spatial	spatial	ADJ
alkej-19	50	18	frequency	frequency	NOUN
alkej-19	50	19	characteristics	characteristic	NOUN
alkej-19	50	20	.	.	PUNCT
alkej-19	51	1	considering	consider	VERB
alkej-19	51	2	these	these	DET
alkej-19	51	3	excellent	excellent	ADJ
alkej-19	51	4	capacities	capacity	NOUN
alkej-19	51	5	and	and	CCONJ
alkej-19	51	6	its	its	PRON
alkej-19	51	7	great	great	ADJ
alkej-19	51	8	success	success	NOUN
alkej-19	51	9	in	in	ADP
alkej-19	51	10	face	face	NOUN
alkej-19	51	11	recognition	recognition	NOUN
alkej-19	51	12	,	,	PUNCT
alkej-19	51	13	gabor	gabor	PROPN
alkej-19	51	14	features	feature	NOUN
alkej-19	51	15	are	be	AUX
alkej-19	51	16	chosen	choose	VERB
alkej-19	51	17	to	to	PART
alkej-19	51	18	represent	represent	VERB
alkej-19	51	19	the	the	DET
alkej-19	51	20	face	face	NOUN
alkej-19	51	21	image	image	NOUN
alkej-19	51	22	.	.	PUNCT
alkej-19	52	1	gabor	gabor	PROPN
alkej-19	52	2	filters	filter	NOUN
alkej-19	52	3	are	be	AUX
alkej-19	52	4	defined	define	VERB
alkej-19	52	5	as	as	SCONJ
alkej-19	52	6	follows	follow	VERB
alkej-19	52	7	:	:	PUNCT
alkej-19	52	8	tarik	tarik	PROPN
alkej-19	52	9	zeyad	zeyad	PROPN
alkej-19	52	10	/al	/al	PROPN
alkej-19	52	11	-	-	PUNCT
alkej-19	52	12	khwarizmi	khwarizmi	PROPN
alkej-19	52	13	engineering	engineering	NOUN
alkej-19	52	14	journal	journal	PROPN
alkej-19	52	15	,	,	PUNCT
alkej-19	52	16	vol.1	vol.1	PROPN
alkej-19	52	17	,	,	PUNCT
alkej-19	52	18	no	no	INTJ
alkej-19	52	19	.	.	PUNCT
alkej-19	53	1	1,pp	1,pp	NUM
alkej-19	53	2	38	38	NUM
alkej-19	53	3	-	-	SYM
alkej-19	53	4	45	45	NUM
alkej-19	53	5	(	(	PUNCT
alkej-19	53	6	2005	2005	NUM
alkej-19	53	7	)	)	PUNCT
alkej-19	53	8	٤٠	٤٠	NUM
alkej-19	53	9	(	(	PUNCT
alkej-19	53	10	)	)	PUNCT
alkej-19	53	11			PROPN
alkej-19	53	12			PROPN
alkej-19	53	13			PROPN
alkej-19	53	14			PROPN
alkej-19	53	15			ADJ
alkej-19	53	16			ADJ
alkej-19	53	17			NUM
alkej-19	53	18			PROPN
alkej-19	53	19	−	−	PROPN
alkej-19	53	20	σ	σ	PROPN
alkej-19	53	21	=	=	PROPN
alkej-19	53	22	ψ	ψ	PROPN
alkej-19	53	23	σ	σ	PROPN
alkej-19	53	24	σ	σ	PROPN
alkej-19	53	25	22	22	NUM
alkej-19	53	26	2	2	NUM
alkej-19	53	27	2	2	NUM
alkej-19	53	28	2	2	NUM
alkej-19	53	29	2	2	NUM
alkej-19	53	30	22	22	NUM
alkej-19	53	31	eee	eee	NOUN
alkej-19	53	32	k	k	PROPN
alkej-19	53	33	x	x	X
alkej-19	53	34	zkj	zkj	VERB
alkej-19	53	35	zk	zk	PROPN
alkej-19	53	36	v	v	PROPN
alkej-19	53	37	,	,	PUNCT
alkej-19	53	38	u	u	NOUN
alkej-19	53	39	v	v	NOUN
alkej-19	53	40	,	,	PUNCT
alkej-19	53	41	u	u	NOUN
alkej-19	53	42	v	v	NOUN
alkej-19	53	43	,	,	PUNCT
alkej-19	53	44	u	u	NOUN
alkej-19	54	1	i	i	NOUN
alkej-19	54	2	r	r	VERB
alkej-19	54	3	rr	rr	NOUN
alkej-19	54	4	r	r	NOUN
alkej-19	54	5	…	…	PUNCT
alkej-19	54	6	..	..	PUNCT
alkej-19	54	7	(	(	PUNCT
alkej-19	54	8	3	3	X
alkej-19	54	9	)	)	PUNCT
alkej-19	54	10	where	where	SCONJ
alkej-19	54	11	uj	uj	PROPN
alkej-19	54	12	vv	vv	NOUN
alkej-19	54	13	,	,	PUNCT
alkej-19	54	14	u	u	PROPN
alkej-19	54	15	ekk	ekk	PROPN
alkej-19	54	16	φ=	φ=	NOUN
alkej-19	54	17	and	and	CCONJ
alkej-19	54	18	v	v	ADP
alkej-19	54	19	max	max	PROPN
alkej-19	54	20	v	v	NOUN
alkej-19	54	21	f	f	X
alkej-19	54	22	kk	kk	PROPN
alkej-19	54	23	=	=	PRON
alkej-19	54	24	gives	give	VERB
alkej-19	54	25	the	the	DET
alkej-19	54	26	frequency	frequency	NOUN
alkej-19	54	27	and	and	CCONJ
alkej-19	54	28	(	(	PUNCT
alkej-19	54	29	)	)	PUNCT
alkej-19	54	30	π∈φ	π∈φ	NOUN
alkej-19	54	31	π	π	PROPN
alkej-19	54	32	=	=	SYM
alkej-19	54	33	φ	φ	PROPN
alkej-19	54	34	,	,	PUNCT
alkej-19	54	35	,	,	PUNCT
alkej-19	54	36	u	u	NOUN
alkej-19	54	37	uu	uu	ADJ
alkej-19	54	38	0	0	NUM
alkej-19	54	39	8	8	NUM
alkej-19	54	40	gives	give	VERB
alkej-19	54	41	the	the	DET
alkej-19	54	42	orientation	orientation	NOUN
alkej-19	54	43	and	and	CCONJ
alkej-19	54	44	z=(x	z=(x	PROPN
alkej-19	54	45	,	,	PUNCT
alkej-19	54	46	y	y	PROPN
alkej-19	54	47	)	)	PUNCT
alkej-19	54	48	.	.	PUNCT
alkej-19	55	1	zjk	zjk	PROPN
alkej-19	55	2	v	v	PROPN
alkej-19	55	3	,	,	PUNCT
alkej-19	55	4	ue	ue	PROPN
alkej-19	55	5	is	be	AUX
alkej-19	55	6	the	the	DET
alkej-19	55	7	oscillatory	oscillatory	ADJ
alkej-19	55	8	wave	wave	NOUN
alkej-19	55	9	function	function	NOUN
alkej-19	55	10	,	,	PUNCT
alkej-19	55	11	whose	whose	DET
alkej-19	55	12	real	real	ADJ
alkej-19	55	13	part	part	NOUN
alkej-19	55	14	and	and	CCONJ
alkej-19	55	15	imaginary	imaginary	ADJ
alkej-19	55	16	part	part	NOUN
alkej-19	55	17	are	be	AUX
alkej-19	55	18	cosine	cosine	NOUN
alkej-19	55	19	function	function	NOUN
alkej-19	55	20	and	and	CCONJ
alkej-19	55	21	sinusoid	sinusoid	NOUN
alkej-19	55	22	function	function	NOUN
alkej-19	55	23	respectively	respectively	ADV
alkej-19	55	24	.	.	PUNCT
alkej-19	56	1	in	in	ADP
alkej-19	56	2	equation	equation	NOUN
alkej-19	56	3	(	(	PUNCT
alkej-19	56	4	2	2	NUM
alkej-19	56	5	)	)	PUNCT
alkej-19	56	6	,	,	PUNCT
alkej-19	56	7	v	v	NOUN
alkej-19	56	8	controls	control	VERB
alkej-19	56	9	the	the	DET
alkej-19	56	10	scale	scale	NOUN
alkej-19	56	11	of	of	ADP
alkej-19	56	12	gabor	gabor	PROPN
alkej-19	56	13	filter	filter	PROPN
alkej-19	56	14	,	,	PUNCT
alkej-19	56	15	which	which	PRON
alkej-19	56	16	mainly	mainly	ADV
alkej-19	56	17	determines	determine	VERB
alkej-19	56	18	the	the	DET
alkej-19	56	19	center	center	NOUN
alkej-19	56	20	of	of	ADP
alkej-19	56	21	the	the	DET
alkej-19	56	22	gabor	gabor	PROPN
alkej-19	56	23	filter	filter	NOUN
alkej-19	56	24	in	in	ADP
alkej-19	56	25	the	the	DET
alkej-19	56	26	frequency	frequency	NOUN
alkej-19	56	27	domain	domain	NOUN
alkej-19	56	28	;	;	PUNCT
alkej-19	56	29	u	u	NOUN
alkej-19	56	30	controls	control	VERB
alkej-19	56	31	the	the	DET
alkej-19	56	32	orientation	orientation	NOUN
alkej-19	56	33	of	of	ADP
alkej-19	56	34	gabor	gabor	PROPN
alkej-19	56	35	filters	filter	NOUN
alkej-19	56	36	[	[	X
alkej-19	56	37	4	4	NUM
alkej-19	56	38	]	]	PUNCT
alkej-19	56	39	.	.	PUNCT
alkej-19	57	1	the	the	DET
alkej-19	57	2	gabor	gabor	PROPN
alkej-19	57	3	filters	filter	NOUN
alkej-19	57	4	are	be	AUX
alkej-19	57	5	used	use	VERB
alkej-19	57	6	with	with	ADP
alkej-19	57	7	the	the	DET
alkej-19	57	8	following	follow	VERB
alkej-19	57	9	parameters	parameter	NOUN
alkej-19	57	10	:	:	PUNCT
alkej-19	57	11	five	five	NUM
alkej-19	57	12	scales	scale	NOUN
alkej-19	57	13	v	v	ADP
alkej-19	57	14	ε	ε	PROPN
alkej-19	57	15	{	{	PUNCT
alkej-19	57	16	0	0	NUM
alkej-19	57	17	,	,	PUNCT
alkej-19	57	18	1	1	NUM
alkej-19	57	19	,	,	PUNCT
alkej-19	57	20	2	2	NUM
alkej-19	57	21	,	,	PUNCT
alkej-19	57	22	3	3	NUM
alkej-19	57	23	,	,	PUNCT
alkej-19	57	24	4	4	NUM
alkej-19	57	25	,	,	PUNCT
alkej-19	57	26	5	5	NUM
alkej-19	57	27	}	}	PUNCT
alkej-19	57	28	and	and	CCONJ
alkej-19	57	29	eight	eight	NUM
alkej-19	57	30	orientations	orientation	NOUN
alkej-19	57	31	u	u	NOUN
alkej-19	57	32	ε	ε	X
alkej-19	57	33	{	{	PUNCT
alkej-19	57	34	0	0	NUM
alkej-19	57	35	,	,	PUNCT
alkej-19	57	36	1	1	NUM
alkej-19	57	37	,	,	PUNCT
alkej-19	57	38	2	2	NUM
alkej-19	57	39	,	,	PUNCT
alkej-19	57	40	3	3	NUM
alkej-19	57	41	,	,	PUNCT
alkej-19	57	42	4	4	NUM
alkej-19	57	43	,	,	PUNCT
alkej-19	57	44	5	5	NUM
alkej-19	57	45	,	,	PUNCT
alkej-19	57	46	6	6	NUM
alkej-19	57	47	,	,	PUNCT
alkej-19	57	48	7	7	NUM
alkej-19	57	49	}	}	PUNCT
alkej-19	57	50	with	with	ADP
alkej-19	57	51	σ	σ	NOUN
alkej-19	57	52	=	=	PUNCT
alkej-19	57	53	2π	2π	NOUN
alkej-19	57	54	,	,	PUNCT
alkej-19	57	55	maxk	maxk	NOUN
alkej-19	57	56	=	=	PUNCT
alkej-19	57	57	π	π	PROPN
alkej-19	57	58	/	/	SYM
alkej-19	57	59	2	2	NUM
alkej-19	57	60	,	,	PUNCT
alkej-19	57	61	and	and	CCONJ
alkej-19	57	62	f=	f=	NUM
alkej-19	57	63	2	2	NUM
alkej-19	57	64	[	[	X
alkej-19	57	65	7	7	NUM
alkej-19	57	66	]	]	PUNCT
alkej-19	57	67	.	.	PUNCT
alkej-19	58	1	the	the	DET
alkej-19	58	2	proposed	propose	VERB
alkej-19	58	3	face	face	NOUN
alkej-19	58	4	recognition	recognition	NOUN
alkej-19	58	5	method	method	VERB
alkej-19	58	6	the	the	DET
alkej-19	58	7	objective	objective	NOUN
alkej-19	58	8	of	of	ADP
alkej-19	58	9	this	this	DET
alkej-19	58	10	section	section	NOUN
alkej-19	58	11	is	be	AUX
alkej-19	58	12	to	to	PART
alkej-19	58	13	put	put	VERB
alkej-19	58	14	a	a	DET
alkej-19	58	15	block	block	NOUN
alkej-19	58	16	diagram	diagram	NOUN
alkej-19	58	17	which	which	PRON
alkej-19	58	18	stands	stand	VERB
alkej-19	58	19	for	for	ADP
alkej-19	58	20	the	the	DET
alkej-19	58	21	suggested	suggest	VERB
alkej-19	58	22	model	model	NOUN
alkej-19	58	23	,	,	PUNCT
alkej-19	58	24	convert	convert	VERB
alkej-19	58	25	each	each	DET
alkej-19	58	26	block	block	NOUN
alkej-19	58	27	into	into	ADP
alkej-19	58	28	a	a	DET
alkej-19	58	29	suitable	suitable	ADJ
alkej-19	58	30	mathematical	mathematical	ADJ
alkej-19	58	31	model	model	NOUN
alkej-19	58	32	,	,	PUNCT
alkej-19	58	33	and	and	CCONJ
alkej-19	58	34	finally	finally	ADV
alkej-19	58	35	define	define	VERB
alkej-19	58	36	model	model	NOUN
alkej-19	58	37	parameters	parameter	NOUN
alkej-19	58	38	in	in	ADP
alkej-19	58	39	order	order	NOUN
alkej-19	58	40	to	to	PART
alkej-19	58	41	improve	improve	VERB
alkej-19	58	42	its	its	PRON
alkej-19	58	43	qualification	qualification	NOUN
alkej-19	58	44	,	,	PUNCT
alkej-19	58	45	figure	figure	NOUN
alkej-19	58	46	(	(	PUNCT
alkej-19	58	47	1	1	NUM
alkej-19	58	48	)	)	PUNCT
alkej-19	59	1	shows	show	VERB
alkej-19	59	2	the	the	DET
alkej-19	59	3	proposed	propose	VERB
alkej-19	59	4	face	face	NOUN
alkej-19	59	5	recognition	recognition	NOUN
alkej-19	59	6	model	model	NOUN
alkej-19	59	7	.	.	PUNCT
alkej-19	60	1	tarik	tarik	PROPN
alkej-19	60	2	zeyad	zeyad	PROPN
alkej-19	60	3	/al	/al	PROPN
alkej-19	60	4	-	-	PUNCT
alkej-19	60	5	khwarizmi	khwarizmi	PROPN
alkej-19	60	6	engineering	engineering	NOUN
alkej-19	60	7	journal	journal	PROPN
alkej-19	60	8	,	,	PUNCT
alkej-19	60	9	vol.1	vol.1	PROPN
alkej-19	60	10	,	,	PUNCT
alkej-19	60	11	no	no	INTJ
alkej-19	60	12	.	.	PUNCT
alkej-19	61	1	1,pp	1,pp	NUM
alkej-19	61	2	38	38	NUM
alkej-19	61	3	-	-	SYM
alkej-19	61	4	45	45	NUM
alkej-19	61	5	(	(	PUNCT
alkej-19	61	6	2005	2005	NUM
alkej-19	61	7	)	)	PUNCT
alkej-19	61	8	٤١	٤١	NUM
alkej-19	61	9	step	step	NOUN
alkej-19	61	10	-1	-1	PUNCT
alkej-19	61	11	step-3	step-3	NUM
alkej-19	61	12	step	step	VERB
alkej-19	61	13	-2	-2	NOUN
alkej-19	62	1	b	b	NOUN
alkej-19	62	2	the	the	DET
alkej-19	62	3	feature	feature	NOUN
alkej-19	62	4	extraction	extraction	NOUN
alkej-19	62	5	model	model	NOUN
alkej-19	62	6	.	.	PUNCT
alkej-19	63	1	step	step	NOUN
alkej-19	63	2	-4	-4	PUNCT
alkej-19	64	1	c	c	NOUN
alkej-19	64	2	classification	classification	NOUN
alkej-19	64	3	model	model	NOUN
alkej-19	64	4	.	.	PUNCT
alkej-19	65	1	gabor	gabor	PROPN
alkej-19	65	2	feature	feature	PROPN
alkej-19	65	3	extraction	extraction	NOUN
alkej-19	65	4	.	.	PUNCT
alkej-19	66	1	the	the	DET
alkej-19	66	2	gabor	gabor	PROPN
alkej-19	66	3	filter	filter	NOUN
alkej-19	66	4	has	have	AUX
alkej-19	66	5	been	be	AUX
alkej-19	66	6	successfully	successfully	ADV
alkej-19	66	7	used	use	VERB
alkej-19	66	8	in	in	ADP
alkej-19	66	9	conjunction	conjunction	NOUN
alkej-19	66	10	with	with	ADP
alkej-19	66	11	the	the	DET
alkej-19	66	12	multilayer	multilayer	ADJ
alkej-19	66	13	self	self	NOUN
alkej-19	66	14	-	-	PUNCT
alkej-19	66	15	organizing	organize	VERB
alkej-19	66	16	maps	map	NOUN
alkej-19	66	17	(	(	PUNCT
alkej-19	66	18	msom	msom	NOUN
alkej-19	66	19	)	)	PUNCT
alkej-19	66	20	as	as	ADP
alkej-19	66	21	a	a	DET
alkej-19	66	22	feature	feature	NOUN
alkej-19	66	23	extraction	extraction	NOUN
alkej-19	66	24	for	for	ADP
alkej-19	66	25	face	face	NOUN
alkej-19	66	26	recognition	recognition	NOUN
alkej-19	66	27	.	.	PUNCT
alkej-19	67	1	gabor	gabor	PROPN
alkej-19	67	2	filters	filter	NOUN
alkej-19	67	3	are	be	AUX
alkej-19	67	4	orientation	orientation	NOUN
alkej-19	67	5	and	and	CCONJ
alkej-19	67	6	frequency	frequency	NOUN
alkej-19	67	7	sensitive	sensitive	ADJ
alkej-19	67	8	band	band	NOUN
alkej-19	67	9	pass	pass	NOUN
alkej-19	67	10	filters	filter	NOUN
alkej-19	67	11	that	that	PRON
alkej-19	67	12	provide	provide	VERB
alkej-19	67	13	optimal	optimal	ADJ
alkej-19	67	14	resolution	resolution	NOUN
alkej-19	67	15	in	in	ADP
alkej-19	67	16	both	both	CCONJ
alkej-19	67	17	the	the	DET
alkej-19	67	18	space	space	NOUN
alkej-19	67	19	and	and	CCONJ
alkej-19	67	20	spatial	spatial	ADJ
alkej-19	67	21	-	-	PUNCT
alkej-19	67	22	frequency	frequency	NOUN
alkej-19	67	23	domains	domain	NOUN
alkej-19	67	24	.	.	PUNCT
alkej-19	68	1	for	for	ADP
alkej-19	68	2	these	these	DET
alkej-19	68	3	reasons	reason	NOUN
alkej-19	68	4	,	,	PUNCT
alkej-19	68	5	they	they	PRON
alkej-19	68	6	are	be	AUX
alkej-19	68	7	suitable	suitable	ADJ
alkej-19	68	8	for	for	ADP
alkej-19	68	9	extracting	extract	VERB
alkej-19	68	10	frequency	frequency	NOUN
alkej-19	68	11	dependent	dependent	ADJ
alkej-19	68	12	information	information	NOUN
alkej-19	68	13	like	like	ADP
alkej-19	68	14	edge	edge	NOUN
alkej-19	68	15	features	feature	NOUN
alkej-19	68	16	from	from	ADP
alkej-19	68	17	a	a	DET
alkej-19	68	18	small	small	ADJ
alkej-19	68	19	area	area	NOUN
alkej-19	68	20	.	.	PUNCT
alkej-19	69	1	gabor	gabor	PROPN
alkej-19	69	2	filters	filter	NOUN
alkej-19	69	3	have	have	AUX
alkej-19	69	4	also	also	ADV
alkej-19	69	5	been	be	AUX
alkej-19	69	6	used	use	VERB
alkej-19	69	7	in	in	ADP
alkej-19	69	8	other	other	ADJ
alkej-19	69	9	pattern	pattern	NOUN
alkej-19	69	10	recognition	recognition	NOUN
alkej-19	69	11	systems	system	NOUN
alkej-19	69	12	.	.	PUNCT
alkej-19	70	1	the	the	DET
alkej-19	70	2	twodimensional	twodimensional	ADJ
alkej-19	70	3	gabor	gabor	NOUN
alkej-19	70	4	filter	filter	NOUN
alkej-19	70	5	was	be	AUX
alkej-19	70	6	described	describe	VERB
alkej-19	70	7	by	by	ADP
alkej-19	70	8	equation	equation	NOUN
alkej-19	70	9	(	(	PUNCT
alkej-19	70	10	1	1	NUM
alkej-19	70	11	)	)	PUNCT
alkej-19	70	12	.	.	PUNCT
alkej-19	71	1	here	here	ADV
alkej-19	71	2	linear	linear	PROPN
alkej-19	71	3	and	and	CCONJ
alkej-19	71	4	nonlinear	nonlinear	ADJ
alkej-19	71	5	shapes	shape	NOUN
alkej-19	71	6	were	be	AUX
alkej-19	71	7	chosen	choose	VERB
alkej-19	71	8	for	for	ADP
alkej-19	71	9	the	the	DET
alkej-19	71	10	analysis	analysis	NOUN
alkej-19	71	11	using	use	VERB
alkej-19	71	12	self	self	NOUN
alkej-19	71	13	-	-	PUNCT
alkej-19	71	14	organizing	organize	VERB
alkej-19	71	15	maps	map	NOUN
alkej-19	71	16	.	.	PUNCT
alkej-19	72	1	the	the	DET
alkej-19	72	2	linear	linear	ADJ
alkej-19	72	3	shapes	shape	NOUN
alkej-19	72	4	were	be	AUX
alkej-19	72	5	squares	square	NOUN
alkej-19	72	6	,	,	PUNCT
alkej-19	72	7	circles	circle	NOUN
alkej-19	72	8	and	and	CCONJ
alkej-19	72	9	hexagonal	hexagonal	ADJ
alkej-19	72	10	grids	grid	NOUN
alkej-19	72	11	.	.	PUNCT
alkej-19	73	1	the	the	DET
alkej-19	73	2	nonlinear	nonlinear	ADJ
alkej-19	73	3	grids	grid	NOUN
alkej-19	73	4	were	be	AUX
alkej-19	73	5	taken	take	VERB
alkej-19	73	6	in	in	ADP
alkej-19	73	7	a	a	DET
alkej-19	73	8	shape	shape	NOUN
alkej-19	73	9	close	close	ADV
alkej-19	73	10	to	to	ADP
alkej-19	73	11	the	the	DET
alkej-19	73	12	cross	cross	NOUN
alkej-19	73	13	.	.	PUNCT
alkej-19	74	1	the	the	DET
alkej-19	74	2	feature	feature	NOUN
alkej-19	74	3	extraction	extraction	NOUN
alkej-19	74	4	system	system	NOUN
alkej-19	74	5	is	be	AUX
alkej-19	74	6	a	a	DET
alkej-19	74	7	combination	combination	NOUN
alkej-19	74	8	of	of	ADP
alkej-19	74	9	the	the	DET
alkej-19	74	10	gabor	gabor	NOUN
alkej-19	74	11	filter	filter	NOUN
alkej-19	74	12	and	and	CCONJ
alkej-19	74	13	three	three	NUM
alkej-19	74	14	self	self	NOUN
alkej-19	74	15	-	-	PUNCT
alkej-19	74	16	organizing	organize	VERB
alkej-19	74	17	maps	map	NOUN
alkej-19	74	18	(	(	PUNCT
alkej-19	74	19	som	som	NOUN
alkej-19	74	20	)	)	PUNCT
alkej-19	74	21	.	.	PUNCT
alkej-19	75	1	each	each	DET
alkej-19	75	2	time	time	NOUN
alkej-19	75	3	the	the	DET
alkej-19	75	4	system	system	NOUN
alkej-19	75	5	is	be	AUX
alkej-19	75	6	applied	apply	VERB
alkej-19	75	7	to	to	ADP
alkej-19	75	8	an	an	DET
alkej-19	75	9	image	image	NOUN
alkej-19	75	10	the	the	DET
alkej-19	75	11	output	output	NOUN
alkej-19	75	12	is	be	AUX
alkej-19	75	13	a	a	DET
alkej-19	75	14	set	set	NOUN
alkej-19	75	15	of	of	ADP
alkej-19	75	16	500	500	NUM
alkej-19	75	17	feature	feature	NOUN
alkej-19	75	18	values	value	NOUN
alkej-19	75	19	,	,	PUNCT
alkej-19	75	20	corresponding	correspond	VERB
alkej-19	75	21	to	to	ADP
alkej-19	75	22	500	500	NUM
alkej-19	75	23	x	x	NOUN
alkej-19	75	24	and	and	CCONJ
alkej-19	75	25	y	y	PROPN
alkej-19	75	26	position	position	NOUN
alkej-19	75	27	on	on	ADP
alkej-19	75	28	the	the	DET
alkej-19	75	29	original	original	ADJ
alkej-19	75	30	images	image	NOUN
alkej-19	75	31	.	.	PUNCT
alkej-19	76	1	the	the	DET
alkej-19	76	2	two	two	NUM
alkej-19	76	3	2	2	NUM
alkej-19	76	4	-	-	PUNCT
alkej-19	76	5	dimension	dimension	NOUN
alkej-19	76	6	soms	som	NOUN
alkej-19	76	7	are	be	AUX
alkej-19	76	8	trained	train	VERB
alkej-19	76	9	by	by	ADP
alkej-19	76	10	the	the	DET
alkej-19	76	11	unsupervised	unsupervised	ADJ
alkej-19	76	12	method	method	NOUN
alkej-19	76	13	,	,	PUNCT
alkej-19	76	14	with	with	ADP
alkej-19	76	15	each	each	DET
alkej-19	76	16	node	node	NOUN
alkej-19	76	17	storing	store	VERB
alkej-19	76	18	the	the	DET
alkej-19	76	19	eight	eight	NUM
alkej-19	76	20	values	value	NOUN
alkej-19	76	21	corresponding	correspond	VERB
alkej-19	76	22	to	to	ADP
alkej-19	76	23	a	a	DET
alkej-19	76	24	gabor	gabor	NOUN
alkej-19	76	25	jet	jet	NOUN
alkej-19	76	26	.	.	PUNCT
alkej-19	77	1	the	the	DET
alkej-19	77	2	1dimension	1dimension	NUM
alkej-19	77	3	som	som	NOUN
alkej-19	77	4	has	have	VERB
alkej-19	77	5	256	256	NUM
alkej-19	77	6	nodes	node	NOUN
alkej-19	77	7	and	and	CCONJ
alkej-19	77	8	each	each	DET
alkej-19	77	9	map	map	NOUN
alkej-19	77	10	has	have	VERB
alkej-19	77	11	six	six	NUM
alkej-19	77	12	values	value	NOUN
alkej-19	77	13	.	.	PUNCT
alkej-19	78	1	local	local	ADJ
alkej-19	78	2	image	image	NOUN
alkej-19	78	3	sampling	sample	VERB
alkej-19	78	4	.	.	PUNCT
alkej-19	79	1	local	local	ADJ
alkej-19	79	2	image	image	NOUN
alkej-19	79	3	sampling	sample	VERB
alkej-19	79	4	is	be	AUX
alkej-19	79	5	a	a	DET
alkej-19	79	6	used	use	VERB
alkej-19	79	7	as	as	ADP
alkej-19	79	8	an	an	DET
alkej-19	79	9	attempt	attempt	NOUN
alkej-19	79	10	to	to	PART
alkej-19	79	11	identify	identify	VERB
alkej-19	79	12	distinguishing	distinguish	VERB
alkej-19	79	13	features	feature	NOUN
alkej-19	79	14	by	by	ADP
alkej-19	79	15	presenting	present	VERB
alkej-19	79	16	a	a	DET
alkej-19	79	17	small	small	ADJ
alkej-19	79	18	portion	portion	NOUN
alkej-19	79	19	of	of	ADP
alkej-19	79	20	the	the	DET
alkej-19	79	21	image	image	NOUN
alkej-19	79	22	to	to	ADP
alkej-19	79	23	a	a	DET
alkej-19	79	24	system	system	NOUN
alkej-19	79	25	such	such	ADJ
alkej-19	79	26	as	as	ADP
alkej-19	79	27	a	a	DET
alkej-19	79	28	selforganizing	selforganize	VERB
alkej-19	79	29	map	map	NOUN
alkej-19	79	30	.	.	PUNCT
alkej-19	80	1	this	this	DET
alkej-19	80	2	som	som	NOUN
alkej-19	80	3	job	job	NOUN
alkej-19	80	4	is	be	AUX
alkej-19	80	5	then	then	ADV
alkej-19	80	6	to	to	PART
alkej-19	80	7	identify	identify	VERB
alkej-19	80	8	the	the	DET
alkej-19	80	9	presented	present	VERB
alkej-19	80	10	image	image	NOUN
alkej-19	80	11	portion	portion	NOUN
alkej-19	80	12	as	as	ADP
alkej-19	80	13	a	a	DET
alkej-19	80	14	useful	useful	ADJ
alkej-19	80	15	feature	feature	NOUN
alkej-19	80	16	.	.	PUNCT
alkej-19	81	1	thus	thus	ADV
alkej-19	81	2	by	by	ADP
alkej-19	81	3	gabor	gabor	PROPN
alkej-19	81	4	feature	feature	NOUN
alkej-19	81	5	extraction	extraction	NOUN
alkej-19	81	6	image	image	NOUN
alkej-19	81	7	sampling	sample	VERB
alkej-19	81	8	1dimension	1dimension	NUM
alkej-19	81	9	som	som	NOUN
alkej-19	81	10	2dimension	2dimension	PROPN
alkej-19	81	11	som	som	NOUN
alkej-19	81	12	self	self	NOUN
alkej-19	81	13	organizing	organizing	NOUN
alkej-19	81	14	map	map	NOUN
alkej-19	81	15	(	(	PUNCT
alkej-19	81	16	som	som	NOUN
alkej-19	81	17	)	)	PUNCT
alkej-19	81	18	linear	linear	PROPN
alkej-19	81	19	and	and	CCONJ
alkej-19	81	20	nonlinear	nonlinear	PROPN
alkej-19	81	21	tarik	tarik	PROPN
alkej-19	81	22	zeyad	zeyad	PROPN
alkej-19	81	23	/al	/al	PROPN
alkej-19	81	24	-	-	PUNCT
alkej-19	81	25	khwarizmi	khwarizmi	PROPN
alkej-19	81	26	engineering	engineering	NOUN
alkej-19	81	27	journal	journal	PROPN
alkej-19	81	28	,	,	PUNCT
alkej-19	81	29	vol.1	vol.1	PROPN
alkej-19	81	30	,	,	PUNCT
alkej-19	81	31	no	no	INTJ
alkej-19	81	32	.	.	PUNCT
alkej-19	82	1	1,pp	1,pp	NUM
alkej-19	82	2	38	38	NUM
alkej-19	82	3	-	-	SYM
alkej-19	82	4	45	45	NUM
alkej-19	82	5	(	(	PUNCT
alkej-19	82	6	2005	2005	NUM
alkej-19	82	7	)	)	PUNCT
alkej-19	82	8	٤٢	٤٢	NUM
alkej-19	82	9	unsupervised	unsupervised	ADJ
alkej-19	82	10	learning	learn	VERB
alkej-19	82	11	the	the	DET
alkej-19	82	12	som	som	NOUN
alkej-19	82	13	will	will	AUX
alkej-19	82	14	learn	learn	VERB
alkej-19	82	15	what	what	PRON
alkej-19	82	16	different	different	ADJ
alkej-19	82	17	image	image	NOUN
alkej-19	82	18	portions	portion	NOUN
alkej-19	82	19	represent	represent	VERB
alkej-19	82	20	.	.	PUNCT
alkej-19	83	1	this	this	PRON
alkej-19	83	2	is	be	AUX
alkej-19	83	3	however	however	ADV
alkej-19	83	4	not	not	PART
alkej-19	83	5	an	an	DET
alkej-19	83	6	ideal	ideal	ADJ
alkej-19	83	7	form	form	NOUN
alkej-19	83	8	of	of	ADP
alkej-19	83	9	input	input	NOUN
alkej-19	83	10	into	into	ADP
alkej-19	83	11	a	a	DET
alkej-19	83	12	one	one	NUM
alkej-19	83	13	dimensional	dimensional	ADJ
alkej-19	83	14	single	single	ADJ
alkej-19	83	15	layer	layer	NOUN
alkej-19	83	16	som	som	NOUN
alkej-19	83	17	classifier	classifier	NOUN
alkej-19	83	18	as	as	SCONJ
alkej-19	83	19	used	use	VERB
alkej-19	83	20	in	in	ADP
alkej-19	83	21	this	this	DET
alkej-19	83	22	work	work	NOUN
alkej-19	83	23	.	.	PUNCT
alkej-19	84	1	there	there	PRON
alkej-19	84	2	are	be	VERB
alkej-19	84	3	two	two	NUM
alkej-19	84	4	methods	method	NOUN
alkej-19	84	5	for	for	ADP
alkej-19	84	6	obtaining	obtain	VERB
alkej-19	84	7	the	the	DET
alkej-19	84	8	image	image	NOUN
alkej-19	84	9	sample	sample	NOUN
alkej-19	84	10	vectors	vector	NOUN
alkej-19	84	11	.	.	PUNCT
alkej-19	85	1	these	these	PRON
alkej-19	85	2	are	be	AUX
alkej-19	85	3	described	describe	VERB
alkej-19	85	4	as	as	SCONJ
alkej-19	85	5	follows	follow	VERB
alkej-19	85	6	:	:	PUNCT
alkej-19	86	1	1	1	X
alkej-19	86	2	.	.	PUNCT
alkej-19	86	3	the	the	DET
alkej-19	86	4	first	first	ADJ
alkej-19	86	5	method	method	NOUN
alkej-19	86	6	simply	simply	ADV
alkej-19	86	7	creates	create	VERB
alkej-19	86	8	a	a	DET
alkej-19	86	9	vector	vector	NOUN
alkej-19	86	10	from	from	ADP
alkej-19	86	11	a	a	DET
alkej-19	86	12	local	local	ADJ
alkej-19	86	13	window	window	NOUN
alkej-19	86	14	on	on	ADP
alkej-19	86	15	the	the	DET
alkej-19	86	16	image	image	NOUN
alkej-19	86	17	using	use	VERB
alkej-19	86	18	the	the	DET
alkej-19	86	19	intensity	intensity	NOUN
alkej-19	86	20	values	value	NOUN
alkej-19	86	21	at	at	ADP
alkej-19	86	22	each	each	DET
alkej-19	86	23	point	point	NOUN
alkej-19	86	24	in	in	ADP
alkej-19	86	25	the	the	DET
alkej-19	86	26	window	window	NOUN
alkej-19	86	27	.	.	PUNCT
alkej-19	87	1	let	let	VERB
alkej-19	87	2	xij	xij	PRON
alkej-19	87	3	be	be	AUX
alkej-19	87	4	the	the	DET
alkej-19	87	5	intensity	intensity	NOUN
alkej-19	87	6	at	at	ADP
alkej-19	87	7	the	the	DET
alkej-19	87	8	ith	ith	PROPN
alkej-19	87	9	row	row	NOUN
alkej-19	87	10	and	and	CCONJ
alkej-19	87	11	the	the	DET
alkej-19	87	12	jth	jth	PROPN
alkej-19	87	13	column	column	NOUN
alkej-19	87	14	of	of	ADP
alkej-19	87	15	the	the	DET
alkej-19	87	16	given	give	VERB
alkej-19	87	17	image	image	NOUN
alkej-19	87	18	.	.	PUNCT
alkej-19	88	1	if	if	SCONJ
alkej-19	88	2	the	the	DET
alkej-19	88	3	local	local	ADJ
alkej-19	88	4	window	window	NOUN
alkej-19	88	5	is	be	AUX
alkej-19	88	6	a	a	DET
alkej-19	88	7	square	square	NOUN
alkej-19	88	8	of	of	ADP
alkej-19	88	9	sides	side	NOUN
alkej-19	88	10	2w	2w	NUM
alkej-19	88	11	+	+	CCONJ
alkej-19	88	12	1	1	NUM
alkej-19	88	13	long	long	ADV
alkej-19	88	14	,	,	PUNCT
alkej-19	88	15	centered	center	VERB
alkej-19	88	16	on	on	ADP
alkej-19	88	17	xij	xij	PROPN
alkej-19	88	18	,	,	PUNCT
alkej-19	88	19	then	then	ADV
alkej-19	88	20	the	the	DET
alkej-19	88	21	vector	vector	NOUN
alkej-19	88	22	associated	associate	VERB
alkej-19	88	23	with	with	ADP
alkej-19	88	24	this	this	DET
alkej-19	88	25	window	window	NOUN
alkej-19	88	26	is	be	AUX
alkej-19	88	27	simply	simply	ADV
alkej-19	88	28	[	[	X
alkej-19	88	29	xi	xi	X
alkej-19	88	30	-	-	PUNCT
alkej-19	88	31	w	w	PROPN
alkej-19	88	32	,	,	PUNCT
alkej-19	88	33	j	j	PROPN
alkej-19	88	34	-	-	PUNCT
alkej-19	88	35	w	w	PROPN
alkej-19	88	36	,	,	PUNCT
alkej-19	88	37	xi	xi	PROPN
alkej-19	88	38	-	-	PUNCT
alkej-19	88	39	w	w	PROPN
alkej-19	88	40	,	,	PUNCT
alkej-19	88	41	j	j	PROPN
alkej-19	88	42	-	-	PUNCT
alkej-19	88	43	w+1	w+1	PROPN
alkej-19	88	44	,	,	PUNCT
alkej-19	88	45	...	...	PUNCT
alkej-19	89	1	xij	xij	X
alkej-19	89	2	,	,	PUNCT
alkej-19	89	3	...	...	PUNCT
alkej-19	90	1	xi+w	xi+w	NUM
alkej-19	90	2	,	,	PUNCT
alkej-19	90	3	j+	j+	NUM
alkej-19	90	4	w-1	w-1	NOUN
alkej-19	90	5	,	,	PUNCT
alkej-19	90	6	xi+w	xi+w	NUM
alkej-19	90	7	,	,	PUNCT
alkej-19	90	8	j+	j+	NUM
alkej-19	90	9	w	w	NOUN
alkej-19	90	10	]	]	X
alkej-19	90	11	.	.	PUNCT
alkej-19	91	1	2	2	X
alkej-19	91	2	.	.	X
alkej-19	91	3	the	the	DET
alkej-19	91	4	second	second	ADJ
alkej-19	91	5	method	method	NOUN
alkej-19	91	6	creates	create	VERB
alkej-19	91	7	a	a	DET
alkej-19	91	8	representation	representation	NOUN
alkej-19	91	9	of	of	ADP
alkej-19	91	10	the	the	DET
alkej-19	91	11	local	local	ADJ
alkej-19	91	12	sample	sample	NOUN
alkej-19	91	13	by	by	ADP
alkej-19	91	14	forming	form	VERB
alkej-19	91	15	a	a	DET
alkej-19	91	16	vector	vector	NOUN
alkej-19	91	17	of	of	ADP
alkej-19	91	18	the	the	DET
alkej-19	91	19	intensity	intensity	NOUN
alkej-19	91	20	of	of	ADP
alkej-19	91	21	the	the	DET
alkej-19	91	22	centre	centre	NOUN
alkej-19	91	23	pixel	pixel	NOUN
alkej-19	91	24	and	and	CCONJ
alkej-19	91	25	all	all	DET
alkej-19	91	26	other	other	ADJ
alkej-19	91	27	pixels	pixel	NOUN
alkej-19	91	28	within	within	ADP
alkej-19	91	29	the	the	DET
alkej-19	91	30	square	square	NOUN
alkej-19	91	31	.	.	PUNCT
alkej-19	92	1	the	the	DET
alkej-19	92	2	vector	vector	NOUN
alkej-19	92	3	is	be	AUX
alkej-19	92	4	given	give	VERB
alkej-19	92	5	by	by	ADP
alkej-19	92	6	[	[	PUNCT
alkej-19	92	7	xij	xij	X
alkej-19	92	8	–	–	PUNCT
alkej-19	92	9	xi	xi	PROPN
alkej-19	92	10	-	-	PUNCT
alkej-19	92	11	w	w	PROPN
alkej-19	92	12	,	,	PUNCT
alkej-19	92	13	j	j	PROPN
alkej-19	92	14	-	-	PUNCT
alkej-19	92	15	w	w	PROPN
alkej-19	92	16	,	,	PUNCT
alkej-19	92	17	xij	xij	PROPN
alkej-19	92	18	–	–	PUNCT
alkej-19	92	19	xi	xi	PROPN
alkej-19	92	20	-	-	PUNCT
alkej-19	92	21	w	w	PROPN
alkej-19	92	22	,	,	PUNCT
alkej-19	92	23	j	j	PROPN
alkej-19	92	24	-	-	PUNCT
alkej-19	92	25	w+1	w+1	PROPN
alkej-19	92	26	,	,	PUNCT
alkej-19	92	27	...	...	PUNCT
alkej-19	93	1	xij	xij	X
alkej-19	93	2	,	,	PUNCT
alkej-19	93	3	...	...	PUNCT
alkej-19	93	4	xij	xij	PROPN
alkej-19	93	5	–	–	PUNCT
alkej-19	93	6	xi+w	xi+w	NUM
alkej-19	93	7	,	,	PUNCT
alkej-19	93	8	j+w-1	j+w-1	PROPN
alkej-19	93	9	,	,	PUNCT
alkej-19	93	10	xij	xij	PROPN
alkej-19	93	11	–	–	PUNCT
alkej-19	93	12	xi+w	xi+w	NUM
alkej-19	93	13	,	,	PUNCT
alkej-19	93	14	j+w	j+w	NUM
alkej-19	93	15	]	]	PUNCT
alkej-19	93	16	.	.	PUNCT
alkej-19	94	1	the	the	DET
alkej-19	94	2	resulting	result	VERB
alkej-19	94	3	representation	representation	NOUN
alkej-19	94	4	becomes	become	VERB
alkej-19	94	5	partially	partially	ADV
alkej-19	94	6	invariant	invariant	ADJ
alkej-19	94	7	to	to	ADP
alkej-19	94	8	variations	variation	NOUN
alkej-19	94	9	in	in	ADP
alkej-19	94	10	the	the	DET
alkej-19	94	11	intensity	intensity	NOUN
alkej-19	94	12	of	of	ADP
alkej-19	94	13	the	the	DET
alkej-19	94	14	complete	complete	ADJ
alkej-19	94	15	sample	sample	NOUN
alkej-19	94	16	.	.	PUNCT
alkej-19	95	1	self	self	NOUN
alkej-19	95	2	feature	feature	NOUN
alkej-19	95	3	clustering	cluster	VERB
alkej-19	95	4	selforganizing	selforganize	VERB
alkej-19	95	5	maps	map	NOUN
alkej-19	95	6	.	.	PUNCT
alkej-19	96	1	self	self	NOUN
alkej-19	96	2	-	-	PUNCT
alkej-19	96	3	organizing	organize	VERB
alkej-19	96	4	maps	map	NOUN
alkej-19	96	5	(	(	PUNCT
alkej-19	96	6	som	som	NOUN
alkej-19	96	7	)	)	PUNCT
alkej-19	96	8	were	be	AUX
alkej-19	96	9	initially	initially	ADV
alkej-19	96	10	developed	develop	VERB
alkej-19	96	11	by	by	ADP
alkej-19	96	12	kohonen	kohonen	PROPN
alkej-19	97	1	[	[	X
alkej-19	97	2	8	8	NUM
alkej-19	97	3	]	]	PUNCT
alkej-19	97	4	.	.	PUNCT
alkej-19	98	1	the	the	DET
alkej-19	98	2	som	som	NOUN
alkej-19	98	3	can	can	AUX
alkej-19	98	4	be	be	AUX
alkej-19	98	5	arranged	arrange	VERB
alkej-19	98	6	to	to	PART
alkej-19	98	7	perform	perform	VERB
alkej-19	98	8	classification	classification	NOUN
alkej-19	98	9	and	and	CCONJ
alkej-19	98	10	feature	feature	NOUN
alkej-19	98	11	extraction	extraction	NOUN
alkej-19	98	12	,	,	PUNCT
alkej-19	98	13	although	although	SCONJ
alkej-19	98	14	in	in	ADP
alkej-19	98	15	this	this	DET
alkej-19	98	16	section	section	NOUN
alkej-19	98	17	the	the	DET
alkej-19	98	18	som	som	NOUN
alkej-19	98	19	is	be	AUX
alkej-19	98	20	only	only	ADV
alkej-19	98	21	presented	present	VERB
alkej-19	98	22	as	as	ADP
alkej-19	98	23	a	a	DET
alkej-19	98	24	feature	feature	NOUN
alkej-19	98	25	extraction	extraction	NOUN
alkej-19	98	26	method	method	NOUN
alkej-19	98	27	,	,	PUNCT
alkej-19	98	28	in	in	ADP
alkej-19	98	29	the	the	DET
alkej-19	98	30	next	next	ADJ
alkej-19	98	31	section	section	NOUN
alkej-19	98	32	the	the	DET
alkej-19	98	33	som	som	NOUN
alkej-19	98	34	will	will	AUX
alkej-19	98	35	be	be	AUX
alkej-19	98	36	re	re	VERB
alkej-19	98	37	-	-	VERB
alkej-19	98	38	examined	examine	VERB
alkej-19	98	39	as	as	ADP
alkej-19	98	40	a	a	DET
alkej-19	98	41	classifier	classifier	NOUN
alkej-19	98	42	.	.	PUNCT
alkej-19	99	1	the	the	DET
alkej-19	99	2	theoretical	theoretical	ADJ
alkej-19	99	3	study	study	NOUN
alkej-19	99	4	of	of	ADP
alkej-19	99	5	the	the	DET
alkej-19	99	6	som	som	NOUN
alkej-19	99	7	will	will	AUX
alkej-19	99	8	be	be	AUX
alkej-19	99	9	explained	explain	VERB
alkej-19	99	10	in	in	ADP
alkej-19	99	11	the	the	DET
alkej-19	99	12	next	next	ADJ
alkej-19	99	13	step	step	NOUN
alkej-19	99	14	,	,	PUNCT
alkej-19	99	15	as	as	SCONJ
alkej-19	99	16	this	this	DET
alkej-19	99	17	knowledge	knowledge	NOUN
alkej-19	99	18	is	be	AUX
alkej-19	99	19	not	not	PART
alkej-19	99	20	essential	essential	ADJ
alkej-19	99	21	when	when	SCONJ
alkej-19	99	22	comparing	compare	VERB
alkej-19	99	23	feature	feature	NOUN
alkej-19	99	24	extraction	extraction	NOUN
alkej-19	99	25	methods	method	NOUN
alkej-19	99	26	.	.	PUNCT
alkej-19	100	1	the	the	DET
alkej-19	100	2	som	som	NOUN
alkej-19	100	3	is	be	AUX
alkej-19	100	4	an	an	DET
alkej-19	100	5	ideal	ideal	ADJ
alkej-19	100	6	method	method	NOUN
alkej-19	100	7	to	to	PART
alkej-19	100	8	use	use	VERB
alkej-19	100	9	in	in	ADP
alkej-19	100	10	conjunction	conjunction	NOUN
alkej-19	100	11	with	with	ADP
alkej-19	100	12	another	another	DET
alkej-19	100	13	feature	feature	NOUN
alkej-19	100	14	extraction	extraction	NOUN
alkej-19	100	15	such	such	ADJ
alkej-19	100	16	as	as	ADP
alkej-19	100	17	the	the	DET
alkej-19	100	18	gabor	gabor	PROPN
alkej-19	100	19	filter	filter	NOUN
alkej-19	100	20	,	,	PUNCT
alkej-19	100	21	or	or	CCONJ
alkej-19	100	22	local	local	ADJ
alkej-19	100	23	image	image	NOUN
alkej-19	100	24	sampling	sample	VERB
alkej-19	100	25	as	as	SCONJ
alkej-19	100	26	the	the	DET
alkej-19	100	27	feature	feature	NOUN
alkej-19	100	28	values	value	NOUN
alkej-19	100	29	are	be	AUX
alkej-19	100	30	topologically	topologically	ADV
alkej-19	100	31	organized	organize	VERB
alkej-19	100	32	without	without	ADP
alkej-19	100	33	using	use	VERB
alkej-19	100	34	any	any	DET
alkej-19	100	35	prior	prior	ADJ
alkej-19	100	36	knowledge	knowledge	NOUN
alkej-19	100	37	.	.	PUNCT
alkej-19	101	1	the	the	DET
alkej-19	101	2	2	2	NUM
alkej-19	101	3	-	-	PUNCT
alkej-19	101	4	dimension	dimension	NOUN
alkej-19	101	5	som	som	NOUN
alkej-19	101	6	’s	’s	PART
alkej-19	101	7	are	be	AUX
alkej-19	101	8	trained	train	VERB
alkej-19	101	9	by	by	ADP
alkej-19	101	10	the	the	DET
alkej-19	101	11	unsupervised	unsupervised	ADJ
alkej-19	101	12	method	method	NOUN
alkej-19	101	13	,	,	PUNCT
alkej-19	101	14	which	which	PRON
alkej-19	101	15	is	be	AUX
alkej-19	101	16	explained	explain	VERB
alkej-19	101	17	in	in	ADP
alkej-19	101	18	the	the	DET
alkej-19	101	19	next	next	ADJ
alkej-19	101	20	step	step	NOUN
alkej-19	101	21	,	,	PUNCT
alkej-19	101	22	with	with	ADP
alkej-19	101	23	each	each	DET
alkej-19	101	24	node	node	NOUN
alkej-19	101	25	storing	store	VERB
alkej-19	101	26	the	the	DET
alkej-19	101	27	eight	eight	NUM
alkej-19	101	28	values	value	NOUN
alkej-19	101	29	corresponding	correspond	VERB
alkej-19	101	30	to	to	ADP
alkej-19	101	31	a	a	DET
alkej-19	101	32	gabor	gabor	NOUN
alkej-19	101	33	jet	jet	NOUN
alkej-19	101	34	.	.	PUNCT
alkej-19	102	1	the	the	DET
alkej-19	102	2	1dimension	1dimension	NUM
alkej-19	102	3	som	som	NOUN
alkej-19	102	4	has	have	VERB
alkej-19	102	5	256	256	NUM
alkej-19	102	6	nodes	node	NOUN
alkej-19	102	7	and	and	CCONJ
alkej-19	102	8	each	each	DET
alkej-19	102	9	map	map	NOUN
alkej-19	102	10	has	have	VERB
alkej-19	102	11	six	six	NUM
alkej-19	102	12	values	value	NOUN
alkej-19	102	13	.	.	PUNCT
alkej-19	103	1	the	the	DET
alkej-19	103	2	main	main	ADJ
alkej-19	103	3	advantages	advantage	NOUN
alkej-19	103	4	of	of	ADP
alkej-19	103	5	this	this	DET
alkej-19	103	6	system	system	NOUN
alkej-19	103	7	are	be	AUX
alkej-19	103	8	the	the	DET
alkej-19	103	9	reduced	reduce	VERB
alkej-19	103	10	training	training	NOUN
alkej-19	103	11	time	time	NOUN
alkej-19	103	12	;	;	PUNCT
alkej-19	103	13	data	datum	NOUN
alkej-19	103	14	compression	compression	NOUN
alkej-19	103	15	rate	rate	NOUN
alkej-19	103	16	,	,	PUNCT
alkej-19	103	17	distortion	distortion	NOUN
alkej-19	103	18	tolerant	tolerant	ADJ
alkej-19	103	19	feature	feature	NOUN
alkej-19	103	20	extraction	extraction	NOUN
alkej-19	103	21	,	,	PUNCT
alkej-19	103	22	and	and	CCONJ
alkej-19	103	23	the	the	DET
alkej-19	103	24	ability	ability	NOUN
alkej-19	103	25	to	to	PART
alkej-19	103	26	train	train	VERB
alkej-19	103	27	unsupervised	unsupervised	ADJ
alkej-19	103	28	the	the	DET
alkej-19	103	29	feature	feature	NOUN
alkej-19	103	30	extraction	extraction	NOUN
alkej-19	103	31	stage	stage	NOUN
alkej-19	103	32	.	.	PUNCT
alkej-19	104	1	further	further	ADJ
alkej-19	104	2	analysis	analysis	NOUN
alkej-19	104	3	and	and	CCONJ
alkej-19	104	4	expansion	expansion	NOUN
alkej-19	104	5	in	in	ADP
alkej-19	104	6	terms	term	NOUN
alkej-19	104	7	of	of	ADP
alkej-19	104	8	the	the	DET
alkej-19	104	9	face	face	NOUN
alkej-19	104	10	database	database	NOUN
alkej-19	104	11	size	size	NOUN
alkej-19	104	12	is	be	AUX
alkej-19	104	13	required	require	VERB
alkej-19	104	14	so	so	SCONJ
alkej-19	104	15	that	that	SCONJ
alkej-19	104	16	more	more	ADJ
alkej-19	104	17	quantitative	quantitative	ADJ
alkej-19	104	18	results	result	NOUN
alkej-19	104	19	can	can	AUX
alkej-19	104	20	be	be	AUX
alkej-19	104	21	obtained	obtain	VERB
alkej-19	104	22	to	to	PART
alkej-19	104	23	further	far	ADV
alkej-19	104	24	determine	determine	VERB
alkej-19	104	25	the	the	DET
alkej-19	104	26	potential	potential	NOUN
alkej-19	104	27	of	of	ADP
alkej-19	104	28	som	som	NOUN
alkej-19	104	29	-	-	PUNCT
alkej-19	104	30	based	base	VERB
alkej-19	104	31	feature	feature	NOUN
alkej-19	104	32	extraction	extraction	NOUN
alkej-19	104	33	and	and	CCONJ
alkej-19	104	34	model	model	NOUN
alkej-19	104	35	-	-	PUNCT
alkej-19	104	36	free	free	ADJ
alkej-19	104	37	networks	network	NOUN
alkej-19	104	38	for	for	ADP
alkej-19	104	39	face	face	NOUN
alkej-19	104	40	recognition	recognition	NOUN
alkej-19	104	41	.	.	PUNCT
alkej-19	105	1	classification	classification	NOUN
alkej-19	105	2	.	.	PUNCT
alkej-19	106	1	the	the	DET
alkej-19	106	2	self	self	NOUN
alkej-19	106	3	-	-	PUNCT
alkej-19	106	4	organizing	organize	VERB
alkej-19	106	5	map	map	NOUN
alkej-19	106	6	as	as	ADP
alkej-19	106	7	a	a	DET
alkej-19	106	8	classifier	classifier	NOUN
alkej-19	106	9	.	.	PUNCT
alkej-19	107	1	the	the	DET
alkej-19	107	2	self	self	NOUN
alkej-19	107	3	-	-	PUNCT
alkej-19	107	4	organizing	organize	VERB
alkej-19	107	5	map	map	NOUN
alkej-19	107	6	(	(	PUNCT
alkej-19	107	7	som	som	NOUN
alkej-19	107	8	)	)	PUNCT
alkej-19	107	9	as	as	SCONJ
alkej-19	107	10	introduced	introduce	VERB
alkej-19	107	11	by	by	ADP
alkej-19	107	12	teuvo	teuvo	PROPN
alkej-19	107	13	kohonen	kohonen	PROPN
alkej-19	107	14	is	be	AUX
alkej-19	107	15	one	one	NUM
alkej-19	107	16	of	of	ADP
alkej-19	107	17	the	the	DET
alkej-19	107	18	most	most	ADV
alkej-19	107	19	widely	widely	ADV
alkej-19	107	20	used	use	VERB
alkej-19	107	21	neural	neural	ADJ
alkej-19	107	22	network	network	NOUN
alkej-19	107	23	structures	structure	NOUN
alkej-19	107	24	in	in	ADP
alkej-19	107	25	pattern	pattern	NOUN
alkej-19	107	26	recognition	recognition	NOUN
alkej-19	107	27	.	.	PUNCT
alkej-19	108	1	the	the	DET
alkej-19	108	2	som	som	NOUN
alkej-19	108	3	has	have	AUX
alkej-19	108	4	also	also	ADV
alkej-19	108	5	been	be	AUX
alkej-19	108	6	applied	apply	VERB
alkej-19	108	7	to	to	ADP
alkej-19	108	8	various	various	ADJ
alkej-19	108	9	other	other	ADJ
alkej-19	108	10	applications	application	NOUN
alkej-19	108	11	such	such	ADJ
alkej-19	108	12	as	as	ADP
alkej-19	108	13	speech	speech	NOUN
alkej-19	108	14	analysis	analysis	NOUN
alkej-19	108	15	,	,	PUNCT
alkej-19	108	16	process	process	NOUN
alkej-19	108	17	control	control	NOUN
alkej-19	108	18	systems	system	NOUN
alkej-19	108	19	,	,	PUNCT
alkej-19	108	20	robotics	robotic	NOUN
alkej-19	108	21	and	and	CCONJ
alkej-19	108	22	telecommunications	telecommunication	NOUN
alkej-19	108	23	[	[	X
alkej-19	108	24	8	8	NUM
alkej-19	108	25	]	]	PUNCT
alkej-19	108	26	.	.	PUNCT
alkej-19	109	1	self	self	NOUN
alkej-19	109	2	-	-	PUNCT
alkej-19	109	3	organizing	organize	VERB
alkej-19	109	4	maps	map	NOUN
alkej-19	109	5	are	be	AUX
alkej-19	109	6	generally	generally	ADV
alkej-19	109	7	less	less	ADV
alkej-19	109	8	computationally	computationally	ADV
alkej-19	109	9	expensive	expensive	ADJ
alkej-19	109	10	and	and	CCONJ
alkej-19	109	11	perform	perform	VERB
alkej-19	109	12	better	well	ADV
alkej-19	109	13	with	with	ADP
alkej-19	109	14	large	large	ADJ
alkej-19	109	15	complex	complex	ADJ
alkej-19	109	16	data	datum	NOUN
alkej-19	109	17	compared	compare	VERB
alkej-19	109	18	to	to	ADP
alkej-19	109	19	the	the	DET
alkej-19	109	20	traditional	traditional	ADJ
alkej-19	109	21	neural	neural	ADJ
alkej-19	109	22	networks	network	NOUN
alkej-19	109	23	.	.	PUNCT
alkej-19	110	1	the	the	DET
alkej-19	110	2	learning	learning	PROPN
alkej-19	110	3	and	and	CCONJ
alkej-19	110	4	topological	topological	ADJ
alkej-19	110	5	arrangement	arrangement	NOUN
alkej-19	110	6	of	of	ADP
alkej-19	110	7	the	the	DET
alkej-19	110	8	self	self	NOUN
alkej-19	110	9	-	-	PUNCT
alkej-19	110	10	organizing	organize	VERB
alkej-19	110	11	map	map	NOUN
alkej-19	110	12	has	have	AUX
alkej-19	110	13	been	be	AUX
alkej-19	110	14	observed	observe	VERB
alkej-19	110	15	to	to	PART
alkej-19	110	16	be	be	AUX
alkej-19	110	17	similar	similar	ADJ
alkej-19	110	18	to	to	ADP
alkej-19	110	19	the	the	DET
alkej-19	110	20	behavior	behavior	NOUN
alkej-19	110	21	observed	observe	VERB
alkej-19	110	22	in	in	ADP
alkej-19	110	23	higher	high	ADJ
alkej-19	110	24	animals	animal	NOUN
alkej-19	110	25	’	'	PUNCT
alkej-19	110	26	primary	primary	ADJ
alkej-19	110	27	visual	visual	ADJ
alkej-19	110	28	cortex	cortex	NOUN
alkej-19	110	29	.	.	PUNCT
alkej-19	111	1	thus	thus	ADV
alkej-19	111	2	going	go	VERB
alkej-19	111	3	back	back	ADV
alkej-19	111	4	to	to	ADP
alkej-19	111	5	the	the	DET
alkej-19	111	6	original	original	ADJ
alkej-19	111	7	motivation	motivation	NOUN
alkej-19	111	8	of	of	ADP
alkej-19	111	9	neural	neural	ADJ
alkej-19	111	10	networks	network	NOUN
alkej-19	111	11	:	:	PUNCT
alkej-19	111	12	to	to	PART
alkej-19	111	13	model	model	VERB
alkej-19	111	14	the	the	DET
alkej-19	111	15	operation	operation	NOUN
alkej-19	111	16	of	of	ADP
alkej-19	111	17	the	the	DET
alkej-19	111	18	human	human	ADJ
alkej-19	111	19	brain	brain	NOUN
alkej-19	111	20	.	.	PUNCT
alkej-19	112	1	tarik	tarik	PROPN
alkej-19	112	2	zeyad	zeyad	PROPN
alkej-19	112	3	/al	/al	PROPN
alkej-19	112	4	-	-	PUNCT
alkej-19	112	5	khwarizmi	khwarizmi	PROPN
alkej-19	112	6	engineering	engineering	NOUN
alkej-19	112	7	journal	journal	PROPN
alkej-19	112	8	,	,	PUNCT
alkej-19	112	9	vol.1	vol.1	PROPN
alkej-19	112	10	,	,	PUNCT
alkej-19	112	11	no	no	INTJ
alkej-19	112	12	.	.	PUNCT
alkej-19	113	1	1,pp	1,pp	NUM
alkej-19	113	2	38	38	NUM
alkej-19	113	3	-	-	SYM
alkej-19	113	4	45	45	NUM
alkej-19	113	5	(	(	PUNCT
alkej-19	113	6	2005	2005	NUM
alkej-19	113	7	)	)	PUNCT
alkej-19	113	8	٤٣	٤٣	NUM
alkej-19	114	1	algorithm	algorithm	NOUN
alkej-19	114	2	:	:	PUNCT
alkej-19	114	3	1	1	X
alkej-19	114	4	.	.	X
alkej-19	114	5	specify	specify	VERB
alkej-19	114	6	the	the	DET
alkej-19	114	7	type	type	NOUN
alkej-19	114	8	of	of	ADP
alkej-19	114	9	the	the	DET
alkej-19	114	10	grid	grid	NOUN
alkej-19	114	11	used	use	VERB
alkej-19	114	12	in	in	ADP
alkej-19	114	13	the	the	DET
alkej-19	114	14	som	som	NOUN
alkej-19	114	15	.	.	PROPN
alkej-19	115	1	2	2	NUM
alkej-19	115	2	.	.	PUNCT
alkej-19	115	3	[	[	PUNCT
alkej-19	115	4	initialize	initialize	VERB
alkej-19	115	5	weights	weight	NOUN
alkej-19	115	6	]	]	PUNCT
alkej-19	115	7	:	:	PUNCT
alkej-19	115	8	initialize	initialize	VERB
alkej-19	115	9	weights	weight	NOUN
alkej-19	115	10	wij	wij	PROPN
alkej-19	115	11	(	(	PUNCT
alkej-19	115	12	1	1	NUM
alkej-19	115	13	<	<	X
alkej-19	115	14	i	i	PRON
alkej-19	115	15	<	<	X
alkej-19	115	16	n	n	CCONJ
alkej-19	115	17	)	)	PUNCT
alkej-19	115	18	to	to	ADP
alkej-19	115	19	small	small	ADJ
alkej-19	115	20	random	random	ADJ
alkej-19	115	21	values	value	NOUN
alkej-19	115	22	.	.	PUNCT
alkej-19	116	1	set	set	VERB
alkej-19	116	2	the	the	DET
alkej-19	116	3	initial	initial	ADJ
alkej-19	116	4	radius	radius	NOUN
alkej-19	116	5	of	of	ADP
alkej-19	116	6	the	the	DET
alkej-19	116	7	neighborhood	neighborhood	NOUN
alkej-19	116	8	around	around	ADP
alkej-19	116	9	node	node	PROPN
alkej-19	116	10	j	j	PROPN
alkej-19	116	11	to	to	PART
alkej-19	116	12	nj(t	nj(t	NUM
alkej-19	116	13	)	)	PUNCT
alkej-19	116	14	.	.	PUNCT
alkej-19	117	1	3.[present	3.[present	NUM
alkej-19	117	2	input	input	NOUN
alkej-19	117	3	]	]	X
alkej-19	117	4	:	:	PUNCT
alkej-19	117	5	the	the	DET
alkej-19	117	6	vector	vector	NOUN
alkej-19	117	7	x0	x0	PROPN
alkej-19	117	8	,	,	PUNCT
alkej-19	117	9	x1	x1	PROPN
alkej-19	117	10	,	,	PUNCT
alkej-19	117	11	…	…	PUNCT
alkej-19	117	12	,	,	PUNCT
alkej-19	117	13	xn-1	xn-1	PROPN
alkej-19	117	14	,	,	PUNCT
alkej-19	117	15	where	where	SCONJ
alkej-19	117	16	xi	xi	PROPN
alkej-19	117	17	is	be	AUX
alkej-19	117	18	the	the	DET
alkej-19	117	19	input	input	NOUN
alkej-19	117	20	to	to	PART
alkej-19	117	21	node	node	VERB
alkej-19	117	22	j	j	PROPN
alkej-19	117	23	at	at	ADP
alkej-19	117	24	time	time	NOUN
alkej-19	117	25	t.	t.	PROPN
alkej-19	117	26	4	4	NUM
alkej-19	117	27	.	.	PUNCT
alkej-19	118	1	[	[	X
alkej-19	118	2	calculate	calculate	NOUN
alkej-19	118	3	distance	distance	NOUN
alkej-19	118	4	dj	dj	NOUN
alkej-19	118	5	]	]	X
alkej-19	118	6	:	:	PUNCT
alkej-19	118	7	calculate	calculate	NOUN
alkej-19	118	8	distance	distance	NOUN
alkej-19	118	9	between	between	ADP
alkej-19	118	10	the	the	DET
alkej-19	118	11	input	input	NOUN
alkej-19	118	12	and	and	CCONJ
alkej-19	118	13	each	each	DET
alkej-19	118	14	node	node	PROPN
alkej-19	118	15	j	j	PROPN
alkej-19	118	16	,	,	PUNCT
alkej-19	118	17	given	give	VERB
alkej-19	118	18	by	by	ADP
alkej-19	118	19	dj	dj	NOUN
alkej-19	118	20	=	=	PUNCT
alkej-19	118	21	σn	σn	X
alkej-19	118	22	[	[	X
alkej-19	118	23	xi(t	xi(t	NOUN
alkej-19	118	24	)	)	PUNCT
alkej-19	118	25	–	–	PUNCT
alkej-19	118	26	wij(t)]2	wij(t)]2	X
alkej-19	118	27	.	.	PUNCT
alkej-19	119	1	5	5	X
alkej-19	119	2	.	.	PUNCT
alkej-19	120	1	[	[	AUX
alkej-19	120	2	determine	determine	VERB
alkej-19	120	3	dj	dj	PRON
alkej-19	120	4	*	*	NOUN
alkej-19	120	5	]	]	X
alkej-19	120	6	:	:	PUNCT
alkej-19	120	7	determine	determine	VERB
alkej-19	120	8	dj	dj	NOUN
alkej-19	120	9	*	*	NOUN
alkej-19	120	10	which	which	PRON
alkej-19	120	11	is	be	AUX
alkej-19	120	12	the	the	DET
alkej-19	120	13	minimum	minimum	ADJ
alkej-19	120	14	value	value	NOUN
alkej-19	120	15	of	of	ADP
alkej-19	120	16	dj	dj	NOUN
alkej-19	120	17	.	.	PUNCT
alkej-19	121	1	6.[update	6.[update	NUM
alkej-19	121	2	weights	weight	NOUN
alkej-19	121	3	]	]	PUNCT
alkej-19	121	4	update	update	NOUN
alkej-19	121	5	weights	weight	NOUN
alkej-19	121	6	for	for	ADP
alkej-19	121	7	node	node	PROPN
alkej-19	121	8	j	j	PROPN
alkej-19	121	9	*	*	PROPN
alkej-19	121	10	and	and	CCONJ
alkej-19	121	11	its	its	PRON
alkej-19	121	12	neighbors	neighbor	NOUN
alkej-19	121	13	defined	define	VERB
alkej-19	121	14	by	by	ADP
alkej-19	121	15	nj*(t	nj*(t	PROPN
alkej-19	121	16	)	)	PUNCT
alkej-19	121	17	.	.	PUNCT
alkej-19	122	1	new	new	ADJ
alkej-19	122	2	weights	weight	NOUN
alkej-19	122	3	are	be	AUX
alkej-19	122	4	:	:	PUNCT
alkej-19	122	5	wij(t+1	wij(t+1	X
alkej-19	122	6	)	)	PUNCT
alkej-19	122	7	=	=	SYM
alkej-19	122	8	wij(t	wij(t	PROPN
alkej-19	122	9	)	)	PUNCT
alkej-19	123	1	+	+	PUNCT
alkej-19	123	2	a(t	a(t	NOUN
alkej-19	123	3	)	)	PUNCT
alkej-19	124	1	[	[	X
alkej-19	124	2	xi(t	xi(t	NOUN
alkej-19	124	3	)	)	PUNCT
alkej-19	124	4	–	–	PUNCT
alkej-19	124	5	wij(t	wij(t	PROPN
alkej-19	124	6	)	)	PUNCT
alkej-19	124	7	]	]	PUNCT
alkej-19	124	8	for	for	ADP
alkej-19	124	9	j	j	PROPN
alkej-19	124	10	in	in	ADP
alkej-19	124	11	nj*(t	nj*(t	NOUN
alkej-19	124	12	)	)	PUNCT
alkej-19	124	13	where	where	SCONJ
alkej-19	124	14	a(t	a(t	NOUN
alkej-19	124	15	)	)	PUNCT
alkej-19	124	16	is	be	AUX
alkej-19	124	17	a	a	DET
alkej-19	124	18	learning	learning	NOUN
alkej-19	124	19	rate	rate	NOUN
alkej-19	124	20	and	and	CCONJ
alkej-19	124	21	both	both	DET
alkej-19	124	22	a(t	a(t	NOUN
alkej-19	124	23	)	)	PUNCT
alkej-19	124	24	and	and	CCONJ
alkej-19	124	25	nj*(t	nj*(t	NUM
alkej-19	124	26	)	)	PUNCT
alkej-19	125	1	decrease	decrease	NOUN
alkej-19	125	2	in	in	ADP
alkej-19	125	3	t.	t.	PROPN
alkej-19	125	4	7	7	NUM
alkej-19	125	5	.	.	PUNCT
alkej-19	126	1	[	[	X
alkej-19	126	2	repeat	repeat	NOUN
alkej-19	126	3	]	]	X
alkej-19	126	4	:	:	PUNCT
alkej-19	126	5	repeat	repeat	VERB
alkej-19	126	6	by	by	ADP
alkej-19	126	7	going	go	VERB
alkej-19	126	8	to	to	PART
alkej-19	126	9	step	step	VERB
alkej-19	126	10	2	2	NUM
alkej-19	126	11	if	if	SCONJ
alkej-19	126	12	the	the	DET
alkej-19	126	13	stopping	stop	VERB
alkej-19	126	14	condition	condition	NOUN
alkej-19	126	15	,	,	PUNCT
alkej-19	126	16	(	(	PUNCT
alkej-19	126	17	t	t	NOUN
alkej-19	126	18	=	=	SYM
alkej-19	126	19	b	b	X
alkej-19	126	20	)	)	PUNCT
alkej-19	126	21	is	be	AUX
alkej-19	126	22	not	not	PART
alkej-19	126	23	satisfied	satisfied	ADJ
alkej-19	126	24	,	,	PUNCT
alkej-19	126	25	where	where	SCONJ
alkej-19	126	26	b	b	NOUN
alkej-19	126	27	represents	represent	VERB
alkej-19	126	28	the	the	DET
alkej-19	126	29	total	total	ADJ
alkej-19	126	30	number	number	NOUN
alkej-19	126	31	of	of	ADP
alkej-19	126	32	iterations	iteration	NOUN
alkej-19	126	33	.	.	PUNCT
alkej-19	127	1	the	the	DET
alkej-19	127	2	time	time	NOUN
alkej-19	127	3	dependent	dependent	ADJ
alkej-19	127	4	values	value	NOUN
alkej-19	127	5	of	of	ADP
alkej-19	127	6	a(t	a(t	NOUN
alkej-19	127	7	)	)	PUNCT
alkej-19	127	8	and	and	CCONJ
alkej-19	127	9	nj(t	nj(t	NUM
alkej-19	127	10	)	)	PUNCT
alkej-19	127	11	are	be	AUX
alkej-19	127	12	calculated	calculate	VERB
alkej-19	127	13	by	by	ADP
alkej-19	127	14	the	the	DET
alkej-19	127	15	following	follow	VERB
alkej-19	127	16	results	result	NOUN
alkej-19	127	17	of	of	ADP
alkej-19	127	18	testing	test	VERB
alkej-19	127	19	proposed	propose	VERB
alkej-19	127	20	algorithm	algorithm	NOUN
alkej-19	127	21	.	.	PUNCT
alkej-19	128	1	in	in	ADP
alkej-19	128	2	this	this	DET
alkej-19	128	3	section	section	NOUN
alkej-19	128	4	,	,	PUNCT
alkej-19	128	5	the	the	DET
alkej-19	128	6	properties	property	NOUN
alkej-19	128	7	of	of	ADP
alkej-19	128	8	the	the	DET
alkej-19	128	9	suggested	suggest	VERB
alkej-19	128	10	face	face	NOUN
alkej-19	128	11	recognition	recognition	NOUN
alkej-19	128	12	system	system	NOUN
alkej-19	128	13	are	be	AUX
alkej-19	128	14	discussed	discuss	VERB
alkej-19	128	15	using	use	VERB
alkej-19	128	16	(	(	PUNCT
alkej-19	128	17	20	20	NUM
alkej-19	128	18	)	)	PUNCT
alkej-19	128	19	different	different	ADJ
alkej-19	128	20	persons	person	NOUN
alkej-19	128	21	pictures	picture	NOUN
alkej-19	128	22	.	.	PUNCT
alkej-19	129	1	each	each	DET
alkej-19	129	2	person	person	NOUN
alkej-19	129	3	has	have	VERB
alkej-19	129	4	(	(	PUNCT
alkej-19	129	5	6	6	NUM
alkej-19	129	6	)	)	PUNCT
alkej-19	129	7	different	different	ADJ
alkej-19	129	8	images	image	NOUN
alkej-19	129	9	.	.	PUNCT
alkej-19	130	1	each	each	PRON
alkej-19	130	2	of	of	ADP
alkej-19	130	3	these	these	DET
alkej-19	130	4	images	image	NOUN
alkej-19	130	5	is	be	AUX
alkej-19	130	6	of	of	ADP
alkej-19	130	7	256	256	NUM
alkej-19	130	8	×	×	NOUN
alkej-19	130	9	256	256	NUM
alkej-19	130	10	pixel	pixel	NOUN
alkej-19	130	11	.	.	PUNCT
alkej-19	131	1	for	for	ADP
alkej-19	131	2	the	the	DET
alkej-19	131	3	training	training	NOUN
alkej-19	131	4	of	of	ADP
alkej-19	131	5	the	the	DET
alkej-19	131	6	feature	feature	NOUN
alkej-19	131	7	extraction	extraction	NOUN
alkej-19	131	8	methods	method	NOUN
alkej-19	131	9	,	,	PUNCT
alkej-19	131	10	gabor	gabor	NOUN
alkej-19	131	11	and	and	CCONJ
alkej-19	131	12	local	local	ADJ
alkej-19	131	13	sampling	sampling	NOUN
alkej-19	131	14	,	,	PUNCT
alkej-19	131	15	the	the	DET
alkej-19	131	16	number	number	NOUN
alkej-19	131	17	of	of	ADP
alkej-19	131	18	reported	report	VERB
alkej-19	131	19	iterations	iteration	NOUN
alkej-19	131	20	is	be	AUX
alkej-19	131	21	constant	constant	ADJ
alkej-19	131	22	.	.	PUNCT
alkej-19	132	1	this	this	PRON
alkej-19	132	2	is	be	AUX
alkej-19	132	3	because	because	SCONJ
alkej-19	132	4	for	for	ADP
alkej-19	132	5	every	every	DET
alkej-19	132	6	time	time	NOUN
alkej-19	132	7	an	an	DET
alkej-19	132	8	image	image	NOUN
alkej-19	132	9	is	be	AUX
alkej-19	132	10	used	use	VERB
alkej-19	132	11	to	to	PART
alkej-19	132	12	train	train	VERB
alkej-19	132	13	the	the	DET
alkej-19	132	14	three	three	NUM
alkej-19	132	15	soms	som	NOUN
alkej-19	132	16	.	.	PUNCT
alkej-19	133	1	the	the	DET
alkej-19	133	2	constant	constant	ADJ
alkej-19	133	3	training	training	NOUN
alkej-19	133	4	time	time	NOUN
alkej-19	133	5	for	for	SCONJ
alkej-19	133	6	all	all	DET
alkej-19	133	7	the	the	DET
alkej-19	133	8	input	input	NOUN
alkej-19	133	9	images	image	NOUN
alkej-19	133	10	is	be	AUX
alkej-19	133	11	required	require	VERB
alkej-19	133	12	;	;	PUNCT
alkej-19	133	13	each	each	DET
alkej-19	133	14	som	som	NOUN
alkej-19	133	15	is	be	AUX
alkej-19	133	16	actually	actually	ADV
alkej-19	133	17	presented	present	VERB
alkej-19	133	18	with	with	ADP
alkej-19	133	19	500	500	NUM
alkej-19	133	20	sets	set	NOUN
alkej-19	133	21	of	of	ADP
alkej-19	133	22	input	input	NOUN
alkej-19	133	23	data	datum	NOUN
alkej-19	133	24	and	and	CCONJ
alkej-19	133	25	is	be	AUX
alkej-19	133	26	required	require	VERB
alkej-19	133	27	to	to	PART
alkej-19	133	28	update	update	VERB
alkej-19	133	29	the	the	DET
alkej-19	133	30	soms	som	NOUN
alkej-19	133	31	500	500	NUM
alkej-19	133	32	times	time	NOUN
alkej-19	133	33	for	for	ADP
alkej-19	133	34	each	each	DET
alkej-19	133	35	image	image	NOUN
alkej-19	133	36	.	.	PUNCT
alkej-19	134	1	the	the	DET
alkej-19	134	2	two	two	NUM
alkej-19	134	3	2	2	NUM
alkej-19	134	4	-	-	PUNCT
alkej-19	134	5	d	d	NOUN
alkej-19	134	6	soms	som	NOUN
alkej-19	134	7	in	in	ADP
alkej-19	134	8	the	the	DET
alkej-19	134	9	feature	feature	NOUN
alkej-19	134	10	extraction	extraction	NOUN
alkej-19	134	11	contain	contain	NOUN
alkej-19	134	12	(	(	PUNCT
alkej-19	134	13	10x10	10x10	NUM
alkej-19	134	14	)	)	PUNCT
alkej-19	134	15	nodes	node	NOUN
alkej-19	134	16	and	and	CCONJ
alkej-19	134	17	each	each	DET
alkej-19	134	18	node	node	ADJ
alkej-19	134	19	store	store	VERB
alkej-19	134	20	eight	eight	NUM
alkej-19	134	21	values	value	NOUN
alkej-19	134	22	corresponding	correspond	VERB
alkej-19	134	23	to	to	ADP
alkej-19	134	24	gabor	gabor	PROPN
alkej-19	134	25	jets	jet	NOUN
alkej-19	134	26	and	and	CCONJ
alkej-19	134	27	the	the	DET
alkej-19	134	28	one	one	NUM
alkej-19	134	29	-	-	PUNCT
alkej-19	134	30	dimensional	dimensional	ADJ
alkej-19	134	31	som	som	NOUN
alkej-19	134	32	has	have	VERB
alkej-19	134	33	256	256	NUM
alkej-19	134	34	nodes	node	NOUN
alkej-19	134	35	and	and	CCONJ
alkej-19	134	36	stores	store	NOUN
alkej-19	134	37	six	six	NUM
alkej-19	134	38	values	value	NOUN
alkej-19	134	39	.	.	PUNCT
alkej-19	135	1	in	in	ADP
alkej-19	135	2	local	local	ADJ
alkej-19	135	3	image	image	NOUN
alkej-19	135	4	sampling	sample	VERB
alkej-19	135	5	training	training	NOUN
alkej-19	135	6	,	,	PUNCT
alkej-19	135	7	the	the	DET
alkej-19	135	8	number	number	NOUN
alkej-19	135	9	of	of	ADP
alkej-19	135	10	features	feature	NOUN
alkej-19	135	11	that	that	PRON
alkej-19	135	12	is	be	AUX
alkej-19	135	13	used	use	VERB
alkej-19	135	14	is	be	AUX
alkej-19	135	15	larger	large	ADJ
alkej-19	135	16	than	than	ADP
alkej-19	135	17	for	for	ADP
alkej-19	135	18	the	the	DET
alkej-19	135	19	gabor	gabor	PROPN
alkej-19	135	20	feature	feature	NOUN
alkej-19	135	21	,	,	PUNCT
alkej-19	135	22	the	the	DET
alkej-19	135	23	two	two	NUM
alkej-19	135	24	2dimension	2dimension	PROPN
alkej-19	135	25	som	som	NOUN
alkej-19	135	26	contains	contain	VERB
alkej-19	135	27	(	(	PUNCT
alkej-19	135	28	10×10	10×10	NUM
alkej-19	135	29	)	)	PUNCT
alkej-19	135	30	node	node	NOUN
alkej-19	135	31	and	and	CCONJ
alkej-19	135	32	one	one	NUM
alkej-19	135	33	dimension	dimension	NOUN
alkej-19	135	34	contains	contain	VERB
alkej-19	135	35	256	256	NUM
alkej-19	135	36	nodes	node	NOUN
alkej-19	135	37	.	.	PUNCT
alkej-19	136	1	this	this	DET
alkej-19	136	2	state	state	NOUN
alkej-19	136	3	of	of	ADP
alkej-19	136	4	programs	program	NOUN
alkej-19	136	5	uses	use	VERB
alkej-19	136	6	7	7	NUM
alkej-19	136	7	exemplars	exemplar	NOUN
alkej-19	136	8	.	.	PUNCT
alkej-19	137	1	the	the	DET
alkej-19	137	2	following	follow	VERB
alkej-19	137	3	figure	figure	NOUN
alkej-19	137	4	gives	give	VERB
alkej-19	137	5	the	the	DET
alkej-19	137	6	output	output	NOUN
alkej-19	137	7	of	of	ADP
alkej-19	137	8	a	a	DET
alkej-19	137	9	square	square	ADJ
alkej-19	137	10	linear	linear	NOUN
alkej-19	137	11	som	som	NOUN
alkej-19	137	12	grid	grid	NOUN
alkej-19	137	13	.	.	PUNCT
alkej-19	138	1	figure	figure	NOUN
alkej-19	138	2	(	(	PUNCT
alkej-19	138	3	1	1	NUM
alkej-19	138	4	)	)	PUNCT
alkej-19	138	5	.	.	PUNCT
alkej-19	139	1	the	the	DET
alkej-19	139	2	program	program	NOUN
alkej-19	139	3	output	output	NOUN
alkej-19	139	4	with	with	ADP
alkej-19	139	5	parameter	parameter	NOUN
alkej-19	139	6	(	(	PUNCT
alkej-19	139	7	0.1	0.1	NUM
alkej-19	139	8	)	)	PUNCT
alkej-19	139	9	learning	learn	VERB
alkej-19	139	10	rate	rate	NOUN
alkej-19	139	11	,	,	PUNCT
alkej-19	139	12	140	140	NUM
alkej-19	139	13	exemplars	exemplar	NOUN
alkej-19	139	14	,	,	PUNCT
alkej-19	139	15	and	and	CCONJ
alkej-19	139	16	0.9	0.9	NUM
alkej-19	139	17	threshold	threshold	NOUN
alkej-19	139	18	.	.	PUNCT
alkej-19	140	1	conclusions	conclusion	NOUN
alkej-19	140	2	.	.	PUNCT
alkej-19	141	1	this	this	DET
alkej-19	141	2	work	work	NOUN
alkej-19	141	3	presents	present	VERB
alkej-19	141	4	a	a	DET
alkej-19	141	5	human	human	ADJ
alkej-19	141	6	face	face	NOUN
alkej-19	141	7	recognition	recognition	NOUN
alkej-19	141	8	system	system	NOUN
alkej-19	141	9	based	base	VERB
alkej-19	141	10	on	on	ADP
alkej-19	141	11	the	the	DET
alkej-19	141	12	extraction	extraction	NOUN
alkej-19	141	13	of	of	ADP
alkej-19	141	14	features	feature	NOUN
alkej-19	141	15	using	use	VERB
alkej-19	141	16	several	several	ADJ
alkej-19	141	17	types	type	NOUN
alkej-19	141	18	of	of	ADP
alkej-19	141	19	som	som	NOUN
alkej-19	141	20	’s	’s	NOUN
alkej-19	141	21	.	.	PUNCT
alkej-19	142	1	for	for	ADP
alkej-19	142	2	the	the	DET
alkej-19	142	3	linear	linear	PROPN
alkej-19	142	4	grids	grid	NOUN
alkej-19	142	5	som	som	NOUN
alkej-19	142	6	’s	’	VERB
alkej-19	142	7	the	the	DET
alkej-19	142	8	hexagonal	hexagonal	ADJ
alkej-19	142	9	grid	grid	NOUN
alkej-19	142	10	som	som	NOUN
alkej-19	142	11	gave	give	VERB
alkej-19	142	12	the	the	DET
alkej-19	142	13	best	good	ADJ
alkej-19	142	14	results	result	NOUN
alkej-19	142	15	between	between	ADP
alkej-19	142	16	the	the	DET
alkej-19	142	17	three	three	NUM
alkej-19	142	18	linear	linear	ADJ
alkej-19	142	19	grids	grid	NOUN
alkej-19	142	20	used	use	VERB
alkej-19	142	21	in	in	ADP
alkej-19	142	22	the	the	DET
alkej-19	142	23	recognition	recognition	NOUN
alkej-19	142	24	procedure	procedure	NOUN
alkej-19	142	25	(	(	PUNCT
alkej-19	142	26	square	square	ADJ
alkej-19	142	27	,	,	PUNCT
alkej-19	142	28	circle	circle	NOUN
alkej-19	142	29	and	and	CCONJ
alkej-19	142	30	hexagonal	hexagonal	ADJ
alkej-19	142	31	)	)	PUNCT
alkej-19	142	32	since	since	SCONJ
alkej-19	142	33	the	the	DET
alkej-19	142	34	square	square	NOUN
alkej-19	142	35	contains	contain	VERB
alkej-19	142	36	more	more	ADJ
alkej-19	142	37	neighbors	neighbor	NOUN
alkej-19	142	38	than	than	ADP
alkej-19	142	39	the	the	DET
alkej-19	142	40	hexagonal	hexagonal	ADJ
alkej-19	142	41	and	and	CCONJ
alkej-19	142	42	the	the	DET
alkej-19	142	43	circle	circle	NOUN
alkej-19	142	44	grid	grid	NOUN
alkej-19	142	45	contains	contain	VERB
alkej-19	142	46	neighbors	neighbor	NOUN
alkej-19	142	47	on	on	ADP
alkej-19	142	48	their	their	PRON
alkej-19	142	49	circumference	circumference	NOUN
alkej-19	142	50	.	.	PUNCT
alkej-19	143	1	the	the	DET
alkej-19	143	2	training	training	NOUN
alkej-19	143	3	procedure	procedure	NOUN
alkej-19	143	4	using	use	VERB
alkej-19	143	5	the	the	DET
alkej-19	143	6	hexagonal	hexagonal	ADJ
alkej-19	143	7	neighbor	neighbor	NOUN
alkej-19	143	8	is	be	AUX
alkej-19	143	9	less	less	ADJ
alkej-19	143	10	than	than	ADP
alkej-19	143	11	that	that	PRON
alkej-19	143	12	of	of	ADP
alkej-19	143	13	the	the	DET
alkej-19	143	14	other	other	ADJ
alkej-19	143	15	two	two	NUM
alkej-19	143	16	linear	linear	ADJ
alkej-19	143	17	grids	grid	NOUN
alkej-19	143	18	used	use	VERB
alkej-19	143	19	.	.	PUNCT
alkej-19	144	1	tarik	tarik	PROPN
alkej-19	144	2	zeyad	zeyad	PROPN
alkej-19	144	3	/al	/al	PROPN
alkej-19	144	4	-	-	PUNCT
alkej-19	144	5	khwarizmi	khwarizmi	PROPN
alkej-19	144	6	engineering	engineering	NOUN
alkej-19	144	7	journal	journal	PROPN
alkej-19	144	8	,	,	PUNCT
alkej-19	144	9	vol.1	vol.1	PROPN
alkej-19	144	10	,	,	PUNCT
alkej-19	144	11	no	no	INTJ
alkej-19	144	12	.	.	PUNCT
alkej-19	145	1	1,pp	1,pp	NUM
alkej-19	145	2	38	38	NUM
alkej-19	145	3	-	-	SYM
alkej-19	145	4	45	45	NUM
alkej-19	145	5	(	(	PUNCT
alkej-19	145	6	2005	2005	NUM
alkej-19	145	7	)	)	PUNCT
alkej-19	145	8	٤٤	٤٤	PROPN
alkej-19	145	9	the	the	DET
alkej-19	145	10	nonlinear	nonlinear	PROPN
alkej-19	145	11	som	som	PROPN
alkej-19	145	12	grid	grid	NOUN
alkej-19	145	13	gave	give	VERB
alkej-19	145	14	more	more	ADV
alkej-19	145	15	accurate	accurate	ADJ
alkej-19	145	16	recognition	recognition	NOUN
alkej-19	145	17	than	than	ADP
alkej-19	145	18	all	all	DET
alkej-19	145	19	linear	linear	ADJ
alkej-19	145	20	grid	grid	NOUN
alkej-19	145	21	som	som	NOUN
alkej-19	145	22	’s	’s	NOUN
alkej-19	145	23	.	.	PUNCT
alkej-19	146	1	the	the	DET
alkej-19	146	2	number	number	NOUN
alkej-19	146	3	of	of	ADP
alkej-19	146	4	neighbors	neighbor	NOUN
alkej-19	146	5	were	be	AUX
alkej-19	146	6	less	less	ADJ
alkej-19	146	7	than	than	ADP
alkej-19	146	8	the	the	DET
alkej-19	146	9	neighbors	neighbor	NOUN
alkej-19	146	10	in	in	ADP
alkej-19	146	11	all	all	DET
alkej-19	146	12	the	the	DET
alkej-19	146	13	linear	linear	ADJ
alkej-19	146	14	grids	grid	NOUN
alkej-19	146	15	.	.	PUNCT
alkej-19	147	1	even	even	ADV
alkej-19	147	2	so	so	ADV
alkej-19	147	3	,	,	PUNCT
alkej-19	147	4	the	the	DET
alkej-19	147	5	nonlinear	nonlinear	PROPN
alkej-19	147	6	som	som	PROPN
alkej-19	147	7	grid	grid	PROPN
alkej-19	147	8	gave	give	VERB
alkej-19	147	9	a	a	DET
alkej-19	147	10	better	well	ADJ
alkej-19	147	11	recognition	recognition	NOUN
alkej-19	147	12	speed	speed	NOUN
alkej-19	147	13	and	and	CCONJ
alkej-19	147	14	results	result	NOUN
alkej-19	147	15	.	.	PUNCT
alkej-19	148	1	the	the	DET
alkej-19	148	2	total	total	ADJ
alkej-19	148	3	speed	speed	NOUN
alkej-19	148	4	of	of	ADP
alkej-19	148	5	the	the	DET
alkej-19	148	6	recognition	recognition	NOUN
alkej-19	148	7	process	process	NOUN
alkej-19	148	8	in	in	ADP
alkej-19	148	9	all	all	DET
alkej-19	148	10	the	the	DET
alkej-19	148	11	grid	grid	NOUN
alkej-19	148	12	methods	method	NOUN
alkej-19	148	13	depends	depend	VERB
alkej-19	148	14	on	on	ADP
alkej-19	148	15	the	the	DET
alkej-19	148	16	size	size	NOUN
alkej-19	148	17	of	of	ADP
alkej-19	148	18	the	the	DET
alkej-19	148	19	database	database	NOUN
alkej-19	148	20	used	use	VERB
alkej-19	148	21	in	in	ADP
alkej-19	148	22	the	the	DET
alkej-19	148	23	recognition	recognition	NOUN
alkej-19	148	24	process	process	NOUN
alkej-19	148	25	which	which	PRON
alkej-19	148	26	were	be	AUX
alkej-19	148	27	smaller	small	ADJ
alkej-19	148	28	in	in	ADP
alkej-19	148	29	the	the	DET
alkej-19	148	30	nonlinear	nonlinear	ADJ
alkej-19	148	31	case	case	NOUN
alkej-19	148	32	.	.	PUNCT
alkej-19	149	1	references	reference	NOUN
alkej-19	149	2	1	1	NUM
alkej-19	149	3	.	.	PUNCT
alkej-19	149	4	r.	r.	PROPN
alkej-19	149	5	brunelli	brunelli	PROPN
alkej-19	149	6	,	,	PUNCT
alkej-19	149	7	t.	t.	PROPN
alkej-19	149	8	poggio	poggio	PROPN
alkej-19	149	9	.	.	PUNCT
alkej-19	150	1	face	face	PROPN
alkej-19	150	2	recognition	recognition	NOUN
alkej-19	150	3	:	:	PUNCT
alkej-19	150	4	features	feature	NOUN
alkej-19	150	5	versus	versus	ADP
alkej-19	150	6	temples	temple	NOUN
alkej-19	150	7	.	.	PUNCT
alkej-19	151	1	ieee	ieee	NOUN
alkej-19	151	2	transactions	transaction	NOUN
alkej-19	151	3	on	on	ADP
alkej-19	151	4	pattern	pattern	NOUN
alkej-19	151	5	analysis	analysis	NOUN
alkej-19	151	6	and	and	CCONJ
alkej-19	151	7	machine	machine	NOUN
alkej-19	151	8	intelligence	intelligence	NOUN
alkej-19	151	9	,	,	PUNCT
alkej-19	151	10	11(6):1042	11(6):1042	NUM
alkej-19	151	11	–	–	PUNCT
alkej-19	151	12	1052	1052	NUM
alkej-19	151	13	,	,	PUNCT
alkej-19	151	14	1993	1993	NUM
alkej-19	151	15	.	.	PUNCT
alkej-19	152	1	2	2	X
alkej-19	152	2	.	.	X
alkej-19	152	3	haddadnia	haddadnia	NOUN
alkej-19	152	4	,	,	PUNCT
alkej-19	152	5	"	"	PUNCT
alkej-19	152	6	n	n	CCONJ
alkej-19	152	7	-	-	PUNCT
alkej-19	152	8	feature	feature	NOUN
alkej-19	152	9	neural	neural	ADJ
alkej-19	152	10	network	network	NOUN
alkej-19	152	11	human	human	ADJ
alkej-19	152	12	face	face	NOUN
alkej-19	152	13	recognition	recognition	NOUN
alkej-19	152	14	"	"	PUNCT
alkej-19	152	15	,	,	PUNCT
alkej-19	152	16	electrical	electrical	ADJ
alkej-19	152	17	and	and	CCONJ
alkej-19	152	18	computer	computer	NOUN
alkej-19	152	19	engineering	engineering	NOUN
alkej-19	152	20	department	department	PROPN
alkej-19	152	21	,	,	PUNCT
alkej-19	152	22	university	university	PROPN
alkej-19	152	23	of	of	ADP
alkej-19	152	24	windsor	windsor	PROPN
alkej-19	152	25	,	,	PUNCT
alkej-19	152	26	1997	1997	NUM
alkej-19	152	27	.	.	PUNCT
alkej-19	153	1	3	3	X
alkej-19	153	2	.	.	X
alkej-19	153	3	s.	s.	PROPN
alkej-19	153	4	marcelja	marcelja	PROPN
alkej-19	153	5	,	,	PUNCT
alkej-19	153	6	“	"	PUNCT
alkej-19	153	7	mathematical	mathematical	ADJ
alkej-19	153	8	description	description	NOUN
alkej-19	153	9	of	of	ADP
alkej-19	153	10	the	the	DET
alkej-19	153	11	responses	response	NOUN
alkej-19	153	12	of	of	ADP
alkej-19	153	13	simple	simple	ADJ
alkej-19	153	14	cortical	cortical	ADJ
alkej-19	153	15	cells	cell	NOUN
alkej-19	153	16	”	"	PUNCT
alkej-19	153	17	,	,	PUNCT
alkej-19	153	18	j.	j.	PROPN
alkej-19	153	19	optical	optical	ADJ
alkej-19	153	20	soc	soc	PROPN
alkej-19	153	21	.	.	PUNCT
alkej-19	154	1	am	be	AUX
alkej-19	154	2	.	.	PUNCT
alkej-19	154	3	,	,	PUNCT
alkej-19	154	4	vol	vol	NOUN
alkej-19	154	5	.	.	PROPN
alkej-19	155	1	70	70	NUM
alkej-19	155	2	,	,	PUNCT
alkej-19	155	3	pp	pp	ADJ
alkej-19	155	4	.	.	PUNCT
alkej-19	156	1	1297	1297	NUM
alkej-19	156	2	-	-	SYM
alkej-19	156	3	1300	1300	NUM
alkej-19	156	4	,	,	PUNCT
alkej-19	156	5	1980	1980	NUM
alkej-19	156	6	.	.	PUNCT
alkej-19	157	1	4	4	X
alkej-19	157	2	.	.	X
alkej-19	157	3	d.	d.	PROPN
alkej-19	157	4	gabor	gabor	PROPN
alkej-19	157	5	,	,	PUNCT
alkej-19	157	6	“	"	PUNCT
alkej-19	157	7	theory	theory	NOUN
alkej-19	157	8	of	of	ADP
alkej-19	157	9	communication	communication	NOUN
alkej-19	157	10	”	"	PUNCT
alkej-19	157	11	,	,	PUNCT
alkej-19	157	12	j.	j.	PROPN
alkej-19	157	13	iee	iee	PROPN
alkej-19	157	14	,	,	PUNCT
alkej-19	157	15	vol	vol	NOUN
alkej-19	157	16	.	.	PROPN
alkej-19	157	17	93	93	NUM
alkej-19	157	18	,	,	PUNCT
alkej-19	157	19	,	,	PUNCT
alkej-19	157	20	pp	pp	ADP
alkej-19	157	21	.	.	PUNCT
alkej-19	158	1	429	429	NUM
alkej-19	158	2	-	-	SYM
alkej-19	158	3	459	459	NUM
alkej-19	158	4	,	,	PUNCT
alkej-19	158	5	1946	1946	NUM
alkej-19	158	6	.	.	PUNCT
alkej-19	159	1	5	5	X
alkej-19	159	2	.	.	X
alkej-19	159	3	d.	d.	PROPN
alkej-19	159	4	perkins	perkins	PROPN
alkej-19	159	5	,	,	PUNCT
alkej-19	159	6	“	"	PUNCT
alkej-19	159	7	a	a	DET
alkej-19	159	8	definition	definition	NOUN
alkej-19	159	9	of	of	ADP
alkej-19	159	10	caricature	caricature	NOUN
alkej-19	159	11	and	and	CCONJ
alkej-19	159	12	recognition	recognition	NOUN
alkej-19	159	13	”	"	PUNCT
alkej-19	159	14	,	,	PUNCT
alkej-19	159	15	studies	study	NOUN
alkej-19	159	16	in	in	ADP
alkej-19	159	17	the	the	DET
alkej-19	159	18	anthropology	anthropology	NOUN
alkej-19	159	19	of	of	ADP
alkej-19	159	20	visual	visual	ADJ
alkej-19	159	21	communication	communication	NOUN
alkej-19	159	22	,	,	PUNCT
alkej-19	159	23	vol	vol	NOUN
alkej-19	159	24	.	.	PROPN
alkej-19	159	25	2	2	NUM
alkej-19	159	26	,	,	PUNCT
alkej-19	159	27	pp	pp	ADJ
alkej-19	159	28	.	.	PUNCT
alkej-19	160	1	1	1	NUM
alkej-19	160	2	-	-	SYM
alkej-19	160	3	24	24	NUM
alkej-19	160	4	,	,	PUNCT
alkej-19	160	5	1975	1975	NUM
alkej-19	160	6	.	.	PUNCT
alkej-19	161	1	6	6	NUM
alkej-19	161	2	.	.	X
alkej-19	161	3	l.	l.	PROPN
alkej-19	161	4	fausett	fausett	PROPN
alkej-19	161	5	,	,	PUNCT
alkej-19	161	6	“	"	PUNCT
alkej-19	161	7	fundamentals	fundamental	NOUN
alkej-19	161	8	of	of	ADP
alkej-19	161	9	neural	neural	ADJ
alkej-19	161	10	networks	network	NOUN
alkej-19	161	11	”	"	PUNCT
alkej-19	161	12	,	,	PUNCT
alkej-19	161	13	prentice	prentice	PROPN
alkej-19	161	14	hall	hall	PROPN
alkej-19	161	15	international	international	PROPN
alkej-19	161	16	,	,	PUNCT
alkej-19	161	17	inc	inc	PROPN
alkej-19	161	18	.	.	PROPN
alkej-19	161	19	,	,	PUNCT
alkej-19	161	20	1994	1994	NUM
alkej-19	161	21	7	7	NUM
alkej-19	161	22	.	.	PUNCT
alkej-19	162	1	p.	p.	PROPN
alkej-19	162	2	yang	yang	PROPN
alkej-19	162	3	,	,	PUNCT
alkej-19	162	4	s.	s.	PROPN
alkej-19	162	5	shan	shan	PROPN
alkej-19	162	6	,	,	PUNCT
alkej-19	162	7	w.	w.	PROPN
alkej-19	162	8	gao	gao	PROPN
alkej-19	162	9	,	,	PUNCT
alkej-19	162	10	"	"	PUNCT
alkej-19	162	11	face	face	NOUN
alkej-19	162	12	recognition	recognition	NOUN
alkej-19	162	13	using	use	VERB
alkej-19	162	14	adaboosted	adabooste	VERB
alkej-19	162	15	feature	feature	NOUN
alkej-19	162	16	"	"	PUNCT
alkej-19	162	17	,	,	PUNCT
alkej-19	162	18	institute	institute	NOUN
alkej-19	162	19	of	of	ADP
alkej-19	162	20	computing	compute	VERB
alkej-19	162	21	technology	technology	NOUN
alkej-19	162	22	of	of	ADP
alkej-19	162	23	chinese	chinese	PROPN
alkej-19	162	24	academy	academy	PROPN
alkej-19	162	25	science	science	PROPN
alkej-19	162	26	,	,	PUNCT
alkej-19	162	27	2000	2000	NUM
alkej-19	162	28	.	.	PUNCT
alkej-19	163	1	8	8	NUM
alkej-19	163	2	.	.	PUNCT
alkej-19	163	3	t.	t.	PROPN
alkej-19	163	4	k.	k.	PROPN
alkej-19	163	5	ho	ho	PROPN
alkej-19	163	6	,	,	PUNCT
alkej-19	163	7	j.	j.	PROPN
alkej-19	163	8	j.	j.	PROPN
alkej-19	163	9	hull	hull	PROPN
alkej-19	163	10	and	and	CCONJ
alkej-19	163	11	s.	s.	PROPN
alkej-19	163	12	n.	n.	PROPN
alkej-19	163	13	srihari	srihari	PROPN
alkej-19	163	14	,	,	PUNCT
alkej-19	163	15	“	"	PUNCT
alkej-19	163	16	decision	decision	NOUN
alkej-19	163	17	combination	combination	NOUN
alkej-19	163	18	in	in	ADP
alkej-19	163	19	multiple	multiple	ADJ
alkej-19	163	20	classifier	classifier	NOUN
alkej-19	163	21	systems	system	NOUN
alkej-19	163	22	”	"	PUNCT
alkej-19	163	23	,	,	PUNCT
alkej-19	163	24	ieee	ieee	PROPN
alkej-19	163	25	trans	trans	PROPN
alkej-19	163	26	.	.	PUNCT
alkej-19	164	1	on	on	ADP
alkej-19	164	2	patt	patt	PROPN
alkej-19	164	3	.	.	PUNCT
alkej-19	165	1	anal	anal	PROPN
alkej-19	165	2	.	.	PUNCT
alkej-19	166	1	and	and	CCONJ
alkej-19	166	2	mach	mach	PROPN
alkej-19	166	3	.	.	PUNCT
alkej-19	167	1	intel	intel	PROPN
alkej-19	167	2	.	.	PROPN
alkej-19	167	3	,	,	PUNCT
alkej-19	167	4	vol	vol	NOUN
alkej-19	167	5	.	.	PROPN
alkej-19	168	1	16	16	NUM
alkej-19	168	2	,	,	PUNCT
alkej-19	168	3	no	no	INTJ
alkej-19	168	4	.	.	NOUN
alkej-19	168	5	1	1	NUM
alkej-19	168	6	,	,	PUNCT
alkej-19	168	7	pp	pp	ADJ
alkej-19	168	8	.	.	PUNCT
alkej-19	169	1	66	66	NUM
alkej-19	169	2	-	-	SYM
alkej-19	169	3	75,jan	75,jan	NUM
alkej-19	169	4	.	.	NOUN
alkej-19	169	5	1994	1994	NUM
alkej-19	170	1	9	9	NUM
alkej-19	170	2	.	.	PUNCT
alkej-19	170	3	b.	b.	PROPN
alkej-19	170	4	kepenekci	kepenekci	PROPN
alkej-19	170	5	,	,	PUNCT
alkej-19	170	6	"	"	PUNCT
alkej-19	170	7	face	face	NOUN
alkej-19	170	8	recognition	recognition	NOUN
alkej-19	170	9	using	use	VERB
alkej-19	170	10	gabor	gabor	PROPN
alkej-19	170	11	wavelet	wavelet	PROPN
alkej-19	170	12	transform	transform	PROPN
alkej-19	170	13	'	'	PUNCT
alkej-19	170	14	”	"	PUNCT
alkej-19	170	15	,	,	PUNCT
alkej-19	170	16	a	a	DET
alkej-19	170	17	thesis	thesis	NOUN
alkej-19	170	18	to	to	ADP
alkej-19	170	19	the	the	DET
alkej-19	170	20	graduate	graduate	ADJ
alkej-19	170	21	school	school	NOUN
alkej-19	170	22	of	of	ADP
alkej-19	170	23	natural	natural	ADJ
alkej-19	170	24	sciences	science	NOUN
alkej-19	170	25	of	of	ADP
alkej-19	170	26	the	the	DET
alkej-19	170	27	middle	middle	PROPN
alkej-19	170	28	east	east	PROPN
alkej-19	170	29	technical	technical	PROPN
alkej-19	170	30	university	university	PROPN
alkej-19	170	31	,	,	PUNCT
alkej-19	170	32	the	the	DET
alkej-19	170	33	department	department	NOUN
alkej-19	170	34	of	of	ADP
alkej-19	170	35	electrical	electrical	ADJ
alkej-19	170	36	and	and	CCONJ
alkej-19	170	37	electronics	electronic	NOUN
alkej-19	170	38	engineering	engineering	NOUN
alkej-19	170	39	,	,	PUNCT
alkej-19	170	40	2001	2001	NUM
alkej-19	170	41	.	.	PUNCT
alkej-19	171	1	tarik	tarik	PROPN
alkej-19	171	2	zeyad	zeyad	PROPN
alkej-19	171	3	/al	/al	PROPN
alkej-19	171	4	-	-	PUNCT
alkej-19	171	5	khwarizmi	khwarizmi	PROPN
alkej-19	171	6	engineering	engineering	NOUN
alkej-19	171	7	journal	journal	PROPN
alkej-19	171	8	,	,	PUNCT
alkej-19	171	9	vol.1	vol.1	PROPN
alkej-19	171	10	,	,	PUNCT
alkej-19	171	11	no	no	INTJ
alkej-19	171	12	.	.	PUNCT
alkej-19	172	1	1,pp	1,pp	NUM
alkej-19	172	2	38	38	NUM
alkej-19	172	3	-	-	SYM
alkej-19	172	4	45	45	NUM
alkej-19	172	5	(	(	PUNCT
alkej-19	172	6	2005	2005	NUM
alkej-19	172	7	)	)	PUNCT
alkej-19	172	8	٤٥	٤٥	NUM
alkej-19	172	9	وانواع	وانواع	NOUN
alkej-19	172	10	مختلفة	مختلفة	PROPN
alkej-19	172	11	من	من	PRON
alkej-19	172	12	الشبكات	الشبكات	PROPN
alkej-19	172	13	العصبية	العصبية	PROPN
alkej-19	172	14	gaborتمييز	gaborتمييز	PROPN
alkej-19	172	15	االوجه	االوجه	PROPN
alkej-19	172	16	البشرية	البشرية	PROPN
alkej-19	172	17	باستعمال	باستعمال	PROPN
alkej-19	172	18	المرشح	المرشح	PROPN
alkej-19	172	19	من	من	NUM
alkej-19	172	20	نوع	نوع	ADJ
alkej-19	172	21	التنظيم	التنظيم	PROPN
alkej-19	172	22	الذاتي	الذاتي	PROPN
alkej-19	172	23	طارق	طارق	NOUN
alkej-19	172	24	زياد	زياد	VERB
alkej-19	172	25	.	.	PUNCT
alkej-19	173	1	د	د	PRON
alkej-19	173	2	جامعة	جامعة	PROPN
alkej-19	173	3	بغداد	بغداد	PROPN
alkej-19	173	4	/	/	SYM
alkej-19	173	5	كلية	كلية	NOUN
alkej-19	173	6	الهندسة	الهندسة	NOUN
alkej-19	173	7	/	/	SYM
alkej-19	173	8	قسم	قسم	PROPN
alkej-19	173	9	الهندسة	الهندسة	VERB
alkej-19	173	10	الكهربائية	الكهربائية	NOUN
alkej-19	173	11	:	:	PUNCT
alkej-19	173	12	الخالصة	الخالصة	PROPN
alkej-19	173	13	قاعدة	قاعدة	PROPN
alkej-19	173	14	بيانات	بيانات	VERB
alkej-19	173	15	والثانية	والثانية	PROPN
alkej-19	173	16	هي	هي	PROPN
alkej-19	173	17	المرحلة	المرحلة	PROPN
alkej-19	173	18	األولى	األولى	PROPN
alkej-19	173	19	هي	هي	PROPN
alkej-19	173	20	بناء	بناء	PROPN
alkej-19	173	21	.	.	PUNCT
alkej-19	174	1	تم	تم	VERB
alkej-19	174	2	في	في	DET
alkej-19	174	3	هذا	هذا	NOUN
alkej-19	174	4	البحث	البحث	NOUN
alkej-19	174	5	بناء	بناء	ADP
alkej-19	174	6	منظومة	منظومة	PROPN
alkej-19	174	7	لتمييز	لتمييز	PROPN
alkej-19	174	8	األوجه	األوجه	PROPN
alkej-19	174	9	متكونة	متكونة	PROPN
alkej-19	174	10	من	من	PROPN
alkej-19	174	11	مرحلتين	مرحلتين	NOUN
alkej-19	174	12	في	في	PRON
alkej-19	174	13	مرحلة	مرحلة	PROPN
alkej-19	174	14	بناء	بناء	PROPN
alkej-19	174	15	قاعدة	قاعدة	PROPN
alkej-19	174	16	البيانات	البيانات	PROPN
alkej-19	174	17	تم	تم	PUNCT
alkej-19	174	18	استعمال	استعمال	PROPN
alkej-19	174	19	شبكات	شبكات	PROPN
alkej-19	174	20	عصبية	عصبية	NOUN
alkej-19	174	21	نوع	نوع	VERB
alkej-19	174	22	التنظيم	التنظيم	PROPN
alkej-19	174	23	الذاتي	الذاتي	ADV
alkej-19	174	24	.	.	PUNCT
alkej-19	175	1	هذه	هذه	VERB
alkej-19	175	2	في	في	PRON
alkej-19	175	3	عملية	عملية	NOUN
alkej-19	175	4	التمييز	التمييز	NOUN
alkej-19	175	5	استعمال	استعمال	PROPN
alkej-19	175	6	قواعد	قواعد	PROPN
alkej-19	175	7	البيانات	البيانات	PROPN
alkej-19	176	1	وبناءا	وبناءا	PROPN
alkej-19	176	2	عليه	عليه	PROPN
alkej-19	176	3	تم	تم	PUNCT
alkej-19	176	4	االستنتاج	االستنتاج	PROPN
alkej-19	176	5	بأن	بأن	PROPN
alkej-19	176	6	النموذج	النموذج	PROPN
alkej-19	176	7	الالخطي	الالخطي	PROPN
alkej-19	176	8	يعمل	يعمل	PROPN
alkej-19	176	9	أفضل	أفضل	PROPN
alkej-19	176	10	من	من	PROPN
alkej-19	176	11	)	)	PUNCT
alkej-19	176	12	خطية	خطية	PROPN
alkej-19	176	13	وال	وال	PROPN
alkej-19	176	14	خطية(بأنواع	خطية(بأنواع	PROPN
alkej-19	176	15	مختلفة	مختلفة	ADJ
alkej-19	176	16	وتم	وتم	PROPN
alkej-19	176	17	المقارنة	المقارنة	PROPN
alkej-19	176	18	بين	بين	PROPN
alkej-19	176	19	هذه	هذه	VERB
alkej-19	176	20	األنواع	األنواع	NOUN
alkej-19	176	21	.	.	PUNCT
alkej-19	177	1	gaborالنموذج	gaborالنموذج	PROPN
alkej-19	177	2	الخطي	الخطي	PROPN
alkej-19	177	3	وكذلك	وكذلك	PROPN
alkej-19	177	4	استخدام	استخدام	PROPN
alkej-19	177	5	المرشح	المرشح	VERB
alkej-19	177	6	نوع	نوع	ADJ
alkej-19	177	7	كلغة	كلغة	NOUN
alkej-19	177	8	برمجة	برمجة	NOUN
alkej-19	177	9	في	في	ADP
alkej-19	177	10	+	+	ADJ
alkej-19	177	11	+	+	ADJ
alkej-19	177	12	cتم	cتم	ADJ
alkej-19	177	13	استخدام	استخدام	PROPN
alkej-19	177	14	قاعدة	قاعدة	PROPN
alkej-19	177	15	بيانات	بيانات	PROPN
alkej-19	177	16	متالفةمن	متالفةمن	ADJ
alkej-19	177	17	عشرين	عشرين	NOUN
alkej-19	177	18	شخص	شخص	ADJ
alkej-19	177	19	ولكل	ولكل	NOUN
alkej-19	177	20	شخص	شخص	VERB
alkej-19	177	21	تم	تم	NOUN
alkej-19	177	22	استخدام	استخدام	NOUN
alkej-19	177	23	ستة	ستة	ADV
alkej-19	177	24	صور	صور	NOUN
alkej-19	177	25	مع	مع	INTJ
alkej-19	177	26	استخدام	استخدام	NOUN
alkej-19	177	27	لغة	لغة	INTJ
alkej-19	177	28	.	.	PUNCT
alkej-19	178	1	بناء	بناء	ADV
alkej-19	178	2	المنظومة	المنظومة	VERB