id	sid	tid	token	lemma	pos
iajs-2527	1	1	microsoft	microsoft	PROPN
iajs-2527	1	2	word	word	NOUN
iajs-2527	1	3	148	148	NUM
iajs-2527	1	4	-	-	SYM
iajs-2527	1	5	158	158	NUM
iajs-2527	1	6	ibn	ibn	PROPN
iajs-2527	1	7	al	al	PROPN
iajs-2527	1	8	-	-	PUNCT
iajs-2527	1	9	haitham	haitham	PROPN
iajs-2527	1	10	jour	jour	X
iajs-2527	1	11	.	.	PROPN
iajs-2527	2	1	for	for	ADP
iajs-2527	2	2	pure	pure	ADJ
iajs-2527	2	3	&	&	CCONJ
iajs-2527	2	4	appl	appl	PROPN
iajs-2527	2	5	.	.	PUNCT
iajs-2527	3	1	sci	sci	PROPN
iajs-2527	3	2	.	.	PROPN
iajs-2527	4	1	33	33	NUM
iajs-2527	4	2	(	(	PUNCT
iajs-2527	4	3	4	4	NUM
iajs-2527	4	4	)	)	PUNCT
iajs-2527	4	5	2020	2020	NUM
iajs-2527	4	6	  	  	SPACE
iajs-2527	4	7	148	148	NUM
iajs-2527	4	8	    	    	SPACE
iajs-2527	4	9	performance	performance	NOUN
iajs-2527	4	10	enhancement	enhancement	NOUN
iajs-2527	4	11	of	of	ADP
iajs-2527	4	12	face	face	NOUN
iajs-2527	4	13	recognition	recognition	NOUN
iajs-2527	4	14	under	under	ADP
iajs-2527	4	15	high	high	ADJ
iajs-2527	4	16	-	-	PUNCT
iajs-2527	4	17	density	density	NOUN
iajs-2527	4	18	noise	noise	NOUN
iajs-2527	4	19	using	use	VERB
iajs-2527	4	20	pca	pca	PROPN
iajs-2527	4	21	and	and	CCONJ
iajs-2527	4	22	de	de	ADJ
iajs-2527	4	23	-	-	ADJ
iajs-2527	4	24	noising	noising	ADJ
iajs-2527	4	25	technique	technique	NOUN
iajs-2527	4	26	nada	nada	PROPN
iajs-2527	4	27	jasim	jasim	PROPN
iajs-2527	4	28	habeeb	habeeb	PROPN
iajs-2527	4	29	middle	middle	PROPN
iajs-2527	4	30	technical	technical	PROPN
iajs-2527	4	31	university	university	PROPN
iajs-2527	4	32	nadaj2013@gmail.com	nadaj2013@gmail.com	NOUN
iajs-2527	4	33	article	article	NOUN
iajs-2527	4	34	history	history	NOUN
iajs-2527	4	35	:	:	PUNCT
iajs-2527	4	36	received	receive	VERB
iajs-2527	4	37	19	19	NUM
iajs-2527	4	38	may	may	PROPN
iajs-2527	4	39	2020	2020	NUM
iajs-2527	4	40	,	,	PUNCT
iajs-2527	4	41	accepted	accept	VERB
iajs-2527	4	42	28	28	NUM
iajs-2527	4	43	june	june	PROPN
iajs-2527	4	44	,	,	PUNCT
iajs-2527	4	45	published	publish	VERB
iajs-2527	4	46	october	october	PROPN
iajs-2527	4	47	2020	2020	NUM
iajs-2527	4	48	.	.	PUNCT
iajs-2527	5	1	doi	doi	NOUN
iajs-2527	5	2	:	:	PUNCT
iajs-2527	5	3	10.30526/33.4.2527	10.30526/33.4.2527	PROPN
iajs-2527	5	4	abstarct	abstarct	NOUN
iajs-2527	5	5	there	there	PRON
iajs-2527	5	6	are	be	VERB
iajs-2527	5	7	many	many	ADJ
iajs-2527	5	8	techniques	technique	NOUN
iajs-2527	5	9	for	for	ADP
iajs-2527	5	10	face	face	NOUN
iajs-2527	5	11	recognition	recognition	NOUN
iajs-2527	5	12	which	which	PRON
iajs-2527	5	13	compare	compare	VERB
iajs-2527	5	14	the	the	DET
iajs-2527	5	15	desired	desire	VERB
iajs-2527	5	16	face	face	NOUN
iajs-2527	5	17	image	image	NOUN
iajs-2527	5	18	with	with	ADP
iajs-2527	5	19	a	a	DET
iajs-2527	5	20	set	set	NOUN
iajs-2527	5	21	of	of	ADP
iajs-2527	5	22	faces	face	NOUN
iajs-2527	5	23	images	image	NOUN
iajs-2527	5	24	stored	store	VERB
iajs-2527	5	25	in	in	ADP
iajs-2527	5	26	a	a	DET
iajs-2527	5	27	database	database	NOUN
iajs-2527	5	28	.	.	PUNCT
iajs-2527	6	1	most	most	ADJ
iajs-2527	6	2	of	of	ADP
iajs-2527	6	3	these	these	DET
iajs-2527	6	4	techniques	technique	NOUN
iajs-2527	6	5	fail	fail	VERB
iajs-2527	6	6	if	if	SCONJ
iajs-2527	6	7	faces	face	NOUN
iajs-2527	6	8	images	image	NOUN
iajs-2527	6	9	are	be	AUX
iajs-2527	6	10	exposed	expose	VERB
iajs-2527	6	11	to	to	ADP
iajs-2527	6	12	high	high	ADJ
iajs-2527	6	13	-	-	PUNCT
iajs-2527	6	14	density	density	NOUN
iajs-2527	6	15	noise	noise	NOUN
iajs-2527	6	16	.	.	PUNCT
iajs-2527	7	1	therefore	therefore	ADV
iajs-2527	7	2	,	,	PUNCT
iajs-2527	7	3	it	it	PRON
iajs-2527	7	4	is	be	AUX
iajs-2527	7	5	necessary	necessary	ADJ
iajs-2527	7	6	to	to	PART
iajs-2527	7	7	find	find	VERB
iajs-2527	7	8	a	a	DET
iajs-2527	7	9	robust	robust	ADJ
iajs-2527	7	10	method	method	NOUN
iajs-2527	7	11	to	to	PART
iajs-2527	7	12	recognize	recognize	VERB
iajs-2527	7	13	the	the	DET
iajs-2527	7	14	corrupted	corrupted	ADJ
iajs-2527	7	15	face	face	NOUN
iajs-2527	7	16	image	image	NOUN
iajs-2527	7	17	with	with	ADP
iajs-2527	7	18	a	a	DET
iajs-2527	7	19	high	high	ADJ
iajs-2527	7	20	density	density	NOUN
iajs-2527	7	21	noise	noise	NOUN
iajs-2527	7	22	.	.	PUNCT
iajs-2527	8	1	in	in	ADP
iajs-2527	8	2	this	this	DET
iajs-2527	8	3	work	work	NOUN
iajs-2527	8	4	,	,	PUNCT
iajs-2527	8	5	face	face	NOUN
iajs-2527	8	6	recognition	recognition	NOUN
iajs-2527	8	7	algorithm	algorithm	NOUN
iajs-2527	8	8	was	be	AUX
iajs-2527	8	9	suggested	suggest	VERB
iajs-2527	8	10	by	by	ADP
iajs-2527	8	11	using	use	VERB
iajs-2527	8	12	the	the	DET
iajs-2527	8	13	combination	combination	NOUN
iajs-2527	8	14	of	of	ADP
iajs-2527	8	15	de	de	ADJ
iajs-2527	8	16	-	-	ADJ
iajs-2527	8	17	noising	noising	ADJ
iajs-2527	8	18	filter	filter	NOUN
iajs-2527	8	19	and	and	CCONJ
iajs-2527	8	20	pca	pca	PROPN
iajs-2527	8	21	.	.	PUNCT
iajs-2527	9	1	many	many	ADJ
iajs-2527	9	2	studies	study	NOUN
iajs-2527	9	3	have	have	AUX
iajs-2527	9	4	shown	show	VERB
iajs-2527	9	5	that	that	SCONJ
iajs-2527	9	6	pca	pca	PROPN
iajs-2527	9	7	has	have	VERB
iajs-2527	9	8	ability	ability	NOUN
iajs-2527	9	9	to	to	PART
iajs-2527	9	10	solve	solve	VERB
iajs-2527	9	11	the	the	DET
iajs-2527	9	12	problem	problem	NOUN
iajs-2527	9	13	of	of	ADP
iajs-2527	9	14	noisy	noisy	ADJ
iajs-2527	9	15	images	image	NOUN
iajs-2527	9	16	and	and	CCONJ
iajs-2527	9	17	dimensionality	dimensionality	NOUN
iajs-2527	9	18	reduction	reduction	NOUN
iajs-2527	9	19	.	.	PUNCT
iajs-2527	10	1	however	however	ADV
iajs-2527	10	2	,	,	PUNCT
iajs-2527	10	3	in	in	ADP
iajs-2527	10	4	cases	case	NOUN
iajs-2527	10	5	where	where	SCONJ
iajs-2527	10	6	faces	face	VERB
iajs-2527	10	7	images	image	NOUN
iajs-2527	10	8	are	be	AUX
iajs-2527	10	9	exposed	expose	VERB
iajs-2527	10	10	to	to	ADP
iajs-2527	10	11	high	high	ADJ
iajs-2527	10	12	noise	noise	NOUN
iajs-2527	10	13	,	,	PUNCT
iajs-2527	10	14	the	the	DET
iajs-2527	10	15	work	work	NOUN
iajs-2527	10	16	of	of	ADP
iajs-2527	10	17	pca	pca	NOUN
iajs-2527	10	18	in	in	ADP
iajs-2527	10	19	removing	remove	VERB
iajs-2527	10	20	noise	noise	NOUN
iajs-2527	10	21	is	be	AUX
iajs-2527	10	22	useless	useless	ADJ
iajs-2527	10	23	,	,	PUNCT
iajs-2527	10	24	therefore	therefore	ADV
iajs-2527	10	25	adding	add	VERB
iajs-2527	10	26	a	a	DET
iajs-2527	10	27	strong	strong	ADJ
iajs-2527	10	28	filter	filter	NOUN
iajs-2527	10	29	will	will	AUX
iajs-2527	10	30	help	help	VERB
iajs-2527	10	31	to	to	PART
iajs-2527	10	32	improve	improve	VERB
iajs-2527	10	33	the	the	DET
iajs-2527	10	34	performance	performance	NOUN
iajs-2527	10	35	of	of	ADP
iajs-2527	10	36	recognizing	recognize	VERB
iajs-2527	10	37	faces	face	NOUN
iajs-2527	10	38	in	in	ADP
iajs-2527	10	39	the	the	DET
iajs-2527	10	40	case	case	NOUN
iajs-2527	10	41	of	of	ADP
iajs-2527	10	42	existing	exist	VERB
iajs-2527	10	43	high	high	ADJ
iajs-2527	10	44	-	-	PUNCT
iajs-2527	10	45	density	density	NOUN
iajs-2527	10	46	noise	noise	NOUN
iajs-2527	10	47	in	in	ADP
iajs-2527	10	48	faces	face	NOUN
iajs-2527	10	49	images	image	NOUN
iajs-2527	10	50	.	.	PUNCT
iajs-2527	11	1	in	in	ADP
iajs-2527	11	2	this	this	DET
iajs-2527	11	3	paper	paper	NOUN
iajs-2527	11	4	,	,	PUNCT
iajs-2527	11	5	median	median	ADJ
iajs-2527	11	6	filter	filter	NOUN
iajs-2527	11	7	,	,	PUNCT
iajs-2527	11	8	hybrid	hybrid	ADJ
iajs-2527	11	9	median	median	ADJ
iajs-2527	11	10	filter	filter	NOUN
iajs-2527	11	11	,	,	PUNCT
iajs-2527	11	12	adaptive	adaptive	ADJ
iajs-2527	11	13	median	median	ADJ
iajs-2527	11	14	filter	filter	NOUN
iajs-2527	11	15	,	,	PUNCT
iajs-2527	11	16	and	and	CCONJ
iajs-2527	11	17	adaptive	adaptive	ADJ
iajs-2527	11	18	weighted	weight	VERB
iajs-2527	11	19	mean	mean	ADJ
iajs-2527	11	20	filter	filter	NOUN
iajs-2527	11	21	were	be	AUX
iajs-2527	11	22	used	use	VERB
iajs-2527	11	23	to	to	PART
iajs-2527	11	24	remove	remove	VERB
iajs-2527	11	25	the	the	DET
iajs-2527	11	26	noise	noise	NOUN
iajs-2527	11	27	from	from	ADP
iajs-2527	11	28	the	the	DET
iajs-2527	11	29	faces	face	NOUN
iajs-2527	11	30	images	image	NOUN
iajs-2527	11	31	,	,	PUNCT
iajs-2527	11	32	and	and	CCONJ
iajs-2527	11	33	they	they	PRON
iajs-2527	11	34	were	be	AUX
iajs-2527	11	35	compared	compare	VERB
iajs-2527	11	36	in	in	ADP
iajs-2527	11	37	order	order	NOUN
iajs-2527	11	38	to	to	PART
iajs-2527	11	39	use	use	VERB
iajs-2527	11	40	the	the	DET
iajs-2527	11	41	best	good	ADJ
iajs-2527	11	42	of	of	ADP
iajs-2527	11	43	these	these	DET
iajs-2527	11	44	filters	filter	NOUN
iajs-2527	11	45	as	as	ADP
iajs-2527	11	46	a	a	DET
iajs-2527	11	47	pre	pre	ADJ
iajs-2527	11	48	-	-	ADJ
iajs-2527	11	49	processing	processing	ADJ
iajs-2527	11	50	step	step	NOUN
iajs-2527	11	51	before	before	ADP
iajs-2527	11	52	the	the	DET
iajs-2527	11	53	face	face	NOUN
iajs-2527	11	54	recognition	recognition	NOUN
iajs-2527	11	55	process	process	NOUN
iajs-2527	11	56	.	.	PUNCT
iajs-2527	12	1	experimental	experimental	ADJ
iajs-2527	12	2	results	result	NOUN
iajs-2527	12	3	showed	show	VERB
iajs-2527	12	4	that	that	SCONJ
iajs-2527	12	5	the	the	DET
iajs-2527	12	6	adaptive	adaptive	NOUN
iajs-2527	12	7	weighted	weight	VERB
iajs-2527	12	8	mean	mean	NOUN
iajs-2527	12	9	filter	filter	NOUN
iajs-2527	12	10	gave	give	VERB
iajs-2527	12	11	better	well	ADJ
iajs-2527	12	12	results	result	NOUN
iajs-2527	12	13	compared	compare	VERB
iajs-2527	12	14	with	with	ADP
iajs-2527	12	15	the	the	DET
iajs-2527	12	16	other	other	ADJ
iajs-2527	12	17	filters	filter	NOUN
iajs-2527	12	18	.	.	PUNCT
iajs-2527	13	1	thus	thus	ADV
iajs-2527	13	2	,	,	PUNCT
iajs-2527	13	3	the	the	DET
iajs-2527	13	4	performance	performance	NOUN
iajs-2527	13	5	of	of	ADP
iajs-2527	13	6	face	face	NOUN
iajs-2527	13	7	recognition	recognition	NOUN
iajs-2527	13	8	process	process	NOUN
iajs-2527	13	9	was	be	AUX
iajs-2527	13	10	improved	improve	VERB
iajs-2527	13	11	under	under	ADP
iajs-2527	13	12	high	high	ADJ
iajs-2527	13	13	-	-	PUNCT
iajs-2527	13	14	density	density	NOUN
iajs-2527	13	15	noise	noise	NOUN
iajs-2527	13	16	using	use	VERB
iajs-2527	13	17	the	the	DET
iajs-2527	13	18	adaptive	adaptive	ADJ
iajs-2527	13	19	weighted	weight	VERB
iajs-2527	13	20	mean	mean	ADJ
iajs-2527	13	21	filter	filter	NOUN
iajs-2527	13	22	and	and	CCONJ
iajs-2527	13	23	principal	principal	ADJ
iajs-2527	13	24	component	component	NOUN
iajs-2527	13	25	analysis	analysis	NOUN
iajs-2527	13	26	.	.	PUNCT
iajs-2527	14	1	for	for	ADP
iajs-2527	14	2	the	the	DET
iajs-2527	14	3	corrupted	corrupted	ADJ
iajs-2527	14	4	images	image	NOUN
iajs-2527	14	5	by	by	ADP
iajs-2527	14	6	90	90	NUM
iajs-2527	14	7	%	%	NOUN
iajs-2527	14	8	noise	noise	NOUN
iajs-2527	14	9	density	density	NOUN
iajs-2527	14	10	,	,	PUNCT
iajs-2527	14	11	recognition	recognition	NOUN
iajs-2527	14	12	rate	rate	NOUN
iajs-2527	14	13	by	by	ADP
iajs-2527	14	14	using	use	VERB
iajs-2527	14	15	median	median	ADJ
iajs-2527	14	16	filter	filter	NOUN
iajs-2527	14	17	reached	reach	VERB
iajs-2527	14	18	0	0	NUM
iajs-2527	14	19	%	%	NOUN
iajs-2527	14	20	and	and	CCONJ
iajs-2527	14	21	33	33	NUM
iajs-2527	14	22	%	%	NOUN
iajs-2527	14	23	by	by	ADP
iajs-2527	14	24	using	use	VERB
iajs-2527	14	25	hybrid	hybrid	ADJ
iajs-2527	14	26	median	median	ADJ
iajs-2527	14	27	filter	filter	NOUN
iajs-2527	14	28	.	.	PUNCT
iajs-2527	15	1	while	while	SCONJ
iajs-2527	15	2	recognition	recognition	NOUN
iajs-2527	15	3	rate	rate	NOUN
iajs-2527	15	4	by	by	ADP
iajs-2527	15	5	using	use	VERB
iajs-2527	15	6	the	the	DET
iajs-2527	15	7	adaptive	adaptive	ADJ
iajs-2527	15	8	median	median	ADJ
iajs-2527	15	9	filter	filter	NOUN
iajs-2527	15	10	and	and	CCONJ
iajs-2527	15	11	adaptive	adaptive	ADJ
iajs-2527	15	12	weighted	weight	VERB
iajs-2527	15	13	mean	mean	NOUN
iajs-2527	15	14	filter	filter	NOUN
iajs-2527	15	15	reached	reach	VERB
iajs-2527	15	16	100	100	NUM
iajs-2527	15	17	%	%	NOUN
iajs-2527	15	18	.	.	PUNCT
iajs-2527	16	1	keywords	keyword	NOUN
iajs-2527	16	2	:	:	PUNCT
iajs-2527	16	3	hybrid	hybrid	ADJ
iajs-2527	16	4	median	median	ADJ
iajs-2527	16	5	filter	filter	NOUN
iajs-2527	16	6	,	,	PUNCT
iajs-2527	16	7	adaptive	adaptive	ADJ
iajs-2527	16	8	median	median	ADJ
iajs-2527	16	9	filter	filter	NOUN
iajs-2527	16	10	,	,	PUNCT
iajs-2527	16	11	adaptive	adaptive	NOUN
iajs-2527	16	12	weighted	weight	VERB
iajs-2527	16	13	mean	mean	NOUN
iajs-2527	16	14	filter	filter	NOUN
iajs-2527	16	15	,	,	PUNCT
iajs-2527	16	16	pca	pca	PROPN
iajs-2527	16	17	,	,	PUNCT
iajs-2527	16	18	face	face	NOUN
iajs-2527	16	19	recognition	recognition	NOUN
iajs-2527	16	20	,	,	PUNCT
iajs-2527	16	21	high	high	ADJ
iajs-2527	16	22	-	-	PUNCT
iajs-2527	16	23	density	density	NOUN
iajs-2527	16	24	noise	noise	NOUN
iajs-2527	16	25	.	.	PUNCT
iajs-2527	17	1	ibn	ibn	PROPN
iajs-2527	17	2	al	al	PROPN
iajs-2527	17	3	haitham	haitham	PROPN
iajs-2527	17	4	journal	journal	PROPN
iajs-2527	17	5	for	for	ADP
iajs-2527	17	6	pure	pure	ADJ
iajs-2527	17	7	and	and	CCONJ
iajs-2527	17	8	applied	apply	VERB
iajs-2527	17	9	science	science	NOUN
iajs-2527	17	10	journal	journal	PROPN
iajs-2527	17	11	homepage	homepage	NOUN
iajs-2527	17	12	:	:	PUNCT
iajs-2527	17	13	http://jih.uobaghdad.edu.iq/index.php/j/index	http://jih.uobaghdad.edu.iq/index.php/j/index	NOUN
iajs-2527	17	14	      	      	SPACE
iajs-2527	17	15	149	149	NUM
iajs-2527	17	16	  	  	SPACE
iajs-2527	17	17	ibn	ibn	PROPN
iajs-2527	17	18	al	al	PROPN
iajs-2527	17	19	-	-	PUNCT
iajs-2527	17	20	haitham	haitham	PROPN
iajs-2527	17	21	jour	jour	X
iajs-2527	17	22	.	.	PROPN
iajs-2527	18	1	for	for	ADP
iajs-2527	18	2	pure	pure	ADJ
iajs-2527	18	3	&	&	CCONJ
iajs-2527	18	4	appl	appl	PROPN
iajs-2527	18	5	.	.	PUNCT
iajs-2527	19	1	sci	sci	PROPN
iajs-2527	19	2	.	.	PROPN
iajs-2527	20	1	33	33	NUM
iajs-2527	20	2	(	(	PUNCT
iajs-2527	20	3	4	4	NUM
iajs-2527	20	4	)	)	PUNCT
iajs-2527	20	5	2020	2020	NUM
iajs-2527	21	1	1	1	NUM
iajs-2527	21	2	.	.	PUNCT
iajs-2527	22	1	introduction	introduction	NOUN
iajs-2527	22	2	face	face	NOUN
iajs-2527	22	3	recognition	recognition	NOUN
iajs-2527	22	4	has	have	AUX
iajs-2527	22	5	become	become	VERB
iajs-2527	22	6	the	the	DET
iajs-2527	22	7	basis	basis	NOUN
iajs-2527	22	8	in	in	ADP
iajs-2527	22	9	many	many	ADJ
iajs-2527	22	10	fields	field	NOUN
iajs-2527	22	11	due	due	ADP
iajs-2527	22	12	to	to	ADP
iajs-2527	22	13	the	the	DET
iajs-2527	22	14	flexibility	flexibility	NOUN
iajs-2527	22	15	and	and	CCONJ
iajs-2527	22	16	high	high	ADJ
iajs-2527	22	17	degree	degree	NOUN
iajs-2527	22	18	of	of	ADP
iajs-2527	22	19	security	security	NOUN
iajs-2527	22	20	in	in	ADP
iajs-2527	22	21	recognition	recognition	NOUN
iajs-2527	22	22	of	of	ADP
iajs-2527	22	23	the	the	DET
iajs-2527	22	24	real	real	ADJ
iajs-2527	22	25	personality	personality	NOUN
iajs-2527	22	26	because	because	SCONJ
iajs-2527	22	27	it	it	PRON
iajs-2527	22	28	relies	rely	VERB
iajs-2527	22	29	on	on	ADP
iajs-2527	22	30	personality	personality	NOUN
iajs-2527	22	31	traits	trait	NOUN
iajs-2527	22	32	in	in	ADP
iajs-2527	22	33	human	human	ADJ
iajs-2527	22	34	face	face	NOUN
iajs-2527	22	35	recognition	recognition	NOUN
iajs-2527	22	36	.	.	PUNCT
iajs-2527	23	1	face	face	NOUN
iajs-2527	23	2	recognition	recognition	NOUN
iajs-2527	23	3	is	be	AUX
iajs-2527	23	4	one	one	NUM
iajs-2527	23	5	of	of	ADP
iajs-2527	23	6	the	the	DET
iajs-2527	23	7	methods	method	NOUN
iajs-2527	23	8	of	of	ADP
iajs-2527	23	9	biometric	biometric	NOUN
iajs-2527	23	10	that	that	PRON
iajs-2527	23	11	has	have	VERB
iajs-2527	23	12	high	high	ADJ
iajs-2527	23	13	discrimination	discrimination	NOUN
iajs-2527	23	14	accuracy	accuracy	NOUN
iajs-2527	23	15	and	and	CCONJ
iajs-2527	23	16	it	it	PRON
iajs-2527	23	17	is	be	AUX
iajs-2527	23	18	applied	apply	VERB
iajs-2527	23	19	in	in	ADP
iajs-2527	23	20	 	 	SPACE
iajs-2527	23	21	applications	application	NOUN
iajs-2527	23	22	such	such	ADJ
iajs-2527	23	23	as	as	ADP
iajs-2527	23	24	field	field	NOUN
iajs-2527	23	25	confidentiality	confidentiality	NOUN
iajs-2527	23	26	,	,	PUNCT
iajs-2527	23	27	image	image	NOUN
iajs-2527	23	28	processing	processing	NOUN
iajs-2527	23	29	,	,	PUNCT
iajs-2527	23	30	computer	computer	NOUN
iajs-2527	23	31	vision	vision	NOUN
iajs-2527	23	32	,	,	PUNCT
iajs-2527	23	33	access	access	NOUN
iajs-2527	23	34	control	control	NOUN
iajs-2527	23	35	,	,	PUNCT
iajs-2527	23	36	video	video	NOUN
iajs-2527	23	37	surveillance	surveillance	NOUN
iajs-2527	23	38	,	,	PUNCT
iajs-2527	23	39	etc	etc	X
iajs-2527	23	40	.	.	X
iajs-2527	23	41	the	the	DET
iajs-2527	23	42	most	most	ADV
iajs-2527	23	43	recent	recent	ADJ
iajs-2527	23	44	developments	development	NOUN
iajs-2527	23	45	in	in	ADP
iajs-2527	23	46	face	face	NOUN
iajs-2527	23	47	recognition	recognition	NOUN
iajs-2527	23	48	can	can	AUX
iajs-2527	23	49	be	be	AUX
iajs-2527	23	50	found	find	VERB
iajs-2527	23	51	in	in	ADP
iajs-2527	23	52	[	[	X
iajs-2527	23	53	1	1	NUM
iajs-2527	23	54	]	]	PUNCT
iajs-2527	23	55	.	.	PUNCT
iajs-2527	24	1	however	however	ADV
iajs-2527	24	2	,	,	PUNCT
iajs-2527	24	3	sometimes	sometimes	ADV
iajs-2527	24	4	the	the	DET
iajs-2527	24	5	noise	noise	NOUN
iajs-2527	24	6	occurs	occur	VERB
iajs-2527	24	7	in	in	ADP
iajs-2527	24	8	the	the	DET
iajs-2527	24	9	face	face	NOUN
iajs-2527	24	10	image	image	NOUN
iajs-2527	24	11	due	due	ADP
iajs-2527	24	12	to	to	ADP
iajs-2527	24	13	various	various	ADJ
iajs-2527	24	14	sources	source	NOUN
iajs-2527	24	15	,	,	PUNCT
iajs-2527	24	16	including	include	VERB
iajs-2527	24	17	noise	noise	NOUN
iajs-2527	24	18	caused	cause	VERB
iajs-2527	24	19	by	by	ADP
iajs-2527	24	20	a	a	DET
iajs-2527	24	21	malfunction	malfunction	NOUN
iajs-2527	24	22	in	in	ADP
iajs-2527	24	23	the	the	DET
iajs-2527	24	24	imaging	imaging	NOUN
iajs-2527	24	25	equipment	equipment	NOUN
iajs-2527	24	26	used	use	VERB
iajs-2527	24	27	,	,	PUNCT
iajs-2527	24	28	noise	noise	NOUN
iajs-2527	24	29	due	due	ADP
iajs-2527	24	30	to	to	ADP
iajs-2527	24	31	an	an	DET
iajs-2527	24	32	error	error	NOUN
iajs-2527	24	33	in	in	ADP
iajs-2527	24	34	the	the	DET
iajs-2527	24	35	process	process	NOUN
iajs-2527	24	36	of	of	ADP
iajs-2527	24	37	data	datum	NOUN
iajs-2527	24	38	transfer	transfer	NOUN
iajs-2527	24	39	which	which	PRON
iajs-2527	24	40	leads	lead	VERB
iajs-2527	24	41	to	to	ADP
iajs-2527	24	42	the	the	DET
iajs-2527	24	43	emergence	emergence	NOUN
iajs-2527	24	44	of	of	ADP
iajs-2527	24	45	spots	spot	NOUN
iajs-2527	24	46	or	or	CCONJ
iajs-2527	24	47	points	point	VERB
iajs-2527	24	48	sporadic	sporadic	ADJ
iajs-2527	24	49	randomness	randomness	NOUN
iajs-2527	24	50	in	in	ADP
iajs-2527	24	51	the	the	DET
iajs-2527	24	52	image	image	NOUN
iajs-2527	24	53	and	and	CCONJ
iajs-2527	24	54	is	be	AUX
iajs-2527	24	55	dark	dark	ADJ
iajs-2527	24	56	or	or	CCONJ
iajs-2527	24	57	light	light	ADJ
iajs-2527	24	58	,	,	PUNCT
iajs-2527	24	59	and	and	CCONJ
iajs-2527	24	60	called	call	VERB
iajs-2527	24	61	the	the	DET
iajs-2527	24	62	salt	salt	NOUN
iajs-2527	24	63	and	and	CCONJ
iajs-2527	24	64	pepper	pepper	NOUN
iajs-2527	24	65	,	,	PUNCT
iajs-2527	24	66	or	or	CCONJ
iajs-2527	24	67	noise	noise	NOUN
iajs-2527	24	68	resulting	result	VERB
iajs-2527	24	69	from	from	ADP
iajs-2527	24	70	image	image	NOUN
iajs-2527	24	71	acquisition	acquisition	NOUN
iajs-2527	24	72	which	which	PRON
iajs-2527	24	73	is	be	AUX
iajs-2527	24	74	called	call	VERB
iajs-2527	24	75	gaussian	gaussian	ADJ
iajs-2527	24	76	noise	noise	NOUN
iajs-2527	24	77	[	[	X
iajs-2527	24	78	2	2	NUM
iajs-2527	24	79	,	,	PUNCT
iajs-2527	24	80	3	3	NUM
iajs-2527	24	81	]	]	PUNCT
iajs-2527	24	82	.	.	PUNCT
iajs-2527	25	1	in	in	ADP
iajs-2527	25	2	the	the	DET
iajs-2527	25	3	case	case	NOUN
iajs-2527	25	4	of	of	ADP
iajs-2527	25	5	severely	severely	ADV
iajs-2527	25	6	deformed	deform	VERB
iajs-2527	25	7	in	in	ADP
iajs-2527	25	8	the	the	DET
iajs-2527	25	9	face	face	NOUN
iajs-2527	25	10	image	image	NOUN
iajs-2527	25	11	because	because	SCONJ
iajs-2527	25	12	the	the	DET
iajs-2527	25	13	image	image	NOUN
iajs-2527	25	14	is	be	AUX
iajs-2527	25	15	exposed	expose	VERB
iajs-2527	25	16	to	to	ADP
iajs-2527	25	17	high	high	ADJ
iajs-2527	25	18	intensity	intensity	NOUN
iajs-2527	25	19	noise	noise	NOUN
iajs-2527	25	20	,	,	PUNCT
iajs-2527	25	21	it	it	PRON
iajs-2527	25	22	is	be	AUX
iajs-2527	25	23	difficult	difficult	ADJ
iajs-2527	25	24	to	to	PART
iajs-2527	25	25	recognize	recognize	VERB
iajs-2527	25	26	the	the	DET
iajs-2527	25	27	face	face	NOUN
iajs-2527	25	28	.	.	PUNCT
iajs-2527	26	1	the	the	DET
iajs-2527	26	2	following	follow	VERB
iajs-2527	26	3	section	section	NOUN
iajs-2527	26	4	presents	present	VERB
iajs-2527	26	5	literature	literature	PROPN
iajs-2527	26	6	review	review	NOUN
iajs-2527	26	7	of	of	ADP
iajs-2527	26	8	the	the	DET
iajs-2527	26	9	most	most	ADV
iajs-2527	26	10	recent	recent	ADJ
iajs-2527	26	11	face	face	NOUN
iajs-2527	26	12	recognition	recognition	NOUN
iajs-2527	26	13	techniques	technique	NOUN
iajs-2527	26	14	using	use	VERB
iajs-2527	26	15	de	de	ADJ
iajs-2527	26	16	-	-	ADJ
iajs-2527	26	17	noising	noising	ADJ
iajs-2527	26	18	filter	filter	NOUN
iajs-2527	26	19	and	and	CCONJ
iajs-2527	26	20	pca	pca	PROPN
iajs-2527	26	21	.	.	PUNCT
iajs-2527	27	1	the	the	DET
iajs-2527	27	2	paper	paper	NOUN
iajs-2527	27	3	is	be	AUX
iajs-2527	27	4	organized	organize	VERB
iajs-2527	27	5	as	as	SCONJ
iajs-2527	27	6	follows	follow	VERB
iajs-2527	27	7	:	:	PUNCT
iajs-2527	27	8	section	section	NOUN
iajs-2527	27	9	2	2	NUM
iajs-2527	27	10	reviews	review	VERB
iajs-2527	27	11	the	the	DET
iajs-2527	27	12	previous	previous	ADJ
iajs-2527	27	13	literature	literature	NOUN
iajs-2527	27	14	related	relate	VERB
iajs-2527	27	15	to	to	ADP
iajs-2527	27	16	this	this	DET
iajs-2527	27	17	work	work	NOUN
iajs-2527	27	18	.	.	PUNCT
iajs-2527	28	1	in	in	ADP
iajs-2527	28	2	sections	section	NOUN
iajs-2527	28	3	3	3	NUM
iajs-2527	28	4	and	and	CCONJ
iajs-2527	28	5	4	4	NUM
iajs-2527	28	6	,	,	PUNCT
iajs-2527	28	7	the	the	DET
iajs-2527	28	8	theoretical	theoretical	ADJ
iajs-2527	28	9	topics	topic	NOUN
iajs-2527	28	10	used	use	VERB
iajs-2527	28	11	in	in	ADP
iajs-2527	28	12	this	this	DET
iajs-2527	28	13	work	work	NOUN
iajs-2527	28	14	are	be	AUX
iajs-2527	28	15	presented	present	VERB
iajs-2527	28	16	.	.	PUNCT
iajs-2527	29	1	the	the	DET
iajs-2527	29	2	suggested	suggest	VERB
iajs-2527	29	3	face	face	NOUN
iajs-2527	29	4	recognition	recognition	NOUN
iajs-2527	29	5	method	method	NOUN
iajs-2527	29	6	based	base	VERB
iajs-2527	29	7	on	on	ADP
iajs-2527	29	8	de	de	ADJ
iajs-2527	29	9	-	-	ADJ
iajs-2527	29	10	noising	noising	ADJ
iajs-2527	29	11	filter	filter	NOUN
iajs-2527	29	12	and	and	CCONJ
iajs-2527	29	13	pca	pca	NOUN
iajs-2527	29	14	is	be	AUX
iajs-2527	29	15	described	describe	VERB
iajs-2527	29	16	in	in	ADP
iajs-2527	29	17	section	section	NOUN
iajs-2527	29	18	5	5	NUM
iajs-2527	29	19	describes	describe	VERB
iajs-2527	29	20	.	.	PUNCT
iajs-2527	30	1	in	in	ADP
iajs-2527	30	2	section	section	NOUN
iajs-2527	30	3	6	6	NUM
iajs-2527	30	4	,	,	PUNCT
iajs-2527	30	5	the	the	DET
iajs-2527	30	6	experimental	experimental	ADJ
iajs-2527	30	7	results	result	NOUN
iajs-2527	30	8	are	be	AUX
iajs-2527	30	9	presented	present	VERB
iajs-2527	30	10	.	.	PUNCT
iajs-2527	31	1	finally	finally	ADV
iajs-2527	31	2	,	,	PUNCT
iajs-2527	31	3	section	section	NOUN
iajs-2527	31	4	7	7	NUM
iajs-2527	31	5	presents	present	VERB
iajs-2527	31	6	the	the	DET
iajs-2527	31	7	conclusion	conclusion	NOUN
iajs-2527	31	8	.	.	PUNCT
iajs-2527	32	1	2	2	X
iajs-2527	32	2	.	.	NUM
iajs-2527	32	3	related	relate	VERB
iajs-2527	32	4	works	work	NOUN
iajs-2527	32	5	in	in	ADP
iajs-2527	32	6	[	[	X
iajs-2527	32	7	4	4	NUM
iajs-2527	32	8	]	]	PUNCT
iajs-2527	32	9	,	,	PUNCT
iajs-2527	32	10	the	the	DET
iajs-2527	32	11	author	author	NOUN
iajs-2527	32	12	presented	present	VERB
iajs-2527	32	13	a	a	DET
iajs-2527	32	14	face	face	NOUN
iajs-2527	32	15	recognition	recognition	NOUN
iajs-2527	32	16	method	method	NOUN
iajs-2527	32	17	based	base	VERB
iajs-2527	32	18	on	on	ADP
iajs-2527	32	19	binary	binary	ADJ
iajs-2527	32	20	rotation	rotation	NOUN
iajs-2527	32	21	invariant	invariant	ADJ
iajs-2527	32	22	and	and	CCONJ
iajs-2527	32	23	noise	noise	VERB
iajs-2527	32	24	tolerant	tolerant	ADJ
iajs-2527	32	25	euclidean	euclidean	NOUN
iajs-2527	32	26	(	(	PUNCT
iajs-2527	32	27	brine	brine	NOUN
iajs-2527	32	28	)	)	PUNCT
iajs-2527	32	29	descriptor	descriptor	NOUN
iajs-2527	32	30	.	.	PUNCT
iajs-2527	33	1	principal	principal	ADJ
iajs-2527	33	2	component	component	NOUN
iajs-2527	33	3	analysis	analysis	NOUN
iajs-2527	33	4	(	(	PUNCT
iajs-2527	33	5	pca	pca	NOUN
iajs-2527	33	6	)	)	PUNCT
iajs-2527	33	7	is	be	AUX
iajs-2527	33	8	used	use	VERB
iajs-2527	33	9	for	for	ADP
iajs-2527	33	10	reduction	reduction	NOUN
iajs-2527	33	11	of	of	ADP
iajs-2527	33	12	time	time	NOUN
iajs-2527	33	13	complexity	complexity	NOUN
iajs-2527	33	14	in	in	ADP
iajs-2527	33	15	image	image	NOUN
iajs-2527	33	16	on	on	ADP
iajs-2527	33	17	brine	brine	NOUN
iajs-2527	33	18	features	feature	NOUN
iajs-2527	33	19	.	.	PUNCT
iajs-2527	34	1	support	support	NOUN
iajs-2527	34	2	vector	vector	NOUN
iajs-2527	34	3	machine	machine	NOUN
iajs-2527	34	4	is	be	AUX
iajs-2527	34	5	used	use	VERB
iajs-2527	34	6	to	to	PART
iajs-2527	34	7	predict	predict	VERB
iajs-2527	34	8	the	the	DET
iajs-2527	34	9	input	input	NOUN
iajs-2527	34	10	face	face	NOUN
iajs-2527	34	11	.	.	PUNCT
iajs-2527	35	1	faces	face	VERB
iajs-2527	35	2	images	image	NOUN
iajs-2527	35	3	that	that	PRON
iajs-2527	35	4	contain	contain	VERB
iajs-2527	35	5	noise	noise	NOUN
iajs-2527	35	6	that	that	PRON
iajs-2527	35	7	adversely	adversely	ADV
iajs-2527	35	8	affect	affect	VERB
iajs-2527	35	9	the	the	DET
iajs-2527	35	10	accuracy	accuracy	NOUN
iajs-2527	35	11	of	of	ADP
iajs-2527	35	12	face	face	NOUN
iajs-2527	35	13	recognition	recognition	NOUN
iajs-2527	35	14	are	be	AUX
iajs-2527	35	15	a	a	DET
iajs-2527	35	16	major	major	ADJ
iajs-2527	35	17	challenge	challenge	NOUN
iajs-2527	35	18	.	.	PUNCT
iajs-2527	36	1	the	the	DET
iajs-2527	36	2	authors	author	NOUN
iajs-2527	36	3	in	in	ADP
iajs-2527	36	4	[	[	X
iajs-2527	36	5	5	5	NUM
iajs-2527	36	6	]	]	PUNCT
iajs-2527	36	7	suggested	suggest	VERB
iajs-2527	36	8	a	a	DET
iajs-2527	36	9	face	face	NOUN
iajs-2527	36	10	recognition	recognition	NOUN
iajs-2527	36	11	method	method	NOUN
iajs-2527	36	12	using	use	VERB
iajs-2527	36	13	a	a	DET
iajs-2527	36	14	deep	deep	ADJ
iajs-2527	36	15	neural	neural	ADJ
iajs-2527	36	16	network	network	NOUN
iajs-2527	36	17	to	to	PART
iajs-2527	36	18	distinguish	distinguish	VERB
iajs-2527	36	19	faces	face	NOUN
iajs-2527	36	20	under	under	ADP
iajs-2527	36	21	noise	noise	NOUN
iajs-2527	36	22	.	.	PUNCT
iajs-2527	37	1	they	they	PRON
iajs-2527	37	2	introduced	introduce	VERB
iajs-2527	37	3	a	a	DET
iajs-2527	37	4	multi	multi	ADJ
iajs-2527	37	5	-	-	ADJ
iajs-2527	37	6	input	input	ADJ
iajs-2527	37	7	structure	structure	NOUN
iajs-2527	37	8	in	in	ADP
iajs-2527	37	9	the	the	DET
iajs-2527	37	10	final	final	ADJ
iajs-2527	37	11	layer	layer	NOUN
iajs-2527	37	12	of	of	ADP
iajs-2527	37	13	the	the	DET
iajs-2527	37	14	proposed	propose	VERB
iajs-2527	37	15	network	network	NOUN
iajs-2527	37	16	to	to	PART
iajs-2527	37	17	extract	extract	VERB
iajs-2527	37	18	a	a	DET
iajs-2527	37	19	multi	multi	ADJ
iajs-2527	37	20	-	-	ADJ
iajs-2527	37	21	scaled	scaled	ADJ
iajs-2527	37	22	feature	feature	NOUN
iajs-2527	37	23	and	and	CCONJ
iajs-2527	37	24	more	more	ADV
iajs-2527	37	25	distinct	distinct	ADJ
iajs-2527	37	26	from	from	ADP
iajs-2527	37	27	the	the	DET
iajs-2527	37	28	input	input	NOUN
iajs-2527	37	29	image	image	NOUN
iajs-2527	37	30	.	.	PUNCT
iajs-2527	38	1	in	in	ADP
iajs-2527	38	2	[	[	X
iajs-2527	38	3	6	6	NUM
iajs-2527	38	4	]	]	PUNCT
iajs-2527	38	5	,	,	PUNCT
iajs-2527	38	6	the	the	DET
iajs-2527	38	7	authors	author	NOUN
iajs-2527	38	8	proposed	propose	VERB
iajs-2527	38	9	a	a	DET
iajs-2527	38	10	face	face	NOUN
iajs-2527	38	11	recognition	recognition	NOUN
iajs-2527	38	12	technique	technique	NOUN
iajs-2527	38	13	for	for	ADP
iajs-2527	38	14	noisy	noisy	ADJ
iajs-2527	38	15	images	image	NOUN
iajs-2527	38	16	based	base	VERB
iajs-2527	38	17	on	on	ADP
iajs-2527	38	18	pulse	pulse	NOUN
iajs-2527	38	19	coupled	couple	VERB
iajs-2527	38	20	neural	neural	ADJ
iajs-2527	38	21	networks	network	NOUN
iajs-2527	38	22	,	,	PUNCT
iajs-2527	38	23	principal	principal	ADJ
iajs-2527	38	24	component	component	NOUN
iajs-2527	38	25	analysis	analysis	NOUN
iajs-2527	38	26	,	,	PUNCT
iajs-2527	38	27	and	and	CCONJ
iajs-2527	38	28	support	support	VERB
iajs-2527	38	29	vector	vector	NOUN
iajs-2527	38	30	machine	machine	NOUN
iajs-2527	38	31	.	.	PUNCT
iajs-2527	39	1	for	for	ADP
iajs-2527	39	2	clustering	cluster	VERB
iajs-2527	39	3	the	the	DET
iajs-2527	39	4	characteristic	characteristic	ADJ
iajs-2527	39	5	area	area	NOUN
iajs-2527	39	6	of	of	ADP
iajs-2527	39	7	noisy	noisy	ADJ
iajs-2527	39	8	face	face	NOUN
iajs-2527	39	9	image	image	NOUN
iajs-2527	39	10	,	,	PUNCT
iajs-2527	39	11	pulse	pulse	NOUN
iajs-2527	39	12	coupled	couple	VERB
iajs-2527	39	13	neural	neural	ADJ
iajs-2527	39	14	network	network	NOUN
iajs-2527	39	15	was	be	AUX
iajs-2527	39	16	used	use	VERB
iajs-2527	39	17	.	.	PUNCT
iajs-2527	40	1	then	then	ADV
iajs-2527	40	2	principal	principal	ADJ
iajs-2527	40	3	component	component	NOUN
iajs-2527	40	4	analysis	analysis	NOUN
iajs-2527	40	5	was	be	AUX
iajs-2527	40	6	used	use	VERB
iajs-2527	40	7	for	for	ADP
iajs-2527	40	8	feature	feature	NOUN
iajs-2527	40	9	extraction	extraction	NOUN
iajs-2527	40	10	.	.	PUNCT
iajs-2527	41	1	finally	finally	ADV
iajs-2527	41	2	,	,	PUNCT
iajs-2527	41	3	support	support	NOUN
iajs-2527	41	4	vector	vector	NOUN
iajs-2527	41	5	machine	machine	NOUN
iajs-2527	41	6	was	be	AUX
iajs-2527	41	7	applied	apply	VERB
iajs-2527	41	8	for	for	ADP
iajs-2527	41	9	human	human	ADJ
iajs-2527	41	10	face	face	NOUN
iajs-2527	41	11	classification	classification	NOUN
iajs-2527	41	12	and	and	CCONJ
iajs-2527	41	13	recognition	recognition	NOUN
iajs-2527	41	14	.	.	PUNCT
iajs-2527	42	1	the	the	DET
iajs-2527	42	2	author	author	NOUN
iajs-2527	42	3	in	in	ADP
iajs-2527	42	4	[	[	X
iajs-2527	42	5	7	7	NUM
iajs-2527	42	6	]	]	PUNCT
iajs-2527	42	7	suggested	suggest	VERB
iajs-2527	42	8	a	a	DET
iajs-2527	42	9	method	method	NOUN
iajs-2527	42	10	to	to	PART
iajs-2527	42	11	reduce	reduce	VERB
iajs-2527	42	12	the	the	DET
iajs-2527	42	13	noise	noise	NOUN
iajs-2527	42	14	of	of	ADP
iajs-2527	42	15	the	the	DET
iajs-2527	42	16	image	image	NOUN
iajs-2527	42	17	before	before	ADP
iajs-2527	42	18	the	the	DET
iajs-2527	42	19	face	face	NOUN
iajs-2527	42	20	recognition	recognition	NOUN
iajs-2527	42	21	process	process	NOUN
iajs-2527	42	22	.	.	PUNCT
iajs-2527	43	1	pca	pca	PROPN
iajs-2527	43	2	was	be	AUX
iajs-2527	43	3	applied	apply	VERB
iajs-2527	43	4	to	to	PART
iajs-2527	43	5	extract	extract	VERB
iajs-2527	43	6	two	two	NUM
iajs-2527	43	7	sub	sub	NOUN
iajs-2527	43	8	-	-	NOUN
iajs-2527	43	9	images	image	NOUN
iajs-2527	43	10	,	,	PUNCT
iajs-2527	43	11	one	one	NUM
iajs-2527	43	12	with	with	ADP
iajs-2527	43	13	intensity	intensity	NOUN
iajs-2527	43	14	variance	variance	NOUN
iajs-2527	43	15	with	with	ADP
iajs-2527	43	16	fewer	few	ADJ
iajs-2527	43	17	features	feature	NOUN
iajs-2527	43	18	and	and	CCONJ
iajs-2527	43	19	the	the	DET
iajs-2527	43	20	other	other	ADJ
iajs-2527	43	21	with	with	ADP
iajs-2527	43	22	higher	high	ADJ
iajs-2527	43	23	intensity	intensity	NOUN
iajs-2527	43	24	variance	variance	NOUN
iajs-2527	43	25	congaing	conga	VERB
iajs-2527	43	26	big	big	ADJ
iajs-2527	43	27	features	feature	NOUN
iajs-2527	43	28	.	.	PUNCT
iajs-2527	44	1	the	the	DET
iajs-2527	44	2	kernel	kernel	PROPN
iajs-2527	44	3	pca	pca	PROPN
iajs-2527	44	4	was	be	AUX
iajs-2527	44	5	applied	apply	VERB
iajs-2527	44	6	on	on	ADP
iajs-2527	44	7	the	the	DET
iajs-2527	44	8	first	first	ADJ
iajs-2527	44	9	sub	sub	NOUN
iajs-2527	44	10	-	-	NOUN
iajs-2527	44	11	image	image	NOUN
iajs-2527	44	12	to	to	PART
iajs-2527	44	13	reproduce	reproduce	VERB
iajs-2527	44	14	the	the	DET
iajs-2527	44	15	image	image	NOUN
iajs-2527	44	16	details	detail	NOUN
iajs-2527	44	17	and	and	CCONJ
iajs-2527	44	18	a	a	DET
iajs-2527	44	19	denoising	denoise	VERB
iajs-2527	44	20	filter	filter	NOUN
iajs-2527	44	21	was	be	AUX
iajs-2527	44	22	applied	apply	VERB
iajs-2527	44	23	to	to	ADP
iajs-2527	44	24	the	the	DET
iajs-2527	44	25	second	second	ADJ
iajs-2527	44	26	sub	sub	NOUN
iajs-2527	44	27	-	-	NOUN
iajs-2527	44	28	image	image	NOUN
iajs-2527	44	29	to	to	PART
iajs-2527	44	30	get	get	VERB
iajs-2527	44	31	a	a	DET
iajs-2527	44	32	noise	noise	NOUN
iajs-2527	44	33	-	-	PUNCT
iajs-2527	44	34	free	free	ADJ
iajs-2527	44	35	image	image	NOUN
iajs-2527	44	36	.	.	PUNCT
iajs-2527	45	1	the	the	DET
iajs-2527	45	2	resulted	resulted	ADJ
iajs-2527	45	3	image	image	NOUN
iajs-2527	45	4	was	be	AUX
iajs-2527	45	5	used	use	VERB
iajs-2527	45	6	in	in	ADP
iajs-2527	45	7	the	the	DET
iajs-2527	45	8	recognition	recognition	NOUN
iajs-2527	45	9	process	process	NOUN
iajs-2527	45	10	for	for	ADP
iajs-2527	45	11	better	well	ADJ
iajs-2527	45	12	performance	performance	NOUN
iajs-2527	45	13	.	.	PUNCT
iajs-2527	46	1	the	the	DET
iajs-2527	46	2	authors	author	NOUN
iajs-2527	46	3	in	in	ADP
iajs-2527	46	4	[	[	X
iajs-2527	46	5	8	8	NUM
iajs-2527	46	6	]	]	PUNCT
iajs-2527	46	7	proposed	propose	VERB
iajs-2527	46	8	a	a	DET
iajs-2527	46	9	face	face	NOUN
iajs-2527	46	10	recognition	recognition	NOUN
iajs-2527	46	11	system	system	NOUN
iajs-2527	46	12	by	by	ADP
iajs-2527	46	13	integrating	integrate	VERB
iajs-2527	46	14	neural	neural	ADJ
iajs-2527	46	15	network	network	NOUN
iajs-2527	46	16	,	,	PUNCT
iajs-2527	46	17	automatic	automatic	ADJ
iajs-2527	46	18	decoding	decoding	NOUN
iajs-2527	46	19	and	and	CCONJ
iajs-2527	46	20	noise	noise	NOUN
iajs-2527	46	21	reduction	reduction	NOUN
iajs-2527	46	22	.	.	PUNCT
iajs-2527	47	1	automatic	automatic	ADJ
iajs-2527	47	2	encryption	encryption	NOUN
iajs-2527	47	3	was	be	AUX
iajs-2527	47	4	used	use	VERB
iajs-2527	47	5	to	to	PART
iajs-2527	47	6	create	create	VERB
iajs-2527	47	7	a	a	DET
iajs-2527	47	8	neural	neural	ADJ
iajs-2527	47	9	network	network	NOUN
iajs-2527	47	10	that	that	PRON
iajs-2527	47	11	learns	learn	VERB
iajs-2527	47	12	the	the	DET
iajs-2527	47	13	identification	identification	NOUN
iajs-2527	47	14	function	function	NOUN
iajs-2527	47	15	by	by	ADP
iajs-2527	47	16	setting	set	VERB
iajs-2527	47	17	restrictions	restriction	NOUN
iajs-2527	47	18	to	to	PART
iajs-2527	47	19	learn	learn	VERB
iajs-2527	47	20	accurate	accurate	ADJ
iajs-2527	47	21	input	input	NOUN
iajs-2527	47	22	representations	representation	NOUN
iajs-2527	47	23	.	.	PUNCT
iajs-2527	47	24	      	      	SPACE
iajs-2527	48	1	150	150	NUM
iajs-2527	48	2	  	  	SPACE
iajs-2527	48	3	ibn	ibn	PROPN
iajs-2527	48	4	al	al	PROPN
iajs-2527	48	5	-	-	PUNCT
iajs-2527	48	6	haitham	haitham	PROPN
iajs-2527	48	7	jour	jour	X
iajs-2527	48	8	.	.	PROPN
iajs-2527	48	9	for	for	ADP
iajs-2527	48	10	pure	pure	ADJ
iajs-2527	48	11	&	&	CCONJ
iajs-2527	48	12	appl	appl	PROPN
iajs-2527	48	13	.	.	PUNCT
iajs-2527	49	1	sci	sci	PROPN
iajs-2527	49	2	.	.	PROPN
iajs-2527	50	1	33	33	NUM
iajs-2527	50	2	(	(	PUNCT
iajs-2527	50	3	4	4	NUM
iajs-2527	50	4	)	)	PUNCT
iajs-2527	50	5	2020	2020	NUM
iajs-2527	51	1	despite	despite	SCONJ
iajs-2527	51	2	the	the	DET
iajs-2527	51	3	good	good	ADJ
iajs-2527	51	4	results	result	NOUN
iajs-2527	51	5	of	of	ADP
iajs-2527	51	6	these	these	DET
iajs-2527	51	7	face	face	NOUN
iajs-2527	51	8	recognition	recognition	NOUN
iajs-2527	51	9	systems	system	NOUN
iajs-2527	51	10	as	as	SCONJ
iajs-2527	51	11	they	they	PRON
iajs-2527	51	12	have	have	AUX
iajs-2527	51	13	adapted	adapt	VERB
iajs-2527	51	14	under	under	ADP
iajs-2527	51	15	specific	specific	ADJ
iajs-2527	51	16	conditions	condition	NOUN
iajs-2527	51	17	in	in	ADP
iajs-2527	51	18	the	the	DET
iajs-2527	51	19	low	low	ADJ
iajs-2527	51	20	-	-	PUNCT
iajs-2527	51	21	density	density	NOUN
iajs-2527	51	22	of	of	ADP
iajs-2527	51	23	noise	noise	NOUN
iajs-2527	51	24	,	,	PUNCT
iajs-2527	51	25	they	they	PRON
iajs-2527	51	26	fail	fail	VERB
iajs-2527	51	27	and	and	CCONJ
iajs-2527	51	28	do	do	AUX
iajs-2527	51	29	not	not	PART
iajs-2527	51	30	produce	produce	VERB
iajs-2527	51	31	the	the	DET
iajs-2527	51	32	same	same	ADJ
iajs-2527	51	33	results	result	NOUN
iajs-2527	51	34	in	in	ADP
iajs-2527	51	35	different	different	ADJ
iajs-2527	51	36	circumstances	circumstance	NOUN
iajs-2527	51	37	.	.	PUNCT
iajs-2527	52	1	therefore	therefore	ADV
iajs-2527	52	2	,	,	PUNCT
iajs-2527	52	3	the	the	DET
iajs-2527	52	4	efficiency	efficiency	NOUN
iajs-2527	52	5	of	of	ADP
iajs-2527	52	6	the	the	DET
iajs-2527	52	7	face	face	NOUN
iajs-2527	52	8	recognition	recognition	NOUN
iajs-2527	52	9	system	system	NOUN
iajs-2527	52	10	depends	depend	VERB
iajs-2527	52	11	on	on	ADP
iajs-2527	52	12	its	its	PRON
iajs-2527	52	13	ability	ability	NOUN
iajs-2527	52	14	to	to	PART
iajs-2527	52	15	recognize	recognize	VERB
iajs-2527	52	16	faces	face	NOUN
iajs-2527	52	17	under	under	ADP
iajs-2527	52	18	changes	change	NOUN
iajs-2527	52	19	in	in	ADP
iajs-2527	52	20	the	the	DET
iajs-2527	52	21	face	face	NOUN
iajs-2527	52	22	image	image	NOUN
iajs-2527	52	23	due	due	ADP
iajs-2527	52	24	to	to	ADP
iajs-2527	52	25	exposure	exposure	NOUN
iajs-2527	52	26	to	to	ADP
iajs-2527	52	27	high	high	ADJ
iajs-2527	52	28	-	-	PUNCT
iajs-2527	52	29	density	density	NOUN
iajs-2527	52	30	noise	noise	NOUN
iajs-2527	52	31	.	.	PUNCT
iajs-2527	53	1	in	in	ADP
iajs-2527	53	2	order	order	NOUN
iajs-2527	53	3	to	to	PART
iajs-2527	53	4	perform	perform	VERB
iajs-2527	53	5	more	more	ADV
iajs-2527	53	6	robust	robust	ADJ
iajs-2527	53	7	face	face	NOUN
iajs-2527	53	8	recognition	recognition	NOUN
iajs-2527	53	9	under	under	ADP
iajs-2527	53	10	high	high	ADJ
iajs-2527	53	11	density	density	NOUN
iajs-2527	53	12	noise	noise	NOUN
iajs-2527	53	13	,	,	PUNCT
iajs-2527	53	14	the	the	DET
iajs-2527	53	15	appropriate	appropriate	ADJ
iajs-2527	53	16	de	de	ADJ
iajs-2527	53	17	-	-	ADJ
iajs-2527	53	18	noising	noising	ADJ
iajs-2527	53	19	filter	filter	NOUN
iajs-2527	53	20	is	be	AUX
iajs-2527	53	21	applied	apply	VERB
iajs-2527	53	22	as	as	ADP
iajs-2527	53	23	a	a	DET
iajs-2527	53	24	preprocessing	preprocessing	NOUN
iajs-2527	53	25	step	step	NOUN
iajs-2527	53	26	before	before	ADP
iajs-2527	53	27	face	face	NOUN
iajs-2527	53	28	recognition	recognition	NOUN
iajs-2527	53	29	process	process	NOUN
iajs-2527	53	30	.	.	PUNCT
iajs-2527	54	1	this	this	PRON
iajs-2527	54	2	will	will	AUX
iajs-2527	54	3	lead	lead	VERB
iajs-2527	54	4	to	to	ADP
iajs-2527	54	5	the	the	DET
iajs-2527	54	6	enhancement	enhancement	NOUN
iajs-2527	54	7	of	of	ADP
iajs-2527	54	8	the	the	DET
iajs-2527	54	9	performance	performance	NOUN
iajs-2527	54	10	of	of	ADP
iajs-2527	54	11	the	the	DET
iajs-2527	54	12	face	face	NOUN
iajs-2527	54	13	recognition	recognition	NOUN
iajs-2527	54	14	.	.	PUNCT
iajs-2527	55	1	the	the	DET
iajs-2527	55	2	steps	step	NOUN
iajs-2527	55	3	of	of	ADP
iajs-2527	55	4	the	the	DET
iajs-2527	55	5	face	face	NOUN
iajs-2527	55	6	recognition	recognition	NOUN
iajs-2527	55	7	process	process	NOUN
iajs-2527	55	8	based	base	VERB
iajs-2527	55	9	on	on	ADP
iajs-2527	55	10	de	de	ADJ
iajs-2527	55	11	-	-	ADJ
iajs-2527	55	12	noising	noising	ADJ
iajs-2527	55	13	technique	technique	NOUN
iajs-2527	55	14	and	and	CCONJ
iajs-2527	55	15	pca	pca	NOUN
iajs-2527	55	16	can	can	AUX
iajs-2527	55	17	be	be	AUX
iajs-2527	55	18	defined	define	VERB
iajs-2527	55	19	as	as	SCONJ
iajs-2527	55	20	follows	follow	VERB
iajs-2527	55	21	:	:	PUNCT
iajs-2527	55	22	(	(	PUNCT
iajs-2527	55	23	1	1	X
iajs-2527	55	24	)	)	PUNCT
iajs-2527	55	25	read	read	VERB
iajs-2527	55	26	the	the	DET
iajs-2527	55	27	corrupted	corrupted	ADJ
iajs-2527	55	28	face	face	NOUN
iajs-2527	55	29	image	image	NOUN
iajs-2527	55	30	(	(	PUNCT
iajs-2527	55	31	test	test	NOUN
iajs-2527	55	32	image	image	NOUN
iajs-2527	55	33	)	)	PUNCT
iajs-2527	55	34	.	.	PUNCT
iajs-2527	56	1	(	(	PUNCT
iajs-2527	56	2	2	2	X
iajs-2527	56	3	)	)	PUNCT
iajs-2527	56	4	image	image	NOUN
iajs-2527	56	5	de	de	X
iajs-2527	56	6	-	-	ADJ
iajs-2527	56	7	noising	noising	ADJ
iajs-2527	56	8	filter	filter	NOUN
iajs-2527	56	9	is	be	AUX
iajs-2527	56	10	applied	apply	VERB
iajs-2527	56	11	to	to	ADP
iajs-2527	56	12	the	the	DET
iajs-2527	56	13	corrupted	corrupted	ADJ
iajs-2527	56	14	image	image	NOUN
iajs-2527	56	15	.	.	PUNCT
iajs-2527	57	1	(	(	PUNCT
iajs-2527	57	2	3	3	X
iajs-2527	57	3	)	)	PUNCT
iajs-2527	57	4	face	face	NOUN
iajs-2527	57	5	recognition	recognition	NOUN
iajs-2527	57	6	is	be	AUX
iajs-2527	57	7	performed	perform	VERB
iajs-2527	57	8	using	use	VERB
iajs-2527	57	9	pca	pca	PROPN
iajs-2527	57	10	as	as	ADP
iajs-2527	57	11	a	a	DET
iajs-2527	57	12	feature	feature	NOUN
iajs-2527	57	13	extraction	extraction	NOUN
iajs-2527	57	14	.	.	PUNCT
iajs-2527	58	1	(	(	PUNCT
iajs-2527	58	2	4	4	X
iajs-2527	58	3	)	)	PUNCT
iajs-2527	58	4	compute	compute	VERB
iajs-2527	58	5	the	the	DET
iajs-2527	58	6	distance	distance	NOUN
iajs-2527	58	7	between	between	ADP
iajs-2527	58	8	the	the	DET
iajs-2527	58	9	feature	feature	NOUN
iajs-2527	58	10	vector	vector	NOUN
iajs-2527	58	11	of	of	ADP
iajs-2527	58	12	the	the	DET
iajs-2527	58	13	de	de	ADJ
iajs-2527	58	14	-	-	ADJ
iajs-2527	58	15	noised	noised	ADJ
iajs-2527	58	16	test	test	NOUN
iajs-2527	58	17	image	image	NOUN
iajs-2527	58	18	and	and	CCONJ
iajs-2527	58	19	feature	feature	NOUN
iajs-2527	58	20	vectors	vector	NOUN
iajs-2527	58	21	of	of	ADP
iajs-2527	58	22	the	the	DET
iajs-2527	58	23	training	training	NOUN
iajs-2527	58	24	images	image	NOUN
iajs-2527	58	25	.	.	PUNCT
iajs-2527	59	1	(	(	PUNCT
iajs-2527	59	2	5	5	NUM
iajs-2527	59	3	)	)	PUNCT
iajs-2527	59	4	finally	finally	ADV
iajs-2527	59	5	,	,	PUNCT
iajs-2527	59	6	retrieve	retrieve	VERB
iajs-2527	59	7	the	the	DET
iajs-2527	59	8	face	face	NOUN
iajs-2527	59	9	image	image	NOUN
iajs-2527	59	10	from	from	ADP
iajs-2527	59	11	the	the	DET
iajs-2527	59	12	training	training	NOUN
iajs-2527	59	13	database	database	NOUN
iajs-2527	59	14	that	that	PRON
iajs-2527	59	15	has	have	VERB
iajs-2527	59	16	a	a	DET
iajs-2527	59	17	minimum	minimum	ADJ
iajs-2527	59	18	distance	distance	NOUN
iajs-2527	59	19	to	to	PART
iajs-2527	59	20	test	test	NOUN
iajs-2527	59	21	image	image	NOUN
iajs-2527	59	22	.	.	PUNCT
iajs-2527	60	1	3	3	X
iajs-2527	60	2	.	.	X
iajs-2527	60	3	image	image	NOUN
iajs-2527	60	4	de	de	X
iajs-2527	60	5	-	-	ADJ
iajs-2527	60	6	noising	noising	ADJ
iajs-2527	60	7	filter	filter	NOUN
iajs-2527	60	8	digital	digital	ADJ
iajs-2527	60	9	image	image	NOUN
iajs-2527	60	10	is	be	AUX
iajs-2527	60	11	a	a	DET
iajs-2527	60	12	matrix	matrix	NOUN
iajs-2527	60	13	containing	contain	VERB
iajs-2527	60	14	grey	grey	ADJ
iajs-2527	60	15	-	-	PUNCT
iajs-2527	60	16	level	level	NOUN
iajs-2527	60	17	or	or	CCONJ
iajs-2527	60	18	color	color	NOUN
iajs-2527	60	19	pixel	pixel	NOUN
iajs-2527	60	20	intensities	intensity	NOUN
iajs-2527	60	21	.	.	PUNCT
iajs-2527	61	1	the	the	DET
iajs-2527	61	2	noise	noise	NOUN
iajs-2527	61	3	model	model	NOUN
iajs-2527	61	4	can	can	AUX
iajs-2527	61	5	be	be	AUX
iajs-2527	61	6	defined	define	VERB
iajs-2527	61	7	as	as	ADP
iajs-2527	61	8	:	:	PUNCT
iajs-2527	61	9	𝑓	𝑓	PRON
iajs-2527	61	10	𝑞	𝑞	X
iajs-2527	61	11	𝐼	𝐼	ADP
iajs-2527	61	12	𝑞	𝑞	X
iajs-2527	61	13	𝑛	𝑛	ADP
iajs-2527	61	14	𝑞	𝑞	X
iajs-2527	61	15	,	,	PUNCT
iajs-2527	61	16	(	(	PUNCT
iajs-2527	61	17	1	1	X
iajs-2527	61	18	)	)	PUNCT
iajs-2527	61	19	where	where	SCONJ
iajs-2527	61	20	𝐼	𝐼	PROPN
iajs-2527	61	21	𝑞	𝑞	PROPN
iajs-2527	61	22	is	be	AUX
iajs-2527	61	23	the	the	DET
iajs-2527	61	24	clean	clean	ADJ
iajs-2527	61	25	pixel	pixel	PROPN
iajs-2527	61	26	value	value	NOUN
iajs-2527	61	27	and	and	CCONJ
iajs-2527	61	28	𝑛	𝑛	DET
iajs-2527	61	29	𝑞	𝑞	NOUN
iajs-2527	61	30	is	be	AUX
iajs-2527	61	31	the	the	DET
iajs-2527	61	32	noisy	noisy	ADJ
iajs-2527	61	33	pixel	pixel	NOUN
iajs-2527	61	34	value	value	NOUN
iajs-2527	61	35	at	at	ADP
iajs-2527	61	36	location	location	NOUN
iajs-2527	61	37	𝑞.	𝑞.	ADJ
iajs-2527	61	38	in	in	ADP
iajs-2527	61	39	order	order	NOUN
iajs-2527	61	40	to	to	PART
iajs-2527	61	41	evaluate	evaluate	VERB
iajs-2527	61	42	the	the	DET
iajs-2527	61	43	performance	performance	NOUN
iajs-2527	61	44	of	of	ADP
iajs-2527	61	45	the	the	DET
iajs-2527	61	46	proposed	propose	VERB
iajs-2527	61	47	method	method	NOUN
iajs-2527	61	48	,	,	PUNCT
iajs-2527	61	49	this	this	DET
iajs-2527	61	50	section	section	NOUN
iajs-2527	61	51	provides	provide	VERB
iajs-2527	61	52	a	a	DET
iajs-2527	61	53	brief	brief	ADJ
iajs-2527	61	54	view	view	NOUN
iajs-2527	61	55	of	of	ADP
iajs-2527	61	56	the	the	DET
iajs-2527	61	57	most	most	ADV
iajs-2527	61	58	popular	popular	ADJ
iajs-2527	61	59	noise	noise	NOUN
iajs-2527	61	60	removal	removal	NOUN
iajs-2527	61	61	techniques	technique	NOUN
iajs-2527	61	62	which	which	PRON
iajs-2527	61	63	are	be	AUX
iajs-2527	61	64	median	median	ADJ
iajs-2527	61	65	filter	filter	NOUN
iajs-2527	61	66	,	,	PUNCT
iajs-2527	61	67	hybrid	hybrid	ADJ
iajs-2527	61	68	median	median	ADJ
iajs-2527	61	69	filter	filter	NOUN
iajs-2527	61	70	,	,	PUNCT
iajs-2527	61	71	adaptive	adaptive	ADJ
iajs-2527	61	72	median	median	ADJ
iajs-2527	61	73	filter	filter	NOUN
iajs-2527	61	74	,	,	PUNCT
iajs-2527	61	75	and	and	CCONJ
iajs-2527	61	76	adaptive	adaptive	ADJ
iajs-2527	61	77	weighted	weight	VERB
iajs-2527	61	78	mean	mean	ADJ
iajs-2527	61	79	filter	filter	NOUN
iajs-2527	61	80	.	.	PUNCT
iajs-2527	62	1	3.1.median	3.1.median	NUM
iajs-2527	62	2	filter	filter	NOUN
iajs-2527	62	3	median	median	ADJ
iajs-2527	62	4	filter	filter	NOUN
iajs-2527	62	5	(	(	PUNCT
iajs-2527	62	6	mf	mf	X
iajs-2527	62	7	)	)	PUNCT
iajs-2527	62	8	is	be	AUX
iajs-2527	62	9	the	the	DET
iajs-2527	62	10	basic	basic	ADJ
iajs-2527	62	11	and	and	CCONJ
iajs-2527	62	12	simplest	simple	ADJ
iajs-2527	62	13	filter	filter	NOUN
iajs-2527	62	14	to	to	PART
iajs-2527	62	15	remove	remove	VERB
iajs-2527	62	16	noise	noise	NOUN
iajs-2527	62	17	from	from	ADP
iajs-2527	62	18	a	a	DET
iajs-2527	62	19	noisy	noisy	ADJ
iajs-2527	62	20	image	image	NOUN
iajs-2527	62	21	.	.	PUNCT
iajs-2527	63	1	noisy	noisy	ADJ
iajs-2527	63	2	pixel	pixel	PROPN
iajs-2527	63	3	is	be	AUX
iajs-2527	63	4	replaced	replace	VERB
iajs-2527	63	5	by	by	ADP
iajs-2527	63	6	the	the	DET
iajs-2527	63	7	median	median	ADJ
iajs-2527	63	8	value	value	NOUN
iajs-2527	63	9	of	of	ADP
iajs-2527	63	10	an	an	DET
iajs-2527	63	11	arranged	arranged	ADJ
iajs-2527	63	12	sequence	sequence	NOUN
iajs-2527	63	13	of	of	ADP
iajs-2527	63	14	neighboring	neighboring	NOUN
iajs-2527	63	15	pixels	pixel	NOUN
iajs-2527	63	16	.	.	PUNCT
iajs-2527	64	1	the	the	DET
iajs-2527	64	2	number	number	NOUN
iajs-2527	64	3	of	of	ADP
iajs-2527	64	4	neighbors	neighbor	NOUN
iajs-2527	64	5	is	be	AUX
iajs-2527	64	6	determined	determine	VERB
iajs-2527	64	7	by	by	ADP
iajs-2527	64	8	the	the	DET
iajs-2527	64	9	size	size	NOUN
iajs-2527	64	10	of	of	ADP
iajs-2527	64	11	the	the	DET
iajs-2527	64	12	window	window	NOUN
iajs-2527	65	1	[	[	X
iajs-2527	65	2	9	9	NUM
iajs-2527	65	3	]	]	PUNCT
iajs-2527	65	4	.	.	PUNCT
iajs-2527	66	1	the	the	DET
iajs-2527	66	2	mf	mf	NOUN
iajs-2527	66	3	can	can	AUX
iajs-2527	66	4	be	be	AUX
iajs-2527	66	5	expressed	express	VERB
iajs-2527	66	6	mathematically	mathematically	ADV
iajs-2527	66	7	as	as	ADP
iajs-2527	66	8	in	in	ADP
iajs-2527	66	9	the	the	DET
iajs-2527	66	10	following	follow	VERB
iajs-2527	66	11	equations	equation	NOUN
iajs-2527	66	12	:	:	PUNCT
iajs-2527	66	13	𝑀𝐷	𝑀𝐷	PROPN
iajs-2527	66	14	𝑞	𝑞	PROPN
iajs-2527	66	15	𝑀𝑒𝑑𝑖𝑎𝑛	𝑀𝑒𝑑𝑖𝑎𝑛	PROPN
iajs-2527	66	16	𝑞𝑖	𝑞𝑖	PROPN
iajs-2527	66	17	(	(	PUNCT
iajs-2527	66	18	2	2	NUM
iajs-2527	66	19	)	)	PUNCT
iajs-2527	66	20	𝑀𝐷	𝑀𝐷	PROPN
iajs-2527	66	21	𝑞	𝑞	NOUN
iajs-2527	66	22	𝑞𝑖	𝑞𝑖	PRON
iajs-2527	66	23	𝑁	𝑁	PROPN
iajs-2527	66	24	1	1	NUM
iajs-2527	66	25	/2	/2	NUM
iajs-2527	66	26	,	,	PUNCT
iajs-2527	66	27	(	(	PUNCT
iajs-2527	66	28	3	3	X
iajs-2527	66	29	)	)	PUNCT
iajs-2527	66	30	when	when	SCONJ
iajs-2527	66	31	𝑁	𝑁	PROPN
iajs-2527	66	32	is	be	AUX
iajs-2527	66	33	odd	odd	ADJ
iajs-2527	66	34	𝑀𝐷	𝑀𝐷	PROPN
iajs-2527	66	35	𝑞	𝑞	PROPN
iajs-2527	66	36	½	½	NOUN
iajs-2527	66	37	𝑞𝑖	𝑞𝑖	ADP
iajs-2527	66	38	𝑁/2	𝑁/2	NOUN
iajs-2527	66	39	𝑞𝑖	𝑞𝑖	PRON
iajs-2527	66	40	𝑁/2	𝑁/2	NOUN
iajs-2527	66	41	,	,	PUNCT
iajs-2527	66	42	(	(	PUNCT
iajs-2527	66	43	4	4	X
iajs-2527	66	44	)	)	PUNCT
iajs-2527	66	45	when	when	SCONJ
iajs-2527	66	46	𝑁	𝑁	PROPN
iajs-2527	66	47	is	be	AUX
iajs-2527	66	48	even	even	ADV
iajs-2527	66	49	𝑞1	𝑞1	ADJ
iajs-2527	66	50	,	,	PUNCT
iajs-2527	66	51	𝑞2	𝑞2	NOUN
iajs-2527	66	52	,	,	PUNCT
iajs-2527	66	53	𝑞3	𝑞3	PROPN
iajs-2527	66	54	,	,	PUNCT
iajs-2527	66	55	…	…	PUNCT
iajs-2527	66	56	,	,	PUNCT
iajs-2527	66	57	𝑞𝑁	𝑞𝑁	PROPN
iajs-2527	66	58	is	be	AUX
iajs-2527	66	59	the	the	DET
iajs-2527	66	60	sorted	sorted	ADJ
iajs-2527	66	61	sequence	sequence	NOUN
iajs-2527	66	62	of	of	ADP
iajs-2527	66	63	neighbor	neighbor	NOUN
iajs-2527	66	64	pixels	pixel	NOUN
iajs-2527	66	65	3.2.hybrid	3.2.hybrid	NUM
iajs-2527	66	66	median	median	ADJ
iajs-2527	66	67	filter	filter	NOUN
iajs-2527	66	68	hybrid	hybrid	ADJ
iajs-2527	66	69	median	median	ADJ
iajs-2527	66	70	filter	filter	NOUN
iajs-2527	66	71	(	(	PUNCT
iajs-2527	66	72	hmf	hmf	PROPN
iajs-2527	66	73	)	)	PUNCT
iajs-2527	66	74	removes	remove	VERB
iajs-2527	66	75	the	the	DET
iajs-2527	66	76	noise	noise	NOUN
iajs-2527	66	77	with	with	ADP
iajs-2527	66	78	preserving	preserve	VERB
iajs-2527	66	79	edges	edge	NOUN
iajs-2527	66	80	.	.	PUNCT
iajs-2527	67	1	compared	compare	VERB
iajs-2527	67	2	with	with	ADP
iajs-2527	67	3	the	the	DET
iajs-2527	67	4	mf	mf	NOUN
iajs-2527	67	5	,	,	PUNCT
iajs-2527	67	6	the	the	DET
iajs-2527	67	7	hmf	hmf	NOUN
iajs-2527	67	8	has	have	VERB
iajs-2527	67	9	a	a	DET
iajs-2527	67	10	better	well	ADJ
iajs-2527	67	11	property	property	NOUN
iajs-2527	67	12	to	to	PART
iajs-2527	67	13	maintain	maintain	VERB
iajs-2527	67	14	corner	corner	NOUN
iajs-2527	67	15	characteristics	characteristic	NOUN
iajs-2527	67	16	.	.	PUNCT
iajs-2527	68	1	the	the	DET
iajs-2527	68	2	hmf	hmf	PROPN
iajs-2527	68	3	can	can	AUX
iajs-2527	68	4	be	be	AUX
iajs-2527	68	5	defined	define	VERB
iajs-2527	68	6	as	as	ADP
iajs-2527	68	7	:	:	PUNCT
iajs-2527	68	8	𝐻𝑀𝐹	𝐻𝑀𝐹	PROPN
iajs-2527	68	9	𝑞	𝑞	X
iajs-2527	68	10	𝑀𝑒𝑑𝑖𝑎𝑛	𝑀𝑒𝑑𝑖𝑎𝑛	PROPN
iajs-2527	68	11	𝑓	𝑓	PROPN
iajs-2527	68	12	𝑞	𝑞	PROPN
iajs-2527	68	13	,	,	PUNCT
iajs-2527	68	14	𝑞	𝑞	X
iajs-2527	68	15	∈	∈	PROPN
iajs-2527	68	16	𝑁	𝑁	PROPN
iajs-2527	68	17	4	4	NUM
iajs-2527	68	18	𝑞	𝑞	NOUN
iajs-2527	68	19	,	,	PUNCT
iajs-2527	68	20	𝑀𝑒𝑑𝑖𝑎𝑛	𝑀𝑒𝑑𝑖𝑎𝑛	PROPN
iajs-2527	68	21	𝑓	𝑓	PROPN
iajs-2527	68	22	𝑞	𝑞	PROPN
iajs-2527	68	23	,	,	PUNCT
iajs-2527	68	24	𝑞	𝑞	PROPN
iajs-2527	68	25	∈	∈	PROPN
iajs-2527	68	26	𝐶𝑟𝑜𝑠𝑠𝑁	𝐶𝑟𝑜𝑠𝑠𝑁	PROPN
iajs-2527	68	27	4	4	NUM
iajs-2527	68	28	𝑞	𝑞	PROPN
iajs-2527	68	29	,	,	PUNCT
iajs-2527	68	30	𝑓	𝑓	PRON
iajs-2527	68	31	𝑞	𝑞	X
iajs-2527	68	32	.	.	PUNCT
iajs-2527	69	1	(	(	PUNCT
iajs-2527	69	2	5	5	NUM
iajs-2527	69	3	)	)	PUNCT
iajs-2527	69	4	      	      	SPACE
iajs-2527	69	5	151	151	NUM
iajs-2527	69	6	  	  	SPACE
iajs-2527	69	7	ibn	ibn	PROPN
iajs-2527	69	8	al	al	PROPN
iajs-2527	69	9	-	-	PUNCT
iajs-2527	69	10	haitham	haitham	PROPN
iajs-2527	69	11	jour	jour	X
iajs-2527	69	12	.	.	PROPN
iajs-2527	69	13	for	for	ADP
iajs-2527	69	14	pure	pure	ADJ
iajs-2527	69	15	&	&	CCONJ
iajs-2527	69	16	appl	appl	PROPN
iajs-2527	69	17	.	.	PUNCT
iajs-2527	70	1	sci	sci	PROPN
iajs-2527	70	2	.	.	PROPN
iajs-2527	71	1	33	33	NUM
iajs-2527	71	2	(	(	PUNCT
iajs-2527	71	3	4	4	NUM
iajs-2527	71	4	)	)	PUNCT
iajs-2527	71	5	2020	2020	NUM
iajs-2527	71	6	in	in	ADP
iajs-2527	71	7	hmf	hmf	PROPN
iajs-2527	72	1	,	,	PUNCT
iajs-2527	72	2	𝑞	𝑞	PROPN
iajs-2527	72	3	is	be	AUX
iajs-2527	72	4	the	the	DET
iajs-2527	72	5	point	point	NOUN
iajs-2527	72	6	of	of	ADP
iajs-2527	72	7	the	the	DET
iajs-2527	72	8	pixel	pixel	PROPN
iajs-2527	72	9	value	value	NOUN
iajs-2527	72	10	which	which	PRON
iajs-2527	72	11	can	can	AUX
iajs-2527	72	12	be	be	AUX
iajs-2527	72	13	replaced	replace	VERB
iajs-2527	72	14	with	with	ADP
iajs-2527	72	15	:	:	PUNCT
iajs-2527	72	16	(	(	PUNCT
iajs-2527	72	17	1	1	X
iajs-2527	72	18	)	)	PUNCT
iajs-2527	72	19	the	the	DET
iajs-2527	72	20	median	median	NOUN
iajs-2527	72	21	of	of	ADP
iajs-2527	72	22	the	the	DET
iajs-2527	72	23	median	median	NOUN
iajs-2527	72	24	of	of	ADP
iajs-2527	72	25	four	four	NUM
iajs-2527	72	26	-	-	PUNCT
iajs-2527	72	27	neighborhood	neighborhood	NOUN
iajs-2527	72	28	of	of	ADP
iajs-2527	72	29	the	the	DET
iajs-2527	72	30	point	point	NOUN
iajs-2527	72	31	𝑞	𝑞	X
iajs-2527	72	32	,	,	PUNCT
iajs-2527	72	33	(	(	PUNCT
iajs-2527	72	34	2	2	X
iajs-2527	72	35	)	)	PUNCT
iajs-2527	72	36	the	the	DET
iajs-2527	72	37	median	median	NOUN
iajs-2527	72	38	of	of	ADP
iajs-2527	72	39	cross	cross	NOUN
iajs-2527	72	40	neighbors	neighbor	NOUN
iajs-2527	72	41	of	of	ADP
iajs-2527	72	42	the	the	DET
iajs-2527	72	43	point	point	NOUN
iajs-2527	72	44	𝑞	𝑞	X
iajs-2527	72	45	,	,	PUNCT
iajs-2527	72	46	(	(	PUNCT
iajs-2527	72	47	3	3	X
iajs-2527	72	48	)	)	PUNCT
iajs-2527	72	49	the	the	DET
iajs-2527	72	50	pixel	pixel	PROPN
iajs-2527	72	51	value	value	NOUN
iajs-2527	72	52	of	of	ADP
iajs-2527	72	53	the	the	DET
iajs-2527	72	54	point	point	NOUN
iajs-2527	72	55	𝑞	𝑞	X
iajs-2527	72	56	[	[	X
iajs-2527	72	57	10	10	NUM
iajs-2527	72	58	]	]	PUNCT
iajs-2527	72	59	.	.	PUNCT
iajs-2527	73	1	3.3.adaptive	3.3.adaptive	NUM
iajs-2527	73	2	median	median	ADJ
iajs-2527	73	3	filter	filter	NOUN
iajs-2527	73	4	adaptive	adaptive	ADJ
iajs-2527	73	5	median	median	ADJ
iajs-2527	73	6	filter	filter	NOUN
iajs-2527	73	7	(	(	PUNCT
iajs-2527	73	8	amf	amf	PROPN
iajs-2527	73	9	)	)	PUNCT
iajs-2527	73	10	is	be	AUX
iajs-2527	73	11	widely	widely	ADV
iajs-2527	73	12	used	use	VERB
iajs-2527	73	13	in	in	ADP
iajs-2527	73	14	many	many	ADJ
iajs-2527	73	15	applications	application	NOUN
iajs-2527	73	16	.	.	PUNCT
iajs-2527	74	1	the	the	DET
iajs-2527	74	2	work	work	NOUN
iajs-2527	74	3	of	of	ADP
iajs-2527	74	4	this	this	DET
iajs-2527	74	5	filter	filter	NOUN
iajs-2527	74	6	is	be	AUX
iajs-2527	74	7	similar	similar	ADJ
iajs-2527	74	8	to	to	ADP
iajs-2527	74	9	the	the	DET
iajs-2527	74	10	work	work	NOUN
iajs-2527	74	11	of	of	ADP
iajs-2527	74	12	mf	mf	NOUN
iajs-2527	74	13	filter	filter	NOUN
iajs-2527	74	14	,	,	PUNCT
iajs-2527	74	15	but	but	CCONJ
iajs-2527	74	16	it	it	PRON
iajs-2527	74	17	has	have	VERB
iajs-2527	74	18	a	a	DET
iajs-2527	74	19	number	number	NOUN
iajs-2527	74	20	of	of	ADP
iajs-2527	74	21	several	several	ADJ
iajs-2527	74	22	features	feature	NOUN
iajs-2527	74	23	:	:	PUNCT
iajs-2527	74	24	(	(	PUNCT
iajs-2527	74	25	1	1	X
iajs-2527	74	26	)	)	PUNCT
iajs-2527	74	27	pixels	pixel	NOUN
iajs-2527	74	28	are	be	AUX
iajs-2527	74	29	separated	separate	VERB
iajs-2527	74	30	into	into	ADP
iajs-2527	74	31	clean	clean	ADJ
iajs-2527	74	32	and	and	CCONJ
iajs-2527	74	33	noisy	noisy	ADJ
iajs-2527	74	34	pixels	pixel	NOUN
iajs-2527	74	35	.	.	PUNCT
iajs-2527	75	1	(	(	PUNCT
iajs-2527	75	2	2	2	X
iajs-2527	75	3	)	)	PUNCT
iajs-2527	75	4	it	it	PRON
iajs-2527	75	5	uses	use	VERB
iajs-2527	75	6	a	a	DET
iajs-2527	75	7	dynamic	dynamic	ADJ
iajs-2527	75	8	size	size	NOUN
iajs-2527	75	9	window	window	NOUN
iajs-2527	75	10	whose	whose	DET
iajs-2527	75	11	size	size	NOUN
iajs-2527	75	12	changes	change	VERB
iajs-2527	75	13	according	accord	VERB
iajs-2527	75	14	to	to	ADP
iajs-2527	75	15	the	the	DET
iajs-2527	75	16	amount	amount	NOUN
iajs-2527	75	17	of	of	ADP
iajs-2527	75	18	noise	noise	NOUN
iajs-2527	75	19	.	.	PUNCT
iajs-2527	76	1	(	(	PUNCT
iajs-2527	76	2	3	3	X
iajs-2527	76	3	)	)	PUNCT
iajs-2527	76	4	this	this	DET
iajs-2527	76	5	filter	filter	NOUN
iajs-2527	76	6	works	work	VERB
iajs-2527	76	7	well	well	ADV
iajs-2527	76	8	for	for	ADP
iajs-2527	76	9	the	the	DET
iajs-2527	76	10	images	image	NOUN
iajs-2527	76	11	subjected	subject	VERB
iajs-2527	76	12	to	to	ADP
iajs-2527	76	13	low	low	ADJ
iajs-2527	76	14	-	-	PUNCT
iajs-2527	76	15	intensity	intensity	NOUN
iajs-2527	76	16	noise	noise	NOUN
iajs-2527	76	17	as	as	ADV
iajs-2527	76	18	well	well	ADV
iajs-2527	76	19	as	as	ADP
iajs-2527	76	20	for	for	ADP
iajs-2527	76	21	the	the	DET
iajs-2527	76	22	images	image	NOUN
iajs-2527	76	23	subjected	subject	VERB
iajs-2527	76	24	high	high	ADJ
iajs-2527	76	25	-	-	PUNCT
iajs-2527	76	26	intensity	intensity	NOUN
iajs-2527	76	27	noise	noise	NOUN
iajs-2527	76	28	[	[	X
iajs-2527	76	29	11	11	NUM
iajs-2527	76	30	]	]	PUNCT
iajs-2527	76	31	.	.	PUNCT
iajs-2527	77	1	3.4.adaptive	3.4.adaptive	NUM
iajs-2527	77	2	weighted	weight	VERB
iajs-2527	77	3	mean	mean	ADJ
iajs-2527	77	4	filter	filter	NOUN
iajs-2527	77	5	adaptive	adaptive	NOUN
iajs-2527	77	6	weighted	weight	VERB
iajs-2527	77	7	mean	mean	NOUN
iajs-2527	77	8	filter	filter	NOUN
iajs-2527	77	9	(	(	PUNCT
iajs-2527	77	10	awmf	awmf	ADV
iajs-2527	77	11	)	)	PUNCT
iajs-2527	77	12	removes	remove	VERB
iajs-2527	77	13	high	high	ADJ
iajs-2527	77	14	-	-	PUNCT
iajs-2527	77	15	intensity	intensity	NOUN
iajs-2527	77	16	noise	noise	NOUN
iajs-2527	77	17	from	from	ADP
iajs-2527	77	18	noisy	noisy	ADJ
iajs-2527	77	19	images	image	NOUN
iajs-2527	77	20	.	.	PUNCT
iajs-2527	78	1	this	this	DET
iajs-2527	78	2	filter	filter	NOUN
iajs-2527	78	3	expands	expand	VERB
iajs-2527	78	4	the	the	DET
iajs-2527	78	5	window	window	NOUN
iajs-2527	78	6	size	size	NOUN
iajs-2527	78	7	until	until	SCONJ
iajs-2527	78	8	the	the	DET
iajs-2527	78	9	minimum	minimum	ADJ
iajs-2527	78	10	and	and	CCONJ
iajs-2527	78	11	maximum	maximum	ADJ
iajs-2527	78	12	values	value	NOUN
iajs-2527	78	13	for	for	ADP
iajs-2527	78	14	two	two	NUM
iajs-2527	78	15	consecutive	consecutive	ADJ
iajs-2527	78	16	windows	window	NOUN
iajs-2527	78	17	are	be	AUX
iajs-2527	78	18	equal	equal	ADJ
iajs-2527	78	19	.	.	PUNCT
iajs-2527	79	1	the	the	DET
iajs-2527	79	2	pixel	pixel	NOUN
iajs-2527	79	3	is	be	AUX
iajs-2527	79	4	considered	consider	VERB
iajs-2527	79	5	noisy	noisy	ADJ
iajs-2527	79	6	pixel	pixel	NOUN
iajs-2527	79	7	if	if	SCONJ
iajs-2527	79	8	it	it	PRON
iajs-2527	79	9	is	be	AUX
iajs-2527	79	10	equal	equal	ADJ
iajs-2527	79	11	to	to	ADP
iajs-2527	79	12	the	the	DET
iajs-2527	79	13	maximum	maximum	ADJ
iajs-2527	79	14	or	or	CCONJ
iajs-2527	79	15	minimum	minimum	ADJ
iajs-2527	79	16	values	value	NOUN
iajs-2527	79	17	,	,	PUNCT
iajs-2527	79	18	otherwise	otherwise	ADV
iajs-2527	79	19	it	it	PRON
iajs-2527	79	20	is	be	AUX
iajs-2527	79	21	considered	consider	VERB
iajs-2527	79	22	clean	clean	ADJ
iajs-2527	79	23	pixel	pixel	X
iajs-2527	79	24	.	.	PUNCT
iajs-2527	80	1	noisy	noisy	ADJ
iajs-2527	80	2	pixel	pixel	PROPN
iajs-2527	80	3	is	be	AUX
iajs-2527	80	4	replaced	replace	VERB
iajs-2527	80	5	by	by	ADP
iajs-2527	80	6	the	the	DET
iajs-2527	80	7	weighted	weight	VERB
iajs-2527	80	8	mean	mean	NOUN
iajs-2527	80	9	of	of	ADP
iajs-2527	80	10	the	the	DET
iajs-2527	80	11	current	current	ADJ
iajs-2527	80	12	window	window	NOUN
iajs-2527	80	13	.	.	PUNCT
iajs-2527	81	1	the	the	DET
iajs-2527	81	2	clean	clean	ADJ
iajs-2527	81	3	pixels	pixel	NOUN
iajs-2527	81	4	remain	remain	VERB
iajs-2527	81	5	unchanged	unchanged	ADJ
iajs-2527	81	6	[	[	X
iajs-2527	81	7	12	12	NUM
iajs-2527	81	8	]	]	PUNCT
iajs-2527	81	9	.	.	PUNCT
iajs-2527	82	1	4	4	X
iajs-2527	82	2	.	.	NOUN
iajs-2527	82	3	face	face	NOUN
iajs-2527	82	4	recognition	recognition	NOUN
iajs-2527	82	5	based	base	VERB
iajs-2527	82	6	on	on	ADP
iajs-2527	82	7	principal	principal	ADJ
iajs-2527	82	8	component	component	NOUN
iajs-2527	82	9	analysis	analysis	NOUN
iajs-2527	82	10	feature	feature	NOUN
iajs-2527	82	11	extraction	extraction	NOUN
iajs-2527	82	12	process	process	NOUN
iajs-2527	82	13	is	be	AUX
iajs-2527	82	14	a	a	DET
iajs-2527	82	15	very	very	ADV
iajs-2527	82	16	important	important	ADJ
iajs-2527	82	17	step	step	NOUN
iajs-2527	82	18	,	,	PUNCT
iajs-2527	82	19	as	as	SCONJ
iajs-2527	82	20	it	it	PRON
iajs-2527	82	21	extracts	extract	VERB
iajs-2527	82	22	data	datum	NOUN
iajs-2527	82	23	from	from	ADP
iajs-2527	82	24	an	an	DET
iajs-2527	82	25	image	image	NOUN
iajs-2527	82	26	that	that	PRON
iajs-2527	82	27	is	be	AUX
iajs-2527	82	28	close	close	ADJ
iajs-2527	82	29	to	to	ADP
iajs-2527	82	30	the	the	DET
iajs-2527	82	31	original	original	ADJ
iajs-2527	82	32	image	image	NOUN
iajs-2527	82	33	[	[	X
iajs-2527	82	34	13	13	NUM
iajs-2527	82	35	]	]	PUNCT
iajs-2527	82	36	.	.	PUNCT
iajs-2527	83	1	this	this	PRON
iajs-2527	83	2	will	will	AUX
iajs-2527	83	3	facilitate	facilitate	VERB
iajs-2527	83	4	the	the	DET
iajs-2527	83	5	process	process	NOUN
iajs-2527	83	6	of	of	ADP
iajs-2527	83	7	discovering	discover	VERB
iajs-2527	83	8	interesting	interesting	ADJ
iajs-2527	83	9	patterns	pattern	NOUN
iajs-2527	83	10	.	.	PUNCT
iajs-2527	84	1	there	there	PRON
iajs-2527	84	2	are	be	VERB
iajs-2527	84	3	two	two	NUM
iajs-2527	84	4	methods	method	NOUN
iajs-2527	84	5	of	of	ADP
iajs-2527	84	6	extracting	extract	VERB
iajs-2527	84	7	features	feature	NOUN
iajs-2527	84	8	:	:	PUNCT
iajs-2527	84	9	the	the	DET
iajs-2527	84	10	first	first	ADJ
iajs-2527	84	11	method	method	NOUN
iajs-2527	84	12	is	be	AUX
iajs-2527	84	13	called	call	VERB
iajs-2527	84	14	holistic	holistic	ADJ
iajs-2527	84	15	feature	feature	NOUN
iajs-2527	84	16	extraction	extraction	NOUN
iajs-2527	84	17	in	in	ADP
iajs-2527	84	18	which	which	PRON
iajs-2527	84	19	the	the	DET
iajs-2527	84	20	feature	feature	NOUN
iajs-2527	84	21	is	be	AUX
iajs-2527	84	22	extracted	extract	VERB
iajs-2527	84	23	from	from	ADP
iajs-2527	84	24	the	the	DET
iajs-2527	84	25	global	global	ADJ
iajs-2527	84	26	image	image	NOUN
iajs-2527	84	27	and	and	CCONJ
iajs-2527	84	28	will	will	AUX
iajs-2527	84	29	be	be	AUX
iajs-2527	84	30	as	as	ADP
iajs-2527	84	31	an	an	DET
iajs-2527	84	32	entry	entry	NOUN
iajs-2527	84	33	to	to	ADP
iajs-2527	84	34	the	the	DET
iajs-2527	84	35	recognizing	recognizing	NOUN
iajs-2527	84	36	or	or	CCONJ
iajs-2527	84	37	matching	matching	NOUN
iajs-2527	84	38	step	step	NOUN
iajs-2527	84	39	.	.	PUNCT
iajs-2527	85	1	the	the	DET
iajs-2527	85	2	second	second	ADJ
iajs-2527	85	3	method	method	NOUN
iajs-2527	85	4	is	be	AUX
iajs-2527	85	5	called	call	VERB
iajs-2527	85	6	a	a	DET
iajs-2527	85	7	local	local	ADJ
iajs-2527	85	8	feature	feature	NOUN
iajs-2527	85	9	extraction	extraction	NOUN
iajs-2527	85	10	,	,	PUNCT
iajs-2527	85	11	the	the	DET
iajs-2527	85	12	feature	feature	NOUN
iajs-2527	85	13	like	like	ADP
iajs-2527	85	14	eye	eye	NOUN
iajs-2527	85	15	,	,	PUNCT
iajs-2527	85	16	nose	nose	NOUN
iajs-2527	85	17	,	,	PUNCT
iajs-2527	85	18	mouth	mouth	NOUN
iajs-2527	85	19	,	,	PUNCT
iajs-2527	85	20	etc	etc	X
iajs-2527	85	21	.	.	X
iajs-2527	86	1	these	these	DET
iajs-2527	86	2	local	local	ADJ
iajs-2527	86	3	features	feature	NOUN
iajs-2527	86	4	will	will	AUX
iajs-2527	86	5	be	be	AUX
iajs-2527	86	6	as	as	ADP
iajs-2527	86	7	an	an	DET
iajs-2527	86	8	entry	entry	NOUN
iajs-2527	86	9	to	to	ADP
iajs-2527	86	10	the	the	DET
iajs-2527	86	11	recognizing	recognizing	NOUN
iajs-2527	86	12	or	or	CCONJ
iajs-2527	86	13	matching	matching	NOUN
iajs-2527	86	14	step	step	NOUN
iajs-2527	86	15	.	.	PUNCT
iajs-2527	87	1	principal	principal	ADJ
iajs-2527	87	2	component	component	NOUN
iajs-2527	87	3	analysis	analysis	NOUN
iajs-2527	87	4	(	(	PUNCT
iajs-2527	87	5	pca	pca	NOUN
iajs-2527	87	6	)	)	PUNCT
iajs-2527	87	7	is	be	AUX
iajs-2527	87	8	one	one	NUM
iajs-2527	87	9	of	of	ADP
iajs-2527	87	10	the	the	DET
iajs-2527	87	11	methods	method	NOUN
iajs-2527	87	12	to	to	PART
iajs-2527	87	13	extract	extract	VERB
iajs-2527	87	14	the	the	DET
iajs-2527	87	15	holistic	holistic	ADJ
iajs-2527	87	16	feature	feature	NOUN
iajs-2527	87	17	from	from	ADP
iajs-2527	87	18	the	the	DET
iajs-2527	87	19	image	image	NOUN
iajs-2527	87	20	[	[	X
iajs-2527	87	21	14	14	NUM
iajs-2527	87	22	-	-	SYM
iajs-2527	87	23	19	19	NUM
iajs-2527	87	24	]	]	PUNCT
iajs-2527	87	25	.	.	PUNCT
iajs-2527	88	1	the	the	DET
iajs-2527	88	2	pca	pca	PROPN
iajs-2527	88	3	algorithm	algorithm	NOUN
iajs-2527	88	4	is	be	AUX
iajs-2527	88	5	used	use	VERB
iajs-2527	88	6	in	in	ADP
iajs-2527	88	7	the	the	DET
iajs-2527	88	8	extraction	extraction	NOUN
iajs-2527	88	9	of	of	ADP
iajs-2527	88	10	features	feature	NOUN
iajs-2527	88	11	in	in	ADP
iajs-2527	88	12	many	many	ADJ
iajs-2527	88	13	applications	application	NOUN
iajs-2527	88	14	such	such	ADJ
iajs-2527	88	15	as	as	ADP
iajs-2527	88	16	pattern	pattern	NOUN
iajs-2527	88	17	recognition	recognition	NOUN
iajs-2527	88	18	,	,	PUNCT
iajs-2527	88	19	machine	machine	NOUN
iajs-2527	88	20	learning	learning	NOUN
iajs-2527	88	21	,	,	PUNCT
iajs-2527	88	22	image	image	NOUN
iajs-2527	88	23	retrieval	retrieval	NOUN
iajs-2527	88	24	,	,	PUNCT
iajs-2527	88	25	face	face	NOUN
iajs-2527	88	26	recognition	recognition	NOUN
iajs-2527	88	27	and	and	CCONJ
iajs-2527	88	28	others	other	NOUN
iajs-2527	89	1	[	[	X
iajs-2527	89	2	20	20	NUM
iajs-2527	89	3	]	]	PUNCT
iajs-2527	89	4	.	.	PUNCT
iajs-2527	90	1	a	a	DET
iajs-2527	90	2	comprehensive	comprehensive	ADJ
iajs-2527	90	3	review	review	NOUN
iajs-2527	90	4	of	of	ADP
iajs-2527	90	5	pca	pca	PROPN
iajs-2527	90	6	can	can	AUX
iajs-2527	90	7	be	be	AUX
iajs-2527	90	8	found	find	VERB
iajs-2527	90	9	in	in	ADP
iajs-2527	90	10	[	[	X
iajs-2527	90	11	21	21	NUM
iajs-2527	90	12	,	,	PUNCT
iajs-2527	90	13	22	22	NUM
iajs-2527	90	14	]	]	PUNCT
iajs-2527	90	15	.	.	PUNCT
iajs-2527	91	1	the	the	DET
iajs-2527	91	2	pca	pca	PROPN
iajs-2527	91	3	algorithm	algorithm	NOUN
iajs-2527	91	4	is	be	AUX
iajs-2527	91	5	used	use	VERB
iajs-2527	91	6	for	for	ADP
iajs-2527	91	7	face	face	NOUN
iajs-2527	91	8	recognition	recognition	NOUN
iajs-2527	91	9	by	by	ADP
iajs-2527	91	10	extracting	extract	VERB
iajs-2527	91	11	the	the	DET
iajs-2527	91	12	principal	principal	ADJ
iajs-2527	91	13	components	component	NOUN
iajs-2527	91	14	to	to	PART
iajs-2527	91	15	express	express	VERB
iajs-2527	91	16	the	the	DET
iajs-2527	91	17	image	image	NOUN
iajs-2527	91	18	of	of	ADP
iajs-2527	91	19	human	human	ADJ
iajs-2527	91	20	face	face	NOUN
iajs-2527	91	21	and	and	CCONJ
iajs-2527	91	22	to	to	PART
iajs-2527	91	23	reduce	reduce	VERB
iajs-2527	91	24	the	the	DET
iajs-2527	91	25	dimension	dimension	NOUN
iajs-2527	91	26	of	of	ADP
iajs-2527	91	27	the	the	DET
iajs-2527	91	28	face	face	NOUN
iajs-2527	91	29	image	image	NOUN
iajs-2527	91	30	to	to	PART
iajs-2527	91	31	obtain	obtain	VERB
iajs-2527	91	32	a	a	DET
iajs-2527	91	33	low	low	ADJ
iajs-2527	91	34	dimension	dimension	NOUN
iajs-2527	91	35	of	of	ADP
iajs-2527	91	36	the	the	DET
iajs-2527	91	37	space	space	NOUN
iajs-2527	91	38	.	.	PUNCT
iajs-2527	92	1	in	in	ADP
iajs-2527	92	2	general	general	ADJ
iajs-2527	92	3	,	,	PUNCT
iajs-2527	92	4	pca	pca	NOUN
iajs-2527	92	5	algorithm	algorithm	NOUN
iajs-2527	92	6	extracts	extract	VERB
iajs-2527	92	7	the	the	DET
iajs-2527	92	8	global	global	ADJ
iajs-2527	92	9	and	and	CCONJ
iajs-2527	92	10	low	low	ADJ
iajs-2527	92	11	dimensional	dimensional	ADJ
iajs-2527	92	12	features	feature	NOUN
iajs-2527	92	13	[	[	X
iajs-2527	92	14	23	23	NUM
iajs-2527	92	15	]	]	PUNCT
iajs-2527	92	16	.	.	PUNCT
iajs-2527	93	1	the	the	DET
iajs-2527	93	2	algorithm	algorithm	NOUN
iajs-2527	93	3	of	of	ADP
iajs-2527	93	4	the	the	DET
iajs-2527	93	5	face	face	NOUN
iajs-2527	93	6	recognition	recognition	NOUN
iajs-2527	93	7	using	use	VERB
iajs-2527	93	8	pca	pca	PROPN
iajs-2527	93	9	can	can	AUX
iajs-2527	93	10	be	be	AUX
iajs-2527	93	11	found	find	VERB
iajs-2527	93	12	in	in	ADP
iajs-2527	93	13	[	[	X
iajs-2527	93	14	2426	2426	NUM
iajs-2527	93	15	]	]	SYM
iajs-2527	93	16	.	.	PUNCT
iajs-2527	94	1	5	5	X
iajs-2527	94	2	.	.	X
iajs-2527	94	3	de	de	ADJ
iajs-2527	94	4	-	-	ADJ
iajs-2527	94	5	noising	noising	ADJ
iajs-2527	94	6	filter	filter	NOUN
iajs-2527	94	7	and	and	CCONJ
iajs-2527	94	8	pca	pca	NOUN
iajs-2527	94	9	based	base	VERB
iajs-2527	94	10	face	face	NOUN
iajs-2527	94	11	recognition	recognition	NOUN
iajs-2527	94	12	in	in	ADP
iajs-2527	94	13	order	order	NOUN
iajs-2527	94	14	to	to	PART
iajs-2527	94	15	enhance	enhance	VERB
iajs-2527	94	16	human	human	ADJ
iajs-2527	94	17	face	face	NOUN
iajs-2527	94	18	recognition	recognition	NOUN
iajs-2527	94	19	under	under	ADP
iajs-2527	94	20	high	high	ADJ
iajs-2527	94	21	density	density	NOUN
iajs-2527	94	22	-	-	PUNCT
iajs-2527	94	23	noise	noise	NOUN
iajs-2527	94	24	,	,	PUNCT
iajs-2527	94	25	the	the	DET
iajs-2527	94	26	de	de	ADJ
iajs-2527	94	27	-	-	ADJ
iajs-2527	94	28	noising	noising	ADJ
iajs-2527	94	29	filter	filter	NOUN
iajs-2527	94	30	can	can	AUX
iajs-2527	94	31	be	be	AUX
iajs-2527	94	32	used	use	VERB
iajs-2527	94	33	to	to	PART
iajs-2527	94	34	remove	remove	VERB
iajs-2527	94	35	the	the	DET
iajs-2527	94	36	noise	noise	NOUN
iajs-2527	94	37	from	from	ADP
iajs-2527	94	38	the	the	DET
iajs-2527	94	39	corrupted	corrupted	ADJ
iajs-2527	94	40	images	image	NOUN
iajs-2527	94	41	and	and	CCONJ
iajs-2527	94	42	then	then	ADV
iajs-2527	94	43	the	the	DET
iajs-2527	94	44	feature	feature	NOUN
iajs-2527	94	45	extraction	extraction	NOUN
iajs-2527	94	46	is	be	AUX
iajs-2527	94	47	performed	perform	VERB
iajs-2527	94	48	by	by	ADP
iajs-2527	94	49	using	use	VERB
iajs-2527	94	50	pca	pca	PROPN
iajs-2527	94	51	.	.	PUNCT
iajs-2527	95	1	the	the	DET
iajs-2527	95	2	pca	pca	PROPN
iajs-2527	95	3	is	be	AUX
iajs-2527	95	4	used	use	VERB
iajs-2527	95	5	in	in	ADP
iajs-2527	95	6	this	this	DET
iajs-2527	95	7	work	work	NOUN
iajs-2527	95	8	because	because	SCONJ
iajs-2527	95	9	it	it	PRON
iajs-2527	95	10	is	be	AUX
iajs-2527	95	11	used	use	VERB
iajs-2527	95	12	for	for	ADP
iajs-2527	95	13	dimensionality	dimensionality	NOUN
iajs-2527	95	14	reduction	reduction	NOUN
iajs-2527	95	15	and	and	CCONJ
iajs-2527	95	16	it	it	PRON
iajs-2527	95	17	is	be	AUX
iajs-2527	95	18	one	one	NUM
iajs-2527	95	19	of	of	ADP
iajs-2527	95	20	the	the	DET
iajs-2527	95	21	possible	possible	ADJ
iajs-2527	95	22	solutions	solution	NOUN
iajs-2527	95	23	to	to	PART
iajs-2527	95	24	solve	solve	VERB
iajs-2527	95	25	the	the	DET
iajs-2527	95	26	problem	problem	NOUN
iajs-2527	95	27	of	of	ADP
iajs-2527	95	28	noisy	noisy	ADJ
iajs-2527	95	29	data	datum	NOUN
iajs-2527	96	1	[	[	X
iajs-2527	96	2	27	27	NUM
iajs-2527	96	3	,	,	PUNCT
iajs-2527	96	4	28	28	NUM
iajs-2527	96	5	]	]	PUNCT
iajs-2527	96	6	.	.	PUNCT
iajs-2527	97	1	the	the	DET
iajs-2527	97	2	operations	operation	NOUN
iajs-2527	97	3	of	of	ADP
iajs-2527	97	4	the	the	DET
iajs-2527	97	5	suggested	suggest	VERB
iajs-2527	97	6	face	face	NOUN
iajs-2527	97	7	recognition	recognition	NOUN
iajs-2527	97	8	process	process	NOUN
iajs-2527	97	9	can	can	AUX
iajs-2527	97	10	be	be	AUX
iajs-2527	97	11	illustrated	illustrate	VERB
iajs-2527	97	12	briefly	briefly	ADV
iajs-2527	97	13	as	as	SCONJ
iajs-2527	97	14	follows	follow	VERB
iajs-2527	97	15	:	:	PUNCT
iajs-2527	97	16	1	1	X
iajs-2527	97	17	.	.	X
iajs-2527	97	18	load	load	NOUN
iajs-2527	97	19	m	m	PROPN
iajs-2527	97	20	training	training	NOUN
iajs-2527	97	21	images	image	NOUN
iajs-2527	97	22	.	.	PUNCT
iajs-2527	98	1	each	each	DET
iajs-2527	98	2	image	image	NOUN
iajs-2527	98	3	has	have	VERB
iajs-2527	98	4	a	a	DET
iajs-2527	98	5	size	size	NOUN
iajs-2527	98	6	of	of	ADP
iajs-2527	98	7	𝑁	𝑁	PROPN
iajs-2527	98	8	𝑁	𝑁	PROPN
iajs-2527	98	9	pixels	pixel	NOUN
iajs-2527	98	10	2	2	NUM
iajs-2527	98	11	.	.	PUNCT
iajs-2527	98	12	convert	convert	VERB
iajs-2527	98	13	each	each	DET
iajs-2527	98	14	2d	2d	NUM
iajs-2527	98	15	image	image	NOUN
iajs-2527	98	16	into	into	ADP
iajs-2527	98	17	1	1	NUM
iajs-2527	98	18	d	d	PROPN
iajs-2527	98	19	vector	vector	NOUN
iajs-2527	98	20	γ	γ	X
iajs-2527	98	21	,	,	PUNCT
iajs-2527	98	22	γ	γ	X
iajs-2527	98	23	,	,	PUNCT
iajs-2527	98	24	…	…	PUNCT
iajs-2527	98	25	,	,	PUNCT
iajs-2527	98	26	γ	γ	X
iajs-2527	98	27	3	3	NUM
iajs-2527	98	28	.	.	PUNCT
iajs-2527	98	29	compute	compute	VERB
iajs-2527	98	30	the	the	DET
iajs-2527	98	31	average	average	NOUN
iajs-2527	98	32	of	of	ADP
iajs-2527	98	33	image	image	NOUN
iajs-2527	98	34	vectors	vector	NOUN
iajs-2527	98	35	by	by	ADP
iajs-2527	98	36	𝜓	𝜓	PROPN
iajs-2527	98	37	∑	∑	PUNCT
iajs-2527	98	38	γ	γ	X
iajs-2527	98	39	4	4	NUM
iajs-2527	98	40	.	.	PUNCT
iajs-2527	99	1	find	find	VERB
iajs-2527	99	2	the	the	DET
iajs-2527	99	3	difference	difference	NOUN
iajs-2527	99	4	between	between	ADP
iajs-2527	99	5	each	each	DET
iajs-2527	99	6	image	image	NOUN
iajs-2527	99	7	and	and	CCONJ
iajs-2527	99	8	the	the	DET
iajs-2527	99	9	average	average	ADJ
iajs-2527	99	10	image	image	NOUN
iajs-2527	99	11	by	by	ADP
iajs-2527	99	12	φ	φ	PROPN
iajs-2527	99	13	γ	γ	PROPN
iajs-2527	99	14	𝜓	𝜓	PROPN
iajs-2527	99	15	5	5	NUM
iajs-2527	99	16	.	.	PUNCT
iajs-2527	99	17	compute	compute	VERB
iajs-2527	99	18	the	the	DET
iajs-2527	99	19	covariance	covariance	NOUN
iajs-2527	99	20	matrix	matrix	NOUN
iajs-2527	99	21	(	(	PUNCT
iajs-2527	99	22	c	c	NOUN
iajs-2527	99	23	)	)	PUNCT
iajs-2527	99	24	to	to	PART
iajs-2527	99	25	find	find	VERB
iajs-2527	99	26	the	the	DET
iajs-2527	99	27	feature	feature	NOUN
iajs-2527	99	28	vectors	vector	NOUN
iajs-2527	99	29	by	by	ADP
iajs-2527	99	30	      	      	SPACE
iajs-2527	99	31	152	152	NUM
iajs-2527	99	32	  	  	SPACE
iajs-2527	99	33	ibn	ibn	PROPN
iajs-2527	99	34	al	al	PROPN
iajs-2527	99	35	-	-	PUNCT
iajs-2527	99	36	haitham	haitham	PROPN
iajs-2527	99	37	jour	jour	X
iajs-2527	99	38	.	.	PROPN
iajs-2527	99	39	for	for	ADP
iajs-2527	99	40	pure	pure	ADJ
iajs-2527	99	41	&	&	CCONJ
iajs-2527	99	42	appl	appl	PROPN
iajs-2527	99	43	.	.	PUNCT
iajs-2527	100	1	sci	sci	PROPN
iajs-2527	100	2	.	.	PROPN
iajs-2527	101	1	33	33	NUM
iajs-2527	101	2	(	(	PUNCT
iajs-2527	101	3	4	4	NUM
iajs-2527	101	4	)	)	PUNCT
iajs-2527	101	5	2020	2020	NUM
iajs-2527	102	1	𝐶	𝐶	PROPN
iajs-2527	102	2	∑	∑	PROPN
iajs-2527	102	3	φ	φ	PROPN
iajs-2527	102	4	φ	φ	PROPN
iajs-2527	102	5	=	=	PROPN
iajs-2527	102	6	𝐴𝐴	𝐴𝐴	PROPN
iajs-2527	102	7	,	,	PUNCT
iajs-2527	102	8	where	where	SCONJ
iajs-2527	102	9	a=	a=	PROPN
iajs-2527	102	10	{	{	PUNCT
iajs-2527	102	11	φ	φ	PROPN
iajs-2527	102	12	,	,	PUNCT
iajs-2527	102	13	φ	φ	PROPN
iajs-2527	102	14	,	,	PUNCT
iajs-2527	102	15	…	…	PUNCT
iajs-2527	102	16	,	,	PUNCT
iajs-2527	102	17	φ	φ	PROPN
iajs-2527	102	18	}	}	PUNCT
iajs-2527	102	19	,	,	PUNCT
iajs-2527	102	20	c	c	PROPN
iajs-2527	102	21	is	be	AUX
iajs-2527	102	22	a	a	DET
iajs-2527	102	23	matrix	matrix	NOUN
iajs-2527	102	24	with	with	ADP
iajs-2527	102	25	size	size	NOUN
iajs-2527	102	26	𝑁	𝑁	PROPN
iajs-2527	102	27	𝑁	𝑁	PROPN
iajs-2527	102	28	pixels	pixel	NOUN
iajs-2527	102	29	.	.	PUNCT
iajs-2527	103	1	6	6	NUM
iajs-2527	103	2	.	.	X
iajs-2527	103	3	from	from	ADP
iajs-2527	103	4	c	c	PROPN
iajs-2527	103	5	,	,	PUNCT
iajs-2527	103	6	find	find	VERB
iajs-2527	103	7	𝑀	𝑀	PROPN
iajs-2527	103	8	eigenvectors	eigenvector	NOUN
iajs-2527	103	9	of	of	ADP
iajs-2527	103	10	size	size	NOUN
iajs-2527	103	11	𝑁	𝑁	PROPN
iajs-2527	103	12	pixels	pixel	NOUN
iajs-2527	103	13	with	with	ADP
iajs-2527	103	14	the	the	DET
iajs-2527	103	15	highest	high	ADJ
iajs-2527	103	16	eigenvalues	eigenvalue	NOUN
iajs-2527	103	17	,	,	PUNCT
iajs-2527	103	18	which	which	PRON
iajs-2527	103	19	are	be	AUX
iajs-2527	103	20	called	call	VERB
iajs-2527	103	21	feature	feature	NOUN
iajs-2527	103	22	vectors	vector	NOUN
iajs-2527	103	23	or	or	CCONJ
iajs-2527	103	24	feature	feature	NOUN
iajs-2527	103	25	space	space	NOUN
iajs-2527	103	26	of	of	ADP
iajs-2527	103	27	the	the	DET
iajs-2527	103	28	training	training	NOUN
iajs-2527	103	29	images	image	NOUN
iajs-2527	103	30	.	.	PUNCT
iajs-2527	104	1	w=	w=	X
iajs-2527	105	1	[	[	X
iajs-2527	105	2	w1	w1	NOUN
iajs-2527	105	3	…	…	SYM
iajs-2527	105	4	w2	w2	NOUN
iajs-2527	105	5	]	]	PUNCT
iajs-2527	105	6	is	be	AUX
iajs-2527	105	7	assumed	assume	VERB
iajs-2527	105	8	as	as	ADP
iajs-2527	105	9	a	a	DET
iajs-2527	105	10	vector	vector	NOUN
iajs-2527	105	11	of	of	ADP
iajs-2527	105	12	points	point	NOUN
iajs-2527	105	13	in	in	ADP
iajs-2527	105	14	feature	feature	NOUN
iajs-2527	105	15	space	space	NOUN
iajs-2527	105	16	associated	associate	VERB
iajs-2527	105	17	with	with	ADP
iajs-2527	105	18	each	each	DET
iajs-2527	105	19	face	face	NOUN
iajs-2527	105	20	image	image	NOUN
iajs-2527	105	21	in	in	ADP
iajs-2527	105	22	training	training	NOUN
iajs-2527	105	23	set	set	NOUN
iajs-2527	105	24	.	.	PUNCT
iajs-2527	106	1	7	7	X
iajs-2527	106	2	.	.	X
iajs-2527	106	3	read	read	VERB
iajs-2527	106	4	the	the	DET
iajs-2527	106	5	corrupted	corrupted	ADJ
iajs-2527	106	6	image	image	NOUN
iajs-2527	106	7	𝐼	𝐼	ADP
iajs-2527	106	8	by	by	ADP
iajs-2527	106	9	noise	noise	NOUN
iajs-2527	106	10	.	.	PUNCT
iajs-2527	107	1	8	8	X
iajs-2527	107	2	.	.	X
iajs-2527	107	3	apply	apply	VERB
iajs-2527	107	4	the	the	DET
iajs-2527	107	5	de	de	ADJ
iajs-2527	107	6	-	-	ADJ
iajs-2527	107	7	noising	noising	ADJ
iajs-2527	107	8	filter	filter	NOUN
iajs-2527	107	9	on	on	ADP
iajs-2527	107	10	the	the	DET
iajs-2527	107	11	noisy	noisy	ADJ
iajs-2527	107	12	𝐼	𝐼	PROPN
iajs-2527	107	13	to	to	PART
iajs-2527	107	14	remove	remove	VERB
iajs-2527	107	15	noise	noise	NOUN
iajs-2527	107	16	from	from	ADP
iajs-2527	107	17	the	the	DET
iajs-2527	107	18	image	image	NOUN
iajs-2527	107	19	.	.	PUNCT
iajs-2527	108	1	the	the	DET
iajs-2527	108	2	result	result	NOUN
iajs-2527	108	3	is	be	AUX
iajs-2527	108	4	𝐼	𝐼	ADP
iajs-2527	108	5	image	image	NOUN
iajs-2527	108	6	.	.	PUNCT
iajs-2527	109	1	9	9	X
iajs-2527	109	2	.	.	X
iajs-2527	109	3	from	from	ADP
iajs-2527	109	4	the	the	DET
iajs-2527	109	5	de	de	ADJ
iajs-2527	109	6	-	-	ADJ
iajs-2527	109	7	noised	noised	ADJ
iajs-2527	109	8	image	image	NOUN
iajs-2527	109	9	(	(	PUNCT
iajs-2527	109	10	𝐼	𝐼	PROPN
iajs-2527	109	11	)	)	PUNCT
iajs-2527	109	12	,	,	PUNCT
iajs-2527	109	13	obtain	obtain	VERB
iajs-2527	109	14	feature	feature	NOUN
iajs-2527	109	15	space	space	NOUN
iajs-2527	109	16	or	or	CCONJ
iajs-2527	109	17	feature	feature	NOUN
iajs-2527	109	18	vectors	vector	NOUN
iajs-2527	109	19	by	by	ADP
iajs-2527	109	20	computing	compute	VERB
iajs-2527	109	21	the	the	DET
iajs-2527	109	22	point	point	NOUN
iajs-2527	109	23	𝑊	𝑊	NOUN
iajs-2527	109	24	using	use	VERB
iajs-2527	109	25	the	the	DET
iajs-2527	109	26	above	above	ADJ
iajs-2527	109	27	formulas	formula	NOUN
iajs-2527	109	28	.	.	PUNCT
iajs-2527	110	1	10	10	NUM
iajs-2527	110	2	.	.	X
iajs-2527	110	3	compute	compute	VERB
iajs-2527	110	4	the	the	DET
iajs-2527	110	5	distance	distance	NOUN
iajs-2527	110	6	between	between	ADP
iajs-2527	110	7	feature	feature	NOUN
iajs-2527	110	8	vector	vector	NOUN
iajs-2527	110	9	of	of	ADP
iajs-2527	110	10	the	the	DET
iajs-2527	110	11	test	test	NOUN
iajs-2527	110	12	image	image	NOUN
iajs-2527	110	13	and	and	CCONJ
iajs-2527	110	14	feature	feature	NOUN
iajs-2527	110	15	vectors	vector	NOUN
iajs-2527	110	16	of	of	ADP
iajs-2527	110	17	the	the	DET
iajs-2527	110	18	training	training	NOUN
iajs-2527	110	19	images	image	NOUN
iajs-2527	110	20	.	.	PUNCT
iajs-2527	111	1	𝐷𝑖𝑠	𝐷𝑖𝑠	NOUN
iajs-2527	111	2	𝑚𝑖𝑛‖𝑊	𝑚𝑖𝑛‖𝑊	NOUN
iajs-2527	112	1	𝑊	𝑊	NOUN
iajs-2527	112	2	‖	‖	PROPN
iajs-2527	112	3	,	,	PUNCT
iajs-2527	112	4	where	where	SCONJ
iajs-2527	112	5	𝑊	𝑊	PROPN
iajs-2527	112	6	is	be	AUX
iajs-2527	112	7	a	a	DET
iajs-2527	112	8	point	point	NOUN
iajs-2527	112	9	in	in	ADP
iajs-2527	112	10	feature	feature	NOUN
iajs-2527	112	11	space	space	NOUN
iajs-2527	112	12	of	of	ADP
iajs-2527	112	13	training	training	NOUN
iajs-2527	112	14	images	image	NOUN
iajs-2527	112	15	.	.	PUNCT
iajs-2527	112	16	 	 	SPACE
iajs-2527	113	1	euclidean	euclidean	ADJ
iajs-2527	113	2	distance	distance	NOUN
iajs-2527	113	3	can	can	AUX
iajs-2527	113	4	be	be	AUX
iajs-2527	113	5	used	use	VERB
iajs-2527	113	6	to	to	PART
iajs-2527	113	7	find	find	VERB
iajs-2527	113	8	the	the	DET
iajs-2527	113	9	distance	distance	NOUN
iajs-2527	113	10	.	.	PUNCT
iajs-2527	114	1	11	11	NUM
iajs-2527	114	2	.	.	PUNCT
iajs-2527	115	1	show	show	VERB
iajs-2527	115	2	the	the	DET
iajs-2527	115	3	face	face	NOUN
iajs-2527	115	4	image	image	NOUN
iajs-2527	115	5	from	from	ADP
iajs-2527	115	6	the	the	DET
iajs-2527	115	7	training	training	NOUN
iajs-2527	115	8	dataset	dataset	NOUN
iajs-2527	115	9	that	that	PRON
iajs-2527	115	10	has	have	VERB
iajs-2527	115	11	a	a	DET
iajs-2527	115	12	minimum	minimum	ADJ
iajs-2527	115	13	distance	distance	NOUN
iajs-2527	115	14	with	with	ADP
iajs-2527	115	15	the	the	DET
iajs-2527	115	16	test	test	NOUN
iajs-2527	115	17	image	image	NOUN
iajs-2527	115	18	.	.	PUNCT
iajs-2527	116	1	figure	figure	NOUN
iajs-2527	116	2	1	1	NUM
iajs-2527	116	3	illustrates	illustrate	VERB
iajs-2527	116	4	the	the	DET
iajs-2527	116	5	flowchart	flowchart	NOUN
iajs-2527	116	6	of	of	ADP
iajs-2527	116	7	the	the	DET
iajs-2527	116	8	face	face	NOUN
iajs-2527	116	9	recognition	recognition	NOUN
iajs-2527	116	10	method	method	NOUN
iajs-2527	116	11	based	base	VERB
iajs-2527	116	12	on	on	ADP
iajs-2527	116	13	de	de	ADJ
iajs-2527	116	14	-	-	ADJ
iajs-2527	116	15	noising	noising	ADJ
iajs-2527	116	16	filter	filter	NOUN
iajs-2527	116	17	and	and	CCONJ
iajs-2527	116	18	pca	pca	PROPN
iajs-2527	116	19	.	.	PUNCT
iajs-2527	117	1	figure1	figure1	PROPN
iajs-2527	117	2	.	.	PUNCT
iajs-2527	118	1	block	block	NOUN
iajs-2527	118	2	diagram	diagram	NOUN
iajs-2527	118	3	of	of	ADP
iajs-2527	118	4	the	the	DET
iajs-2527	118	5	face	face	NOUN
iajs-2527	118	6	recognition	recognition	NOUN
iajs-2527	118	7	based	base	VERB
iajs-2527	118	8	on	on	ADP
iajs-2527	118	9	de	de	ADJ
iajs-2527	118	10	-	-	ADJ
iajs-2527	118	11	noising	noising	ADJ
iajs-2527	118	12	filter	filter	NOUN
iajs-2527	118	13	and	and	CCONJ
iajs-2527	118	14	pca	pca	PROPN
iajs-2527	118	15	.	.	PROPN
iajs-2527	119	1	6	6	NUM
iajs-2527	119	2	.	.	X
iajs-2527	119	3	experiment	experiment	NOUN
iajs-2527	119	4	results	result	VERB
iajs-2527	119	5	the	the	DET
iajs-2527	119	6	performance	performance	NOUN
iajs-2527	119	7	of	of	ADP
iajs-2527	119	8	the	the	DET
iajs-2527	119	9	combination	combination	NOUN
iajs-2527	119	10	of	of	ADP
iajs-2527	119	11	de	de	ADJ
iajs-2527	119	12	-	-	ADJ
iajs-2527	119	13	noising	noising	ADJ
iajs-2527	119	14	filter	filter	NOUN
iajs-2527	119	15	and	and	CCONJ
iajs-2527	119	16	pca	pca	NOUN
iajs-2527	119	17	algorithm	algorithm	NOUN
iajs-2527	119	18	for	for	ADP
iajs-2527	119	19	the	the	DET
iajs-2527	119	20	face	face	NOUN
iajs-2527	119	21	recognition	recognition	NOUN
iajs-2527	119	22	have	have	AUX
iajs-2527	119	23	been	be	AUX
iajs-2527	119	24	tested	test	VERB
iajs-2527	119	25	on	on	ADP
iajs-2527	119	26	a	a	DET
iajs-2527	119	27	free	free	ADJ
iajs-2527	119	28	database	database	NOUN
iajs-2527	119	29	(	(	PUNCT
iajs-2527	119	30	facial	facial	ADJ
iajs-2527	119	31	image	image	NOUN
iajs-2527	119	32	database	database	NOUN
iajs-2527	119	33	)	)	PUNCT
iajs-2527	119	34	which	which	PRON
iajs-2527	119	35	was	be	AUX
iajs-2527	119	36	used	use	VERB
iajs-2527	119	37	for	for	ADP
iajs-2527	119	38	research	research	NOUN
iajs-2527	119	39	purposes	purpose	NOUN
iajs-2527	119	40	and	and	CCONJ
iajs-2527	119	41	presented	present	VERB
iajs-2527	119	42	at	at	ADP
iajs-2527	119	43	the	the	DET
iajs-2527	119	44	site	site	NOUN
iajs-2527	119	45	of	of	ADP
iajs-2527	119	46	essex	essex	PROPN
iajs-2527	119	47	university	university	PROPN
iajs-2527	119	48	(	(	PUNCT
iajs-2527	119	49	https://cswww.essex.ac.uk/mv/allfaces/	https://cswww.essex.ac.uk/mv/allfaces/	PROPN
iajs-2527	119	50	)	)	PUNCT
iajs-2527	119	51	.	.	PUNCT
iajs-2527	120	1	each	each	DET
iajs-2527	120	2	image	image	NOUN
iajs-2527	120	3	was	be	AUX
iajs-2527	120	4	formatted	format	VERB
iajs-2527	120	5	in	in	ADP
iajs-2527	120	6	24	24	NUM
iajs-2527	120	7	colored	colored	ADJ
iajs-2527	120	8	jpeg	jpeg	NOUN
iajs-2527	120	9	and	and	CCONJ
iajs-2527	120	10	camera	camera	NOUN
iajs-2527	120	11	used	use	VERB
iajs-2527	120	12	was	be	AUX
iajs-2527	120	13	s	s	NOUN
iajs-2527	120	14	-	-	ADJ
iajs-2527	120	15	vhs	vhs	NOUN
iajs-2527	120	16	camcorder	camcorder	NOUN
iajs-2527	120	17	.	.	PUNCT
iajs-2527	121	1	the	the	DET
iajs-2527	121	2	figure	figure	NOUN
iajs-2527	121	3	2	2	NUM
iajs-2527	121	4	shows	show	VERB
iajs-2527	121	5	a	a	DET
iajs-2527	121	6	sample	sample	NOUN
iajs-2527	121	7	of	of	ADP
iajs-2527	121	8	the	the	DET
iajs-2527	121	9	faces	face	NOUN
iajs-2527	121	10	images	image	NOUN
iajs-2527	121	11	which	which	PRON
iajs-2527	121	12	were	be	AUX
iajs-2527	121	13	considered	consider	VERB
iajs-2527	121	14	as	as	ADP
iajs-2527	121	15	a	a	DET
iajs-2527	121	16	training	training	NOUN
iajs-2527	121	17	data	datum	NOUN
iajs-2527	121	18	set	set	VERB
iajs-2527	121	19	in	in	ADP
iajs-2527	121	20	this	this	DET
iajs-2527	121	21	work	work	NOUN
iajs-2527	121	22	.	.	PUNCT
iajs-2527	122	1	this	this	DET
iajs-2527	122	2	database	database	NOUN
iajs-2527	122	3	contains	contain	VERB
iajs-2527	122	4	faces	face	NOUN
iajs-2527	122	5	images	image	NOUN
iajs-2527	122	6	of	of	ADP
iajs-2527	122	7	male	male	ADJ
iajs-2527	122	8	and	and	CCONJ
iajs-2527	122	9	female	female	ADJ
iajs-2527	122	10	subjects	subject	NOUN
iajs-2527	122	11	in	in	ADP
iajs-2527	122	12	separate	separate	ADJ
iajs-2527	122	13	directories	directory	NOUN
iajs-2527	122	14	with	with	ADP
iajs-2527	122	15	the	the	DET
iajs-2527	122	16	size	size	NOUN
iajs-2527	122	17	of	of	ADP
iajs-2527	122	18	180	180	NUM
iajs-2527	122	19	×	×	NOUN
iajs-2527	122	20	200	200	NUM
iajs-2527	122	21	pixels	pixel	NOUN
iajs-2527	122	22	for	for	ADP
iajs-2527	122	23	each	each	DET
iajs-2527	122	24	image	image	NOUN
iajs-2527	122	25	.	.	PUNCT
iajs-2527	123	1	compute	compute	NOUN
iajs-2527	123	2	euclidian	euclidian	ADJ
iajs-2527	123	3	distance	distance	NOUN
iajs-2527	123	4	output	output	NOUN
iajs-2527	123	5	faced	face	VERB
iajs-2527	123	6	image	image	NOUN
iajs-2527	123	7	feature	feature	NOUN
iajs-2527	123	8	extraction	extraction	NOUN
iajs-2527	123	9	using	use	VERB
iajs-2527	123	10	pca	pca	PROPN
iajs-2527	123	11	database	database	NOUN
iajs-2527	123	12	(	(	PUNCT
iajs-2527	123	13	training	training	NOUN
iajs-2527	123	14	faces	face	NOUN
iajs-2527	123	15	images	image	NOUN
iajs-2527	123	16	  	  	SPACE
iajs-2527	123	17	input	input	NOUN
iajs-2527	123	18	image	image	NOUN
iajs-2527	123	19	(	(	PUNCT
iajs-2527	123	20	test	test	NOUN
iajs-2527	123	21	face	face	NOUN
iajs-2527	123	22	image	image	NOUN
iajs-2527	123	23	)	)	PUNCT
iajs-2527	123	24	de	de	ADJ
iajs-2527	123	25	-	-	ADJ
iajs-2527	123	26	noising	noising	ADJ
iajs-2527	123	27	filter	filter	NOUN
iajs-2527	123	28	feature	feature	NOUN
iajs-2527	123	29	extraction	extraction	NOUN
iajs-2527	123	30	using	use	VERB
iajs-2527	123	31	      	      	SPACE
iajs-2527	123	32	153	153	NUM
iajs-2527	123	33	  	  	SPACE
iajs-2527	123	34	ibn	ibn	PROPN
iajs-2527	123	35	al	al	PROPN
iajs-2527	123	36	-	-	PUNCT
iajs-2527	123	37	haitham	haitham	PROPN
iajs-2527	123	38	jour	jour	X
iajs-2527	123	39	.	.	PROPN
iajs-2527	124	1	for	for	ADP
iajs-2527	124	2	pure	pure	ADJ
iajs-2527	124	3	&	&	CCONJ
iajs-2527	124	4	appl	appl	PROPN
iajs-2527	124	5	.	.	PUNCT
iajs-2527	125	1	sci	sci	PROPN
iajs-2527	125	2	.	.	PROPN
iajs-2527	126	1	33	33	NUM
iajs-2527	126	2	(	(	PUNCT
iajs-2527	126	3	4	4	NUM
iajs-2527	126	4	)	)	PUNCT
iajs-2527	126	5	2020	2020	NUM
iajs-2527	126	6	figure	figure	VERB
iajs-2527	126	7	2	2	NUM
iajs-2527	126	8	.	.	PUNCT
iajs-2527	127	1	a	a	DET
iajs-2527	127	2	sample	sample	NOUN
iajs-2527	127	3	of	of	ADP
iajs-2527	127	4	faces	face	NOUN
iajs-2527	127	5	images	image	NOUN
iajs-2527	127	6	(	(	PUNCT
iajs-2527	127	7	training	training	NOUN
iajs-2527	127	8	dataset	dataset	NOUN
iajs-2527	127	9	)	)	PUNCT
iajs-2527	127	10	from	from	ADP
iajs-2527	127	11	faces94	faces94	NOUN
iajs-2527	127	12	databases	database	NOUN
iajs-2527	127	13	to	to	PART
iajs-2527	127	14	evaluate	evaluate	VERB
iajs-2527	127	15	the	the	DET
iajs-2527	127	16	behaviour	behaviour	NOUN
iajs-2527	127	17	of	of	ADP
iajs-2527	127	18	the	the	DET
iajs-2527	127	19	face	face	NOUN
iajs-2527	127	20	recognition	recognition	NOUN
iajs-2527	127	21	algorithm	algorithm	NOUN
iajs-2527	127	22	,	,	PUNCT
iajs-2527	127	23	the	the	DET
iajs-2527	127	24	experiments	experiment	NOUN
iajs-2527	127	25	were	be	AUX
iajs-2527	127	26	achieved	achieve	VERB
iajs-2527	127	27	on	on	ADP
iajs-2527	127	28	the	the	DET
iajs-2527	127	29	training	training	NOUN
iajs-2527	127	30	(	(	PUNCT
iajs-2527	127	31	50	50	NUM
iajs-2527	127	32	images	image	NOUN
iajs-2527	127	33	)	)	PUNCT
iajs-2527	127	34	and	and	CCONJ
iajs-2527	127	35	testing	test	VERB
iajs-2527	127	36	data	data	NOUN
iajs-2527	127	37	sets	set	NOUN
iajs-2527	127	38	(	(	PUNCT
iajs-2527	127	39	6	6	NUM
iajs-2527	127	40	images	image	NOUN
iajs-2527	127	41	)	)	PUNCT
iajs-2527	127	42	.	.	PUNCT
iajs-2527	128	1	each	each	DET
iajs-2527	128	2	original	original	ADJ
iajs-2527	128	3	image	image	NOUN
iajs-2527	128	4	in	in	ADP
iajs-2527	128	5	the	the	DET
iajs-2527	128	6	testing	testing	NOUN
iajs-2527	128	7	data	datum	NOUN
iajs-2527	128	8	set	set	VERB
iajs-2527	128	9	was	be	AUX
iajs-2527	128	10	corrupted	corrupt	VERB
iajs-2527	128	11	by	by	ADP
iajs-2527	128	12	salt	salt	NOUN
iajs-2527	128	13	and	and	CCONJ
iajs-2527	128	14	pepper	pepper	NOUN
iajs-2527	128	15	noise	noise	NOUN
iajs-2527	128	16	with	with	ADP
iajs-2527	128	17	different	different	ADJ
iajs-2527	128	18	noise	noise	NOUN
iajs-2527	128	19	intensities	intensity	NOUN
iajs-2527	128	20	(	(	PUNCT
iajs-2527	128	21	10	10	NUM
iajs-2527	128	22	%	%	NOUN
iajs-2527	128	23	;	;	PUNCT
iajs-2527	128	24	50	50	NUM
iajs-2527	128	25	%	%	NOUN
iajs-2527	128	26	;	;	PUNCT
iajs-2527	128	27	90	90	NUM
iajs-2527	128	28	%	%	NOUN
iajs-2527	128	29	)	)	PUNCT
iajs-2527	128	30	.	.	PUNCT
iajs-2527	129	1	the	the	DET
iajs-2527	129	2	figure	figure	NOUN
iajs-2527	129	3	3	3	NUM
iajs-2527	129	4	shows	show	VERB
iajs-2527	129	5	the	the	DET
iajs-2527	129	6	visual	visual	ADJ
iajs-2527	129	7	results	result	NOUN
iajs-2527	129	8	of	of	ADP
iajs-2527	129	9	the	the	DET
iajs-2527	129	10	corrupted	corrupted	ADJ
iajs-2527	129	11	images	image	NOUN
iajs-2527	129	12	by	by	ADP
iajs-2527	129	13	different	different	ADJ
iajs-2527	129	14	noise	noise	NOUN
iajs-2527	129	15	intensities	intensity	NOUN
iajs-2527	129	16	.	.	PUNCT
iajs-2527	130	1	figure	figure	NOUN
iajs-2527	130	2	3	3	NUM
iajs-2527	130	3	.	.	PUNCT
iajs-2527	131	1	(	(	PUNCT
iajs-2527	131	2	a	a	X
iajs-2527	131	3	)	)	PUNCT
iajs-2527	131	4	the	the	DET
iajs-2527	131	5	original	original	ADJ
iajs-2527	131	6	images	image	NOUN
iajs-2527	131	7	,	,	PUNCT
iajs-2527	131	8	(	(	PUNCT
iajs-2527	131	9	b	b	X
iajs-2527	131	10	)	)	PUNCT
iajs-2527	131	11	the	the	DET
iajs-2527	131	12	corrupted	corrupted	ADJ
iajs-2527	131	13	images	image	NOUN
iajs-2527	131	14	with	with	ADP
iajs-2527	131	15	noise	noise	NOUN
iajs-2527	131	16	intensity	intensity	NOUN
iajs-2527	131	17	10	10	NUM
iajs-2527	131	18	%	%	NOUN
iajs-2527	131	19	,	,	PUNCT
iajs-2527	131	20	(	(	PUNCT
iajs-2527	131	21	c	c	X
iajs-2527	131	22	)	)	PUNCT
iajs-2527	131	23	the	the	DET
iajs-2527	131	24	corrupted	corrupt	VERB
iajs-2527	131	25	images	image	NOUN
iajs-2527	131	26	with	with	ADP
iajs-2527	131	27	noise	noise	NOUN
iajs-2527	131	28	intensity	intensity	NOUN
iajs-2527	131	29	50	50	NUM
iajs-2527	131	30	%	%	NOUN
iajs-2527	131	31	,	,	PUNCT
iajs-2527	131	32	and	and	CCONJ
iajs-2527	131	33	(	(	PUNCT
iajs-2527	131	34	d	d	X
iajs-2527	131	35	)	)	PUNCT
iajs-2527	131	36	the	the	DET
iajs-2527	131	37	corrupted	corrupted	ADJ
iajs-2527	131	38	images	image	NOUN
iajs-2527	131	39	with	with	ADP
iajs-2527	131	40	noise	noise	NOUN
iajs-2527	131	41	intensity	intensity	NOUN
iajs-2527	131	42	90	90	NUM
iajs-2527	131	43	%	%	NOUN
iajs-2527	131	44	.	.	PUNCT
iajs-2527	132	1	from	from	ADP
iajs-2527	132	2	figure	figure	NOUN
iajs-2527	132	3	3	3	NUM
iajs-2527	132	4	,	,	PUNCT
iajs-2527	132	5	adding	add	VERB
iajs-2527	132	6	90	90	NUM
iajs-2527	132	7	%	%	NOUN
iajs-2527	132	8	density	density	NOUN
iajs-2527	132	9	of	of	ADP
iajs-2527	132	10	the	the	DET
iajs-2527	132	11	salt	salt	NOUN
iajs-2527	132	12	and	and	CCONJ
iajs-2527	132	13	pepper	pepper	NOUN
iajs-2527	132	14	noise	noise	NOUN
iajs-2527	132	15	to	to	ADP
iajs-2527	132	16	the	the	DET
iajs-2527	132	17	image	image	NOUN
iajs-2527	132	18	causes	cause	VERB
iajs-2527	132	19	severe	severe	ADJ
iajs-2527	132	20	damage	damage	NOUN
iajs-2527	132	21	to	to	ADP
iajs-2527	132	22	the	the	DET
iajs-2527	132	23	image	image	NOUN
iajs-2527	132	24	.	.	PUNCT
iajs-2527	133	1	the	the	DET
iajs-2527	133	2	corrupted	corrupted	ADJ
iajs-2527	133	3	images	image	NOUN
iajs-2527	133	4	can	can	AUX
iajs-2527	133	5	be	be	AUX
iajs-2527	133	6	cleaned	clean	VERB
iajs-2527	133	7	by	by	ADP
iajs-2527	133	8	using	use	VERB
iajs-2527	133	9	different	different	ADJ
iajs-2527	133	10	de	de	ADJ
iajs-2527	133	11	-	-	ADJ
iajs-2527	133	12	noising	noising	ADJ
iajs-2527	133	13	techniques	technique	NOUN
iajs-2527	133	14	.	.	PUNCT
iajs-2527	134	1	figure	figure	NOUN
iajs-2527	134	2	4	4	NUM
iajs-2527	134	3	shows	show	VERB
iajs-2527	134	4	the	the	DET
iajs-2527	134	5	visual	visual	ADJ
iajs-2527	134	6	comparison	comparison	NOUN
iajs-2527	134	7	of	of	ADP
iajs-2527	134	8	de	de	ADJ
iajs-2527	134	9	-	-	ADJ
iajs-2527	134	10	noising	noising	ADJ
iajs-2527	134	11	techniques	technique	NOUN
iajs-2527	134	12	performed	perform	VERB
iajs-2527	134	13	on	on	ADP
iajs-2527	134	14	the	the	DET
iajs-2527	134	15	test	test	NOUN
iajs-2527	134	16	images	image	NOUN
iajs-2527	134	17	.	.	PUNCT
iajs-2527	135	1	figure	figure	VERB
iajs-2527	135	2	4	4	NUM
iajs-2527	135	3	.	.	PUNCT
iajs-2527	136	1	the	the	DET
iajs-2527	136	2	comparison	comparison	NOUN
iajs-2527	136	3	results	result	NOUN
iajs-2527	136	4	of	of	ADP
iajs-2527	136	5	de	de	NOUN
iajs-2527	136	6	-	-	NOUN
iajs-2527	136	7	noising	noise	VERB
iajs-2527	136	8	the	the	DET
iajs-2527	136	9	corrupted	corrupted	ADJ
iajs-2527	136	10	faces	face	NOUN
iajs-2527	136	11	images	image	NOUN
iajs-2527	136	12	using	use	VERB
iajs-2527	136	13	(	(	PUNCT
iajs-2527	136	14	a	a	PRON
iajs-2527	136	15	)	)	PUNCT
iajs-2527	136	16	mf	mf	PROPN
iajs-2527	136	17	,	,	PUNCT
iajs-2527	136	18	(	(	PUNCT
iajs-2527	136	19	b	b	NOUN
iajs-2527	136	20	)	)	PUNCT
iajs-2527	136	21	hmf	hmf	PROPN
iajs-2527	136	22	,	,	PUNCT
iajs-2527	136	23	(	(	PUNCT
iajs-2527	136	24	c	c	X
iajs-2527	136	25	)	)	PUNCT
iajs-2527	136	26	amf	amf	PROPN
iajs-2527	136	27	,	,	PUNCT
iajs-2527	136	28	and	and	CCONJ
iajs-2527	136	29	(	(	PUNCT
iajs-2527	136	30	d	d	X
iajs-2527	136	31	)	)	PUNCT
iajs-2527	136	32	awmf	awmf	NOUN
iajs-2527	136	33	im1	im1	PROPN
iajs-2527	136	34	im2	im2	PROPN
iajs-2527	136	35	im3	im3	PROPN
iajs-2527	136	36	im4	im4	PROPN
iajs-2527	136	37	im5	im5	PROPN
iajs-2527	136	38	im6	im6	PROPN
iajs-2527	136	39	(	(	PUNCT
iajs-2527	136	40	a	a	NOUN
iajs-2527	136	41	)	)	PUNCT
iajs-2527	136	42	(	(	PUNCT
iajs-2527	136	43	b	b	X
iajs-2527	136	44	)	)	PUNCT
iajs-2527	136	45	(	(	PUNCT
iajs-2527	136	46	c	c	X
iajs-2527	136	47	)	)	PUNCT
iajs-2527	136	48	(	(	PUNCT
iajs-2527	136	49	d	d	X
iajs-2527	136	50	)	)	PUNCT
iajs-2527	136	51	(	(	PUNCT
iajs-2527	136	52	a	a	X
iajs-2527	136	53	)	)	PUNCT
iajs-2527	136	54	(	(	PUNCT
iajs-2527	136	55	b	b	X
iajs-2527	136	56	)	)	PUNCT
iajs-2527	136	57	(	(	PUNCT
iajs-2527	136	58	c	c	X
iajs-2527	136	59	)	)	PUNCT
iajs-2527	136	60	(	(	PUNCT
iajs-2527	136	61	d	d	X
iajs-2527	136	62	)	)	PUNCT
iajs-2527	136	63	      	      	SPACE
iajs-2527	136	64	154	154	NUM
iajs-2527	136	65	  	  	SPACE
iajs-2527	136	66	ibn	ibn	PROPN
iajs-2527	136	67	al	al	PROPN
iajs-2527	136	68	-	-	PUNCT
iajs-2527	136	69	haitham	haitham	PROPN
iajs-2527	136	70	jour	jour	X
iajs-2527	136	71	.	.	PROPN
iajs-2527	137	1	for	for	ADP
iajs-2527	137	2	pure	pure	ADJ
iajs-2527	137	3	&	&	CCONJ
iajs-2527	137	4	appl	appl	PROPN
iajs-2527	137	5	.	.	PUNCT
iajs-2527	138	1	sci	sci	PROPN
iajs-2527	138	2	.	.	PROPN
iajs-2527	139	1	33	33	NUM
iajs-2527	139	2	(	(	PUNCT
iajs-2527	139	3	4	4	NUM
iajs-2527	139	4	)	)	PUNCT
iajs-2527	139	5	2020	2020	NUM
iajs-2527	140	1	from	from	ADP
iajs-2527	140	2	the	the	DET
iajs-2527	140	3	above	above	ADJ
iajs-2527	140	4	figure	figure	NOUN
iajs-2527	140	5	,	,	PUNCT
iajs-2527	140	6	it	it	PRON
iajs-2527	140	7	can	can	AUX
iajs-2527	140	8	be	be	AUX
iajs-2527	140	9	observed	observe	VERB
iajs-2527	140	10	that	that	SCONJ
iajs-2527	140	11	the	the	DET
iajs-2527	140	12	awmf	awmf	NOUN
iajs-2527	140	13	filter	filter	NOUN
iajs-2527	140	14	gives	give	VERB
iajs-2527	140	15	the	the	DET
iajs-2527	140	16	better	well	ADJ
iajs-2527	140	17	results	result	NOUN
iajs-2527	140	18	compared	compare	VERB
iajs-2527	140	19	with	with	ADP
iajs-2527	140	20	the	the	DET
iajs-2527	140	21	other	other	ADJ
iajs-2527	140	22	filters	filter	NOUN
iajs-2527	140	23	.	.	PUNCT
iajs-2527	141	1	peak	peak	NOUN
iajs-2527	141	2	signal	signal	NOUN
iajs-2527	141	3	to	to	PART
iajs-2527	141	4	noise	noise	VERB
iajs-2527	141	5	ratio	ratio	NOUN
iajs-2527	141	6	(	(	PUNCT
iajs-2527	141	7	psnr	psnr	NOUN
iajs-2527	141	8	)	)	PUNCT
iajs-2527	141	9	is	be	AUX
iajs-2527	141	10	used	use	VERB
iajs-2527	141	11	as	as	ADP
iajs-2527	141	12	metric	metric	ADJ
iajs-2527	141	13	to	to	PART
iajs-2527	141	14	measure	measure	VERB
iajs-2527	141	15	the	the	DET
iajs-2527	141	16	image	image	NOUN
iajs-2527	141	17	quality	quality	NOUN
iajs-2527	141	18	.	.	PUNCT
iajs-2527	142	1	to	to	PART
iajs-2527	142	2	obtain	obtain	VERB
iajs-2527	142	3	a	a	DET
iajs-2527	142	4	better	well	ADJ
iajs-2527	142	5	face	face	NOUN
iajs-2527	142	6	recognition	recognition	NOUN
iajs-2527	142	7	algorithm	algorithm	NOUN
iajs-2527	142	8	,	,	PUNCT
iajs-2527	142	9	the	the	DET
iajs-2527	142	10	value	value	NOUN
iajs-2527	142	11	of	of	ADP
iajs-2527	142	12	psnr	psnr	NOUN
iajs-2527	142	13	for	for	ADP
iajs-2527	142	14	gray	gray	ADJ
iajs-2527	142	15	scale	scale	NOUN
iajs-2527	142	16	image	image	NOUN
iajs-2527	142	17	should	should	AUX
iajs-2527	142	18	be	be	AUX
iajs-2527	142	19	maximum	maximum	ADJ
iajs-2527	142	20	.	.	PUNCT
iajs-2527	143	1	higher	high	ADJ
iajs-2527	143	2	the	the	DET
iajs-2527	143	3	psnr	psnr	NOUN
iajs-2527	143	4	,	,	PUNCT
iajs-2527	143	5	higher	high	ADJ
iajs-2527	143	6	quality	quality	NOUN
iajs-2527	143	7	in	in	ADP
iajs-2527	143	8	the	the	DET
iajs-2527	143	9	de	de	ADJ
iajs-2527	143	10	-	-	ADJ
iajs-2527	143	11	noised	noised	ADJ
iajs-2527	143	12	images	image	NOUN
iajs-2527	143	13	.	.	PUNCT
iajs-2527	144	1	𝑃𝑆𝑁𝑅	𝑃𝑆𝑁𝑅	NOUN
iajs-2527	144	2	20𝑙𝑜𝑔	20𝑙𝑜𝑔	NOUN
iajs-2527	144	3	√	√	NUM
iajs-2527	144	4	(	(	PUNCT
iajs-2527	144	5	6	6	NUM
iajs-2527	144	6	)	)	PUNCT
iajs-2527	144	7	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
iajs-2527	144	8	∑	∑	PUNCT
iajs-2527	144	9	∑	∑	PUNCT
iajs-2527	144	10	‖𝑓	‖𝑓	VERB
iajs-2527	144	11	𝑖	𝑖	SYM
iajs-2527	144	12	,	,	PUNCT
iajs-2527	144	13	𝑗	𝑗	PROPN
iajs-2527	144	14	𝑔	𝑔	PROPN
iajs-2527	144	15	𝑖	𝑖	PROPN
iajs-2527	144	16	,	,	PUNCT
iajs-2527	144	17	𝑗	𝑗	PROPN
iajs-2527	144	18	‖	‖	PROPN
iajs-2527	144	19	(	(	PUNCT
iajs-2527	144	20	7	7	NUM
iajs-2527	144	21	)	)	PUNCT
iajs-2527	144	22	where	where	SCONJ
iajs-2527	144	23	mean	mean	NOUN
iajs-2527	144	24	squared	square	VERB
iajs-2527	144	25	error	error	NOUN
iajs-2527	144	26	is	be	AUX
iajs-2527	144	27	represented	represent	VERB
iajs-2527	144	28	as	as	ADP
iajs-2527	144	29	mse	mse	NOUN
iajs-2527	144	30	,	,	PUNCT
iajs-2527	144	31	𝑓	𝑓	PRON
iajs-2527	144	32	is	be	AUX
iajs-2527	144	33	the	the	DET
iajs-2527	144	34	two	two	NUM
iajs-2527	144	35	dimension	dimension	NOUN
iajs-2527	144	36	data	datum	NOUN
iajs-2527	144	37	of	of	ADP
iajs-2527	144	38	the	the	DET
iajs-2527	144	39	original	original	ADJ
iajs-2527	144	40	image	image	NOUN
iajs-2527	144	41	,	,	PUNCT
iajs-2527	144	42	𝑔	𝑔	PROPN
iajs-2527	144	43	is	be	AUX
iajs-2527	144	44	the	the	DET
iajs-2527	144	45	two	two	NUM
iajs-2527	144	46	dimension	dimension	NOUN
iajs-2527	144	47	data	datum	NOUN
iajs-2527	144	48	of	of	ADP
iajs-2527	144	49	the	the	DET
iajs-2527	144	50	degraded	degraded	ADJ
iajs-2527	144	51	image	image	NOUN
iajs-2527	144	52	in	in	ADP
iajs-2527	144	53	question	question	NOUN
iajs-2527	144	54	𝑣	𝑣	ADP
iajs-2527	144	55	and	and	CCONJ
iajs-2527	144	56	𝑢	𝑢	NOUN
iajs-2527	144	57	are	be	AUX
iajs-2527	144	58	the	the	DET
iajs-2527	144	59	numbers	number	NOUN
iajs-2527	144	60	of	of	ADP
iajs-2527	144	61	rows	row	NOUN
iajs-2527	144	62	and	and	CCONJ
iajs-2527	144	63	columns	column	NOUN
iajs-2527	144	64	of	of	ADP
iajs-2527	144	65	pixels	pixel	NOUN
iajs-2527	144	66	of	of	ADP
iajs-2527	144	67	the	the	DET
iajs-2527	144	68	images	image	NOUN
iajs-2527	144	69	respectively	respectively	ADV
iajs-2527	144	70	.	.	PUNCT
iajs-2527	145	1	𝑖	𝑖	X
iajs-2527	146	1	and	and	CCONJ
iajs-2527	146	2	𝑗	𝑗	INTJ
iajs-2527	146	3	represent	represent	VERB
iajs-2527	146	4	the	the	DET
iajs-2527	146	5	indexes	index	NOUN
iajs-2527	146	6	of	of	ADP
iajs-2527	146	7	the	the	DET
iajs-2527	146	8	row	row	NOUN
iajs-2527	146	9	and	and	CCONJ
iajs-2527	146	10	column	column	NOUN
iajs-2527	146	11	respectively	respectively	ADV
iajs-2527	146	12	.	.	PUNCT
iajs-2527	147	1	𝑀𝑎𝑥	𝑀𝑎𝑥	PROPN
iajs-2527	147	2	is	be	AUX
iajs-2527	147	3	the	the	DET
iajs-2527	147	4	maximum	maximum	ADJ
iajs-2527	147	5	value	value	NOUN
iajs-2527	147	6	in	in	ADP
iajs-2527	147	7	the	the	DET
iajs-2527	147	8	original	original	ADJ
iajs-2527	147	9	image	image	NOUN
iajs-2527	147	10	(	(	PUNCT
iajs-2527	147	11	clean	clean	ADJ
iajs-2527	147	12	image	image	NOUN
iajs-2527	147	13	)	)	PUNCT
iajs-2527	147	14	.	.	PUNCT
iajs-2527	148	1	table	table	NOUN
iajs-2527	148	2	1	1	NUM
iajs-2527	148	3	to	to	PART
iajs-2527	148	4	table	table	NOUN
iajs-2527	148	5	4	4	NUM
iajs-2527	148	6	illustrate	illustrate	VERB
iajs-2527	148	7	the	the	DET
iajs-2527	148	8	comparison	comparison	NOUN
iajs-2527	148	9	of	of	ADP
iajs-2527	148	10	psnr	psnr	NOUN
iajs-2527	148	11	values	value	NOUN
iajs-2527	148	12	for	for	ADP
iajs-2527	148	13	the	the	DET
iajs-2527	148	14	restored	restore	VERB
iajs-2527	148	15	images	image	NOUN
iajs-2527	148	16	,	,	PUNCT
iajs-2527	148	17	which	which	PRON
iajs-2527	148	18	were	be	AUX
iajs-2527	148	19	affected	affect	VERB
iajs-2527	148	20	by	by	ADP
iajs-2527	148	21	different	different	ADJ
iajs-2527	148	22	noise	noise	NOUN
iajs-2527	148	23	densities	density	NOUN
iajs-2527	148	24	,	,	PUNCT
iajs-2527	148	25	using	use	VERB
iajs-2527	148	26	mf	mf	PROPN
iajs-2527	148	27	,	,	PUNCT
iajs-2527	148	28	hmf	hmf	PROPN
iajs-2527	148	29	,	,	PUNCT
iajs-2527	148	30	amf	amf	PROPN
iajs-2527	148	31	,	,	PUNCT
iajs-2527	148	32	and	and	CCONJ
iajs-2527	148	33	awmf	awmf	NOUN
iajs-2527	148	34	filters	filter	NOUN
iajs-2527	148	35	respectively	respectively	ADV
iajs-2527	148	36	.	.	PUNCT
iajs-2527	148	37	table	table	NOUN
iajs-2527	148	38	1	1	NUM
iajs-2527	148	39	.	.	PUNCT
iajs-2527	149	1	the	the	DET
iajs-2527	149	2	comparison	comparison	NOUN
iajs-2527	149	3	values	value	NOUN
iajs-2527	149	4	of	of	ADP
iajs-2527	149	5	psnr	psnr	NOUN
iajs-2527	149	6	for	for	ADP
iajs-2527	149	7	the	the	DET
iajs-2527	149	8	restored	restore	VERB
iajs-2527	149	9	images	image	NOUN
iajs-2527	149	10	using	use	VERB
iajs-2527	149	11	mf	mf	PRON
iajs-2527	149	12	table	table	NOUN
iajs-2527	149	13	2	2	NUM
iajs-2527	149	14	.	.	PUNCT
iajs-2527	150	1	the	the	DET
iajs-2527	150	2	comparison	comparison	NOUN
iajs-2527	150	3	values	value	NOUN
iajs-2527	150	4	of	of	ADP
iajs-2527	150	5	psnr	psnr	NOUN
iajs-2527	150	6	for	for	ADP
iajs-2527	150	7	the	the	DET
iajs-2527	150	8	restored	restore	VERB
iajs-2527	150	9	images	image	NOUN
iajs-2527	150	10	using	use	VERB
iajs-2527	150	11	hmf	hmf	NOUN
iajs-2527	150	12	table	table	NOUN
iajs-2527	150	13	3	3	X
iajs-2527	150	14	.	.	PUNCT
iajs-2527	151	1	the	the	DET
iajs-2527	151	2	comparison	comparison	NOUN
iajs-2527	151	3	values	value	VERB
iajs-2527	151	4	ofpsnr	ofpsnr	PRON
iajs-2527	151	5	for	for	ADP
iajs-2527	151	6	the	the	DET
iajs-2527	151	7	restored	restore	VERB
iajs-2527	151	8	images	image	NOUN
iajs-2527	151	9	using	use	VERB
iajs-2527	151	10	amf	amf	PROPN
iajs-2527	151	11	noise	noise	NOUN
iajs-2527	151	12	image	image	NOUN
iajs-2527	151	13	10	10	NUM
iajs-2527	151	14	%	%	NOUN
iajs-2527	151	15	50	50	NUM
iajs-2527	151	16	%	%	NOUN
iajs-2527	151	17	90	90	NUM
iajs-2527	151	18	%	%	NOUN
iajs-2527	151	19	im1	im1	PROPN
iajs-2527	151	20	17.6938	17.6938	NUM
iajs-2527	151	21	12.0136	12.0136	NUM
iajs-2527	151	22	9.9451	9.9451	NUM
iajs-2527	151	23	im2	im2	PROPN
iajs-2527	151	24	18.0800	18.0800	NUM
iajs-2527	151	25	12.1232	12.1232	NUM
iajs-2527	151	26	9.9506	9.9506	NUM
iajs-2527	151	27	im3	im3	NOUN
iajs-2527	151	28	18.1177	18.1177	NUM
iajs-2527	151	29	12.1382	12.1382	NUM
iajs-2527	151	30	9.9413	9.9413	NUM
iajs-2527	151	31	im4	im4	NOUN
iajs-2527	151	32	17.9518	17.9518	NUM
iajs-2527	151	33	12.0134	12.0134	NUM
iajs-2527	151	34	9.9351	9.9351	NUM
iajs-2527	151	35	im5	im5	NOUN
iajs-2527	151	36	17.4907	17.4907	NUM
iajs-2527	151	37	11.9717	11.9717	NUM
iajs-2527	151	38	9.9570	9.9570	NUM
iajs-2527	152	1	im6	im6	NOUN
iajs-2527	152	2	16.4798	16.4798	NUM
iajs-2527	152	3	11.5605	11.5605	NUM
iajs-2527	152	4	9.9027	9.9027	NUM
iajs-2527	152	5	noise	noise	NOUN
iajs-2527	152	6	image	image	NOUN
iajs-2527	152	7	10	10	NUM
iajs-2527	152	8	%	%	NOUN
iajs-2527	152	9	50	50	NUM
iajs-2527	152	10	%	%	NOUN
iajs-2527	152	11	90	90	NUM
iajs-2527	152	12	%	%	NOUN
iajs-2527	152	13	im1	im1	PROPN
iajs-2527	152	14	34.6109	34.6109	NUM
iajs-2527	152	15	14.3554	14.3554	NUM
iajs-2527	152	16	6.2502	6.2502	NUM
iajs-2527	152	17	im2	im2	PROPN
iajs-2527	152	18	35.9293	35.9293	NUM
iajs-2527	152	19	14.2834	14.2834	NUM
iajs-2527	152	20	6.2186	6.2186	NUM
iajs-2527	152	21	im3	im3	PROPN
iajs-2527	152	22	35.7711	35.7711	NUM
iajs-2527	152	23	14.7425	14.7425	NUM
iajs-2527	152	24	6.1834	6.1834	NUM
iajs-2527	152	25	im4	im4	NOUN
iajs-2527	152	26	36.2320	36.2320	NUM
iajs-2527	152	27	14.5863	14.5863	NUM
iajs-2527	152	28	6.1669	6.1669	NUM
iajs-2527	152	29	im5	im5	NOUN
iajs-2527	152	30	34.5701	34.5701	NUM
iajs-2527	152	31	14.4894	14.4894	NUM
iajs-2527	152	32	6.1820	6.1820	NUM
iajs-2527	152	33	im6	im6	PRON
iajs-2527	152	34	33.7447	33.7447	NUM
iajs-2527	152	35	13.9790	13.9790	NUM
iajs-2527	152	36	5.8894	5.8894	NUM
iajs-2527	152	37	noise	noise	NOUN
iajs-2527	152	38	image	image	NOUN
iajs-2527	152	39	10	10	NUM
iajs-2527	152	40	%	%	NOUN
iajs-2527	152	41	50	50	NUM
iajs-2527	152	42	%	%	NOUN
iajs-2527	152	43	90	90	NUM
iajs-2527	152	44	%	%	NOUN
iajs-2527	152	45	im1	im1	PROPN
iajs-2527	152	46	40.4054	40.4054	NUM
iajs-2527	152	47	28.1009	28.1009	NUM
iajs-2527	152	48	17.4857	17.4857	NUM
iajs-2527	152	49	im2	im2	PROPN
iajs-2527	152	50	39.7362	39.7362	NUM
iajs-2527	152	51	27.6846	27.6846	NUM
iajs-2527	152	52	17.5126	17.5126	NUM
iajs-2527	152	53	im3	im3	PROPN
iajs-2527	152	54	39.8683	39.8683	NUM
iajs-2527	152	55	28.3658	28.3658	NUM
iajs-2527	152	56	18.3798	18.3798	NUM
iajs-2527	152	57	im4	im4	PROPN
iajs-2527	152	58	41.7850	41.7850	NUM
iajs-2527	152	59	29.6597	29.6597	NUM
iajs-2527	152	60	20.3185	20.3185	NUM
iajs-2527	152	61	im5	im5	NOUN
iajs-2527	152	62	37.2654	37.2654	NUM
iajs-2527	152	63	26.9900	26.9900	NUM
iajs-2527	152	64	17.9901	17.9901	NUM
iajs-2527	152	65	im6	im6	NOUN
iajs-2527	152	66	39.7747	39.7747	NUM
iajs-2527	152	67	27.0106	27.0106	NUM
iajs-2527	152	68	15.8127	15.8127	NUM
iajs-2527	152	69	      	      	SPACE
iajs-2527	152	70	155	155	NUM
iajs-2527	152	71	  	  	SPACE
iajs-2527	152	72	ibn	ibn	PROPN
iajs-2527	152	73	al	al	PROPN
iajs-2527	152	74	-	-	PUNCT
iajs-2527	152	75	haitham	haitham	PROPN
iajs-2527	152	76	jour	jour	X
iajs-2527	152	77	.	.	PROPN
iajs-2527	153	1	for	for	ADP
iajs-2527	153	2	pure	pure	ADJ
iajs-2527	153	3	&	&	CCONJ
iajs-2527	153	4	appl	appl	PROPN
iajs-2527	153	5	.	.	PUNCT
iajs-2527	154	1	sci	sci	PROPN
iajs-2527	154	2	.	.	PROPN
iajs-2527	155	1	33	33	NUM
iajs-2527	155	2	(	(	PUNCT
iajs-2527	155	3	4	4	NUM
iajs-2527	155	4	)	)	PUNCT
iajs-2527	155	5	2020	2020	NUM
iajs-2527	155	6	table	table	NOUN
iajs-2527	155	7	4	4	NUM
iajs-2527	155	8	.	.	PUNCT
iajs-2527	156	1	the	the	DET
iajs-2527	156	2	comparison	comparison	NOUN
iajs-2527	156	3	values	value	NOUN
iajs-2527	156	4	of	of	ADP
iajs-2527	156	5	psnr	psnr	NOUN
iajs-2527	156	6	for	for	ADP
iajs-2527	156	7	the	the	DET
iajs-2527	156	8	restored	restore	VERB
iajs-2527	156	9	images	image	NOUN
iajs-2527	156	10	using	use	VERB
iajs-2527	156	11	awmf	awmf	NOUN
iajs-2527	156	12	from	from	ADP
iajs-2527	156	13	the	the	DET
iajs-2527	156	14	tables	table	NOUN
iajs-2527	156	15	above	above	ADV
iajs-2527	156	16	,	,	PUNCT
iajs-2527	156	17	the	the	DET
iajs-2527	156	18	psnr	psnr	NOUN
iajs-2527	156	19	values	value	NOUN
iajs-2527	156	20	for	for	ADP
iajs-2527	156	21	the	the	DET
iajs-2527	156	22	restored	restore	VERB
iajs-2527	156	23	images	image	NOUN
iajs-2527	156	24	using	use	VERB
iajs-2527	156	25	awmf	awmf	NOUN
iajs-2527	156	26	have	have	VERB
iajs-2527	156	27	better	well	ADJ
iajs-2527	156	28	values	value	NOUN
iajs-2527	156	29	compared	compare	VERB
iajs-2527	156	30	with	with	ADP
iajs-2527	156	31	the	the	DET
iajs-2527	156	32	other	other	ADJ
iajs-2527	156	33	values	value	NOUN
iajs-2527	156	34	of	of	ADP
iajs-2527	156	35	psnr	psnr	NOUN
iajs-2527	156	36	.	.	PUNCT
iajs-2527	157	1	the	the	DET
iajs-2527	157	2	evaluation	evaluation	NOUN
iajs-2527	157	3	of	of	ADP
iajs-2527	157	4	performances	performance	NOUN
iajs-2527	157	5	of	of	ADP
iajs-2527	157	6	different	different	ADJ
iajs-2527	157	7	methods	method	NOUN
iajs-2527	157	8	(	(	PUNCT
iajs-2527	157	9	mf	mf	NOUN
iajs-2527	157	10	-	-	PUNCT
iajs-2527	157	11	pca	pca	PROPN
iajs-2527	157	12	,	,	PUNCT
iajs-2527	157	13	hmf	hmf	NOUN
iajs-2527	157	14	-	-	PUNCT
iajs-2527	157	15	pca	pca	PROPN
iajs-2527	157	16	,	,	PUNCT
iajs-2527	157	17	amf	amf	PROPN
iajs-2527	157	18	-	-	PUNCT
iajs-2527	157	19	pca	pca	PROPN
iajs-2527	157	20	,	,	PUNCT
iajs-2527	157	21	and	and	CCONJ
iajs-2527	157	22	awmf	awmf	NOUN
iajs-2527	157	23	-	-	PUNCT
iajs-2527	157	24	pca	pca	NOUN
iajs-2527	157	25	)	)	PUNCT
iajs-2527	157	26	is	be	AUX
iajs-2527	157	27	presented	present	VERB
iajs-2527	157	28	using	use	VERB
iajs-2527	157	29	the	the	DET
iajs-2527	157	30	recognition	recognition	NOUN
iajs-2527	157	31	rate	rate	NOUN
iajs-2527	157	32	for	for	ADP
iajs-2527	157	33	the	the	DET
iajs-2527	157	34	comparison	comparison	NOUN
iajs-2527	157	35	.	.	PUNCT
iajs-2527	158	1	table	table	NOUN
iajs-2527	158	2	5	5	NUM
iajs-2527	158	3	illustrates	illustrate	VERB
iajs-2527	158	4	the	the	DET
iajs-2527	158	5	experimental	experimental	ADJ
iajs-2527	158	6	results	result	NOUN
iajs-2527	158	7	on	on	ADP
iajs-2527	158	8	recognition	recognition	NOUN
iajs-2527	158	9	rates	rate	NOUN
iajs-2527	158	10	for	for	ADP
iajs-2527	158	11	the	the	DET
iajs-2527	158	12	different	different	ADJ
iajs-2527	158	13	face	face	NOUN
iajs-2527	158	14	recognition	recognition	NOUN
iajs-2527	158	15	methods	method	NOUN
iajs-2527	158	16	based	base	VERB
iajs-2527	158	17	on	on	ADP
iajs-2527	158	18	de	de	ADJ
iajs-2527	158	19	-	-	ADJ
iajs-2527	158	20	noising	noising	ADJ
iajs-2527	158	21	filters	filter	NOUN
iajs-2527	158	22	and	and	CCONJ
iajs-2527	158	23	pca	pca	PROPN
iajs-2527	158	24	.	.	PROPN
iajs-2527	158	25	table	table	NOUN
iajs-2527	158	26	5.the	5.the	DET
iajs-2527	158	27	comparison	comparison	NOUN
iajs-2527	158	28	of	of	ADP
iajs-2527	158	29	the	the	DET
iajs-2527	158	30	recognition	recognition	NOUN
iajs-2527	158	31	rate	rate	NOUN
iajs-2527	158	32	of	of	ADP
iajs-2527	158	33	the	the	DET
iajs-2527	158	34	face	face	NOUN
iajs-2527	158	35	recognition	recognition	NOUN
iajs-2527	158	36	based	base	VERB
iajs-2527	158	37	on	on	ADP
iajs-2527	158	38	de	de	ADJ
iajs-2527	158	39	-	-	ADJ
iajs-2527	158	40	noising	noising	ADJ
iajs-2527	158	41	filter	filter	NOUN
iajs-2527	158	42	and	and	CCONJ
iajs-2527	158	43	pca	pca	NOUN
iajs-2527	158	44	from	from	ADP
iajs-2527	158	45	table	table	NOUN
iajs-2527	158	46	5	5	NUM
iajs-2527	158	47	,	,	PUNCT
iajs-2527	158	48	we	we	PRON
iajs-2527	158	49	can	can	AUX
iajs-2527	158	50	see	see	VERB
iajs-2527	158	51	the	the	DET
iajs-2527	158	52	face	face	NOUN
iajs-2527	158	53	recognition	recognition	NOUN
iajs-2527	158	54	based	base	VERB
iajs-2527	158	55	on	on	ADP
iajs-2527	158	56	awmf	awmf	NOUN
iajs-2527	158	57	-	-	PUNCT
iajs-2527	158	58	pca	pca	PROPN
iajs-2527	158	59	and	and	CCONJ
iajs-2527	158	60	amf	amf	PROPN
iajs-2527	158	61	-	-	PUNCT
iajs-2527	158	62	pca	pca	PROPN
iajs-2527	158	63	has	have	VERB
iajs-2527	158	64	greater	great	ADJ
iajs-2527	158	65	values	value	NOUN
iajs-2527	158	66	in	in	ADP
iajs-2527	158	67	the	the	DET
iajs-2527	158	68	recognition	recognition	NOUN
iajs-2527	158	69	rate	rate	NOUN
iajs-2527	158	70	compared	compare	VERB
iajs-2527	158	71	with	with	ADP
iajs-2527	158	72	other	other	ADJ
iajs-2527	158	73	methods	method	NOUN
iajs-2527	158	74	.	.	PUNCT
iajs-2527	159	1	using	use	VERB
iajs-2527	159	2	one	one	NUM
iajs-2527	159	3	of	of	ADP
iajs-2527	159	4	these	these	DET
iajs-2527	159	5	denoising	denoising	NOUN
iajs-2527	159	6	filters	filter	NOUN
iajs-2527	159	7	,	,	PUNCT
iajs-2527	159	8	awmf	awmf	NOUN
iajs-2527	159	9	and	and	CCONJ
iajs-2527	159	10	amf	amf	PROPN
iajs-2527	159	11	,	,	PUNCT
iajs-2527	159	12	as	as	SCONJ
iajs-2527	159	13	preprocessing	preprocesse	VERB
iajs-2527	159	14	step	step	NOUN
iajs-2527	159	15	in	in	ADP
iajs-2527	159	16	face	face	NOUN
iajs-2527	159	17	recognition	recognition	NOUN
iajs-2527	159	18	algorithm	algorithm	NOUN
iajs-2527	159	19	will	will	AUX
iajs-2527	159	20	improve	improve	VERB
iajs-2527	159	21	the	the	DET
iajs-2527	159	22	performance	performance	NOUN
iajs-2527	159	23	of	of	ADP
iajs-2527	159	24	the	the	DET
iajs-2527	159	25	face	face	NOUN
iajs-2527	159	26	recognition	recognition	NOUN
iajs-2527	159	27	under	under	ADP
iajs-2527	159	28	high	high	ADJ
iajs-2527	159	29	-	-	PUNCT
iajs-2527	159	30	density	density	NOUN
iajs-2527	159	31	noise	noise	NOUN
iajs-2527	159	32	.	.	PUNCT
iajs-2527	160	1	the	the	DET
iajs-2527	160	2	face	face	NOUN
iajs-2527	160	3	recognition	recognition	NOUN
iajs-2527	160	4	based	base	VERB
iajs-2527	160	5	on	on	ADP
iajs-2527	160	6	awmf	awmf	NOUN
iajs-2527	160	7	-	-	PUNCT
iajs-2527	160	8	pca	pca	NOUN
iajs-2527	160	9	and	and	CCONJ
iajs-2527	160	10	awmf	awmf	NOUN
iajs-2527	160	11	-	-	PUNCT
iajs-2527	160	12	pca	pca	NOUN
iajs-2527	160	13	gives	give	VERB
iajs-2527	160	14	recognition	recognition	NOUN
iajs-2527	160	15	rate	rate	NOUN
iajs-2527	160	16	values	value	NOUN
iajs-2527	160	17	equal	equal	ADJ
iajs-2527	160	18	100	100	NUM
iajs-2527	160	19	%	%	NOUN
iajs-2527	160	20	under	under	ADP
iajs-2527	160	21	low	low	ADJ
iajs-2527	160	22	and	and	CCONJ
iajs-2527	160	23	high	high	ADJ
iajs-2527	160	24	noise	noise	NOUN
iajs-2527	160	25	densities	density	NOUN
iajs-2527	160	26	.	.	PUNCT
iajs-2527	161	1	7	7	X
iajs-2527	161	2	.	.	X
iajs-2527	161	3	conclusion	conclusion	NOUN
iajs-2527	161	4	in	in	ADP
iajs-2527	161	5	this	this	DET
iajs-2527	161	6	paper	paper	NOUN
iajs-2527	161	7	,	,	PUNCT
iajs-2527	161	8	the	the	DET
iajs-2527	161	9	problem	problem	NOUN
iajs-2527	161	10	of	of	ADP
iajs-2527	161	11	face	face	NOUN
iajs-2527	161	12	recognition	recognition	NOUN
iajs-2527	161	13	for	for	ADP
iajs-2527	161	14	the	the	DET
iajs-2527	161	15	face	face	NOUN
iajs-2527	161	16	’s	’s	PART
iajs-2527	161	17	images	image	NOUN
iajs-2527	161	18	corrupted	corrupt	VERB
iajs-2527	161	19	with	with	ADP
iajs-2527	161	20	highdensity	highdensity	NOUN
iajs-2527	161	21	noise	noise	NOUN
iajs-2527	161	22	has	have	AUX
iajs-2527	161	23	been	be	AUX
iajs-2527	161	24	addressed	address	VERB
iajs-2527	161	25	.	.	PUNCT
iajs-2527	162	1	the	the	DET
iajs-2527	162	2	popular	popular	ADJ
iajs-2527	162	3	noise	noise	NOUN
iajs-2527	162	4	removal	removal	NOUN
iajs-2527	162	5	filters	filter	NOUN
iajs-2527	162	6	(	(	PUNCT
iajs-2527	162	7	median	median	ADJ
iajs-2527	162	8	filter	filter	NOUN
iajs-2527	162	9	,	,	PUNCT
iajs-2527	162	10	hybrid	hybrid	ADJ
iajs-2527	162	11	median	median	ADJ
iajs-2527	162	12	filter	filter	NOUN
iajs-2527	162	13	,	,	PUNCT
iajs-2527	162	14	adaptive	adaptive	ADJ
iajs-2527	162	15	median	median	ADJ
iajs-2527	162	16	filter	filter	NOUN
iajs-2527	162	17	,	,	PUNCT
iajs-2527	162	18	and	and	CCONJ
iajs-2527	162	19	adaptive	adaptive	ADJ
iajs-2527	162	20	weighted	weight	VERB
iajs-2527	162	21	mean	mean	ADJ
iajs-2527	162	22	filter	filter	NOUN
iajs-2527	162	23	)	)	PUNCT
iajs-2527	162	24	were	be	AUX
iajs-2527	162	25	used	use	VERB
iajs-2527	162	26	.	.	PUNCT
iajs-2527	163	1	a	a	DET
iajs-2527	163	2	comparison	comparison	NOUN
iajs-2527	163	3	was	be	AUX
iajs-2527	163	4	made	make	VERB
iajs-2527	163	5	for	for	ADP
iajs-2527	163	6	the	the	DET
iajs-2527	163	7	purpose	purpose	NOUN
iajs-2527	163	8	of	of	ADP
iajs-2527	163	9	finding	find	VERB
iajs-2527	163	10	the	the	DET
iajs-2527	163	11	best	good	ADJ
iajs-2527	163	12	filter	filter	NOUN
iajs-2527	163	13	to	to	PART
iajs-2527	163	14	be	be	AUX
iajs-2527	163	15	used	use	VERB
iajs-2527	163	16	as	as	ADP
iajs-2527	163	17	a	a	DET
iajs-2527	163	18	preprocessing	preprocessing	NOUN
iajs-2527	163	19	step	step	NOUN
iajs-2527	163	20	before	before	ADP
iajs-2527	163	21	the	the	DET
iajs-2527	163	22	face	face	NOUN
iajs-2527	163	23	recognition	recognition	NOUN
iajs-2527	163	24	process	process	NOUN
iajs-2527	163	25	using	use	VERB
iajs-2527	163	26	the	the	DET
iajs-2527	163	27	pca	pca	NOUN
iajs-2527	163	28	and	and	CCONJ
iajs-2527	163	29	matching	matching	NOUN
iajs-2527	163	30	process	process	NOUN
iajs-2527	163	31	.	.	PUNCT
iajs-2527	164	1	numerous	numerous	ADJ
iajs-2527	164	2	studies	study	NOUN
iajs-2527	164	3	have	have	AUX
iajs-2527	164	4	demonstrated	demonstrate	VERB
iajs-2527	164	5	the	the	DET
iajs-2527	164	6	ability	ability	NOUN
iajs-2527	164	7	of	of	ADP
iajs-2527	164	8	the	the	DET
iajs-2527	164	9	pca	pca	NOUN
iajs-2527	164	10	to	to	PART
iajs-2527	164	11	reduce	reduce	VERB
iajs-2527	164	12	noise	noise	NOUN
iajs-2527	164	13	from	from	ADP
iajs-2527	164	14	images	image	NOUN
iajs-2527	164	15	in	in	ADP
iajs-2527	164	16	addition	addition	NOUN
iajs-2527	164	17	to	to	PART
iajs-2527	164	18	reduce	reduce	VERB
iajs-2527	164	19	dimensional	dimensional	ADJ
iajs-2527	164	20	space	space	NOUN
iajs-2527	164	21	.	.	PUNCT
iajs-2527	165	1	results	result	NOUN
iajs-2527	165	2	of	of	ADP
iajs-2527	165	3	comparison	comparison	NOUN
iajs-2527	165	4	between	between	ADP
iajs-2527	165	5	filters	filter	NOUN
iajs-2527	165	6	showed	show	VERB
iajs-2527	165	7	that	that	SCONJ
iajs-2527	165	8	the	the	DET
iajs-2527	165	9	best	good	ADJ
iajs-2527	165	10	performance	performance	NOUN
iajs-2527	165	11	of	of	ADP
iajs-2527	165	12	the	the	DET
iajs-2527	165	13	de	de	ADJ
iajs-2527	165	14	-	-	ADJ
iajs-2527	165	15	noising	noising	ADJ
iajs-2527	165	16	filter	filter	NOUN
iajs-2527	165	17	was	be	AUX
iajs-2527	165	18	the	the	DET
iajs-2527	165	19	adaptive	adaptive	ADJ
iajs-2527	165	20	weighted	weight	VERB
iajs-2527	165	21	mean	mean	NOUN
iajs-2527	166	1	and	and	CCONJ
iajs-2527	166	2	then	then	ADV
iajs-2527	166	3	the	the	DET
iajs-2527	166	4	adaptive	adaptive	ADJ
iajs-2527	166	5	median	median	ADJ
iajs-2527	166	6	filter	filter	NOUN
iajs-2527	166	7	came	come	VERB
iajs-2527	166	8	after	after	SCONJ
iajs-2527	166	9	it	it	PRON
iajs-2527	166	10	compared	compare	VERB
iajs-2527	166	11	with	with	ADP
iajs-2527	166	12	the	the	DET
iajs-2527	166	13	other	other	ADJ
iajs-2527	166	14	two	two	NUM
iajs-2527	166	15	filters	filter	NOUN
iajs-2527	166	16	.	.	PUNCT
iajs-2527	167	1	therefore	therefore	ADV
iajs-2527	167	2	,	,	PUNCT
iajs-2527	167	3	it	it	PRON
iajs-2527	167	4	is	be	AUX
iajs-2527	167	5	possible	possible	ADJ
iajs-2527	167	6	to	to	PART
iajs-2527	167	7	use	use	VERB
iajs-2527	167	8	one	one	NUM
iajs-2527	167	9	of	of	ADP
iajs-2527	167	10	these	these	DET
iajs-2527	167	11	two	two	NUM
iajs-2527	167	12	filters	filter	NOUN
iajs-2527	167	13	as	as	ADP
iajs-2527	167	14	a	a	DET
iajs-2527	167	15	preprocessing	preprocessing	NOUN
iajs-2527	167	16	step	step	NOUN
iajs-2527	167	17	before	before	ADP
iajs-2527	167	18	recognizing	recognize	VERB
iajs-2527	167	19	faces	face	NOUN
iajs-2527	167	20	.	.	PUNCT
iajs-2527	168	1	this	this	PRON
iajs-2527	168	2	will	will	AUX
iajs-2527	168	3	help	help	VERB
iajs-2527	168	4	to	to	PART
iajs-2527	168	5	noise	noise	VERB
iajs-2527	168	6	image	image	NOUN
iajs-2527	168	7	10	10	NUM
iajs-2527	168	8	%	%	NOUN
iajs-2527	168	9	50	50	NUM
iajs-2527	168	10	%	%	NOUN
iajs-2527	168	11	90	90	NUM
iajs-2527	168	12	%	%	NOUN
iajs-2527	168	13	im1	im1	PROPN
iajs-2527	168	14	40.0252	40.0252	NUM
iajs-2527	168	15	34.9009	34.9009	NUM
iajs-2527	168	16	25.6418	25.6418	NUM
iajs-2527	168	17	im2	im2	PROPN
iajs-2527	168	18	41.3485	41.3485	NUM
iajs-2527	168	19	35.8345	35.8345	NUM
iajs-2527	168	20	26.2244	26.2244	NUM
iajs-2527	168	21	im3	im3	PROPN
iajs-2527	168	22	41.8706	41.8706	NUM
iajs-2527	168	23	36.6345	36.6345	NUM
iajs-2527	168	24	27.4689	27.4689	NUM
iajs-2527	168	25	im4	im4	NOUN
iajs-2527	168	26	42.6152	42.6152	NUM
iajs-2527	168	27	37.5417	37.5417	NUM
iajs-2527	168	28	28.2581	28.2581	NUM
iajs-2527	168	29	im5	im5	NOUN
iajs-2527	168	30	39.3059	39.3059	NUM
iajs-2527	168	31	33.8882	33.8882	NUM
iajs-2527	168	32	25.1361	25.1361	NUM
iajs-2527	168	33	im6	im6	PROPN
iajs-2527	168	34	39.5629	39.5629	NUM
iajs-2527	168	35	34.3306	34.3306	NUM
iajs-2527	168	36	24.8526	24.8526	NUM
iajs-2527	168	37	recognition	recognition	NOUN
iajs-2527	168	38	rate	rate	NOUN
iajs-2527	168	39	method	method	NOUN
iajs-2527	168	40	de	de	X
iajs-2527	168	41	-	-	ADJ
iajs-2527	168	42	noising	noising	ADJ
iajs-2527	168	43	corrupted	corrupted	ADJ
iajs-2527	168	44	images	image	NOUN
iajs-2527	168	45	with	with	ADP
iajs-2527	168	46	noise	noise	NOUN
iajs-2527	168	47	10	10	NUM
iajs-2527	168	48	%	%	NOUN
iajs-2527	168	49	de	de	ADJ
iajs-2527	168	50	-	-	ADJ
iajs-2527	168	51	noising	noising	ADJ
iajs-2527	168	52	corrupted	corrupted	ADJ
iajs-2527	168	53	images	image	NOUN
iajs-2527	168	54	with	with	ADP
iajs-2527	168	55	noise	noise	NOUN
iajs-2527	168	56	50	50	NUM
iajs-2527	168	57	%	%	NOUN
iajs-2527	168	58	de	de	NOUN
iajs-2527	168	59	-	-	ADJ
iajs-2527	168	60	noising	noising	ADJ
iajs-2527	168	61	corrupted	corrupted	ADJ
iajs-2527	168	62	images	image	NOUN
iajs-2527	168	63	with	with	ADP
iajs-2527	168	64	noise	noise	NOUN
iajs-2527	168	65	90	90	NUM
iajs-2527	168	66	%	%	NOUN
iajs-2527	168	67	mf	mf	NOUN
iajs-2527	168	68	-	-	ADJ
iajs-2527	168	69	pca	pca	ADJ
iajs-2527	168	70	%	%	NOUN
iajs-2527	168	71	100	100	NUM
iajs-2527	168	72	%	%	NOUN
iajs-2527	168	73	83	83	NUM
iajs-2527	168	74	%	%	NOUN
iajs-2527	168	75	0	0	NUM
iajs-2527	168	76	hmf	hmf	PROPN
iajs-2527	168	77	-	-	PUNCT
iajs-2527	168	78	pca	pca	NOUN
iajs-2527	168	79	%	%	NOUN
iajs-2527	168	80	100	100	NUM
iajs-2527	168	81	%	%	NOUN
iajs-2527	168	82	100	100	NUM
iajs-2527	168	83	%	%	NOUN
iajs-2527	168	84	33	33	NUM
iajs-2527	168	85	amf	amf	PROPN
iajs-2527	168	86	-	-	PUNCT
iajs-2527	168	87	pca	pca	PROPN
iajs-2527	168	88	%	%	NOUN
iajs-2527	168	89	100	100	NUM
iajs-2527	168	90	%	%	NOUN
iajs-2527	168	91	100	100	NUM
iajs-2527	168	92	%	%	NOUN
iajs-2527	168	93	100	100	NUM
iajs-2527	168	94	awmf	awmf	NOUN
iajs-2527	168	95	-	-	PUNCT
iajs-2527	168	96	pca	pca	NOUN
iajs-2527	168	97	%	%	NOUN
iajs-2527	168	98	100	100	NUM
iajs-2527	168	99	%	%	NOUN
iajs-2527	168	100	100	100	NUM
iajs-2527	168	101	%	%	NOUN
iajs-2527	168	102	100	100	NUM
iajs-2527	168	103	      	      	SPACE
iajs-2527	168	104	156	156	NUM
iajs-2527	168	105	  	  	SPACE
iajs-2527	168	106	ibn	ibn	PROPN
iajs-2527	168	107	al	al	PROPN
iajs-2527	168	108	-	-	PUNCT
iajs-2527	168	109	haitham	haitham	PROPN
iajs-2527	168	110	jour	jour	X
iajs-2527	168	111	.	.	PROPN
iajs-2527	169	1	for	for	ADP
iajs-2527	169	2	pure	pure	ADJ
iajs-2527	169	3	&	&	CCONJ
iajs-2527	169	4	appl	appl	PROPN
iajs-2527	169	5	.	.	PUNCT
iajs-2527	170	1	sci	sci	PROPN
iajs-2527	170	2	.	.	PROPN
iajs-2527	171	1	33	33	NUM
iajs-2527	171	2	(	(	PUNCT
iajs-2527	171	3	4	4	NUM
iajs-2527	171	4	)	)	PUNCT
iajs-2527	171	5	2020	2020	NUM
iajs-2527	171	6	improve	improve	VERB
iajs-2527	171	7	the	the	DET
iajs-2527	171	8	face	face	NOUN
iajs-2527	171	9	recognition	recognition	NOUN
iajs-2527	171	10	performance	performance	NOUN
iajs-2527	171	11	in	in	ADP
iajs-2527	171	12	the	the	DET
iajs-2527	171	13	event	event	NOUN
iajs-2527	171	14	that	that	PRON
iajs-2527	171	15	faces	face	VERB
iajs-2527	171	16	images	image	NOUN
iajs-2527	171	17	which	which	PRON
iajs-2527	171	18	are	be	AUX
iajs-2527	171	19	exposed	expose	VERB
iajs-2527	171	20	to	to	ADP
iajs-2527	171	21	high	high	ADJ
iajs-2527	171	22	noise	noise	NOUN
iajs-2527	171	23	.	.	PUNCT
iajs-2527	172	1	in	in	ADP
iajs-2527	172	2	the	the	DET
iajs-2527	172	3	future	future	ADJ
iajs-2527	172	4	work	work	NOUN
iajs-2527	172	5	,	,	PUNCT
iajs-2527	172	6	the	the	DET
iajs-2527	172	7	problem	problem	NOUN
iajs-2527	172	8	of	of	ADP
iajs-2527	172	9	noisy	noisy	ADJ
iajs-2527	172	10	face	face	NOUN
iajs-2527	172	11	image	image	NOUN
iajs-2527	172	12	with	with	ADP
iajs-2527	172	13	high	high	ADJ
iajs-2527	172	14	density	density	NOUN
iajs-2527	172	15	noise	noise	NOUN
iajs-2527	172	16	can	can	AUX
iajs-2527	172	17	be	be	AUX
iajs-2527	172	18	solved	solve	VERB
iajs-2527	172	19	by	by	ADP
iajs-2527	172	20	using	use	VERB
iajs-2527	172	21	deep	deep	ADJ
iajs-2527	172	22	learning	learning	NOUN
iajs-2527	172	23	.	.	PUNCT
iajs-2527	173	1	this	this	PRON
iajs-2527	173	2	will	will	AUX
iajs-2527	173	3	greatly	greatly	ADV
iajs-2527	173	4	enhance	enhance	VERB
iajs-2527	173	5	and	and	CCONJ
iajs-2527	173	6	improve	improve	VERB
iajs-2527	173	7	the	the	DET
iajs-2527	173	8	performance	performance	NOUN
iajs-2527	173	9	of	of	ADP
iajs-2527	173	10	face	face	NOUN
iajs-2527	173	11	recognition	recognition	NOUN
iajs-2527	173	12	under	under	ADP
iajs-2527	173	13	high	high	ADJ
iajs-2527	173	14	-	-	PUNCT
iajs-2527	173	15	density	density	NOUN
iajs-2527	173	16	noise	noise	NOUN
iajs-2527	173	17	.	.	PUNCT
iajs-2527	174	1	acknowledgements	acknowledgement	NOUN
iajs-2527	174	2	in	in	ADP
iajs-2527	174	3	this	this	DET
iajs-2527	174	4	work	work	NOUN
iajs-2527	174	5	,	,	PUNCT
iajs-2527	174	6	the	the	DET
iajs-2527	174	7	database	database	NOUN
iajs-2527	174	8	of	of	ADP
iajs-2527	174	9	face	face	NOUN
iajs-2527	174	10	images	image	NOUN
iajs-2527	174	11	,	,	PUNCT
iajs-2527	174	12	which	which	PRON
iajs-2527	174	13	have	have	AUX
iajs-2527	174	14	been	be	AUX
iajs-2527	174	15	provided	provide	VERB
iajs-2527	174	16	by	by	ADP
iajs-2527	174	17	essex	essex	PROPN
iajs-2527	174	18	university	university	PROPN
iajs-2527	174	19	,	,	PUNCT
iajs-2527	174	20	were	be	AUX
iajs-2527	174	21	used	use	VERB
iajs-2527	174	22	in	in	ADP
iajs-2527	174	23	order	order	NOUN
iajs-2527	174	24	to	to	PART
iajs-2527	174	25	analyze	analyze	VERB
iajs-2527	174	26	the	the	DET
iajs-2527	174	27	behavior	behavior	NOUN
iajs-2527	174	28	of	of	ADP
iajs-2527	174	29	the	the	DET
iajs-2527	174	30	performance	performance	NOUN
iajs-2527	174	31	of	of	ADP
iajs-2527	174	32	the	the	DET
iajs-2527	174	33	face	face	NOUN
iajs-2527	174	34	recognition	recognition	NOUN
iajs-2527	174	35	under	under	ADP
iajs-2527	174	36	high	high	ADJ
iajs-2527	174	37	density	density	NOUN
iajs-2527	174	38	noise	noise	NOUN
iajs-2527	174	39	.	.	PUNCT
iajs-2527	175	1	thanks	thank	NOUN
iajs-2527	175	2	to	to	ADP
iajs-2527	175	3	essex	essex	PROPN
iajs-2527	175	4	university	university	PROPN
iajs-2527	175	5	for	for	ADP
iajs-2527	175	6	supporting	support	VERB
iajs-2527	175	7	the	the	DET
iajs-2527	175	8	researcher	researcher	NOUN
iajs-2527	175	9	.	.	PUNCT
iajs-2527	176	1	references	reference	NOUN
iajs-2527	176	2	1	1	NUM
iajs-2527	176	3	.	.	PUNCT
iajs-2527	177	1	1.jayaraman	1.jayaraman	NUM
iajs-2527	177	2	,	,	PUNCT
iajs-2527	177	3	u.	u.	PROPN
iajs-2527	177	4	;	;	PUNCT
iajs-2527	177	5	gupta	gupta	PROPN
iajs-2527	177	6	,	,	PUNCT
iajs-2527	177	7	p.	p.	NOUN
iajs-2527	177	8	;	;	PUNCT
iajs-2527	177	9	gupta	gupta	PROPN
iajs-2527	177	10	,	,	PUNCT
iajs-2527	177	11	s.	s.	PROPN
iajs-2527	177	12	;	;	PUNCT
iajs-2527	177	13	arora	arora	PROPN
iajs-2527	177	14	,	,	PUNCT
iajs-2527	177	15	g.	g.	PROPN
iajs-2527	177	16	;	;	PUNCT
iajs-2527	177	17	tiwari	tiwari	PROPN
iajs-2527	177	18	,	,	PUNCT
iajs-2527	177	19	k.	k.	PROPN
iajs-2527	178	1	recent	recent	ADJ
iajs-2527	178	2	development	development	NOUN
iajs-2527	178	3	in	in	ADP
iajs-2527	178	4	face	face	NOUN
iajs-2527	178	5	recognition	recognition	NOUN
iajs-2527	178	6	.	.	PUNCT
iajs-2527	179	1	“	"	PUNCT
iajs-2527	179	2	neurocomputing	neurocomputing	NOUN
iajs-2527	179	3	,	,	PUNCT
iajs-2527	179	4	2020	2020	NUM
iajs-2527	179	5	,	,	PUNCT
iajs-2527	179	6	doi.org/10.1016/j.neucom.2019,08,110	doi.org/10.1016/j.neucom.2019,08,110	NOUN
iajs-2527	179	7	.	.	NOUN
iajs-2527	179	8	2	2	NUM
iajs-2527	179	9	.	.	X
iajs-2527	179	10	2.deng	2.deng	NUM
iajs-2527	179	11	,	,	PUNCT
iajs-2527	179	12	x.	x.	PROPN
iajs-2527	179	13	;	;	PUNCT
iajs-2527	179	14	ma	ma	PROPN
iajs-2527	179	15	,	,	PUNCT
iajs-2527	179	16	y.	y.	PROPN
iajs-2527	179	17	;	;	PUNCT
iajs-2527	179	18	dong	dong	PROPN
iajs-2527	179	19	,	,	PUNCT
iajs-2527	179	20	m.	m.	NOUN
iajs-2527	179	21	a	a	DET
iajs-2527	179	22	new	new	ADJ
iajs-2527	179	23	adaptive	adaptive	ADJ
iajs-2527	179	24	filtering	filtering	NOUN
iajs-2527	179	25	method	method	NOUN
iajs-2527	179	26	for	for	ADP
iajs-2527	179	27	removing	remove	VERB
iajs-2527	179	28	salt	salt	NOUN
iajs-2527	179	29	and	and	CCONJ
iajs-2527	179	30	pepper	pepper	NOUN
iajs-2527	179	31	noise	noise	NOUN
iajs-2527	179	32	based	base	VERB
iajs-2527	179	33	on	on	ADP
iajs-2527	179	34	multilayered	multilayered	ADJ
iajs-2527	179	35	pcnn	pcnn	PROPN
iajs-2527	179	36	.	.	PUNCT
iajs-2527	180	1	pattern	pattern	NOUN
iajs-2527	180	2	recognition	recognition	NOUN
iajs-2527	180	3	letters	letter	NOUN
iajs-2527	180	4	,	,	PUNCT
iajs-2527	180	5	2016	2016	NUM
iajs-2527	180	6	,	,	PUNCT
iajs-2527	180	7	79	79	NUM
iajs-2527	180	8	,	,	PUNCT
iajs-2527	180	9	8	8	NUM
iajs-2527	180	10	–	–	SYM
iajs-2527	180	11	17	17	NUM
iajs-2527	180	12	,	,	PUNCT
iajs-2527	180	13	doi	doi	NOUN
iajs-2527	180	14	:	:	PUNCT
iajs-2527	180	15	10.1016	10.1016	NUM
iajs-2527	180	16	/	/	SYM
iajs-2527	180	17	j.patrec.2016,04,019	j.patrec.2016,04,019	PROPN
iajs-2527	180	18	.	.	PROPN
iajs-2527	181	1	3	3	NUM
iajs-2527	181	2	.	.	X
iajs-2527	182	1	3.vyas	3.vyas	NUM
iajs-2527	182	2	,	,	PUNCT
iajs-2527	182	3	aparna	aparna	PROPN
iajs-2527	182	4	,	,	PUNCT
iajs-2527	182	5	soohwan	soohwan	PROPN
iajs-2527	182	6	yu	yu	PROPN
iajs-2527	182	7	,	,	PUNCT
iajs-2527	182	8	and	and	CCONJ
iajs-2527	182	9	joonki	joonki	PROPN
iajs-2527	182	10	paik	paik	PROPN
iajs-2527	182	11	,	,	PUNCT
iajs-2527	182	12	.multiscale	.multiscale	PRON
iajs-2527	182	13	transforms	transform	VERB
iajs-2527	182	14	with	with	ADP
iajs-2527	182	15	application	application	NOUN
iajs-2527	182	16	to	to	ADP
iajs-2527	182	17	image	image	NOUN
iajs-2527	182	18	processing	processing	NOUN
iajs-2527	182	19	.	.	PUNCT
iajs-2527	183	1	springer	springer	PROPN
iajs-2527	183	2	singapore	singapore	PROPN
iajs-2527	183	3	,	,	PUNCT
iajs-2527	183	4	2018	2018	NUM
iajs-2527	183	5	,	,	PUNCT
iajs-2527	183	6	doi.org/10.1007/978-98110-7272-7	doi.org/10.1007/978-98110-7272-7	PROPN
iajs-2527	183	7	.	.	PUNCT
iajs-2527	184	1	4	4	NUM
iajs-2527	184	2	.	.	X
iajs-2527	185	1	4.sreeraj	4.sreeraj	NUM
iajs-2527	185	2	,	,	PUNCT
iajs-2527	185	3	m.	m.	NOUN
iajs-2527	185	4	2015	2015	NUM
iajs-2527	185	5	.	.	PUNCT
iajs-2527	186	1	texture	texture	NOUN
iajs-2527	186	2	based	base	VERB
iajs-2527	186	3	multi	multi	ADJ
iajs-2527	186	4	-	-	ADJ
iajs-2527	186	5	view	view	ADJ
iajs-2527	186	6	face	face	NOUN
iajs-2527	186	7	recognition	recognition	NOUN
iajs-2527	186	8	in	in	ADP
iajs-2527	186	9	noisy	noisy	ADJ
iajs-2527	186	10	images	image	NOUN
iajs-2527	186	11	using	use	VERB
iajs-2527	186	12	brine	brine	NOUN
iajs-2527	186	13	feature	feature	NOUN
iajs-2527	186	14	.	.	PUNCT
iajs-2527	187	1	international	international	ADJ
iajs-2527	187	2	conference	conference	NOUN
iajs-2527	187	3	on	on	ADP
iajs-2527	187	4	computing	computing	NOUN
iajs-2527	187	5	and	and	CCONJ
iajs-2527	187	6	network	network	NOUN
iajs-2527	187	7	communications	communication	NOUN
iajs-2527	187	8	(	(	PUNCT
iajs-2527	187	9	coconet	coconet	NOUN
iajs-2527	187	10	)	)	PUNCT
iajs-2527	187	11	.	.	PUNCT
iajs-2527	188	1	ieee	ieee	PROPN
iajs-2527	188	2	,	,	PUNCT
iajs-2527	188	3	2015	2015	NUM
iajs-2527	188	4	.	.	PUNCT
iajs-2527	189	1	5	5	NUM
iajs-2527	189	2	.	.	X
iajs-2527	190	1	5.ding	5.ding	NUM
iajs-2527	190	2	,	,	PUNCT
iajs-2527	190	3	y.	y.	PROPN
iajs-2527	190	4	;	;	PUNCT
iajs-2527	190	5	cheng	cheng	PROPN
iajs-2527	190	6	,	,	PUNCT
iajs-2527	190	7	y.	y.	PROPN
iajs-2527	190	8	;	;	PUNCT
iajs-2527	190	9	cheng	cheng	PROPN
iajs-2527	190	10	,	,	PUNCT
iajs-2527	190	11	x.	x.	PROPN
iajs-2527	190	12	;	;	PUNCT
iajs-2527	190	13	li	li	PROPN
iajs-2527	190	14	,	,	PUNCT
iajs-2527	190	15	b.	b.	PROPN
iajs-2527	190	16	;	;	PUNCT
iajs-2527	190	17	you	you	PRON
iajs-2527	190	18	,	,	PUNCT
iajs-2527	190	19	x.	x.	PROPN
iajs-2527	190	20	;	;	PUNCT
iajs-2527	190	21	yuan	yuan	NOUN
iajs-2527	190	22	,	,	PUNCT
iajs-2527	190	23	x.	x.	NOUN
iajs-2527	190	24	noise	noise	NOUN
iajs-2527	190	25	-	-	PUNCT
iajs-2527	190	26	resistant	resistant	ADJ
iajs-2527	190	27	network	network	NOUN
iajs-2527	190	28	:	:	PUNCT
iajs-2527	190	29	a	a	DET
iajs-2527	190	30	deep	deep	ADV
iajs-2527	190	31	-	-	PUNCT
iajs-2527	190	32	learning	learn	VERB
iajs-2527	190	33	method	method	NOUN
iajs-2527	190	34	for	for	ADP
iajs-2527	190	35	face	face	NOUN
iajs-2527	190	36	recognition	recognition	NOUN
iajs-2527	190	37	under	under	ADP
iajs-2527	190	38	noise	noise	NOUN
iajs-2527	190	39	.	.	PUNCT
iajs-2527	191	1	eurasip	eurasip	PROPN
iajs-2527	191	2	journal	journal	PROPN
iajs-2527	191	3	on	on	ADP
iajs-2527	191	4	image	image	NOUN
iajs-2527	191	5	and	and	CCONJ
iajs-2527	191	6	video	video	NOUN
iajs-2527	191	7	processing	processing	NOUN
iajs-2527	191	8	,	,	PUNCT
iajs-2527	191	9	2017	2017	NUM
iajs-2527	191	10	,	,	PUNCT
iajs-2527	191	11	doi:10.1186	doi:10.1186	NOUN
iajs-2527	191	12	/	/	SYM
iajs-2527	191	13	s13640	s13640	VERB
iajs-2527	191	14	-	-	PUNCT
iajs-2527	191	15	017	017	NUM
iajs-2527	191	16	-	-	PUNCT
iajs-2527	191	17	0188	0188	NUM
iajs-2527	191	18	-	-	PUNCT
iajs-2527	191	19	z	z	NOUN
iajs-2527	191	20	6	6	NUM
iajs-2527	191	21	.	.	PUNCT
iajs-2527	191	22	6.feifei	6.feifei	NUM
iajs-2527	191	23	,	,	PUNCT
iajs-2527	191	24	s.	s.	PROPN
iajs-2527	191	25	;	;	PUNCT
iajs-2527	191	26	min	min	PROPN
iajs-2527	191	27	,	,	PUNCT
iajs-2527	191	28	h.	h.	PROPN
iajs-2527	191	29	;	;	PUNCT
iajs-2527	191	30	rencan	rencan	ADJ
iajs-2527	191	31	,	,	PUNCT
iajs-2527	191	32	n.	n.	PROPN
iajs-2527	191	33	;	;	PUNCT
iajs-2527	191	34	zhangyong	zhangyong	PROPN
iajs-2527	191	35	,	,	PUNCT
iajs-2527	191	36	w.	w.	PROPN
iajs-2527	191	37	noisy	noisy	PROPN
iajs-2527	191	38	faces	face	VERB
iajs-2527	191	39	recognition	recognition	NOUN
iajs-2527	191	40	based	base	VERB
iajs-2527	191	41	on	on	ADP
iajs-2527	191	42	pcnn	pcnn	PROPN
iajs-2527	191	43	and	and	CCONJ
iajs-2527	191	44	pca	pca	PROPN
iajs-2527	191	45	.	.	PUNCT
iajs-2527	191	46	13th	13th	PROPN
iajs-2527	191	47	ieee	ieee	PROPN
iajs-2527	191	48	international	international	ADJ
iajs-2527	191	49	conference	conference	NOUN
iajs-2527	191	50	on	on	ADP
iajs-2527	191	51	electronic	electronic	ADJ
iajs-2527	191	52	measurement	measurement	NOUN
iajs-2527	191	53	&	&	CCONJ
iajs-2527	191	54	instruments	instrument	NOUN
iajs-2527	191	55	(	(	PUNCT
iajs-2527	191	56	icemi	icemi	NOUN
iajs-2527	191	57	)	)	PUNCT
iajs-2527	191	58	.	.	PUNCT
iajs-2527	192	1	2017	2017	NUM
iajs-2527	192	2	.	.	PUNCT
iajs-2527	193	1	7	7	NUM
iajs-2527	193	2	.	.	X
iajs-2527	193	3	7.berrimi	7.berrimi	NUM
iajs-2527	193	4	,	,	PUNCT
iajs-2527	193	5	fella	fella	PROPN
iajs-2527	193	6	,	,	PUNCT
iajs-2527	193	7	khier	khier	NOUN
iajs-2527	193	8	benmahammed	benmahamme	VERB
iajs-2527	193	9	,	,	PUNCT
iajs-2527	193	10	and	and	CCONJ
iajs-2527	193	11	riadh	riadh	PROPN
iajs-2527	193	12	hedli	hedli	NOUN
iajs-2527	193	13	.	.	PUNCT
iajs-2527	194	1	denoising	denoise	VERB
iajs-2527	194	2	of	of	ADP
iajs-2527	194	3	degraded	degraded	ADJ
iajs-2527	194	4	faces	face	NOUN
iajs-2527	194	5	images	image	NOUN
iajs-2527	194	6	sequence	sequence	NOUN
iajs-2527	194	7	in	in	ADP
iajs-2527	194	8	pca	pca	NOUN
iajs-2527	194	9	domain	domain	NOUN
iajs-2527	194	10	for	for	ADP
iajs-2527	194	11	recognition	recognition	NOUN
iajs-2527	194	12	.	.	PUNCT
iajs-2527	195	1	journal	journal	PROPN
iajs-2527	195	2	of	of	ADP
iajs-2527	195	3	king	king	PROPN
iajs-2527	195	4	saud	saud	PROPN
iajs-2527	195	5	universitycomputer	universitycomputer	PROPN
iajs-2527	195	6	and	and	CCONJ
iajs-2527	195	7	information	information	NOUN
iajs-2527	195	8	sciences	science	NOUN
iajs-2527	195	9	.	.	PUNCT
iajs-2527	196	1	2019	2019	NUM
iajs-2527	196	2	,	,	PUNCT
iajs-2527	196	3	doi.org/10,1016/j.jksuci.2019.04,014	doi.org/10,1016/j.jksuci.2019.04,014	NOUN
iajs-2527	196	4	.	.	NOUN
iajs-2527	196	5	8	8	NUM
iajs-2527	196	6	.	.	X
iajs-2527	196	7	8.görgel	8.görgel	NUM
iajs-2527	196	8	,	,	PUNCT
iajs-2527	196	9	pelin	pelin	PROPN
iajs-2527	196	10	.	.	PUNCT
iajs-2527	196	11	;	;	PUNCT
iajs-2527	196	12	ahmet	ahmet	PROPN
iajs-2527	196	13	simsek	simsek	PROPN
iajs-2527	196	14	.	.	PUNCT
iajs-2527	197	1	2019	2019	NUM
iajs-2527	197	2	.	.	PUNCT
iajs-2527	198	1	face	face	NOUN
iajs-2527	198	2	recognition	recognition	NOUN
iajs-2527	198	3	via	via	ADP
iajs-2527	198	4	deep	deep	ADJ
iajs-2527	198	5	stacked	stack	VERB
iajs-2527	198	6	denoising	denoise	VERB
iajs-2527	198	7	sparse	sparse	ADJ
iajs-2527	198	8	autoencoders	autoencoder	NOUN
iajs-2527	198	9	(	(	PUNCT
iajs-2527	198	10	dsdsa	dsdsa	INTJ
iajs-2527	198	11	)	)	PUNCT
iajs-2527	198	12	.	.	PUNCT
iajs-2527	199	1	applied	apply	VERB
iajs-2527	199	2	mathematics	mathematic	NOUN
iajs-2527	199	3	and	and	CCONJ
iajs-2527	199	4	computation	computation	NOUN
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iajs-2527	199	6	2019	2019	NUM
iajs-2527	199	7	:	:	PUNCT
iajs-2527	199	8	325	325	NUM
iajs-2527	199	9	-	-	SYM
iajs-2527	199	10	342	342	NUM
iajs-2527	199	11	.	.	PUNCT
iajs-2527	199	12	 	 	SPACE
iajs-2527	199	13	9.görgel	9.görgel	NUM
iajs-2527	199	14	,	,	PUNCT
iajs-2527	199	15	p.	p.	NOUN
iajs-2527	199	16	;	;	PUNCT
iajs-2527	199	17	simsek	simsek	NOUN
iajs-2527	199	18	,	,	PUNCT
iajs-2527	199	19	a.	a.	NOUN
iajs-2527	199	20	2019	2019	NUM
iajs-2527	199	21	.	.	PUNCT
iajs-2527	200	1	face	face	NOUN
iajs-2527	200	2	recognition	recognition	NOUN
iajs-2527	200	3	via	via	ADP
iajs-2527	200	4	deep	deep	ADJ
iajs-2527	200	5	stacked	stack	VERB
iajs-2527	200	6	denoising	denoise	VERB
iajs-2527	200	7	sparse	sparse	ADJ
iajs-2527	200	8	autoencoders	autoencoder	NOUN
iajs-2527	200	9	(	(	PUNCT
iajs-2527	200	10	dsdsa	dsdsa	INTJ
iajs-2527	200	11	)	)	PUNCT
iajs-2527	200	12	.	.	PUNCT
iajs-2527	201	1	applied	apply	VERB
iajs-2527	201	2	mathematics	mathematic	NOUN
iajs-2527	201	3	and	and	CCONJ
iajs-2527	201	4	computation	computation	NOUN
iajs-2527	201	5	,	,	PUNCT
iajs-2527	201	6	355	355	NUM
iajs-2527	201	7	,	,	PUNCT
iajs-2527	201	8	325	325	NUM
iajs-2527	201	9	–	–	PUNCT
iajs-2527	201	10	342	342	NUM
iajs-2527	201	11	,	,	PUNCT
iajs-2527	201	12	doi:10.1016	doi:10.1016	PROPN
iajs-2527	201	13	/	/	SYM
iajs-2527	201	14	j.amc.2019.02.071	j.amc.2019.02.071	PROPN
iajs-2527	201	15	.	.	PUNCT
iajs-2527	202	1	9	9	X
iajs-2527	202	2	.	.	X
iajs-2527	203	1	10.george	10.george	NUM
iajs-2527	203	2	,	,	PUNCT
iajs-2527	203	3	g.	g.	PROPN
iajs-2527	203	4	;	;	PUNCT
iajs-2527	203	5	oommen	oommen	PROPN
iajs-2527	203	6	,	,	PUNCT
iajs-2527	203	7	r.	r.	PROPN
iajs-2527	203	8	m.	m.	PROPN
iajs-2527	203	9	;	;	PUNCT
iajs-2527	203	10	shelly	shelly	ADV
iajs-2527	203	11	,	,	PUNCT
iajs-2527	203	12	s.	s.	PROPN
iajs-2527	203	13	;	;	PUNCT
iajs-2527	203	14	philipose	philipose	VERB
iajs-2527	203	15	,	,	PUNCT
iajs-2527	203	16	s.	s.	PROPN
iajs-2527	203	17	s.	s.	PROPN
iajs-2527	203	18	;	;	PUNCT
iajs-2527	204	1	varghese	varghese	PROPN
iajs-2527	204	2	,	,	PUNCT
iajs-2527	204	3	a.	a.	NOUN
iajs-2527	204	4	m.	m.	NOUN
iajs-2527	204	5	a	a	DET
iajs-2527	204	6	survey	survey	NOUN
iajs-2527	204	7	on	on	ADP
iajs-2527	204	8	various	various	ADJ
iajs-2527	204	9	median	median	ADJ
iajs-2527	204	10	filtering	filtering	NOUN
iajs-2527	204	11	techniques	technique	NOUN
iajs-2527	204	12	for	for	ADP
iajs-2527	204	13	removal	removal	NOUN
iajs-2527	204	14	of	of	ADP
iajs-2527	204	15	impulse	impulse	ADJ
iajs-2527	204	16	noise	noise	NOUN
iajs-2527	204	17	from	from	ADP
iajs-2527	204	18	digital	digital	ADJ
iajs-2527	204	19	image	image	NOUN
iajs-2527	204	20	.	.	PUNCT
iajs-2527	205	1	in	in	ADP
iajs-2527	205	2	2018	2018	NUM
iajs-2527	205	3	conference	conference	NOUN
iajs-2527	205	4	on	on	ADP
iajs-2527	205	5	emerging	emerge	VERB
iajs-2527	205	6	devices	device	NOUN
iajs-2527	205	7	and	and	CCONJ
iajs-2527	205	8	smart	smart	ADJ
iajs-2527	205	9	systems	system	NOUN
iajs-2527	205	10	(	(	PUNCT
iajs-2527	205	11	icedss	icedss	NOUN
iajs-2527	205	12	)	)	PUNCT
iajs-2527	205	13	(	(	PUNCT
iajs-2527	205	14	235238	235238	NUM
iajs-2527	205	15	)	)	PUNCT
iajs-2527	205	16	.	.	PUNCT
iajs-2527	206	1	ieee	ieee	PROPN
iajs-2527	206	2	.	.	PUNCT
iajs-2527	206	3	2018	2018	NUM
iajs-2527	206	4	.	.	PUNCT
iajs-2527	207	1	10	10	NUM
iajs-2527	207	2	.	.	X
iajs-2527	208	1	wenpeng	wenpeng	PROPN
iajs-2527	208	2	,	,	PUNCT
iajs-2527	208	3	zhang	zhang	PROPN
iajs-2527	208	4	,	,	PUNCT
iajs-2527	208	5	ed	ed	PROPN
iajs-2527	208	6	.	.	PROPN
iajs-2527	208	7	scientia	scientia	PROPN
iajs-2527	208	8	magna	magna	PROPN
iajs-2527	208	9	,	,	PUNCT
iajs-2527	208	10	2011	2011	NUM
iajs-2527	208	11	.	.	PUNCT
iajs-2527	209	1	international	international	ADJ
iajs-2527	209	2	book	book	NOUN
iajs-2527	209	3	series	series	NOUN
iajs-2527	209	4	.	.	PUNCT
iajs-2527	210	1	infinite	infinite	ADJ
iajs-2527	210	2	study	study	NOUN
iajs-2527	210	3	.	.	PUNCT
iajs-2527	211	1	7	7	NUM
iajs-2527	211	2	,	,	PUNCT
iajs-2527	211	3	4	4	NUM
iajs-2527	211	4	.	.	NOUN
iajs-2527	211	5	2012	2012	NUM
iajs-2527	211	6	.	.	PUNCT
iajs-2527	211	7	      	      	SPACE
iajs-2527	212	1	157	157	NUM
iajs-2527	212	2	  	  	SPACE
iajs-2527	212	3	ibn	ibn	PROPN
iajs-2527	212	4	al	al	PROPN
iajs-2527	212	5	-	-	PUNCT
iajs-2527	212	6	haitham	haitham	PROPN
iajs-2527	212	7	jour	jour	X
iajs-2527	212	8	.	.	PROPN
iajs-2527	212	9	for	for	ADP
iajs-2527	212	10	pure	pure	ADJ
iajs-2527	212	11	&	&	CCONJ
iajs-2527	212	12	appl	appl	PROPN
iajs-2527	212	13	.	.	PUNCT
iajs-2527	213	1	sci	sci	PROPN
iajs-2527	213	2	.	.	PROPN
iajs-2527	214	1	33	33	NUM
iajs-2527	214	2	(	(	PUNCT
iajs-2527	214	3	4	4	NUM
iajs-2527	214	4	)	)	PUNCT
iajs-2527	214	5	2020	2020	NUM
iajs-2527	214	6	11	11	NUM
iajs-2527	214	7	.	.	PUNCT
iajs-2527	215	1	11.habeeb	11.habeeb	PROPN
iajs-2527	215	2	,	,	PUNCT
iajs-2527	215	3	nada	nada	PROPN
iajs-2527	215	4	jasim	jasim	PROPN
iajs-2527	215	5	.	.	PUNCT
iajs-2527	216	1	comparative	comparative	ADJ
iajs-2527	216	2	analysis	analysis	NOUN
iajs-2527	216	3	of	of	ADP
iajs-2527	216	4	median	median	ADJ
iajs-2527	216	5	filter	filter	NOUN
iajs-2527	216	6	family	family	NOUN
iajs-2527	216	7	for	for	ADP
iajs-2527	216	8	removing	remove	VERB
iajs-2527	216	9	high	high	ADJ
iajs-2527	216	10	-	-	PUNCT
iajs-2527	216	11	density	density	NOUN
iajs-2527	216	12	noise	noise	NOUN
iajs-2527	216	13	in	in	ADP
iajs-2527	216	14	magnetic	magnetic	ADJ
iajs-2527	216	15	resonance	resonance	NOUN
iajs-2527	216	16	images	image	NOUN
iajs-2527	216	17	.	.	PUNCT
iajs-2527	217	1	iraqi	iraqi	ADJ
iajs-2527	217	2	journal	journal	PROPN
iajs-2527	217	3	of	of	ADP
iajs-2527	217	4	science	science	NOUN
iajs-2527	217	5	2019	2019	NUM
iajs-2527	217	6	,	,	PUNCT
iajs-2527	217	7	2246	2246	NUM
iajs-2527	217	8	-	-	SYM
iajs-2527	217	9	2256	2256	NUM
iajs-2527	217	10	,	,	PUNCT
iajs-2527	217	11	doi	doi	NOUN
iajs-2527	217	12	:	:	PUNCT
iajs-2527	217	13	10.24996	10.24996	NUM
iajs-2527	217	14	/	/	SYM
iajs-2527	217	15	ijs.2019,60,10,19	ijs.2019,60,10,19	NOUN
iajs-2527	217	16	.	.	PUNCT
iajs-2527	218	1	12	12	NUM
iajs-2527	218	2	.	.	PUNCT
iajs-2527	219	1	12.zhang	12.zhang	NUM
iajs-2527	219	2	,	,	PUNCT
iajs-2527	219	3	peixuan	peixuan	PROPN
iajs-2527	219	4	.	.	PUNCT
iajs-2527	219	5	;	;	PUNCT
iajs-2527	220	1	fang	fang	PROPN
iajs-2527	220	2	li	li	PROPN
iajs-2527	220	3	.	.	PUNCT
iajs-2527	221	1	a	a	DET
iajs-2527	221	2	new	new	ADJ
iajs-2527	221	3	adaptive	adaptive	NOUN
iajs-2527	221	4	weighted	weight	VERB
iajs-2527	221	5	mean	mean	ADJ
iajs-2527	221	6	filter	filter	NOUN
iajs-2527	221	7	for	for	ADP
iajs-2527	221	8	removing	remove	VERB
iajs-2527	221	9	saltand	saltand	ADJ
iajs-2527	221	10	-	-	PUNCT
iajs-2527	221	11	pepper	pepper	NOUN
iajs-2527	221	12	noise	noise	NOUN
iajs-2527	221	13	.	.	PUNCT
iajs-2527	222	1	ieee	ieee	NOUN
iajs-2527	222	2	signal	signal	NOUN
iajs-2527	222	3	processing	processing	NOUN
iajs-2527	222	4	letters	letter	NOUN
iajs-2527	222	5	21.10	21.10	NUM
iajs-2527	222	6	2014	2014	NUM
iajs-2527	222	7	,	,	PUNCT
iajs-2527	222	8	1280	1280	NUM
iajs-2527	222	9	-	-	SYM
iajs-2527	222	10	1283	1283	NUM
iajs-2527	222	11	,	,	PUNCT
iajs-2527	222	12	doi	doi	NOUN
iajs-2527	222	13	:	:	PUNCT
iajs-2527	222	14	10.1109	10.1109	NUM
iajs-2527	222	15	/	/	SYM
iajs-2527	222	16	lsp.2014.2333012	lsp.2014.2333012	PROPN
iajs-2527	222	17	.	.	PROPN
iajs-2527	222	18	13	13	NUM
iajs-2527	222	19	.	.	PUNCT
iajs-2527	223	1	13.ding	13.ding	NUM
iajs-2527	223	2	,	,	PUNCT
iajs-2527	223	3	shifei	shifei	NOUN
iajs-2527	223	4	,	,	PUNCT
iajs-2527	223	5	ding	ding	NOUN
iajs-2527	223	6	,	,	PUNCT
iajs-2527	223	7	s.	s.	PROPN
iajs-2527	223	8	;	;	PUNCT
iajs-2527	223	9	zhu	zhu	PROPN
iajs-2527	223	10	,	,	PUNCT
iajs-2527	223	11	h.	h.	PROPN
iajs-2527	223	12	;	;	PUNCT
iajs-2527	223	13	jia	jia	PROPN
iajs-2527	223	14	,	,	PUNCT
iajs-2527	223	15	w.;su	w.;su	NOUN
iajs-2527	223	16	,	,	PUNCT
iajs-2527	223	17	c.	c.	PROPN
iajs-2527	223	18	a	a	DET
iajs-2527	223	19	survey	survey	NOUN
iajs-2527	223	20	on	on	ADP
iajs-2527	223	21	feature	feature	NOUN
iajs-2527	223	22	extraction	extraction	NOUN
iajs-2527	223	23	for	for	ADP
iajs-2527	223	24	pattern	pattern	NOUN
iajs-2527	223	25	recognition	recognition	NOUN
iajs-2527	223	26	.	.	PUNCT
iajs-2527	224	1	artificial	artificial	ADJ
iajs-2527	224	2	intelligence	intelligence	NOUN
iajs-2527	224	3	review	review	NOUN
iajs-2527	224	4	37.3	37.3	NUM
iajs-2527	224	5	2012	2012	NUM
iajs-2527	224	6	,	,	PUNCT
iajs-2527	224	7	169	169	NUM
iajs-2527	224	8	-	-	SYM
iajs-2527	224	9	180	180	NUM
iajs-2527	224	10	,	,	PUNCT
iajs-2527	224	11	doi.org/10.1007/s10462-011-9225-y	doi.org/10.1007/s10462-011-9225-y	NUM
iajs-2527	224	12	.	.	PUNCT
iajs-2527	224	13	14	14	NUM
iajs-2527	224	14	.	.	PUNCT
iajs-2527	225	1	kumar	kumar	PROPN
iajs-2527	225	2	,	,	PUNCT
iajs-2527	225	3	santosh	santosh	PROPN
iajs-2527	225	4	,	,	PUNCT
iajs-2527	225	5	singh	singh	PROPN
iajs-2527	225	6	,	,	PUNCT
iajs-2527	225	7	s.	s.	PROPN
iajs-2527	225	8	k.	k.	PROPN
iajs-2527	225	9	;	;	PUNCT
iajs-2527	225	10	singh	singh	PROPN
iajs-2527	225	11	,	,	PUNCT
iajs-2527	225	12	r	r	NOUN
iajs-2527	225	13	;	;	PUNCT
iajs-2527	225	14	singh	singh	PROPN
iajs-2527	225	15	,	,	PUNCT
iajs-2527	225	16	a.	a.	NOUN
iajs-2527	225	17	k.	k.	PROPN
iajs-2527	225	18	animal	animal	NOUN
iajs-2527	225	19	biometrics	biometric	NOUN
iajs-2527	225	20	:	:	PUNCT
iajs-2527	225	21	techniques	technique	NOUN
iajs-2527	225	22	and	and	CCONJ
iajs-2527	225	23	applications	application	NOUN
iajs-2527	225	24	.	.	PUNCT
iajs-2527	226	1	springer	springer	NOUN
iajs-2527	226	2	,	,	PUNCT
iajs-2527	226	3	2018	2018	NUM
iajs-2527	226	4	,	,	PUNCT
iajs-2527	226	5	doi	doi	NOUN
iajs-2527	226	6	:	:	PUNCT
iajs-2527	226	7	10.1007/978	10.1007/978	NUM
iajs-2527	226	8	-	-	SYM
iajs-2527	226	9	981	981	NUM
iajs-2527	226	10	-	-	PUNCT
iajs-2527	226	11	10	10	NUM
iajs-2527	226	12	-	-	PUNCT
iajs-2527	226	13	7956	7956	NUM
iajs-2527	226	14	-	-	SYM
iajs-2527	226	15	6	6	NUM
iajs-2527	226	16	.	.	NOUN
iajs-2527	226	17	15	15	NUM
iajs-2527	226	18	.	.	PUNCT
iajs-2527	227	1	14.najab	14.najab	NUM
iajs-2527	227	2	,	,	PUNCT
iajs-2527	227	3	abida	abida	PROPN
iajs-2527	227	4	,	,	PUNCT
iajs-2527	227	5	et	et	PROPN
iajs-2527	227	6	al	al	PROPN
iajs-2527	227	7	.	.	PUNCT
iajs-2527	228	1	classification	classification	NOUN
iajs-2527	228	2	of	of	ADP
iajs-2527	228	3	settlements	settlement	NOUN
iajs-2527	228	4	in	in	ADP
iajs-2527	228	5	satellite	satellite	NOUN
iajs-2527	228	6	images	image	NOUN
iajs-2527	228	7	using	use	VERB
iajs-2527	228	8	holistic	holistic	ADJ
iajs-2527	228	9	feature	feature	NOUN
iajs-2527	228	10	extraction	extraction	NOUN
iajs-2527	228	11	.	.	PUNCT
iajs-2527	229	1	2010	2010	NUM
iajs-2527	229	2	12th	12th	NOUN
iajs-2527	229	3	international	international	ADJ
iajs-2527	229	4	conference	conference	NOUN
iajs-2527	229	5	on	on	ADP
iajs-2527	229	6	computer	computer	NOUN
iajs-2527	229	7	modelling	modelling	NOUN
iajs-2527	229	8	and	and	CCONJ
iajs-2527	229	9	simulation	simulation	NOUN
iajs-2527	229	10	.	.	PUNCT
iajs-2527	230	1	ieee	ieee	PROPN
iajs-2527	230	2	,	,	PUNCT
iajs-2527	230	3	2010	2010	NUM
iajs-2527	230	4	.	.	PUNCT
iajs-2527	231	1	16	16	NUM
iajs-2527	231	2	.	.	PUNCT
iajs-2527	232	1	15.pathan	15.pathan	NUM
iajs-2527	232	2	,	,	PUNCT
iajs-2527	232	3	al	al	PROPN
iajs-2527	232	4	-	-	PUNCT
iajs-2527	232	5	sakib	sakib	NOUN
iajs-2527	232	6	khan	khan	PROPN
iajs-2527	232	7	,	,	PUNCT
iajs-2527	232	8	ed	ed	PROPN
iajs-2527	232	9	.	.	PROPN
iajs-2527	232	10	crowd	crowd	PROPN
iajs-2527	232	11	assisted	assist	VERB
iajs-2527	232	12	networking	networking	NOUN
iajs-2527	232	13	and	and	CCONJ
iajs-2527	232	14	computing	computing	NOUN
iajs-2527	232	15	.	.	PUNCT
iajs-2527	233	1	crc	crc	PROPN
iajs-2527	233	2	press	press	PROPN
iajs-2527	233	3	,	,	PUNCT
iajs-2527	233	4	2018	2018	NUM
iajs-2527	233	5	.	.	PUNCT
iajs-2527	234	1	17	17	NUM
iajs-2527	234	2	.	.	PUNCT
iajs-2527	235	1	camastra	camastra	ADJ
iajs-2527	235	2	,	,	PUNCT
iajs-2527	235	3	francesco	francesco	PROPN
iajs-2527	235	4	,	,	PUNCT
iajs-2527	235	5	and	and	CCONJ
iajs-2527	235	6	alessandro	alessandro	PROPN
iajs-2527	235	7	vinciarelli	vinciarelli	PROPN
iajs-2527	235	8	.	.	PUNCT
iajs-2527	236	1	machine	machine	NOUN
iajs-2527	236	2	learning	learn	VERB
iajs-2527	236	3	for	for	ADP
iajs-2527	236	4	audio	audio	NOUN
iajs-2527	236	5	,	,	PUNCT
iajs-2527	236	6	image	image	NOUN
iajs-2527	236	7	and	and	CCONJ
iajs-2527	236	8	video	video	NOUN
iajs-2527	236	9	analysis	analysis	NOUN
iajs-2527	236	10	:	:	PUNCT
iajs-2527	236	11	theory	theory	NOUN
iajs-2527	236	12	and	and	CCONJ
iajs-2527	236	13	applications	application	NOUN
iajs-2527	236	14	.	.	PUNCT
iajs-2527	237	1	springer	springer	NOUN
iajs-2527	237	2	,	,	PUNCT
iajs-2527	237	3	2015	2015	NUM
iajs-2527	237	4	,	,	PUNCT
iajs-2527	237	5	doi:10,1007/978	doi:10,1007/978	NOUN
iajs-2527	237	6	-	-	PUNCT
iajs-2527	237	7	1	1	NUM
iajs-2527	237	8	-	-	PUNCT
iajs-2527	237	9	84800007	84800007	NUM
iajs-2527	237	10	-	-	SYM
iajs-2527	237	11	0	0	NUM
iajs-2527	237	12	.	.	NOUN
iajs-2527	237	13	18	18	NUM
iajs-2527	237	14	.	.	PUNCT
iajs-2527	238	1	16.sun	16.sun	PROPN
iajs-2527	238	2	,	,	PUNCT
iajs-2527	238	3	zhenan	zhenan	PROPN
iajs-2527	238	4	,	,	PUNCT
iajs-2527	238	5	he	he	PRON
iajs-2527	238	6	,	,	PUNCT
iajs-2527	238	7	r.	r.	PROPN
iajs-2527	238	8	;	;	PUNCT
iajs-2527	238	9	feng	feng	PROPN
iajs-2527	238	10	,	,	PUNCT
iajs-2527	238	11	j.	j.	PROPN
iajs-2527	238	12	;	;	PUNCT
iajs-2527	238	13	shan	shan	PROPN
iajs-2527	238	14	,	,	PUNCT
iajs-2527	238	15	s.	s.	PROPN
iajs-2527	238	16	;	;	PUNCT
iajs-2527	238	17	guo	guo	PROPN
iajs-2527	238	18	,	,	PUNCT
iajs-2527	238	19	z.	z.	PROPN
iajs-2527	238	20	(	(	PUNCT
iajs-2527	238	21	eds	eds	PROPN
iajs-2527	238	22	.	.	PUNCT
iajs-2527	238	23	)	)	PUNCT
iajs-2527	238	24	.	.	PUNCT
iajs-2527	239	1	biometric	biometric	ADJ
iajs-2527	239	2	recognition	recognition	NOUN
iajs-2527	239	3	:	:	PUNCT
iajs-2527	239	4	14th	14th	ADJ
iajs-2527	239	5	chinese	chinese	ADJ
iajs-2527	239	6	conference	conference	NOUN
iajs-2527	239	7	,	,	PUNCT
iajs-2527	239	8	ccbr	ccbr	NOUN
iajs-2527	239	9	2019	2019	NUM
iajs-2527	239	10	,	,	PUNCT
iajs-2527	239	11	zhuzhou	zhuzhou	VERB
iajs-2527	239	12	,	,	PUNCT
iajs-2527	239	13	china	china	PROPN
iajs-2527	239	14	,	,	PUNCT
iajs-2527	239	15	october	october	PROPN
iajs-2527	239	16	12	12	NUM
iajs-2527	239	17	-	-	SYM
iajs-2527	239	18	13	13	NUM
iajs-2527	239	19	,	,	PUNCT
iajs-2527	239	20	2019	2019	NUM
iajs-2527	239	21	,	,	PUNCT
iajs-2527	239	22	proceedings	proceeding	NOUN
iajs-2527	239	23	.	.	PUNCT
iajs-2527	240	1	11818	11818	NUM
iajs-2527	240	2	.	.	PUNCT
iajs-2527	241	1	springer	springer	NOUN
iajs-2527	241	2	nature	nature	NOUN
iajs-2527	241	3	,	,	PUNCT
iajs-2527	241	4	2019	2019	NUM
iajs-2527	241	5	.	.	PUNCT
iajs-2527	242	1	19	19	NUM
iajs-2527	242	2	.	.	PUNCT
iajs-2527	243	1	17.tan	17.tan	PROPN
iajs-2527	243	2	,	,	PUNCT
iajs-2527	243	3	tieniu	tieniu	NOUN
iajs-2527	243	4	,	,	PUNCT
iajs-2527	243	5	li	li	PROPN
iajs-2527	243	6	,	,	PUNCT
iajs-2527	243	7	x.	x.	PROPN
iajs-2527	243	8	;	;	PUNCT
iajs-2527	243	9	chen	chen	PROPN
iajs-2527	243	10	,	,	PUNCT
iajs-2527	243	11	x.	x.	PROPN
iajs-2527	243	12	;	;	PUNCT
iajs-2527	243	13	zhou	zhou	PROPN
iajs-2527	243	14	,	,	PUNCT
iajs-2527	243	15	j.	j.	PROPN
iajs-2527	243	16	;	;	PUNCT
iajs-2527	243	17	yang	yang	PROPN
iajs-2527	243	18	,	,	PUNCT
iajs-2527	243	19	j.	j.	PROPN
iajs-2527	243	20	;	;	PUNCT
iajs-2527	243	21	cheng	cheng	PROPN
iajs-2527	243	22	,	,	PUNCT
iajs-2527	243	23	h.	h.	PROPN
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iajs-2527	244	3	:	:	PUNCT
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iajs-2527	244	7	,	,	PUNCT
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iajs-2527	244	10	,	,	PUNCT
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iajs-2527	244	19	,	,	PUNCT
iajs-2527	244	20	2016	2016	NUM
iajs-2527	244	21	,	,	PUNCT
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iajs-2527	244	23	..	..	PUNCT
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iajs-2527	245	2	.	.	PUNCT
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iajs-2527	245	4	,	,	PUNCT
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iajs-2527	245	6	.	.	PUNCT
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iajs-2527	246	2	.	.	PUNCT
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iajs-2527	247	2	,	,	PUNCT
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iajs-2527	247	10	.	.	PUNCT
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iajs-2527	248	13	.	.	PUNCT
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iajs-2527	249	7	biomedical	biomedical	ADJ
iajs-2527	249	8	sciences	science	NOUN
iajs-2527	249	9	(	(	PUNCT
iajs-2527	249	10	iciibms	iciibms	NOUN
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iajs-2527	249	12	.	.	PUNCT
iajs-2527	250	1	3	3	X
iajs-2527	250	2	.	.	X
iajs-2527	250	3	ieee	ieee	NOUN
iajs-2527	250	4	.	.	PUNCT
iajs-2527	251	1	11	11	NUM
iajs-2527	251	2	.	.	X
iajs-2527	252	1	2018	2018	NUM
iajs-2527	252	2	.	.	PUNCT
iajs-2527	253	1	21	21	NUM
iajs-2527	253	2	.	.	PUNCT
iajs-2527	254	1	19.jolliffe	19.jolliffe	NUM
iajs-2527	254	2	,	,	PUNCT
iajs-2527	254	3	ian	ian	PROPN
iajs-2527	254	4	t	t	PROPN
iajs-2527	254	5	,	,	PUNCT
iajs-2527	254	6	;	;	PUNCT
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iajs-2527	254	8	cadima	cadima	PROPN
iajs-2527	254	9	.	.	PUNCT
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iajs-2527	255	2	component	component	NOUN
iajs-2527	255	3	analysis	analysis	NOUN
iajs-2527	255	4	:	:	PUNCT
iajs-2527	255	5	a	a	DET
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iajs-2527	255	10	.	.	PUNCT
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iajs-2527	256	6	society	society	NOUN
iajs-2527	256	7	a	a	DET
iajs-2527	256	8	:	:	PUNCT
iajs-2527	256	9	mathematical	mathematical	ADJ
iajs-2527	256	10	,	,	PUNCT
iajs-2527	256	11	physical	physical	ADJ
iajs-2527	256	12	and	and	CCONJ
iajs-2527	256	13	engineering	engineering	NOUN
iajs-2527	256	14	sciences	science	NOUN
iajs-2527	256	15	374.2065	374.2065	NUM
iajs-2527	256	16	,	,	PUNCT
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iajs-2527	256	18	:	:	PUNCT
iajs-2527	256	19	20150202	20150202	NUM
iajs-2527	256	20	.	.	PUNCT
iajs-2527	257	1	,	,	PUNCT
iajs-2527	257	2	  	  	SPACE
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iajs-2527	258	2	.	.	PUNCT
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iajs-2527	259	2	,	,	PUNCT
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iajs-2527	259	4	;	;	PUNCT
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iajs-2527	259	6	,	,	PUNCT
iajs-2527	259	7	s	s	PROPN
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iajs-2527	259	9	a	a	DET
iajs-2527	259	10	review	review	NOUN
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iajs-2527	259	18	.	.	PUNCT
iajs-2527	260	1	procedia	procedia	PROPN
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iajs-2527	260	4	,	,	PUNCT
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iajs-2527	260	6	,	,	PUNCT
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iajs-2527	260	8	,	,	PUNCT
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iajs-2527	260	10	,	,	PUNCT
iajs-2527	260	11	 	 	SPACE
iajs-2527	260	12	doi	doi	NOUN
iajs-2527	260	13	:	:	PUNCT
iajs-2527	260	14	10.5772/18251	10.5772/18251	NUM
iajs-2527	260	15	,	,	PUNCT
iajs-2527	260	16	doi.org/10.1016/j.procs.2020,01,079	doi.org/10.1016/j.procs.2020,01,079	PROPN
iajs-2527	260	17	.	.	PROPN
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iajs-2527	260	19	.	.	PUNCT
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iajs-2527	261	2	,	,	PUNCT
iajs-2527	261	3	i.	i.	PROPN
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iajs-2527	261	9	.	.	PUNCT
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iajs-2527	262	9	.	.	PUNCT
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iajs-2527	263	12	,	,	PUNCT
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iajs-2527	264	2	,	,	PUNCT
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iajs-2527	266	2	.	.	X
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iajs-2527	267	2	,	,	PUNCT
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iajs-2527	268	8	.	.	PUNCT
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iajs-2527	269	8	.	.	PUNCT
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iajs-2527	270	2	,	,	PUNCT
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iajs-2527	270	4	:	:	SYM
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iajs-2527	270	6	-	-	SYM
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iajs-2527	270	8	:	:	PUNCT
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iajs-2527	270	13	      	      	SPACE
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iajs-2527	271	2	  	  	SPACE
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iajs-2527	273	2	(	(	PUNCT
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iajs-2527	273	4	)	)	PUNCT
iajs-2527	273	5	2020	2020	NUM
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iajs-2527	273	7	.	.	PUNCT
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iajs-2527	274	2	,	,	PUNCT
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iajs-2527	274	27	.	.	PUNCT
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iajs-2527	277	2	.	.	PUNCT
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iajs-2527	278	2	,	,	PUNCT
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iajs-2527	280	2	,	,	PUNCT
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iajs-2527	280	9	:	:	PUNCT
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iajs-2527	280	13	.	.	PUNCT
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iajs-2527	281	2	.	.	PUNCT
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iajs-2527	282	2	,	,	PUNCT
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iajs-2527	282	5	;	;	PUNCT
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