id	sid	tid	token	lemma	pos
cana-2206	1	1	communications	communication	NOUN
cana-2206	1	2	on	on	ADP
cana-2206	1	3	applied	apply	VERB
cana-2206	1	4	nonlinear	nonlinear	ADJ
cana-2206	1	5	analysis	analysis	NOUN
cana-2206	1	6	issn	issn	NOUN
cana-2206	1	7	:	:	PUNCT
cana-2206	1	8	1074	1074	NUM
cana-2206	1	9	-	-	PUNCT
cana-2206	1	10	133x	133x	NUM
cana-2206	1	11	vol	vol	NOUN
cana-2206	1	12	32	32	NUM
cana-2206	1	13	no	no	NOUN
cana-2206	1	14	.	.	PUNCT
cana-2206	2	1	1s	1s	NUM
cana-2206	2	2	(	(	PUNCT
cana-2206	2	3	2025	2025	NUM
cana-2206	2	4	)	)	PUNCT
cana-2206	2	5	419	419	NUM
cana-2206	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	2	7	advanced	advance	VERB
cana-2206	2	8	automated	automate	VERB
cana-2206	2	9	number	number	NOUN
cana-2206	2	10	plate	plate	NOUN
cana-2206	2	11	recognizer	recognizer	NOUN
cana-2206	2	12	using	use	VERB
cana-2206	2	13	machine	machine	NOUN
cana-2206	2	14	learning	learning	NOUN
cana-2206	2	15	technique	technique	NOUN
cana-2206	2	16	gopal	gopal	PROPN
cana-2206	2	17	d.	d.	PROPN
cana-2206	2	18	upadhye	upadhye	PROPN
cana-2206	2	19	,	,	PUNCT
cana-2206	2	20	shital	shital	ADJ
cana-2206	2	21	p.	p.	NOUN
cana-2206	2	22	dongre	dongre	NOUN
cana-2206	2	23	,	,	PUNCT
cana-2206	2	24	ranjeetsingh	ranjeetsingh	NOUN
cana-2206	2	25	suryawanshi	suryawanshi	NOUN
cana-2206	2	26	,	,	PUNCT
cana-2206	2	27	satpalsing	satpalse	VERB
cana-2206	2	28	d.	d.	PROPN
cana-2206	2	29	rajput	rajput	PROPN
cana-2206	2	30	,	,	PUNCT
cana-2206	2	31	ramesh	ramesh	PROPN
cana-2206	2	32	bhopale	bhopale	PROPN
cana-2206	2	33	,	,	PUNCT
cana-2206	2	34	tushar	tushar	PROPN
cana-2206	2	35	bhalchim	bhalchim	PROPN
cana-2206	2	36	,	,	PUNCT
cana-2206	2	37	rutuja	rutuja	NOUN
cana-2206	2	38	bhople	bhople	NOUN
cana-2206	2	39	,	,	PUNCT
cana-2206	2	40	rajas	rajas	PROPN
cana-2206	2	41	bhise	bhise	PROPN
cana-2206	2	42	vishwakarma	vishwakarma	PROPN
cana-2206	2	43	institute	institute	PROPN
cana-2206	2	44	of	of	ADP
cana-2206	2	45	technology	technology	PROPN
cana-2206	2	46	,	,	PUNCT
cana-2206	2	47	pune	pune	ADJ
cana-2206	2	48	article	article	NOUN
cana-2206	2	49	history	history	NOUN
cana-2206	2	50	:	:	PUNCT
cana-2206	2	51	received	receive	VERB
cana-2206	2	52	:	:	PUNCT
cana-2206	2	53	23	23	NUM
cana-2206	2	54	-	-	SYM
cana-2206	2	55	08	08	NUM
cana-2206	2	56	-	-	PUNCT
cana-2206	2	57	2024	2024	NUM
cana-2206	2	58	revised	revise	VERB
cana-2206	2	59	:	:	PUNCT
cana-2206	2	60	04	04	NUM
cana-2206	2	61	-	-	SYM
cana-2206	2	62	10	10	NUM
cana-2206	2	63	-	-	PUNCT
cana-2206	2	64	2024	2024	NUM
cana-2206	2	65	accepted	accept	VERB
cana-2206	2	66	:	:	PUNCT
cana-2206	2	67	21	21	NUM
cana-2206	2	68	-	-	SYM
cana-2206	2	69	10	10	NUM
cana-2206	2	70	-	-	PUNCT
cana-2206	2	71	2024	2024	NUM
cana-2206	2	72	abstract	abstract	NOUN
cana-2206	2	73	:	:	PUNCT
cana-2206	2	74	the	the	DET
cana-2206	2	75	paper	paper	NOUN
cana-2206	2	76	presents	present	VERB
cana-2206	2	77	a	a	DET
cana-2206	2	78	highly	highly	ADV
cana-2206	2	79	accurate	accurate	ADJ
cana-2206	2	80	automated	automate	VERB
cana-2206	2	81	number	number	NOUN
cana-2206	2	82	plate	plate	NOUN
cana-2206	2	83	recognition	recognition	NOUN
cana-2206	2	84	(	(	PUNCT
cana-2206	2	85	anpr	anpr	PROPN
cana-2206	2	86	)	)	PUNCT
cana-2206	2	87	algorithm	algorithm	NOUN
cana-2206	2	88	designed	design	VERB
cana-2206	2	89	to	to	PART
cana-2206	2	90	correctly	correctly	ADV
cana-2206	2	91	recognize	recognize	VERB
cana-2206	2	92	indian	indian	ADJ
cana-2206	2	93	license	license	NOUN
cana-2206	2	94	plates	plate	NOUN
cana-2206	2	95	with	with	ADP
cana-2206	2	96	over	over	ADP
cana-2206	2	97	99.5	99.5	NUM
cana-2206	2	98	%	%	NOUN
cana-2206	2	99	accuracy	accuracy	NOUN
cana-2206	2	100	.	.	PUNCT
cana-2206	3	1	the	the	DET
cana-2206	3	2	system	system	NOUN
cana-2206	3	3	utilizes	utilize	VERB
cana-2206	3	4	opencv	opencv	PROPN
cana-2206	3	5	,	,	PUNCT
cana-2206	3	6	python	python	PROPN
cana-2206	3	7	,	,	PUNCT
cana-2206	3	8	and	and	CCONJ
cana-2206	3	9	machine	machine	NOUN
cana-2206	3	10	learning	learning	NOUN
cana-2206	3	11	models	model	NOUN
cana-2206	3	12	in	in	ADP
cana-2206	3	13	combination	combination	NOUN
cana-2206	3	14	to	to	PART
cana-2206	3	15	achieve	achieve	VERB
cana-2206	3	16	this	this	DET
cana-2206	3	17	high	high	ADJ
cana-2206	3	18	level	level	NOUN
cana-2206	3	19	of	of	ADP
cana-2206	3	20	precision	precision	NOUN
cana-2206	3	21	.	.	PUNCT
cana-2206	4	1	the	the	DET
cana-2206	4	2	algorithm	algorithm	NOUN
cana-2206	4	3	captures	capture	VERB
cana-2206	4	4	and	and	CCONJ
cana-2206	4	5	processes	process	VERB
cana-2206	4	6	images	image	NOUN
cana-2206	4	7	to	to	PART
cana-2206	4	8	recognize	recognize	VERB
cana-2206	4	9	and	and	CCONJ
cana-2206	4	10	identify	identify	VERB
cana-2206	4	11	license	license	NOUN
cana-2206	4	12	plates	plate	NOUN
cana-2206	4	13	,	,	PUNCT
cana-2206	4	14	including	include	VERB
cana-2206	4	15	the	the	DET
cana-2206	4	16	colours	colour	NOUN
cana-2206	4	17	from	from	ADP
cana-2206	4	18	the	the	DET
cana-2206	4	19	plates	plate	NOUN
cana-2206	4	20	.	.	PUNCT
cana-2206	5	1	initial	initial	ADJ
cana-2206	5	2	plate	plate	NOUN
cana-2206	5	3	recognition	recognition	NOUN
cana-2206	5	4	is	be	AUX
cana-2206	5	5	performed	perform	VERB
cana-2206	5	6	using	use	VERB
cana-2206	5	7	haar	haar	X
cana-2206	5	8	cascades	cascade	NOUN
cana-2206	5	9	,	,	PUNCT
cana-2206	5	10	which	which	PRON
cana-2206	5	11	are	be	AUX
cana-2206	5	12	subsequently	subsequently	ADV
cana-2206	5	13	transferred	transfer	VERB
cana-2206	5	14	to	to	ADP
cana-2206	5	15	yolo	yolo	PROPN
cana-2206	5	16	v3	v3	PROPN
cana-2206	5	17	,	,	PUNCT
cana-2206	5	18	enhancing	enhance	VERB
cana-2206	5	19	both	both	DET
cana-2206	5	20	accuracy	accuracy	NOUN
cana-2206	5	21	and	and	CCONJ
cana-2206	5	22	speed	speed	NOUN
cana-2206	5	23	.	.	PUNCT
cana-2206	6	1	the	the	DET
cana-2206	6	2	system	system	NOUN
cana-2206	6	3	incorporates	incorporate	VERB
cana-2206	6	4	sophisticated	sophisticated	ADJ
cana-2206	6	5	image	image	NOUN
cana-2206	6	6	pre	pre	ADJ
cana-2206	6	7	-	-	ADJ
cana-2206	6	8	processing	processing	ADJ
cana-2206	6	9	techniques	technique	NOUN
cana-2206	6	10	—	—	PUNCT
cana-2206	6	11	including	include	VERB
cana-2206	6	12	grayscale	grayscale	NOUN
cana-2206	6	13	adjustment	adjustment	NOUN
cana-2206	6	14	,	,	PUNCT
cana-2206	6	15	thresholding	thresholding	NOUN
cana-2206	6	16	,	,	PUNCT
cana-2206	6	17	erosion	erosion	NOUN
cana-2206	6	18	,	,	PUNCT
cana-2206	6	19	detail	detail	NOUN
cana-2206	6	20	,	,	PUNCT
cana-2206	6	21	and	and	CCONJ
cana-2206	6	22	contour	contour	NOUN
cana-2206	6	23	detection	detection	NOUN
cana-2206	6	24	—	—	PUNCT
cana-2206	6	25	to	to	PART
cana-2206	6	26	ensure	ensure	VERB
cana-2206	6	27	images	image	NOUN
cana-2206	6	28	are	be	AUX
cana-2206	6	29	optimized	optimize	VERB
cana-2206	6	30	for	for	ADP
cana-2206	6	31	character	character	NOUN
cana-2206	6	32	separation	separation	NOUN
cana-2206	6	33	and	and	CCONJ
cana-2206	6	34	recognition	recognition	NOUN
cana-2206	6	35	.	.	PUNCT
cana-2206	7	1	this	this	DET
cana-2206	7	2	integrated	integrate	VERB
cana-2206	7	3	approach	approach	NOUN
cana-2206	7	4	not	not	PART
cana-2206	7	5	only	only	ADV
cana-2206	7	6	increases	increase	VERB
cana-2206	7	7	recognition	recognition	NOUN
cana-2206	7	8	rates	rate	NOUN
cana-2206	7	9	but	but	CCONJ
cana-2206	7	10	also	also	ADV
cana-2206	7	11	handles	handle	VERB
cana-2206	7	12	images	image	NOUN
cana-2206	7	13	more	more	ADV
cana-2206	7	14	efficiently	efficiently	ADV
cana-2206	7	15	,	,	PUNCT
cana-2206	7	16	particularly	particularly	ADV
cana-2206	7	17	in	in	ADP
cana-2206	7	18	scenarios	scenario	NOUN
cana-2206	7	19	where	where	SCONJ
cana-2206	7	20	traditional	traditional	ADJ
cana-2206	7	21	systems	system	NOUN
cana-2206	7	22	may	may	AUX
cana-2206	7	23	fail	fail	VERB
cana-2206	7	24	.	.	PUNCT
cana-2206	8	1	as	as	ADP
cana-2206	8	2	a	a	DET
cana-2206	8	3	result	result	NOUN
cana-2206	8	4	,	,	PUNCT
cana-2206	8	5	it	it	PRON
cana-2206	8	6	paves	pave	VERB
cana-2206	8	7	the	the	DET
cana-2206	8	8	way	way	NOUN
cana-2206	8	9	for	for	ADP
cana-2206	8	10	robust	robust	ADJ
cana-2206	8	11	anpr	anpr	NOUN
cana-2206	8	12	implementation	implementation	NOUN
cana-2206	8	13	in	in	ADP
cana-2206	8	14	dynamic	dynamic	ADJ
cana-2206	8	15	environments	environment	NOUN
cana-2206	8	16	.	.	PUNCT
cana-2206	9	1	keywords	keyword	NOUN
cana-2206	9	2	:	:	PUNCT
cana-2206	9	3	image	image	NOUN
cana-2206	9	4	processing	processing	NOUN
cana-2206	9	5	,	,	PUNCT
cana-2206	9	6	anpr	anpr	PROPN
cana-2206	9	7	,	,	PUNCT
cana-2206	9	8	cnn	cnn	PROPN
cana-2206	9	9	,	,	PUNCT
cana-2206	9	10	opencv	opencv	PROPN
cana-2206	9	11	,	,	PUNCT
cana-2206	9	12	haar	haar	NOUN
cana-2206	9	13	cascade	cascade	NOUN
cana-2206	9	14	,	,	PUNCT
cana-2206	9	15	yolo	yolo	PROPN
cana-2206	9	16	v3	v3	PROPN
cana-2206	9	17	,	,	PUNCT
cana-2206	9	18	optical	optical	ADJ
cana-2206	9	19	character	character	NOUN
cana-2206	9	20	recognition	recognition	NOUN
cana-2206	9	21	.	.	PUNCT
cana-2206	10	1	1	1	X
cana-2206	10	2	.	.	X
cana-2206	10	3	introduction	introduction	NOUN
cana-2206	10	4	in	in	ADP
cana-2206	10	5	today	today	NOUN
cana-2206	10	6	's	's	PART
cana-2206	10	7	fast	fast	ADV
cana-2206	10	8	-	-	PUNCT
cana-2206	10	9	paced	pace	VERB
cana-2206	10	10	world	world	NOUN
cana-2206	10	11	,	,	PUNCT
cana-2206	10	12	automated	automate	VERB
cana-2206	10	13	number	number	NOUN
cana-2206	10	14	plate	plate	NOUN
cana-2206	10	15	recognition	recognition	NOUN
cana-2206	10	16	(	(	PUNCT
cana-2206	10	17	anpr	anpr	PROPN
cana-2206	10	18	)	)	PUNCT
cana-2206	10	19	is	be	AUX
cana-2206	10	20	an	an	DET
cana-2206	10	21	essential	essential	ADJ
cana-2206	10	22	technology	technology	NOUN
cana-2206	10	23	with	with	ADP
cana-2206	10	24	many	many	ADJ
cana-2206	10	25	uses	use	NOUN
cana-2206	10	26	.	.	PUNCT
cana-2206	11	1	an	an	DET
cana-2206	11	2	indispensable	indispensable	ADJ
cana-2206	11	3	part	part	NOUN
cana-2206	11	4	of	of	ADP
cana-2206	11	5	contemporary	contemporary	ADJ
cana-2206	11	6	infrastructure	infrastructure	NOUN
cana-2206	11	7	,	,	PUNCT
cana-2206	11	8	the	the	DET
cana-2206	11	9	anpr	anpr	PROPN
cana-2206	11	10	system	system	NOUN
cana-2206	11	11	enhances	enhance	VERB
cana-2206	11	12	security	security	NOUN
cana-2206	11	13	measures	measure	NOUN
cana-2206	11	14	and	and	CCONJ
cana-2206	11	15	facilitates	facilitate	VERB
cana-2206	11	16	better	well	ADJ
cana-2206	11	17	traffic	traffic	NOUN
cana-2206	11	18	management	management	NOUN
cana-2206	11	19	.	.	PUNCT
cana-2206	12	1	these	these	DET
cana-2206	12	2	technologies	technology	NOUN
cana-2206	12	3	offer	offer	VERB
cana-2206	12	4	a	a	DET
cana-2206	12	5	quicker	quick	ADJ
cana-2206	12	6	option	option	NOUN
cana-2206	12	7	to	to	ADP
cana-2206	12	8	manual	manual	ADJ
cana-2206	12	9	entry	entry	NOUN
cana-2206	12	10	and	and	CCONJ
cana-2206	12	11	record	record	NOUN
cana-2206	12	12	-	-	PUNCT
cana-2206	12	13	keeping	keeping	NOUN
cana-2206	12	14	by	by	ADP
cana-2206	12	15	enabling	enable	VERB
cana-2206	12	16	the	the	DET
cana-2206	12	17	digital	digital	ADJ
cana-2206	12	18	extraction	extraction	NOUN
cana-2206	12	19	of	of	ADP
cana-2206	12	20	car	car	NOUN
cana-2206	12	21	licence	licence	NOUN
cana-2206	12	22	numbers	number	NOUN
cana-2206	12	23	from	from	ADP
cana-2206	12	24	pictures	picture	NOUN
cana-2206	12	25	.	.	PUNCT
cana-2206	13	1	still	still	ADV
cana-2206	13	2	,	,	PUNCT
cana-2206	13	3	creating	create	VERB
cana-2206	13	4	an	an	DET
cana-2206	13	5	anpr	anpr	NOUN
cana-2206	13	6	system	system	NOUN
cana-2206	13	7	that	that	PRON
cana-2206	13	8	works	work	VERB
cana-2206	13	9	flawlessly	flawlessly	ADV
cana-2206	13	10	in	in	ADP
cana-2206	13	11	a	a	DET
cana-2206	13	12	variety	variety	NOUN
cana-2206	13	13	of	of	ADP
cana-2206	13	14	settings	setting	NOUN
cana-2206	13	15	is	be	AUX
cana-2206	13	16	a	a	DET
cana-2206	13	17	difficult	difficult	ADJ
cana-2206	13	18	undertaking	undertaking	NOUN
cana-2206	13	19	.	.	PUNCT
cana-2206	14	1	the	the	DET
cana-2206	14	2	recognition	recognition	NOUN
cana-2206	14	3	process	process	NOUN
cana-2206	14	4	begins	begin	VERB
cana-2206	14	5	at	at	ADP
cana-2206	14	6	the	the	DET
cana-2206	14	7	hardware	hardware	NOUN
cana-2206	14	8	level	level	NOUN
cana-2206	14	9	,	,	PUNCT
cana-2206	14	10	where	where	SCONJ
cana-2206	14	11	a	a	DET
cana-2206	14	12	sophisticated	sophisticated	ADJ
cana-2206	14	13	network	network	NOUN
cana-2206	14	14	of	of	ADP
cana-2206	14	15	cameras	camera	NOUN
cana-2206	14	16	connected	connect	VERB
cana-2206	14	17	to	to	ADP
cana-2206	14	18	computing	computing	NOUN
cana-2206	14	19	devices	device	NOUN
cana-2206	14	20	,	,	PUNCT
cana-2206	14	21	such	such	ADJ
cana-2206	14	22	as	as	ADP
cana-2206	14	23	pcs	pc	NOUN
cana-2206	14	24	or	or	CCONJ
cana-2206	14	25	raspberry	raspberry	NOUN
cana-2206	14	26	pi	pi	NOUN
cana-2206	14	27	,	,	PUNCT
cana-2206	14	28	captures	capture	VERB
cana-2206	14	29	real	real	ADJ
cana-2206	14	30	-	-	PUNCT
cana-2206	14	31	time	time	NOUN
cana-2206	14	32	images	image	NOUN
cana-2206	14	33	of	of	ADP
cana-2206	14	34	vehicles	vehicle	NOUN
cana-2206	14	35	.	.	PUNCT
cana-2206	15	1	this	this	DET
cana-2206	15	2	process	process	NOUN
cana-2206	15	3	is	be	AUX
cana-2206	15	4	critical	critical	ADJ
cana-2206	15	5	because	because	SCONJ
cana-2206	15	6	it	it	PRON
cana-2206	15	7	forms	form	VERB
cana-2206	15	8	the	the	DET
cana-2206	15	9	foundation	foundation	NOUN
cana-2206	15	10	for	for	ADP
cana-2206	15	11	all	all	DET
cana-2206	15	12	subsequent	subsequent	ADJ
cana-2206	15	13	analyses	analysis	NOUN
cana-2206	15	14	and	and	CCONJ
cana-2206	15	15	applications	application	NOUN
cana-2206	15	16	.	.	PUNCT
cana-2206	16	1	given	give	VERB
cana-2206	16	2	the	the	DET
cana-2206	16	3	complexity	complexity	NOUN
cana-2206	16	4	of	of	ADP
cana-2206	16	5	the	the	DET
cana-2206	16	6	environments	environment	NOUN
cana-2206	16	7	in	in	ADP
cana-2206	16	8	which	which	PRON
cana-2206	16	9	anpr	anpr	PROPN
cana-2206	16	10	systems	system	NOUN
cana-2206	16	11	are	be	AUX
cana-2206	16	12	deployed	deploy	VERB
cana-2206	16	13	,	,	PUNCT
cana-2206	16	14	capturing	capture	VERB
cana-2206	16	15	clear	clear	ADJ
cana-2206	16	16	and	and	CCONJ
cana-2206	16	17	usable	usable	ADJ
cana-2206	16	18	images	image	NOUN
cana-2206	16	19	is	be	AUX
cana-2206	16	20	almost	almost	ADV
cana-2206	16	21	as	as	ADV
cana-2206	16	22	important	important	ADJ
cana-2206	16	23	as	as	ADP
cana-2206	16	24	the	the	DET
cana-2206	16	25	detection	detection	NOUN
cana-2206	16	26	process	process	NOUN
cana-2206	16	27	itself	itself	PRON
cana-2206	16	28	.	.	PUNCT
cana-2206	17	1	on	on	ADP
cana-2206	17	2	the	the	DET
cana-2206	17	3	software	software	NOUN
cana-2206	17	4	side	side	NOUN
cana-2206	17	5	,	,	PUNCT
cana-2206	17	6	our	our	PRON
cana-2206	17	7	system	system	NOUN
cana-2206	17	8	utilizes	utilize	VERB
cana-2206	17	9	opencv	opencv	PROPN
cana-2206	17	10	and	and	CCONJ
cana-2206	17	11	python	python	PROPN
cana-2206	17	12	—	—	PUNCT
cana-2206	17	13	a	a	DET
cana-2206	17	14	combination	combination	NOUN
cana-2206	17	15	proven	prove	VERB
cana-2206	17	16	effective	effective	ADJ
cana-2206	17	17	for	for	ADP
cana-2206	17	18	realtime	realtime	ADJ
cana-2206	17	19	image	image	NOUN
cana-2206	17	20	processing	processing	NOUN
cana-2206	17	21	applications	application	NOUN
cana-2206	17	22	.	.	PUNCT
cana-2206	18	1	opencv	opencv	PROPN
cana-2206	18	2	facilitates	facilitate	VERB
cana-2206	18	3	various	various	ADJ
cana-2206	18	4	tasks	task	NOUN
cana-2206	18	5	required	require	VERB
cana-2206	18	6	for	for	ADP
cana-2206	18	7	anpr	anpr	NOUN
cana-2206	18	8	,	,	PUNCT
cana-2206	18	9	including	include	VERB
cana-2206	18	10	image	image	NOUN
cana-2206	18	11	capture	capture	NOUN
cana-2206	18	12	,	,	PUNCT
cana-2206	18	13	pre	pre	ADJ
cana-2206	18	14	-	-	ADJ
cana-2206	18	15	processing	processing	ADJ
cana-2206	18	16	,	,	PUNCT
cana-2206	18	17	and	and	CCONJ
cana-2206	18	18	form	form	NOUN
cana-2206	18	19	detection	detection	NOUN
cana-2206	18	20	.	.	PUNCT
cana-2206	19	1	python	python	PROPN
cana-2206	19	2	's	's	PART
cana-2206	19	3	extensive	extensive	ADJ
cana-2206	19	4	library	library	NOUN
cana-2206	19	5	ecosystem	ecosystem	NOUN
cana-2206	19	6	and	and	CCONJ
cana-2206	19	7	compatibility	compatibility	NOUN
cana-2206	19	8	with	with	ADP
cana-2206	19	9	opencv	opencv	PROPN
cana-2206	19	10	make	make	VERB
cana-2206	19	11	it	it	PRON
cana-2206	19	12	an	an	DET
cana-2206	19	13	ideal	ideal	ADJ
cana-2206	19	14	choice	choice	NOUN
cana-2206	19	15	for	for	ADP
cana-2206	19	16	the	the	DET
cana-2206	19	17	computational	computational	ADJ
cana-2206	19	18	aspects	aspect	NOUN
cana-2206	19	19	of	of	ADP
cana-2206	19	20	anpr	anpr	NOUN
cana-2206	19	21	programs	program	NOUN
cana-2206	19	22	.	.	PUNCT
cana-2206	20	1	initial	initial	ADJ
cana-2206	20	2	detection	detection	NOUN
cana-2206	20	3	of	of	ADP
cana-2206	20	4	the	the	DET
cana-2206	20	5	registration	registration	NOUN
cana-2206	20	6	code	code	NOUN
cana-2206	20	7	within	within	ADP
cana-2206	20	8	the	the	DET
cana-2206	20	9	broader	broad	ADJ
cana-2206	20	10	image	image	NOUN
cana-2206	20	11	is	be	AUX
cana-2206	20	12	performed	perform	VERB
cana-2206	20	13	using	use	VERB
cana-2206	20	14	haar	haar	NOUN
cana-2206	20	15	cascades	cascade	NOUN
cana-2206	20	16	,	,	PUNCT
cana-2206	20	17	a	a	DET
cana-2206	20	18	machine	machine	NOUN
cana-2206	20	19	learning	learning	NOUN
cana-2206	20	20	-	-	PUNCT
cana-2206	20	21	based	base	VERB
cana-2206	20	22	approach	approach	NOUN
cana-2206	20	23	specifically	specifically	ADV
cana-2206	20	24	trained	train	VERB
cana-2206	20	25	to	to	PART
cana-2206	20	26	identify	identify	VERB
cana-2206	20	27	the	the	DET
cana-2206	20	28	patterns	pattern	NOUN
cana-2206	20	29	and	and	CCONJ
cana-2206	20	30	features	feature	NOUN
cana-2206	20	31	of	of	ADP
cana-2206	20	32	indian	indian	ADJ
cana-2206	20	33	license	license	NOUN
cana-2206	20	34	plates	plate	NOUN
cana-2206	20	35	.	.	PUNCT
cana-2206	21	1	although	although	SCONJ
cana-2206	21	2	effective	effective	ADJ
cana-2206	21	3	,	,	PUNCT
cana-2206	21	4	we	we	PRON
cana-2206	21	5	are	be	AUX
cana-2206	21	6	transitioning	transition	VERB
cana-2206	21	7	to	to	ADP
cana-2206	21	8	a	a	DET
cana-2206	21	9	more	more	ADV
cana-2206	21	10	advanced	advanced	ADJ
cana-2206	21	11	deep	deep	ADJ
cana-2206	21	12	learning	learning	NOUN
cana-2206	21	13	model	model	NOUN
cana-2206	21	14	,	,	PUNCT
cana-2206	21	15	yolo	yolo	PROPN
cana-2206	21	16	v3	v3	PROPN
cana-2206	21	17	,	,	PUNCT
cana-2206	21	18	to	to	PART
cana-2206	21	19	enhance	enhance	VERB
cana-2206	21	20	our	our	PRON
cana-2206	21	21	system	system	NOUN
cana-2206	21	22	's	's	PART
cana-2206	21	23	accuracy	accuracy	NOUN
cana-2206	21	24	and	and	CCONJ
cana-2206	21	25	efficiency	efficiency	NOUN
cana-2206	21	26	.	.	PUNCT
cana-2206	22	1	this	this	DET
cana-2206	22	2	upgrade	upgrade	NOUN
cana-2206	22	3	is	be	AUX
cana-2206	22	4	expected	expect	VERB
cana-2206	22	5	to	to	PART
cana-2206	22	6	overcome	overcome	VERB
cana-2206	22	7	some	some	PRON
cana-2206	22	8	of	of	ADP
cana-2206	22	9	the	the	DET
cana-2206	22	10	limitations	limitation	NOUN
cana-2206	22	11	of	of	ADP
cana-2206	22	12	the	the	DET
cana-2206	22	13	current	current	ADJ
cana-2206	22	14	detection	detection	NOUN
cana-2206	22	15	method	method	NOUN
cana-2206	22	16	,	,	PUNCT
cana-2206	22	17	particularly	particularly	ADV
cana-2206	22	18	in	in	ADP
cana-2206	22	19	handling	handle	VERB
cana-2206	22	20	variations	variation	NOUN
cana-2206	22	21	in	in	ADP
cana-2206	22	22	plate	plate	NOUN
cana-2206	22	23	designs	design	NOUN
cana-2206	22	24	and	and	CCONJ
cana-2206	22	25	orientations	orientation	NOUN
cana-2206	22	26	.	.	PUNCT
cana-2206	23	1	once	once	ADV
cana-2206	23	2	a	a	DET
cana-2206	23	3	license	license	NOUN
cana-2206	23	4	plate	plate	NOUN
cana-2206	23	5	is	be	AUX
cana-2206	23	6	detected	detect	VERB
cana-2206	23	7	,	,	PUNCT
cana-2206	23	8	several	several	ADJ
cana-2206	23	9	pre	pre	ADJ
cana-2206	23	10	-	-	ADJ
cana-2206	23	11	processing	processing	ADJ
cana-2206	23	12	steps	step	NOUN
cana-2206	23	13	are	be	AUX
cana-2206	23	14	carried	carry	VERB
cana-2206	23	15	out	out	ADP
cana-2206	23	16	to	to	PART
cana-2206	23	17	ensure	ensure	VERB
cana-2206	23	18	the	the	DET
cana-2206	23	19	image	image	NOUN
cana-2206	23	20	is	be	AUX
cana-2206	23	21	suitable	suitable	ADJ
cana-2206	23	22	for	for	ADP
cana-2206	23	23	character	character	NOUN
cana-2206	23	24	recognition	recognition	NOUN
cana-2206	23	25	.	.	PUNCT
cana-2206	24	1	these	these	DET
cana-2206	24	2	steps	step	NOUN
cana-2206	24	3	include	include	VERB
cana-2206	24	4	converting	convert	VERB
cana-2206	24	5	the	the	DET
cana-2206	24	6	image	image	NOUN
cana-2206	24	7	to	to	PART
cana-2206	24	8	grayscale	grayscale	VERB
cana-2206	24	9	to	to	PART
cana-2206	24	10	reduce	reduce	VERB
cana-2206	24	11	complexity	complexity	NOUN
cana-2206	24	12	,	,	PUNCT
cana-2206	24	13	applying	apply	VERB
cana-2206	24	14	thresholding	thresholde	VERB
cana-2206	24	15	techniques	technique	NOUN
cana-2206	24	16	to	to	PART
cana-2206	24	17	highlight	highlight	VERB
cana-2206	24	18	the	the	DET
cana-2206	24	19	characters	character	NOUN
cana-2206	24	20	,	,	PUNCT
cana-2206	24	21	and	and	CCONJ
cana-2206	24	22	using	use	VERB
cana-2206	24	23	morphological	morphological	ADJ
cana-2206	24	24	operations	operation	NOUN
cana-2206	24	25	to	to	PART
cana-2206	24	26	clean	clean	VERB
cana-2206	24	27	up	up	ADP
cana-2206	24	28	the	the	DET
cana-2206	24	29	image	image	NOUN
cana-2206	24	30	.	.	PUNCT
cana-2206	25	1	this	this	DET
cana-2206	25	2	meticulous	meticulous	ADJ
cana-2206	25	3	precommunications	precommunication	NOUN
cana-2206	25	4	on	on	ADP
cana-2206	25	5	applied	apply	VERB
cana-2206	25	6	nonlinear	nonlinear	ADJ
cana-2206	25	7	analysis	analysis	NOUN
cana-2206	25	8	issn	issn	NOUN
cana-2206	25	9	:	:	PUNCT
cana-2206	25	10	1074	1074	NUM
cana-2206	25	11	-	-	PUNCT
cana-2206	25	12	133x	133x	NUM
cana-2206	25	13	vol	vol	NOUN
cana-2206	25	14	32	32	NUM
cana-2206	25	15	no	no	NOUN
cana-2206	25	16	.	.	PUNCT
cana-2206	26	1	1s	1s	NUM
cana-2206	26	2	(	(	PUNCT
cana-2206	26	3	2025	2025	NUM
cana-2206	26	4	)	)	PUNCT
cana-2206	26	5	420	420	NUM
cana-2206	26	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	26	7	processing	processing	NOUN
cana-2206	26	8	is	be	AUX
cana-2206	26	9	crucial	crucial	ADJ
cana-2206	26	10	for	for	ADP
cana-2206	26	11	the	the	DET
cana-2206	26	12	subsequent	subsequent	ADJ
cana-2206	26	13	steps	step	NOUN
cana-2206	26	14	of	of	ADP
cana-2206	26	15	character	character	NOUN
cana-2206	26	16	segmentation	segmentation	NOUN
cana-2206	26	17	and	and	CCONJ
cana-2206	26	18	recognition	recognition	NOUN
cana-2206	26	19	,	,	PUNCT
cana-2206	26	20	which	which	PRON
cana-2206	26	21	rely	rely	VERB
cana-2206	26	22	heavily	heavily	ADV
cana-2206	26	23	on	on	ADP
cana-2206	26	24	the	the	DET
cana-2206	26	25	quality	quality	NOUN
cana-2206	26	26	of	of	ADP
cana-2206	26	27	the	the	DET
cana-2206	26	28	input	input	NOUN
cana-2206	26	29	image	image	NOUN
cana-2206	26	30	.	.	PUNCT
cana-2206	27	1	the	the	DET
cana-2206	27	2	final	final	ADJ
cana-2206	27	3	stage	stage	NOUN
cana-2206	27	4	involves	involve	VERB
cana-2206	27	5	character	character	NOUN
cana-2206	27	6	recognition	recognition	NOUN
cana-2206	27	7	,	,	PUNCT
cana-2206	27	8	powered	power	VERB
cana-2206	27	9	by	by	ADP
cana-2206	27	10	a	a	DET
cana-2206	27	11	cnn	cnn	NOUN
cana-2206	27	12	enveloped	envelop	VERB
cana-2206	27	13	[	[	PUNCT
cana-2206	27	14	18	18	NUM
cana-2206	27	15	]	]	PUNCT
cana-2206	27	16	using	use	VERB
cana-2206	27	17	keras	keras	PROPN
cana-2206	27	18	.	.	PUNCT
cana-2206	28	1	this	this	DET
cana-2206	28	2	stage	stage	NOUN
cana-2206	28	3	involves	involve	VERB
cana-2206	28	4	a	a	DET
cana-2206	28	5	detailed	detailed	ADJ
cana-2206	28	6	analysis	analysis	NOUN
cana-2206	28	7	of	of	ADP
cana-2206	28	8	each	each	DET
cana-2206	28	9	character	character	NOUN
cana-2206	28	10	on	on	ADP
cana-2206	28	11	the	the	DET
cana-2206	28	12	plate	plate	NOUN
cana-2206	28	13	,	,	PUNCT
cana-2206	28	14	followed	follow	VERB
cana-2206	28	15	by	by	ADP
cana-2206	28	16	the	the	DET
cana-2206	28	17	assembly	assembly	NOUN
cana-2206	28	18	of	of	ADP
cana-2206	28	19	these	these	DET
cana-2206	28	20	characters	character	NOUN
cana-2206	28	21	into	into	ADP
cana-2206	28	22	a	a	DET
cana-2206	28	23	coherent	coherent	ADJ
cana-2206	28	24	plate	plate	NOUN
cana-2206	28	25	number	number	NOUN
cana-2206	28	26	.	.	PUNCT
cana-2206	29	1	our	our	PRON
cana-2206	29	2	cnn	cnn	PROPN
cana-2206	29	3	model	model	NOUN
cana-2206	29	4	is	be	AUX
cana-2206	29	5	specifically	specifically	ADV
cana-2206	29	6	designed	design	VERB
cana-2206	29	7	to	to	PART
cana-2206	29	8	interpret	interpret	VERB
cana-2206	29	9	a	a	DET
cana-2206	29	10	wide	wide	ADJ
cana-2206	29	11	range	range	NOUN
cana-2206	29	12	of	of	ADP
cana-2206	29	13	fonts	font	NOUN
cana-2206	29	14	and	and	CCONJ
cana-2206	29	15	styles	style	NOUN
cana-2206	29	16	,	,	PUNCT
cana-2206	29	17	ensuring	ensure	VERB
cana-2206	29	18	that	that	SCONJ
cana-2206	29	19	the	the	DET
cana-2206	29	20	anpr	anpr	PROPN
cana-2206	29	21	system	system	NOUN
cana-2206	29	22	remains	remain	VERB
cana-2206	29	23	versatile	versatile	ADJ
cana-2206	29	24	and	and	CCONJ
cana-2206	29	25	reliable	reliable	ADJ
cana-2206	29	26	across	across	ADP
cana-2206	29	27	various	various	ADJ
cana-2206	29	28	conditions	condition	NOUN
cana-2206	29	29	.	.	PUNCT
cana-2206	30	1	by	by	ADP
cana-2206	30	2	integrating	integrate	VERB
cana-2206	30	3	these	these	DET
cana-2206	30	4	advanced	advanced	ADJ
cana-2206	30	5	technological	technological	ADJ
cana-2206	30	6	components	component	NOUN
cana-2206	30	7	,	,	PUNCT
cana-2206	30	8	our	our	PRON
cana-2206	30	9	system	system	NOUN
cana-2206	30	10	not	not	PART
cana-2206	30	11	only	only	ADV
cana-2206	30	12	achieves	achieve	VERB
cana-2206	30	13	but	but	CCONJ
cana-2206	30	14	consistently	consistently	ADV
cana-2206	30	15	exceeds	exceed	VERB
cana-2206	30	16	a	a	DET
cana-2206	30	17	99.5	99.5	NUM
cana-2206	30	18	%	%	NOUN
cana-2206	30	19	accuracy	accuracy	NOUN
cana-2206	30	20	rate	rate	NOUN
cana-2206	30	21	,	,	PUNCT
cana-2206	30	22	setting	set	VERB
cana-2206	30	23	a	a	DET
cana-2206	30	24	new	new	ADJ
cana-2206	30	25	standard	standard	NOUN
cana-2206	30	26	for	for	ADP
cana-2206	30	27	anpr	anpr	NOUN
cana-2206	30	28	systems	system	NOUN
cana-2206	30	29	in	in	ADP
cana-2206	30	30	challenging	challenge	VERB
cana-2206	30	31	environments	environment	NOUN
cana-2206	30	32	.	.	PUNCT
cana-2206	31	1	2	2	X
cana-2206	31	2	.	.	X
cana-2206	31	3	literature	literature	NOUN
cana-2206	31	4	survey	survey	NOUN
cana-2206	31	5	automated	automate	VERB
cana-2206	31	6	number	number	NOUN
cana-2206	31	7	plate	plate	NOUN
cana-2206	31	8	recognition	recognition	NOUN
cana-2206	31	9	(	(	PUNCT
cana-2206	31	10	anpr	anpr	PROPN
cana-2206	31	11	)	)	PUNCT
cana-2206	31	12	systems	system	NOUN
cana-2206	31	13	have	have	AUX
cana-2206	31	14	become	become	VERB
cana-2206	31	15	essential	essential	ADJ
cana-2206	31	16	tools	tool	NOUN
cana-2206	31	17	in	in	ADP
cana-2206	31	18	various	various	ADJ
cana-2206	31	19	fields	field	NOUN
cana-2206	31	20	,	,	PUNCT
cana-2206	31	21	including	include	VERB
cana-2206	31	22	security	security	NOUN
cana-2206	31	23	,	,	PUNCT
cana-2206	31	24	traffic	traffic	NOUN
cana-2206	31	25	control	control	NOUN
cana-2206	31	26	,	,	PUNCT
cana-2206	31	27	and	and	CCONJ
cana-2206	31	28	law	law	NOUN
cana-2206	31	29	enforcement	enforcement	NOUN
cana-2206	31	30	.	.	PUNCT
cana-2206	32	1	the	the	DET
cana-2206	32	2	literature	literature	NOUN
cana-2206	32	3	on	on	ADP
cana-2206	32	4	anpr	anpr	PROPN
cana-2206	32	5	systems	system	NOUN
cana-2206	32	6	explores	explore	VERB
cana-2206	32	7	the	the	DET
cana-2206	32	8	complexities	complexity	NOUN
cana-2206	32	9	and	and	CCONJ
cana-2206	32	10	challenges	challenge	NOUN
cana-2206	32	11	in	in	ADP
cana-2206	32	12	this	this	DET
cana-2206	32	13	domain	domain	NOUN
cana-2206	32	14	,	,	PUNCT
cana-2206	32	15	showcasing	showcase	VERB
cana-2206	32	16	a	a	DET
cana-2206	32	17	wide	wide	ADJ
cana-2206	32	18	array	array	NOUN
cana-2206	32	19	of	of	ADP
cana-2206	32	20	approaches	approach	NOUN
cana-2206	32	21	and	and	CCONJ
cana-2206	32	22	innovations	innovation	NOUN
cana-2206	32	23	[	[	X
cana-2206	32	24	1][2	1][2	NUM
cana-2206	32	25	]	]	PUNCT
cana-2206	32	26	.	.	PUNCT
cana-2206	33	1	advanced	advanced	ADJ
cana-2206	33	2	research	research	NOUN
cana-2206	33	3	has	have	AUX
cana-2206	33	4	focused	focus	VERB
cana-2206	33	5	on	on	ADP
cana-2206	33	6	the	the	DET
cana-2206	33	7	development	development	NOUN
cana-2206	33	8	of	of	ADP
cana-2206	33	9	anpr	anpr	PROPN
cana-2206	33	10	frameworks	framework	NOUN
cana-2206	33	11	,	,	PUNCT
cana-2206	33	12	following	follow	VERB
cana-2206	33	13	their	their	PRON
cana-2206	33	14	path	path	NOUN
cana-2206	33	15	from	from	ADP
cana-2206	33	16	conventional	conventional	ADJ
cana-2206	33	17	image	image	NOUN
cana-2206	33	18	processing	processing	NOUN
cana-2206	33	19	methods	method	NOUN
cana-2206	33	20	to	to	PART
cana-2206	33	21	complex	complex	ADJ
cana-2206	33	22	deep	deep	ADJ
cana-2206	33	23	learning	learning	NOUN
cana-2206	33	24	models	model	NOUN
cana-2206	33	25	[	[	X
cana-2206	33	26	3	3	NUM
cana-2206	33	27	]	]	PUNCT
cana-2206	33	28	.	.	PUNCT
cana-2206	34	1	in	in	ADP
cana-2206	34	2	tasks	task	NOUN
cana-2206	34	3	of	of	ADP
cana-2206	34	4	licence	licence	NOUN
cana-2206	34	5	plate	plate	NOUN
cana-2206	34	6	recognition	recognition	NOUN
cana-2206	34	7	and	and	CCONJ
cana-2206	34	8	detection[17	detection[17	PROPN
cana-2206	34	9	]	]	PUNCT
cana-2206	34	10	distinct	distinct	ADJ
cana-2206	34	11	machine	machine	NOUN
cana-2206	34	12	learning	learning	NOUN
cana-2206	34	13	models	model	NOUN
cana-2206	34	14	like	like	ADP
cana-2206	34	15	cnn	cnn	PROPN
cana-2206	34	16	’s	’s	PART
cana-2206	34	17	and	and	CCONJ
cana-2206	34	18	recurrent	recurrent	ADJ
cana-2206	34	19	neural	neural	NOUN
cana-2206	34	20	(	(	PUNCT
cana-2206	34	21	rnns)—have	rnns)—have	AUX
cana-2206	34	22	shown	show	VERB
cana-2206	34	23	considerable	considerable	ADJ
cana-2206	34	24	performance	performance	NOUN
cana-2206	34	25	gains	gain	NOUN
cana-2206	34	26	[	[	X
cana-2206	34	27	4	4	NUM
cana-2206	34	28	]	]	PUNCT
cana-2206	34	29	.	.	PUNCT
cana-2206	35	1	by	by	ADP
cana-2206	35	2	classifying	classify	VERB
cana-2206	35	3	them	they	PRON
cana-2206	35	4	according	accord	VERB
cana-2206	35	5	to	to	ADP
cana-2206	35	6	their	their	PRON
cana-2206	35	7	techniques	technique	NOUN
cana-2206	35	8	and	and	CCONJ
cana-2206	35	9	performance	performance	NOUN
cana-2206	35	10	measures	measure	NOUN
cana-2206	35	11	,	,	PUNCT
cana-2206	35	12	overview	overview	NOUN
cana-2206	35	13	papers	paper	NOUN
cana-2206	35	14	are	be	AUX
cana-2206	35	15	essential	essential	ADJ
cana-2206	35	16	in	in	ADP
cana-2206	35	17	synthesising	synthesise	VERB
cana-2206	35	18	the	the	DET
cana-2206	35	19	state	state	NOUN
cana-2206	35	20	-	-	PUNCT
cana-2206	35	21	of	of	ADP
cana-2206	35	22	-	-	PUNCT
cana-2206	35	23	the	the	DET
cana-2206	35	24	-	-	PUNCT
cana-2206	35	25	art	art	NOUN
cana-2206	35	26	in	in	ADP
cana-2206	35	27	anpr	anpr	ADJ
cana-2206	35	28	frameworks	framework	NOUN
cana-2206	35	29	[	[	X
cana-2206	35	30	5][6	5][6	NUM
cana-2206	35	31	]	]	PUNCT
cana-2206	35	32	.	.	PUNCT
cana-2206	36	1	these	these	DET
cana-2206	36	2	investigations	investigation	NOUN
cana-2206	36	3	emphasise	emphasise	VERB
cana-2206	36	4	the	the	DET
cana-2206	36	5	necessity	necessity	NOUN
cana-2206	36	6	for	for	ADP
cana-2206	36	7	robust	robust	ADJ
cana-2206	36	8	algorithms	algorithm	NOUN
cana-2206	36	9	that	that	PRON
cana-2206	36	10	can	can	AUX
cana-2206	36	11	handle	handle	VERB
cana-2206	36	12	a	a	DET
cana-2206	36	13	variety	variety	NOUN
cana-2206	36	14	of	of	ADP
cana-2206	36	15	real	real	ADJ
cana-2206	36	16	-	-	PUNCT
cana-2206	36	17	world	world	NOUN
cana-2206	36	18	settings	setting	NOUN
cana-2206	36	19	by	by	ADP
cana-2206	36	20	highlighting	highlight	VERB
cana-2206	36	21	the	the	DET
cana-2206	36	22	difficulties	difficulty	NOUN
cana-2206	36	23	caused	cause	VERB
cana-2206	36	24	by	by	ADP
cana-2206	36	25	differences	difference	NOUN
cana-2206	36	26	in	in	ADP
cana-2206	36	27	lighting	lighting	NOUN
cana-2206	36	28	,	,	PUNCT
cana-2206	36	29	occlusions	occlusion	NOUN
cana-2206	36	30	,	,	PUNCT
cana-2206	36	31	and	and	CCONJ
cana-2206	36	32	non	non	ADJ
cana-2206	36	33	-	-	ADJ
cana-2206	36	34	standard	standard	ADJ
cana-2206	36	35	license	license	NOUN
cana-2206	36	36	plate	plate	NOUN
cana-2206	36	37	formats	format	NOUN
cana-2206	36	38	[	[	X
cana-2206	36	39	7	7	NUM
cana-2206	36	40	]	]	PUNCT
cana-2206	36	41	.	.	PUNCT
cana-2206	37	1	in	in	ADP
cana-2206	37	2	anpr	anpr	PROPN
cana-2206	37	3	research	research	PROPN
cana-2206	37	4	,	,	PUNCT
cana-2206	37	5	hybrid	hybrid	ADJ
cana-2206	37	6	approaches	approach	NOUN
cana-2206	37	7	—	—	PUNCT
cana-2206	37	8	which	which	PRON
cana-2206	37	9	blend	blend	VERB
cana-2206	37	10	deep	deep	ADJ
cana-2206	37	11	learning	learning	NOUN
cana-2206	37	12	and	and	CCONJ
cana-2206	37	13	conventional	conventional	ADJ
cana-2206	37	14	image	image	NOUN
cana-2206	37	15	processing	processing	NOUN
cana-2206	37	16	methods	method	NOUN
cana-2206	37	17	—	—	PUNCT
cana-2206	37	18	have	have	AUX
cana-2206	37	19	become	become	VERB
cana-2206	37	20	a	a	DET
cana-2206	37	21	promising	promising	ADJ
cana-2206	37	22	direction	direction	NOUN
cana-2206	37	23	[	[	X
cana-2206	37	24	8	8	NUM
cana-2206	37	25	]	]	PUNCT
cana-2206	37	26	.	.	PUNCT
cana-2206	38	1	hybrid	hybrid	NOUN
cana-2206	38	2	models	model	NOUN
cana-2206	38	3	seek	seek	VERB
cana-2206	38	4	to	to	PART
cana-2206	38	5	improve	improve	VERB
cana-2206	38	6	license	license	NOUN
cana-2206	38	7	plate	plate	NOUN
cana-2206	38	8	detection	detection	NOUN
cana-2206	38	9	and	and	CCONJ
cana-2206	38	10	identification	identification	NOUN
cana-2206	38	11	systems	system	NOUN
cana-2206	38	12	'	'	PART
cana-2206	38	13	accuracy	accuracy	NOUN
cana-2206	38	14	and	and	CCONJ
cana-2206	38	15	resilience	resilience	NOUN
cana-2206	38	16	by	by	ADP
cana-2206	38	17	utilising	utilise	VERB
cana-2206	38	18	the	the	DET
cana-2206	38	19	synergies	synergy	NOUN
cana-2206	38	20	between	between	ADP
cana-2206	38	21	these	these	DET
cana-2206	38	22	techniques	technique	NOUN
cana-2206	38	23	.	.	PUNCT
cana-2206	39	1	scalability	scalability	NOUN
cana-2206	39	2	and	and	CCONJ
cana-2206	39	3	real	real	ADJ
cana-2206	39	4	-	-	PUNCT
cana-2206	39	5	time	time	NOUN
cana-2206	39	6	performance	performance	NOUN
cana-2206	39	7	continue	continue	VERB
cana-2206	39	8	to	to	PART
cana-2206	39	9	be	be	AUX
cana-2206	39	10	important	important	ADJ
cana-2206	39	11	factors	factor	NOUN
cana-2206	39	12	for	for	ADP
cana-2206	39	13	the	the	DET
cana-2206	39	14	actual	actual	ADJ
cana-2206	39	15	implementation	implementation	NOUN
cana-2206	39	16	of	of	ADP
cana-2206	39	17	anpr	anpr	PROPN
cana-2206	39	18	systems	system	NOUN
cana-2206	39	19	,	,	PUNCT
cana-2206	39	20	in	in	ADP
cana-2206	39	21	addition	addition	NOUN
cana-2206	39	22	to	to	ADP
cana-2206	39	23	the	the	DET
cana-2206	39	24	technological	technological	ADJ
cana-2206	39	25	difficulties	difficulty	NOUN
cana-2206	39	26	[	[	X
cana-2206	39	27	9	9	NUM
cana-2206	39	28	]	]	PUNCT
cana-2206	39	29	.	.	PUNCT
cana-2206	40	1	innovative	innovative	ADJ
cana-2206	40	2	approaches	approach	NOUN
cana-2206	40	3	and	and	CCONJ
cana-2206	40	4	effective	effective	ADJ
cana-2206	40	5	algorithms	algorithm	NOUN
cana-2206	40	6	that	that	PRON
cana-2206	40	7	can	can	AUX
cana-2206	40	8	handle	handle	VERB
cana-2206	40	9	massive	massive	ADJ
cana-2206	40	10	amounts	amount	NOUN
cana-2206	40	11	of	of	ADP
cana-2206	40	12	data	datum	NOUN
cana-2206	40	13	processing	processing	NOUN
cana-2206	40	14	in	in	ADP
cana-2206	40	15	real	real	ADJ
cana-2206	40	16	time	time	NOUN
cana-2206	40	17	are	be	AUX
cana-2206	40	18	needed	need	VERB
cana-2206	40	19	to	to	PART
cana-2206	40	20	address	address	VERB
cana-2206	40	21	these	these	DET
cana-2206	40	22	issues	issue	NOUN
cana-2206	40	23	.	.	PUNCT
cana-2206	41	1	a	a	DET
cana-2206	41	2	number	number	NOUN
cana-2206	41	3	of	of	ADP
cana-2206	41	4	studies	study	NOUN
cana-2206	41	5	concentrate	concentrate	VERB
cana-2206	41	6	on	on	ADP
cana-2206	41	7	using	use	VERB
cana-2206	41	8	hardware	hardware	NOUN
cana-2206	41	9	acceleration	acceleration	NOUN
cana-2206	41	10	and	and	CCONJ
cana-2206	41	11	parallel	parallel	NOUN
cana-2206	41	12	processing	processing	NOUN
cana-2206	41	13	to	to	PART
cana-2206	41	14	optimise	optimise	VERB
cana-2206	41	15	anpr	anpr	NOUN
cana-2206	41	16	algorithms	algorithm	NOUN
cana-2206	41	17	for	for	ADP
cana-2206	41	18	real	real	ADJ
cana-2206	41	19	-	-	PUNCT
cana-2206	41	20	time	time	NOUN
cana-2206	41	21	execution	execution	NOUN
cana-2206	41	22	[	[	X
cana-2206	41	23	10	10	NUM
cana-2206	41	24	]	]	PUNCT
cana-2206	41	25	.	.	PUNCT
cana-2206	42	1	resilience	resilience	NOUN
cana-2206	42	2	to	to	ADP
cana-2206	42	3	environmental	environmental	ADJ
cana-2206	42	4	variables	variable	NOUN
cana-2206	42	5	is	be	AUX
cana-2206	42	6	another	another	DET
cana-2206	42	7	area	area	NOUN
cana-2206	42	8	of	of	ADP
cana-2206	42	9	research	research	NOUN
cana-2206	42	10	,	,	PUNCT
cana-2206	42	11	with	with	ADP
cana-2206	42	12	studies	study	NOUN
cana-2206	42	13	investigating	investigate	VERB
cana-2206	42	14	methods	method	NOUN
cana-2206	42	15	to	to	PART
cana-2206	42	16	improve	improve	VERB
cana-2206	42	17	the	the	DET
cana-2206	42	18	robustness	robustness	NOUN
cana-2206	42	19	of	of	ADP
cana-2206	42	20	anpr	anpr	PROPN
cana-2206	42	21	systems	system	NOUN
cana-2206	42	22	against	against	ADP
cana-2206	42	23	factors	factor	NOUN
cana-2206	42	24	such	such	ADJ
cana-2206	42	25	as	as	ADP
cana-2206	42	26	varying	vary	VERB
cana-2206	42	27	lighting	lighting	NOUN
cana-2206	42	28	conditions	condition	NOUN
cana-2206	42	29	and	and	CCONJ
cana-2206	42	30	adverse	adverse	ADJ
cana-2206	42	31	weather	weather	NOUN
cana-2206	42	32	[	[	X
cana-2206	42	33	11	11	NUM
cana-2206	42	34	]	]	PUNCT
cana-2206	42	35	.	.	PUNCT
cana-2206	43	1	as	as	ADP
cana-2206	43	2	the	the	DET
cana-2206	43	3	deployment	deployment	NOUN
cana-2206	43	4	of	of	ADP
cana-2206	43	5	anpr	anpr	PROPN
cana-2206	43	6	systems	system	NOUN
cana-2206	43	7	increases	increase	NOUN
cana-2206	43	8	,	,	PUNCT
cana-2206	43	9	there	there	PRON
cana-2206	43	10	is	be	VERB
cana-2206	43	11	a	a	DET
cana-2206	43	12	growing	grow	VERB
cana-2206	43	13	emphasis	emphasis	NOUN
cana-2206	43	14	on	on	ADP
cana-2206	43	15	addressing	address	VERB
cana-2206	43	16	privacy	privacy	NOUN
cana-2206	43	17	concerns	concern	NOUN
cana-2206	43	18	and	and	CCONJ
cana-2206	43	19	ensuring	ensure	VERB
cana-2206	43	20	the	the	DET
cana-2206	43	21	ethical	ethical	ADJ
cana-2206	43	22	use	use	NOUN
cana-2206	43	23	of	of	ADP
cana-2206	43	24	this	this	DET
cana-2206	43	25	technology	technology	NOUN
cana-2206	43	26	[	[	X
cana-2206	43	27	12	12	NUM
cana-2206	43	28	]	]	PUNCT
cana-2206	43	29	.	.	PUNCT
cana-2206	44	1	scalability	scalability	NOUN
cana-2206	44	2	in	in	ADP
cana-2206	44	3	distributed	distributed	ADJ
cana-2206	44	4	environments	environment	NOUN
cana-2206	44	5	is	be	AUX
cana-2206	44	6	crucial	crucial	ADJ
cana-2206	44	7	for	for	ADP
cana-2206	44	8	anpr	anpr	PROPN
cana-2206	44	9	systems	system	NOUN
cana-2206	44	10	deployed	deploy	VERB
cana-2206	44	11	in	in	ADP
cana-2206	44	12	distributed	distribute	VERB
cana-2206	44	13	settings	setting	NOUN
cana-2206	44	14	such	such	ADJ
cana-2206	44	15	as	as	ADP
cana-2206	44	16	smart	smart	ADJ
cana-2206	44	17	cities	city	NOUN
cana-2206	44	18	and	and	CCONJ
cana-2206	44	19	highway	highway	NOUN
cana-2206	44	20	networks	network	NOUN
cana-2206	44	21	.	.	PUNCT
cana-2206	45	1	research	research	NOUN
cana-2206	45	2	has	have	AUX
cana-2206	45	3	proposed	propose	VERB
cana-2206	45	4	scalable	scalable	ADJ
cana-2206	45	5	architectures	architecture	NOUN
cana-2206	45	6	and	and	CCONJ
cana-2206	45	7	distributed	distribute	VERB
cana-2206	45	8	processing	processing	NOUN
cana-2206	45	9	techniques	technique	NOUN
cana-2206	45	10	to	to	PART
cana-2206	45	11	meet	meet	VERB
cana-2206	45	12	this	this	DET
cana-2206	45	13	demand	demand	NOUN
cana-2206	45	14	[	[	X
cana-2206	45	15	13	13	NUM
cana-2206	45	16	]	]	PUNCT
cana-2206	45	17	.	.	PUNCT
cana-2206	46	1	additionally	additionally	ADV
cana-2206	46	2	,	,	PUNCT
cana-2206	46	3	anpr	anpr	PROPN
cana-2206	46	4	systems	system	NOUN
cana-2206	46	5	are	be	AUX
cana-2206	46	6	increasingly	increasingly	ADV
cana-2206	46	7	being	be	AUX
cana-2206	46	8	integrated	integrate	VERB
cana-2206	46	9	with	with	ADP
cana-2206	46	10	the	the	DET
cana-2206	46	11	internet	internet	NOUN
cana-2206	46	12	of	of	ADP
cana-2206	46	13	things	thing	NOUN
cana-2206	46	14	(	(	PUNCT
cana-2206	46	15	iot	iot	NOUN
cana-2206	46	16	)	)	PUNCT
cana-2206	46	17	devices	device	NOUN
cana-2206	46	18	and	and	CCONJ
cana-2206	46	19	cloud	cloud	NOUN
cana-2206	46	20	computing	computing	NOUN
cana-2206	46	21	platforms	platform	NOUN
cana-2206	46	22	for	for	ADP
cana-2206	46	23	enhanced	enhanced	ADJ
cana-2206	46	24	functionality	functionality	NOUN
cana-2206	46	25	and	and	CCONJ
cana-2206	46	26	scalability	scalability	NOUN
cana-2206	46	27	[	[	X
cana-2206	46	28	14	14	NUM
cana-2206	46	29	]	]	PUNCT
cana-2206	46	30	.	.	PUNCT
cana-2206	47	1	strategies	strategy	NOUN
cana-2206	47	2	that	that	PRON
cana-2206	47	3	are	be	AUX
cana-2206	47	4	flexible	flexible	ADJ
cana-2206	47	5	enough	enough	ADV
cana-2206	47	6	to	to	PART
cana-2206	47	7	adjust	adjust	VERB
cana-2206	47	8	to	to	ADP
cana-2206	47	9	various	various	ADJ
cana-2206	47	10	domains	domain	NOUN
cana-2206	47	11	and	and	CCONJ
cana-2206	47	12	license	license	NOUN
cana-2206	47	13	plate	plate	NOUN
cana-2206	47	14	designs	design	NOUN
cana-2206	47	15	are	be	AUX
cana-2206	47	16	becoming	become	VERB
cana-2206	47	17	more	more	ADV
cana-2206	47	18	and	and	CCONJ
cana-2206	47	19	more	more	ADV
cana-2206	47	20	necessary	necessary	ADJ
cana-2206	47	21	as	as	SCONJ
cana-2206	47	22	anpr	anpr	PROPN
cana-2206	47	23	systems	system	NOUN
cana-2206	47	24	spread	spread	VERB
cana-2206	47	25	throughout	throughout	ADP
cana-2206	47	26	many	many	ADJ
cana-2206	47	27	jurisdictions	jurisdiction	NOUN
cana-2206	47	28	and	and	CCONJ
cana-2206	47	29	geographical	geographical	ADJ
cana-2206	47	30	areas	area	NOUN
cana-2206	47	31	.	.	PUNCT
cana-2206	48	1	cross	cross	ADJ
cana-2206	48	2	-	-	ADJ
cana-2206	48	3	domain	domain	ADJ
cana-2206	48	4	adaptation	adaptation	NOUN
cana-2206	48	5	research	research	NOUN
cana-2206	48	6	investigates	investigate	VERB
cana-2206	48	7	ways	way	NOUN
cana-2206	48	8	to	to	PART
cana-2206	48	9	make	make	VERB
cana-2206	48	10	anpr	anpr	NOUN
cana-2206	48	11	models	model	NOUN
cana-2206	48	12	more	more	ADV
cana-2206	48	13	broadly	broadly	ADV
cana-2206	48	14	applicable	applicable	ADJ
cana-2206	48	15	in	in	ADP
cana-2206	48	16	other	other	ADJ
cana-2206	48	17	contexts	context	NOUN
cana-2206	48	18	[	[	X
cana-2206	48	19	15	15	NUM
cana-2206	48	20	]	]	PUNCT
cana-2206	48	21	.	.	PUNCT
cana-2206	49	1	in	in	ADP
cana-2206	49	2	order	order	NOUN
cana-2206	49	3	to	to	PART
cana-2206	49	4	enable	enable	VERB
cana-2206	49	5	fair	fair	ADJ
cana-2206	49	6	comparison	comparison	NOUN
cana-2206	49	7	and	and	CCONJ
cana-2206	49	8	benchmarking	benchmarking	NOUN
cana-2206	49	9	of	of	ADP
cana-2206	49	10	various	various	ADJ
cana-2206	49	11	anpr	anpr	NOUN
cana-2206	49	12	algorithms	algorithm	NOUN
cana-2206	49	13	and	and	CCONJ
cana-2206	49	14	to	to	PART
cana-2206	49	15	promote	promote	VERB
cana-2206	49	16	repeatability	repeatability	NOUN
cana-2206	49	17	and	and	CCONJ
cana-2206	49	18	advancement	advancement	NOUN
cana-2206	49	19	in	in	ADP
cana-2206	49	20	the	the	DET
cana-2206	49	21	area	area	NOUN
cana-2206	49	22	,	,	PUNCT
cana-2206	49	23	efforts	effort	NOUN
cana-2206	49	24	are	be	AUX
cana-2206	49	25	also	also	ADV
cana-2206	49	26	being	be	AUX
cana-2206	49	27	made	make	VERB
cana-2206	49	28	to	to	PART
cana-2206	49	29	standardise	standardise	VERB
cana-2206	49	30	benchmark	benchmark	ADJ
cana-2206	49	31	datasets	dataset	NOUN
cana-2206	49	32	and	and	CCONJ
cana-2206	49	33	assessment	assessment	NOUN
cana-2206	49	34	measures	measure	NOUN
cana-2206	49	35	.	.	PUNCT
cana-2206	50	1	approach	approach	NOUN
cana-2206	50	2	to	to	PART
cana-2206	50	3	format	format	VERB
cana-2206	50	4	your	your	PRON
cana-2206	50	5	work	work	NOUN
cana-2206	50	6	is	be	AUX
cana-2206	50	7	to	to	PART
cana-2206	50	8	simply	simply	ADV
cana-2206	50	9	download	download	VERB
cana-2206	50	10	the	the	DET
cana-2206	50	11	template	template	NOUN
cana-2206	50	12	,	,	PUNCT
cana-2206	50	13	and	and	CCONJ
cana-2206	50	14	change	change	VERB
cana-2206	50	15	the	the	DET
cana-2206	50	16	text	text	NOUN
cana-2206	50	17	with	with	ADP
cana-2206	50	18	your	your	PRON
cana-2206	50	19	own	own	ADJ
cana-2206	50	20	information	information	NOUN
cana-2206	50	21	.	.	PUNCT
cana-2206	51	1	the	the	DET
cana-2206	51	2	majority	majority	NOUN
cana-2206	51	3	of	of	ADP
cana-2206	51	4	the	the	DET
cana-2206	51	5	formatting	format	VERB
cana-2206	51	6	requirements	requirement	NOUN
cana-2206	51	7	required	require	VERB
cana-2206	51	8	for	for	SCONJ
cana-2206	51	9	authors	author	NOUN
cana-2206	51	10	to	to	PART
cana-2206	51	11	prepare	prepare	VERB
cana-2206	51	12	electronic	electronic	ADJ
cana-2206	51	13	versions	version	NOUN
cana-2206	51	14	of	of	ADP
cana-2206	51	15	their	their	PRON
cana-2206	51	16	papers	paper	NOUN
cana-2206	51	17	are	be	AUX
cana-2206	51	18	included	include	VERB
cana-2206	51	19	in	in	ADP
cana-2206	51	20	this	this	DET
cana-2206	51	21	template	template	NOUN
cana-2206	51	22	.	.	PUNCT
cana-2206	52	1	communications	communication	NOUN
cana-2206	52	2	on	on	ADP
cana-2206	52	3	applied	apply	VERB
cana-2206	52	4	nonlinear	nonlinear	ADJ
cana-2206	52	5	analysis	analysis	NOUN
cana-2206	52	6	issn	issn	NOUN
cana-2206	52	7	:	:	PUNCT
cana-2206	52	8	1074	1074	NUM
cana-2206	52	9	-	-	PUNCT
cana-2206	52	10	133x	133x	NUM
cana-2206	52	11	vol	vol	NOUN
cana-2206	52	12	32	32	NUM
cana-2206	52	13	no	no	NOUN
cana-2206	52	14	.	.	PUNCT
cana-2206	53	1	1s	1s	NUM
cana-2206	53	2	(	(	PUNCT
cana-2206	53	3	2025	2025	NUM
cana-2206	53	4	)	)	PUNCT
cana-2206	53	5	421	421	NUM
cana-2206	53	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	53	7	3	3	X
cana-2206	53	8	.	.	NUM
cana-2206	53	9	proposed	propose	VERB
cana-2206	53	10	methodology	methodology	NOUN
cana-2206	53	11	3.1	3.1	NUM
cana-2206	53	12	software	software	NOUN
cana-2206	53	13	configuration	configuration	NOUN
cana-2206	53	14	python	python	NOUN
cana-2206	53	15	(	(	PUNCT
cana-2206	53	16	version	version	NOUN
cana-2206	53	17	3.6.7	3.6.7	NUM
cana-2206	53	18	)	)	PUNCT
cana-2206	53	19	is	be	AUX
cana-2206	53	20	the	the	DET
cana-2206	53	21	recommended	recommend	VERB
cana-2206	53	22	primary	primary	ADJ
cana-2206	53	23	programming	programming	NOUN
cana-2206	53	24	language	language	NOUN
cana-2206	53	25	due	due	ADJ
cana-2206	53	26	of	of	ADP
cana-2206	53	27	its	its	PRON
cana-2206	53	28	robust	robust	ADJ
cana-2206	53	29	community	community	NOUN
cana-2206	53	30	support	support	NOUN
cana-2206	53	31	,	,	PUNCT
cana-2206	53	32	large	large	ADJ
cana-2206	53	33	library	library	NOUN
cana-2206	53	34	,	,	PUNCT
cana-2206	53	35	and	and	CCONJ
cana-2206	53	36	ease	ease	NOUN
cana-2206	53	37	of	of	ADP
cana-2206	53	38	use	use	NOUN
cana-2206	53	39	.	.	PUNCT
cana-2206	54	1	because	because	SCONJ
cana-2206	54	2	of	of	ADP
cana-2206	54	3	its	its	PRON
cana-2206	54	4	adaptability	adaptability	NOUN
cana-2206	54	5	,	,	PUNCT
cana-2206	54	6	python	python	PROPN
cana-2206	54	7	is	be	AUX
cana-2206	54	8	a	a	DET
cana-2206	54	9	good	good	ADJ
cana-2206	54	10	choice	choice	NOUN
cana-2206	54	11	for	for	ADP
cana-2206	54	12	managing	manage	VERB
cana-2206	54	13	the	the	DET
cana-2206	54	14	different	different	ADJ
cana-2206	54	15	duties	duty	NOUN
cana-2206	54	16	related	relate	VERB
cana-2206	54	17	to	to	ADP
cana-2206	54	18	number	number	NOUN
cana-2206	54	19	plate	plate	NOUN
cana-2206	54	20	recognition	recognition	NOUN
cana-2206	54	21	.	.	PUNCT
cana-2206	55	1	3.1.1libraries	3.1.1librarie	NOUN
cana-2206	55	2	utilization	utilization	NOUN
cana-2206	55	3	in	in	ADP
cana-2206	55	4	its	its	PRON
cana-2206	55	5	development	development	NOUN
cana-2206	55	6	of	of	ADP
cana-2206	55	7	our	our	PRON
cana-2206	55	8	number	number	NOUN
cana-2206	55	9	plate	plate	NOUN
cana-2206	55	10	recognizer	recognizer	NOUN
cana-2206	55	11	,	,	PUNCT
cana-2206	55	12	several	several	ADJ
cana-2206	55	13	libraries	library	NOUN
cana-2206	55	14	and	and	CCONJ
cana-2206	55	15	best	good	ADJ
cana-2206	55	16	practices	practice	NOUN
cana-2206	55	17	were	be	AUX
cana-2206	55	18	utilized	utilize	VERB
cana-2206	55	19	to	to	PART
cana-2206	55	20	ensure	ensure	VERB
cana-2206	55	21	efficiency	efficiency	NOUN
cana-2206	55	22	and	and	CCONJ
cana-2206	55	23	accuracy	accuracy	NOUN
cana-2206	55	24	.	.	PUNCT
cana-2206	56	1	opencv	opencv	PROPN
cana-2206	56	2	(	(	PUNCT
cana-2206	56	3	version	version	NOUN
cana-2206	56	4	4.1.0	4.1.0	NUM
cana-2206	56	5	)	)	PUNCT
cana-2206	56	6	was	be	AUX
cana-2206	56	7	employed	employ	VERB
cana-2206	56	8	for	for	ADP
cana-2206	56	9	image	image	NOUN
cana-2206	56	10	capture	capture	NOUN
cana-2206	56	11	,	,	PUNCT
cana-2206	56	12	preprocessing	preprocessing	NOUN
cana-2206	56	13	,	,	PUNCT
cana-2206	56	14	and	and	CCONJ
cana-2206	56	15	analysis	analysis	NOUN
cana-2206	56	16	,	,	PUNCT
cana-2206	56	17	taking	take	VERB
cana-2206	56	18	advantage	advantage	NOUN
cana-2206	56	19	of	of	ADP
cana-2206	56	20	its	its	PRON
cana-2206	56	21	extensive	extensive	ADJ
cana-2206	56	22	functions	function	NOUN
cana-2206	56	23	for	for	ADP
cana-2206	56	24	tasks	task	NOUN
cana-2206	56	25	like	like	ADP
cana-2206	56	26	converting	convert	VERB
cana-2206	56	27	images	image	NOUN
cana-2206	56	28	to	to	ADP
cana-2206	56	29	grayscale	grayscale	NOUN
cana-2206	56	30	,	,	PUNCT
cana-2206	56	31	applying	apply	VERB
cana-2206	56	32	filters	filter	NOUN
cana-2206	56	33	,	,	PUNCT
cana-2206	56	34	and	and	CCONJ
cana-2206	56	35	contour	contour	NOUN
cana-2206	56	36	detection	detection	NOUN
cana-2206	56	37	.	.	PUNCT
cana-2206	57	1	tensorflow	tensorflow	NOUN
cana-2206	57	2	and	and	CCONJ
cana-2206	57	3	keras	keras	PROPN
cana-2206	57	4	were	be	AUX
cana-2206	57	5	used	use	VERB
cana-2206	57	6	for	for	ADP
cana-2206	57	7	deep	deep	ADJ
cana-2206	57	8	learning	learning	NOUN
cana-2206	57	9	tasks	task	NOUN
cana-2206	57	10	,	,	PUNCT
cana-2206	57	11	particularly	particularly	ADV
cana-2206	57	12	character	character	NOUN
cana-2206	57	13	recognition	recognition	NOUN
cana-2206	57	14	.	.	PUNCT
cana-2206	58	1	tensorflow	tensorflow	NOUN
cana-2206	58	2	provided	provide	VERB
cana-2206	58	3	a	a	DET
cana-2206	58	4	flexible	flexible	ADJ
cana-2206	58	5	framework	framework	NOUN
cana-2206	58	6	for	for	ADP
cana-2206	58	7	building	building	NOUN
cana-2206	58	8	and	and	CCONJ
cana-2206	58	9	training	training	NOUN
cana-2206	58	10	models	model	NOUN
cana-2206	58	11	,	,	PUNCT
cana-2206	58	12	while	while	SCONJ
cana-2206	58	13	keras	keras	PROPN
cana-2206	58	14	offered	offer	VERB
cana-2206	58	15	an	an	DET
cana-2206	58	16	easy	easy	ADJ
cana-2206	58	17	-	-	PUNCT
cana-2206	58	18	to	to	ADP
cana-2206	58	19	-	-	PUNCT
cana-2206	58	20	use	use	VERB
cana-2206	58	21	api	api	NOUN
cana-2206	58	22	for	for	ADP
cana-2206	58	23	constructing	construct	VERB
cana-2206	58	24	neural	neural	ADJ
cana-2206	58	25	networks	network	NOUN
cana-2206	58	26	.	.	PUNCT
cana-2206	59	1	3.1.2version	3.1.2version	NUM
cana-2206	59	2	management	management	NOUN
cana-2206	59	3	version	version	NOUN
cana-2206	59	4	management	management	NOUN
cana-2206	59	5	was	be	AUX
cana-2206	59	6	crucial	crucial	ADJ
cana-2206	59	7	to	to	PART
cana-2206	59	8	ensure	ensure	VERB
cana-2206	59	9	compatibility	compatibility	NOUN
cana-2206	59	10	between	between	ADP
cana-2206	59	11	different	different	ADJ
cana-2206	59	12	libraries	library	NOUN
cana-2206	59	13	and	and	CCONJ
cana-2206	59	14	the	the	DET
cana-2206	59	15	python	python	PROPN
cana-2206	59	16	interpreter	interpreter	NOUN
cana-2206	59	17	.	.	PUNCT
cana-2206	60	1	virtual	virtual	ADJ
cana-2206	60	2	environments	environment	NOUN
cana-2206	60	3	or	or	CCONJ
cana-2206	60	4	package	package	NOUN
cana-2206	60	5	managers	manager	NOUN
cana-2206	60	6	like	like	ADP
cana-2206	60	7	pipenv	pipenv	NOUN
cana-2206	60	8	or	or	CCONJ
cana-2206	60	9	conda	conda	NOUN
cana-2206	60	10	were	be	AUX
cana-2206	60	11	recommended	recommend	VERB
cana-2206	60	12	for	for	ADP
cana-2206	60	13	managing	manage	VERB
cana-2206	60	14	dependencies	dependency	NOUN
cana-2206	60	15	and	and	CCONJ
cana-2206	60	16	version	version	NOUN
cana-2206	60	17	control	control	NOUN
cana-2206	60	18	.	.	PUNCT
cana-2206	61	1	3.1.3code	3.1.3code	NUM
cana-2206	61	2	organization	organization	NOUN
cana-2206	61	3	code	code	NOUN
cana-2206	61	4	organization	organization	NOUN
cana-2206	61	5	followed	follow	VERB
cana-2206	61	6	best	good	ADJ
cana-2206	61	7	practices	practice	NOUN
cana-2206	61	8	,	,	PUNCT
cana-2206	61	9	with	with	ADP
cana-2206	61	10	the	the	DET
cana-2206	61	11	codebase	codebase	PROPN
cana-2206	61	12	divided	divide	VERB
cana-2206	61	13	into	into	ADP
cana-2206	61	14	reusable	reusable	ADJ
cana-2206	61	15	modules	module	NOUN
cana-2206	61	16	or	or	CCONJ
cana-2206	61	17	classes	class	NOUN
cana-2206	61	18	to	to	PART
cana-2206	61	19	enhance	enhance	VERB
cana-2206	61	20	readability	readability	NOUN
cana-2206	61	21	and	and	CCONJ
cana-2206	61	22	maintainability	maintainability	NOUN
cana-2206	61	23	.	.	PUNCT
cana-2206	62	1	3.1.4error	3.1.4error	NOUN
cana-2206	62	2	handling	handling	NOUN
cana-2206	62	3	&	&	CCONJ
cana-2206	62	4	testing	testing	NOUN
cana-2206	62	5	error	error	NOUN
cana-2206	62	6	handling	handling	NOUN
cana-2206	62	7	and	and	CCONJ
cana-2206	62	8	testing	testing	NOUN
cana-2206	62	9	was	be	AUX
cana-2206	62	10	implemented	implement	VERB
cana-2206	62	11	through	through	ADP
cana-2206	62	12	robust	robust	ADJ
cana-2206	62	13	mechanisms	mechanism	NOUN
cana-2206	62	14	,	,	PUNCT
cana-2206	62	15	utilizing	utilize	VERB
cana-2206	62	16	try	try	NOUN
cana-2206	62	17	-	-	PUNCT
cana-2206	62	18	except	except	NOUN
cana-2206	62	19	blocks	block	NOUN
cana-2206	62	20	to	to	PART
cana-2206	62	21	catch	catch	VERB
cana-2206	62	22	errors	error	NOUN
cana-2206	62	23	and	and	CCONJ
cana-2206	62	24	provide	provide	VERB
cana-2206	62	25	informative	informative	ADJ
cana-2206	62	26	messages	message	NOUN
cana-2206	62	27	or	or	CCONJ
cana-2206	62	28	log	log	VERB
cana-2206	62	29	entries	entry	NOUN
cana-2206	62	30	for	for	ADP
cana-2206	62	31	debugging	debugging	NOUN
cana-2206	62	32	.	.	PUNCT
cana-2206	63	1	testing	testing	NOUN
cana-2206	63	2	and	and	CCONJ
cana-2206	63	3	debugging	debugging	NOUN
cana-2206	63	4	were	be	AUX
cana-2206	63	5	thorough	thorough	ADJ
cana-2206	63	6	,	,	PUNCT
cana-2206	63	7	including	include	VERB
cana-2206	63	8	unit	unit	NOUN
cana-2206	63	9	tests	test	NOUN
cana-2206	63	10	,	,	PUNCT
cana-2206	63	11	integration	integration	NOUN
cana-2206	63	12	tests	test	NOUN
cana-2206	63	13	,	,	PUNCT
cana-2206	63	14	and	and	CCONJ
cana-2206	63	15	end	end	NOUN
cana-2206	63	16	-	-	PUNCT
cana-2206	63	17	to	to	ADP
cana-2206	63	18	-	-	PUNCT
cana-2206	63	19	end	end	NOUN
cana-2206	63	20	tests	test	NOUN
cana-2206	63	21	,	,	PUNCT
cana-2206	63	22	supported	support	VERB
cana-2206	63	23	by	by	ADP
cana-2206	63	24	debugging	debugging	NOUN
cana-2206	63	25	tools	tool	NOUN
cana-2206	63	26	and	and	CCONJ
cana-2206	63	27	techniques	technique	NOUN
cana-2206	63	28	to	to	PART
cana-2206	63	29	effectively	effectively	ADV
cana-2206	63	30	identify	identify	VERB
cana-2206	63	31	and	and	CCONJ
cana-2206	63	32	resolve	resolve	VERB
cana-2206	63	33	issues	issue	NOUN
cana-2206	63	34	.	.	PUNCT
cana-2206	64	1	3.2	3.2	NUM
cana-2206	64	2	image	image	NOUN
cana-2206	64	3	processing	process	VERB
cana-2206	64	4	the	the	DET
cana-2206	64	5	acquired	acquire	VERB
cana-2206	64	6	image	image	NOUN
cana-2206	64	7	must	must	AUX
cana-2206	64	8	first	first	ADV
cana-2206	64	9	be	be	AUX
cana-2206	64	10	converted	convert	VERB
cana-2206	64	11	to	to	ADP
cana-2206	64	12	greyscale	greyscale	NOUN
cana-2206	64	13	,	,	PUNCT
cana-2206	64	14	a	a	DET
cana-2206	64	15	critical	critical	ADJ
cana-2206	64	16	change	change	NOUN
cana-2206	64	17	that	that	PRON
cana-2206	64	18	makes	make	VERB
cana-2206	64	19	the	the	DET
cana-2206	64	20	rest	rest	NOUN
cana-2206	64	21	of	of	ADP
cana-2206	64	22	the	the	DET
cana-2206	64	23	processing	processing	NOUN
cana-2206	64	24	stages	stage	NOUN
cana-2206	64	25	easier	easy	ADJ
cana-2206	64	26	.	.	PUNCT
cana-2206	65	1	compared	compare	VERB
cana-2206	65	2	to	to	ADP
cana-2206	65	3	colour	colour	ADJ
cana-2206	65	4	photos	photo	NOUN
cana-2206	65	5	,	,	PUNCT
cana-2206	65	6	greyscale	greyscale	NOUN
cana-2206	65	7	images	image	NOUN
cana-2206	65	8	are	be	AUX
cana-2206	65	9	simpler	simple	ADJ
cana-2206	65	10	to	to	PART
cana-2206	65	11	analyse	analyse	VERB
cana-2206	65	12	and	and	CCONJ
cana-2206	65	13	work	work	VERB
cana-2206	65	14	with	with	ADP
cana-2206	65	15	because	because	SCONJ
cana-2206	65	16	they	they	PRON
cana-2206	65	17	simply	simply	ADV
cana-2206	65	18	provide	provide	VERB
cana-2206	65	19	intensity	intensity	NOUN
cana-2206	65	20	values	value	NOUN
cana-2206	65	21	.	.	PUNCT
cana-2206	66	1	by	by	ADP
cana-2206	66	2	reducing	reduce	VERB
cana-2206	66	3	the	the	DET
cana-2206	66	4	complexity	complexity	NOUN
cana-2206	66	5	of	of	ADP
cana-2206	66	6	the	the	DET
cana-2206	66	7	data	datum	NOUN
cana-2206	66	8	,	,	PUNCT
cana-2206	66	9	this	this	DET
cana-2206	66	10	transformation	transformation	NOUN
cana-2206	66	11	enables	enable	VERB
cana-2206	66	12	the	the	DET
cana-2206	66	13	license	license	NOUN
cana-2206	66	14	plate	plate	NOUN
cana-2206	66	15	recognition	recognition	NOUN
cana-2206	66	16	system	system	NOUN
cana-2206	66	17	's	's	PART
cana-2206	66	18	later	later	ADJ
cana-2206	66	19	phases	phase	NOUN
cana-2206	66	20	to	to	PART
cana-2206	66	21	interpret	interpret	VERB
cana-2206	66	22	information	information	NOUN
cana-2206	66	23	more	more	ADV
cana-2206	66	24	effectively	effectively	ADV
cana-2206	66	25	and	and	CCONJ
cana-2206	66	26	selectively	selectively	ADV
cana-2206	66	27	.	.	PUNCT
cana-2206	67	1	the	the	DET
cana-2206	67	2	greyscale	greyscale	ADJ
cana-2206	67	3	image	image	NOUN
cana-2206	67	4	is	be	AUX
cana-2206	67	5	then	then	ADV
cana-2206	67	6	subjected	subject	VERB
cana-2206	67	7	to	to	ADP
cana-2206	67	8	noise	noise	NOUN
cana-2206	67	9	reduction	reduction	NOUN
cana-2206	67	10	techniques	technique	NOUN
cana-2206	67	11	in	in	ADP
cana-2206	67	12	order	order	NOUN
cana-2206	67	13	to	to	PART
cana-2206	67	14	improve	improve	VERB
cana-2206	67	15	its	its	PRON
cana-2206	67	16	quality	quality	NOUN
cana-2206	67	17	and	and	CCONJ
cana-2206	67	18	clarity	clarity	NOUN
cana-2206	67	19	.	.	PUNCT
cana-2206	68	1	techniques	technique	NOUN
cana-2206	68	2	like	like	ADP
cana-2206	68	3	median	median	ADJ
cana-2206	68	4	filtering	filtering	NOUN
cana-2206	68	5	and	and	CCONJ
cana-2206	68	6	gaussian	gaussian	ADJ
cana-2206	68	7	blurring	blurring	NOUN
cana-2206	68	8	are	be	AUX
cana-2206	68	9	frequently	frequently	ADV
cana-2206	68	10	employed	employ	VERB
cana-2206	68	11	to	to	PART
cana-2206	68	12	eliminate	eliminate	VERB
cana-2206	68	13	any	any	DET
cana-2206	68	14	undesired	undesired	ADJ
cana-2206	68	15	noise	noise	NOUN
cana-2206	68	16	or	or	CCONJ
cana-2206	68	17	artefacts	artefact	NOUN
cana-2206	68	18	from	from	ADP
cana-2206	68	19	the	the	DET
cana-2206	68	20	picture	picture	NOUN
cana-2206	68	21	.	.	PUNCT
cana-2206	69	1	in	in	ADP
cana-2206	69	2	order	order	NOUN
cana-2206	69	3	to	to	PART
cana-2206	69	4	improve	improve	VERB
cana-2206	69	5	the	the	DET
cana-2206	69	6	general	general	ADJ
cana-2206	69	7	visibility	visibility	NOUN
cana-2206	69	8	of	of	ADP
cana-2206	69	9	important	important	ADJ
cana-2206	69	10	characteristics	characteristic	NOUN
cana-2206	69	11	and	and	CCONJ
cana-2206	69	12	facilitate	facilitate	VERB
cana-2206	69	13	the	the	DET
cana-2206	69	14	subsequent	subsequent	ADJ
cana-2206	69	15	steps	step	NOUN
cana-2206	69	16	of	of	ADP
cana-2206	69	17	extracting	extract	VERB
cana-2206	69	18	pertinent	pertinent	ADJ
cana-2206	69	19	details	detail	NOUN
cana-2206	69	20	from	from	ADP
cana-2206	69	21	the	the	DET
cana-2206	69	22	image	image	NOUN
cana-2206	69	23	,	,	PUNCT
cana-2206	69	24	this	this	DET
cana-2206	69	25	step	step	NOUN
cana-2206	69	26	is	be	AUX
cana-2206	69	27	crucial	crucial	ADJ
cana-2206	69	28	.	.	PUNCT
cana-2206	70	1	once	once	SCONJ
cana-2206	70	2	the	the	DET
cana-2206	70	3	image	image	NOUN
cana-2206	70	4	is	be	AUX
cana-2206	70	5	cleaned	clean	VERB
cana-2206	70	6	up	up	ADP
cana-2206	70	7	,	,	PUNCT
cana-2206	70	8	thresholding	thresholde	VERB
cana-2206	70	9	techniques	technique	NOUN
cana-2206	70	10	are	be	AUX
cana-2206	70	11	employed	employ	VERB
cana-2206	70	12	to	to	PART
cana-2206	70	13	segment	segment	VERB
cana-2206	70	14	the	the	DET
cana-2206	70	15	license	license	NOUN
cana-2206	70	16	plate	plate	NOUN
cana-2206	70	17	characters	character	NOUN
cana-2206	70	18	from	from	ADP
cana-2206	70	19	the	the	DET
cana-2206	70	20	background	background	NOUN
cana-2206	70	21	.	.	PUNCT
cana-2206	71	1	thresholding	thresholde	VERB
cana-2206	71	2	involves	involve	NOUN
cana-2206	71	3	setting	set	VERB
cana-2206	71	4	a	a	DET
cana-2206	71	5	specific	specific	ADJ
cana-2206	71	6	intensity	intensity	NOUN
cana-2206	71	7	value	value	NOUN
cana-2206	71	8	,	,	PUNCT
cana-2206	71	9	where	where	SCONJ
cana-2206	71	10	pixels	pixel	NOUN
cana-2206	71	11	in	in	ADP
cana-2206	71	12	the	the	DET
cana-2206	71	13	image	image	NOUN
cana-2206	71	14	are	be	AUX
cana-2206	71	15	classified	classify	VERB
cana-2206	71	16	as	as	ADP
cana-2206	71	17	either	either	DET
cana-2206	71	18	foreground	foreground	NOUN
cana-2206	71	19	(	(	PUNCT
cana-2206	71	20	characters	character	NOUN
cana-2206	71	21	)	)	PUNCT
cana-2206	71	22	or	or	CCONJ
cana-2206	71	23	background	background	NOUN
cana-2206	71	24	based	base	VERB
cana-2206	71	25	on	on	ADP
cana-2206	71	26	their	their	PRON
cana-2206	71	27	intensity	intensity	NOUN
cana-2206	71	28	levels	level	NOUN
cana-2206	71	29	.	.	PUNCT
cana-2206	72	1	adaptive	adaptive	ADJ
cana-2206	72	2	thresholding	thresholding	NOUN
cana-2206	72	3	methods	method	NOUN
cana-2206	72	4	may	may	AUX
cana-2206	72	5	also	also	ADV
cana-2206	72	6	be	be	AUX
cana-2206	72	7	used	use	VERB
cana-2206	72	8	to	to	PART
cana-2206	72	9	accommodate	accommodate	VERB
cana-2206	72	10	variations	variation	NOUN
cana-2206	72	11	in	in	ADP
cana-2206	72	12	lighting	lighting	NOUN
cana-2206	72	13	conditions	condition	NOUN
cana-2206	72	14	,	,	PUNCT
cana-2206	72	15	ensuring	ensure	VERB
cana-2206	72	16	accurate	accurate	ADJ
cana-2206	72	17	segmentation	segmentation	NOUN
cana-2206	72	18	across	across	ADP
cana-2206	72	19	different	different	ADJ
cana-2206	72	20	scenarios	scenario	NOUN
cana-2206	72	21	.	.	PUNCT
cana-2206	73	1	morphological	morphological	ADJ
cana-2206	73	2	operations	operation	NOUN
cana-2206	73	3	are	be	AUX
cana-2206	73	4	then	then	ADV
cana-2206	73	5	performed	perform	VERB
cana-2206	73	6	to	to	PART
cana-2206	73	7	refine	refine	VERB
cana-2206	73	8	the	the	DET
cana-2206	73	9	segmented	segment	VERB
cana-2206	73	10	characters	character	NOUN
cana-2206	73	11	further	far	ADV
cana-2206	73	12	and	and	CCONJ
cana-2206	73	13	eliminate	eliminate	VERB
cana-2206	73	14	any	any	DET
cana-2206	73	15	small	small	ADJ
cana-2206	73	16	defects	defect	NOUN
cana-2206	73	17	or	or	CCONJ
cana-2206	73	18	irregularities	irregularity	NOUN
cana-2206	73	19	.	.	PUNCT
cana-2206	74	1	these	these	DET
cana-2206	74	2	operations	operation	NOUN
cana-2206	74	3	include	include	VERB
cana-2206	74	4	techniques	technique	NOUN
cana-2206	74	5	such	such	ADJ
cana-2206	74	6	as	as	ADP
cana-2206	74	7	erosion	erosion	NOUN
cana-2206	74	8	and	and	CCONJ
cana-2206	74	9	dilation	dilation	NOUN
cana-2206	74	10	.	.	PUNCT
cana-2206	75	1	erosion	erosion	NOUN
cana-2206	75	2	helps	help	VERB
cana-2206	75	3	shrink	shrink	VERB
cana-2206	75	4	the	the	DET
cana-2206	75	5	foreground	foreground	NOUN
cana-2206	75	6	areas	area	NOUN
cana-2206	75	7	,	,	PUNCT
cana-2206	75	8	while	while	SCONJ
cana-2206	75	9	dilation	dilation	NOUN
cana-2206	75	10	expands	expand	VERB
cana-2206	75	11	them	they	PRON
cana-2206	75	12	,	,	PUNCT
cana-2206	75	13	thereby	thereby	ADV
cana-2206	75	14	improving	improve	VERB
cana-2206	75	15	the	the	DET
cana-2206	75	16	segmentation	segmentation	NOUN
cana-2206	75	17	of	of	ADP
cana-2206	75	18	characters	character	NOUN
cana-2206	75	19	and	and	CCONJ
cana-2206	75	20	enhancing	enhance	VERB
cana-2206	75	21	their	their	PRON
cana-2206	75	22	communications	communication	NOUN
cana-2206	75	23	on	on	ADP
cana-2206	75	24	applied	apply	VERB
cana-2206	75	25	nonlinear	nonlinear	ADJ
cana-2206	75	26	analysis	analysis	NOUN
cana-2206	75	27	issn	issn	NOUN
cana-2206	75	28	:	:	PUNCT
cana-2206	75	29	1074	1074	NUM
cana-2206	75	30	-	-	PUNCT
cana-2206	75	31	133x	133x	NUM
cana-2206	75	32	vol	vol	NOUN
cana-2206	75	33	32	32	NUM
cana-2206	75	34	no	no	NOUN
cana-2206	75	35	.	.	PUNCT
cana-2206	76	1	1s	1s	NUM
cana-2206	76	2	(	(	PUNCT
cana-2206	76	3	2025	2025	NUM
cana-2206	76	4	)	)	PUNCT
cana-2206	76	5	422	422	NUM
cana-2206	76	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	76	7	definition	definition	NOUN
cana-2206	76	8	for	for	ADP
cana-2206	76	9	the	the	DET
cana-2206	76	10	subsequent	subsequent	ADJ
cana-2206	76	11	recognition	recognition	NOUN
cana-2206	76	12	process	process	NOUN
cana-2206	76	13	.	.	PUNCT
cana-2206	77	1	the	the	DET
cana-2206	77	2	next	next	ADJ
cana-2206	77	3	step	step	NOUN
cana-2206	77	4	involves	involve	VERB
cana-2206	77	5	contour	contour	NOUN
cana-2206	77	6	detection	detection	NOUN
cana-2206	77	7	,	,	PUNCT
cana-2206	77	8	where	where	SCONJ
cana-2206	77	9	algorithms	algorithm	NOUN
cana-2206	77	10	are	be	AUX
cana-2206	77	11	used	use	VERB
cana-2206	77	12	to	to	PART
cana-2206	77	13	identify	identify	VERB
cana-2206	77	14	and	and	CCONJ
cana-2206	77	15	extract	extract	VERB
cana-2206	77	16	individual	individual	ADJ
cana-2206	77	17	characters	character	NOUN
cana-2206	77	18	from	from	ADP
cana-2206	77	19	the	the	DET
cana-2206	77	20	segmented	segment	VERB
cana-2206	77	21	image	image	NOUN
cana-2206	77	22	.	.	PUNCT
cana-2206	78	1	contours	contours	PROPN
cana-2206	78	2	represent	represent	VERB
cana-2206	78	3	the	the	DET
cana-2206	78	4	boundaries	boundary	NOUN
cana-2206	78	5	of	of	ADP
cana-2206	78	6	objects	object	NOUN
cana-2206	78	7	within	within	ADP
cana-2206	78	8	an	an	DET
cana-2206	78	9	image	image	NOUN
cana-2206	78	10	,	,	PUNCT
cana-2206	78	11	and	and	CCONJ
cana-2206	78	12	detecting	detect	VERB
cana-2206	78	13	them	they	PRON
cana-2206	78	14	allows	allow	VERB
cana-2206	78	15	for	for	ADP
cana-2206	78	16	precise	precise	ADJ
cana-2206	78	17	localization	localization	NOUN
cana-2206	78	18	of	of	ADP
cana-2206	78	19	the	the	DET
cana-2206	78	20	characters	character	NOUN
cana-2206	78	21	on	on	ADP
cana-2206	78	22	the	the	DET
cana-2206	78	23	license	license	NOUN
cana-2206	78	24	plate	plate	NOUN
cana-2206	78	25	.	.	PUNCT
cana-2206	79	1	this	this	PRON
cana-2206	79	2	is	be	AUX
cana-2206	79	3	a	a	DET
cana-2206	79	4	critical	critical	ADJ
cana-2206	79	5	step	step	NOUN
cana-2206	79	6	in	in	ADP
cana-2206	79	7	ensuring	ensure	VERB
cana-2206	79	8	that	that	SCONJ
cana-2206	79	9	each	each	DET
cana-2206	79	10	character	character	NOUN
cana-2206	79	11	is	be	AUX
cana-2206	79	12	accurately	accurately	ADV
cana-2206	79	13	isolated	isolate	VERB
cana-2206	79	14	for	for	ADP
cana-2206	79	15	recognition	recognition	NOUN
cana-2206	79	16	.	.	PUNCT
cana-2206	80	1	to	to	PART
cana-2206	80	2	enhance	enhance	VERB
cana-2206	80	3	the	the	DET
cana-2206	80	4	readability	readability	NOUN
cana-2206	80	5	of	of	ADP
cana-2206	80	6	the	the	DET
cana-2206	80	7	characters	character	NOUN
cana-2206	80	8	,	,	PUNCT
cana-2206	80	9	additional	additional	ADJ
cana-2206	80	10	improvement	improvement	NOUN
cana-2206	80	11	techniques	technique	NOUN
cana-2206	80	12	such	such	ADJ
cana-2206	80	13	as	as	ADP
cana-2206	80	14	contrast	contrast	NOUN
cana-2206	80	15	stretching	stretch	VERB
cana-2206	80	16	or	or	CCONJ
cana-2206	80	17	histogram	histogram	NOUN
cana-2206	80	18	equalization	equalization	NOUN
cana-2206	80	19	are	be	AUX
cana-2206	80	20	applied	apply	VERB
cana-2206	80	21	.	.	PUNCT
cana-2206	81	1	these	these	DET
cana-2206	81	2	methods	method	NOUN
cana-2206	81	3	help	help	VERB
cana-2206	81	4	to	to	PART
cana-2206	81	5	increase	increase	VERB
cana-2206	81	6	the	the	DET
cana-2206	81	7	contrast	contrast	NOUN
cana-2206	81	8	and	and	CCONJ
cana-2206	81	9	overall	overall	ADJ
cana-2206	81	10	visibility	visibility	NOUN
cana-2206	81	11	of	of	ADP
cana-2206	81	12	the	the	DET
cana-2206	81	13	characters	character	NOUN
cana-2206	81	14	,	,	PUNCT
cana-2206	81	15	making	make	VERB
cana-2206	81	16	them	they	PRON
cana-2206	81	17	easier	easy	ADJ
cana-2206	81	18	to	to	PART
cana-2206	81	19	recognize	recognize	VERB
cana-2206	81	20	by	by	ADP
cana-2206	81	21	the	the	DET
cana-2206	81	22	character	character	NOUN
cana-2206	81	23	recognition	recognition	NOUN
cana-2206	81	24	model	model	NOUN
cana-2206	81	25	.	.	PUNCT
cana-2206	82	1	by	by	ADP
cana-2206	82	2	optimizing	optimize	VERB
cana-2206	82	3	the	the	DET
cana-2206	82	4	appearance	appearance	NOUN
cana-2206	82	5	of	of	ADP
cana-2206	82	6	the	the	DET
cana-2206	82	7	characters	character	NOUN
cana-2206	82	8	,	,	PUNCT
cana-2206	82	9	these	these	DET
cana-2206	82	10	techniques	technique	NOUN
cana-2206	82	11	contribute	contribute	VERB
cana-2206	82	12	to	to	ADP
cana-2206	82	13	higher	high	ADJ
cana-2206	82	14	accuracy	accuracy	NOUN
cana-2206	82	15	in	in	ADP
cana-2206	82	16	the	the	DET
cana-2206	82	17	recognition	recognition	NOUN
cana-2206	82	18	process	process	NOUN
cana-2206	82	19	.	.	PUNCT
cana-2206	83	1	additionally	additionally	ADV
cana-2206	83	2	,	,	PUNCT
cana-2206	83	3	adaptive	adaptive	ADJ
cana-2206	83	4	image	image	NOUN
cana-2206	83	5	processing	processing	NOUN
cana-2206	83	6	techniques	technique	NOUN
cana-2206	83	7	are	be	AUX
cana-2206	83	8	used	use	VERB
cana-2206	83	9	to	to	PART
cana-2206	83	10	dynamically	dynamically	ADV
cana-2206	83	11	modify	modify	VERB
cana-2206	83	12	parameters	parameter	NOUN
cana-2206	83	13	according	accord	VERB
cana-2206	83	14	on	on	ADP
cana-2206	83	15	the	the	DET
cana-2206	83	16	properties	property	NOUN
cana-2206	83	17	of	of	ADP
cana-2206	83	18	the	the	DET
cana-2206	83	19	input	input	NOUN
cana-2206	83	20	image	image	NOUN
cana-2206	83	21	.	.	PUNCT
cana-2206	84	1	this	this	PRON
cana-2206	84	2	guarantees	guarantee	VERB
cana-2206	84	3	strong	strong	ADJ
cana-2206	84	4	performance	performance	NOUN
cana-2206	84	5	under	under	ADP
cana-2206	84	6	various	various	ADJ
cana-2206	84	7	environmental	environmental	ADJ
cana-2206	84	8	circumstances	circumstance	NOUN
cana-2206	84	9	and	and	CCONJ
cana-2206	84	10	license	license	NOUN
cana-2206	84	11	plate	plate	NOUN
cana-2206	84	12	kinds	kind	NOUN
cana-2206	84	13	,	,	PUNCT
cana-2206	84	14	improving	improve	VERB
cana-2206	84	15	the	the	DET
cana-2206	84	16	system	system	NOUN
cana-2206	84	17	's	's	PART
cana-2206	84	18	overall	overall	ADJ
cana-2206	84	19	accuracy	accuracy	NOUN
cana-2206	84	20	and	and	CCONJ
cana-2206	84	21	dependability	dependability	NOUN
cana-2206	84	22	.	.	PUNCT
cana-2206	85	1	through	through	ADP
cana-2206	85	2	the	the	DET
cana-2206	85	3	customisation	customisation	NOUN
cana-2206	85	4	of	of	ADP
cana-2206	85	5	processing	processing	NOUN
cana-2206	85	6	methods	method	NOUN
cana-2206	85	7	to	to	ADP
cana-2206	85	8	the	the	DET
cana-2206	85	9	particular	particular	ADJ
cana-2206	85	10	image	image	NOUN
cana-2206	85	11	,	,	PUNCT
cana-2206	85	12	the	the	DET
cana-2206	85	13	system	system	NOUN
cana-2206	85	14	can	can	AUX
cana-2206	85	15	continue	continue	VERB
cana-2206	85	16	to	to	PART
cana-2206	85	17	function	function	VERB
cana-2206	85	18	well	well	ADV
cana-2206	85	19	under	under	ADP
cana-2206	85	20	demanding	demand	VERB
cana-2206	85	21	conditions	condition	NOUN
cana-2206	85	22	.	.	PUNCT
cana-2206	86	1	finally	finally	ADV
cana-2206	86	2	,	,	PUNCT
cana-2206	86	3	the	the	DET
cana-2206	86	4	effectiveness	effectiveness	NOUN
cana-2206	86	5	of	of	ADP
cana-2206	86	6	the	the	DET
cana-2206	86	7	image	image	NOUN
cana-2206	86	8	processing	processing	NOUN
cana-2206	86	9	and	and	CCONJ
cana-2206	86	10	analysis	analysis	NOUN
cana-2206	86	11	methods	method	NOUN
cana-2206	86	12	is	be	AUX
cana-2206	86	13	validated	validate	VERB
cana-2206	86	14	through	through	ADP
cana-2206	86	15	rigorous	rigorous	ADJ
cana-2206	86	16	testing	testing	NOUN
cana-2206	86	17	and	and	CCONJ
cana-2206	86	18	evaluation	evaluation	NOUN
cana-2206	86	19	.	.	PUNCT
cana-2206	87	1	metrics	metric	NOUN
cana-2206	87	2	such	such	ADJ
cana-2206	87	3	as	as	ADP
cana-2206	87	4	segmentation	segmentation	NOUN
cana-2206	87	5	accuracy	accuracy	NOUN
cana-2206	87	6	,	,	PUNCT
cana-2206	87	7	character	character	NOUN
cana-2206	87	8	localization	localization	NOUN
cana-2206	87	9	precision	precision	NOUN
cana-2206	87	10	,	,	PUNCT
cana-2206	87	11	and	and	CCONJ
cana-2206	87	12	processing	processing	NOUN
cana-2206	87	13	speed	speed	NOUN
cana-2206	87	14	are	be	AUX
cana-2206	87	15	measured	measure	VERB
cana-2206	87	16	to	to	PART
cana-2206	87	17	assess	assess	VERB
cana-2206	87	18	the	the	DET
cana-2206	87	19	performance	performance	NOUN
cana-2206	87	20	of	of	ADP
cana-2206	87	21	the	the	DET
cana-2206	87	22	system	system	NOUN
cana-2206	87	23	under	under	ADP
cana-2206	87	24	various	various	ADJ
cana-2206	87	25	conditions	condition	NOUN
cana-2206	87	26	.	.	PUNCT
cana-2206	88	1	this	this	DET
cana-2206	88	2	validation	validation	NOUN
cana-2206	88	3	step	step	NOUN
cana-2206	88	4	is	be	AUX
cana-2206	88	5	crucial	crucial	ADJ
cana-2206	88	6	for	for	ADP
cana-2206	88	7	ensuring	ensure	VERB
cana-2206	88	8	that	that	SCONJ
cana-2206	88	9	the	the	DET
cana-2206	88	10	system	system	NOUN
cana-2206	88	11	meets	meet	VERB
cana-2206	88	12	the	the	DET
cana-2206	88	13	required	require	VERB
cana-2206	88	14	standards	standard	NOUN
cana-2206	88	15	and	and	CCONJ
cana-2206	88	16	performs	perform	VERB
cana-2206	88	17	effectively	effectively	ADV
cana-2206	88	18	in	in	ADP
cana-2206	88	19	real	real	ADJ
cana-2206	88	20	-	-	PUNCT
cana-2206	88	21	world	world	NOUN
cana-2206	88	22	applications	application	NOUN
cana-2206	88	23	.	.	PUNCT
cana-2206	89	1	3.3	3.3	NUM
cana-2206	89	2	system	system	NOUN
cana-2206	89	3	workflow	workflow	NOUN
cana-2206	89	4	the	the	DET
cana-2206	89	5	flowchart	flowchart	NOUN
cana-2206	89	6	provideded	providede	VERB
cana-2206	89	7	outlines	outline	VERB
cana-2206	89	8	the	the	DET
cana-2206	89	9	sequential	sequential	ADJ
cana-2206	89	10	steps	step	NOUN
cana-2206	89	11	involved	involve	VERB
cana-2206	89	12	in	in	ADP
cana-2206	89	13	the	the	DET
cana-2206	89	14	automated	automate	VERB
cana-2206	89	15	license	license	NOUN
cana-2206	89	16	plate	plate	NOUN
cana-2206	89	17	recognition	recognition	NOUN
cana-2206	89	18	(	(	PUNCT
cana-2206	89	19	alpr	alpr	NOUN
cana-2206	89	20	)	)	PUNCT
cana-2206	89	21	system	system	NOUN
cana-2206	89	22	.	.	PUNCT
cana-2206	90	1	here	here	ADV
cana-2206	90	2	's	be	AUX
cana-2206	90	3	an	an	DET
cana-2206	90	4	explanation	explanation	NOUN
cana-2206	90	5	of	of	ADP
cana-2206	90	6	each	each	DET
cana-2206	90	7	module	module	NOUN
cana-2206	90	8	:	:	PUNCT
cana-2206	90	9	figure	figure	NOUN
cana-2206	90	10	1	1	NUM
cana-2206	90	11	.	.	PUNCT
cana-2206	90	12	system	system	NOUN
cana-2206	90	13	flow	flow	NOUN
cana-2206	90	14	diagram	diagram	NOUN
cana-2206	90	15	3.3.1	3.3.1	NUM
cana-2206	90	16	input	input	NOUN
cana-2206	90	17	image	image	NOUN
cana-2206	90	18	this	this	PRON
cana-2206	90	19	is	be	AUX
cana-2206	90	20	where	where	SCONJ
cana-2206	90	21	the	the	DET
cana-2206	90	22	alpr	alpr	NOUN
cana-2206	90	23	system	system	NOUN
cana-2206	90	24	begins	begin	VERB
cana-2206	90	25	.	.	PUNCT
cana-2206	91	1	the	the	DET
cana-2206	91	2	input	input	NOUN
cana-2206	91	3	module	module	NOUN
cana-2206	91	4	is	be	AUX
cana-2206	91	5	in	in	ADP
cana-2206	91	6	charge	charge	NOUN
cana-2206	91	7	of	of	ADP
cana-2206	91	8	taking	take	VERB
cana-2206	91	9	pictures	picture	NOUN
cana-2206	91	10	or	or	CCONJ
cana-2206	91	11	video	video	NOUN
cana-2206	91	12	frames	frame	NOUN
cana-2206	91	13	that	that	PRON
cana-2206	91	14	have	have	VERB
cana-2206	91	15	visible	visible	ADJ
cana-2206	91	16	license	license	NOUN
cana-2206	91	17	plates	plate	NOUN
cana-2206	91	18	on	on	ADP
cana-2206	91	19	them	they	PRON
cana-2206	91	20	.	.	PUNCT
cana-2206	92	1	these	these	DET
cana-2206	92	2	inputs	input	NOUN
cana-2206	92	3	could	could	AUX
cana-2206	92	4	come	come	VERB
cana-2206	92	5	from	from	ADP
cana-2206	92	6	a	a	DET
cana-2206	92	7	number	number	NOUN
cana-2206	92	8	of	of	ADP
cana-2206	92	9	places	place	NOUN
cana-2206	92	10	,	,	PUNCT
cana-2206	92	11	including	include	VERB
cana-2206	92	12	parking	parking	NOUN
cana-2206	92	13	lots	lot	NOUN
cana-2206	92	14	,	,	PUNCT
cana-2206	92	15	toll	toll	NOUN
cana-2206	92	16	booths	booth	NOUN
cana-2206	92	17	,	,	PUNCT
cana-2206	92	18	traffic	traffic	NOUN
cana-2206	92	19	intersection	intersection	NOUN
cana-2206	92	20	cameras	camera	NOUN
cana-2206	92	21	,	,	PUNCT
cana-2206	92	22	and	and	CCONJ
cana-2206	92	23	law	law	NOUN
cana-2206	92	24	enforcement	enforcement	NOUN
cana-2206	92	25	cars	car	NOUN
cana-2206	92	26	..	..	PUNCT
cana-2206	92	27	communications	communication	NOUN
cana-2206	92	28	on	on	ADP
cana-2206	92	29	applied	apply	VERB
cana-2206	92	30	nonlinear	nonlinear	ADJ
cana-2206	92	31	analysis	analysis	NOUN
cana-2206	92	32	issn	issn	NOUN
cana-2206	92	33	:	:	PUNCT
cana-2206	92	34	1074	1074	NUM
cana-2206	92	35	-	-	PUNCT
cana-2206	92	36	133x	133x	NUM
cana-2206	92	37	vol	vol	NOUN
cana-2206	92	38	32	32	NUM
cana-2206	93	1	no	no	NOUN
cana-2206	93	2	.	.	PUNCT
cana-2206	94	1	1s	1s	NUM
cana-2206	94	2	(	(	PUNCT
cana-2206	94	3	2025	2025	NUM
cana-2206	94	4	)	)	PUNCT
cana-2206	94	5	423	423	NUM
cana-2206	94	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-2206	94	7	3.3.2	3.3.2	NUM
cana-2206	94	8	image	image	NOUN
cana-2206	94	9	enhancement	enhancement	NOUN
cana-2206	94	10	once	once	SCONJ
cana-2206	94	11	the	the	DET
cana-2206	94	12	images	image	NOUN
cana-2206	94	13	are	be	AUX
cana-2206	94	14	captured	capture	VERB
cana-2206	94	15	,	,	PUNCT
cana-2206	94	16	they	they	PRON
cana-2206	94	17	are	be	AUX
cana-2206	94	18	fed	feed	VERB
cana-2206	94	19	into	into	ADP
cana-2206	94	20	the	the	DET
cana-2206	94	21	image	image	NOUN
cana-2206	94	22	processing	processing	NOUN
cana-2206	94	23	module	module	NOUN
cana-2206	94	24	.	.	PUNCT
cana-2206	95	1	this	this	DET
cana-2206	95	2	module	module	NOUN
cana-2206	95	3	performs	perform	VERB
cana-2206	95	4	several	several	ADJ
cana-2206	95	5	pre	pre	ADJ
cana-2206	95	6	-	-	ADJ
cana-2206	95	7	processing	processing	ADJ
cana-2206	95	8	tasks	task	NOUN
cana-2206	95	9	that	that	PRON
cana-2206	95	10	are	be	AUX
cana-2206	95	11	crucial	crucial	ADJ
cana-2206	95	12	for	for	ADP
cana-2206	95	13	enhancing	enhance	VERB
cana-2206	95	14	the	the	DET
cana-2206	95	15	quality	quality	NOUN
cana-2206	95	16	of	of	ADP
cana-2206	95	17	the	the	DET
cana-2206	95	18	images	image	NOUN
cana-2206	95	19	.	.	PUNCT
cana-2206	96	1	common	common	ADJ
cana-2206	96	2	operations	operation	NOUN
cana-2206	96	3	include	include	VERB
cana-2206	96	4	converting	convert	VERB
cana-2206	96	5	the	the	DET
cana-2206	96	6	images	image	NOUN
cana-2206	96	7	to	to	ADP
cana-2206	96	8	grayscale	grayscale	NOUN
cana-2206	96	9	,	,	PUNCT
cana-2206	96	10	reducing	reduce	VERB
cana-2206	96	11	noise	noise	NOUN
cana-2206	96	12	using	use	VERB
cana-2206	96	13	filters	filter	NOUN
cana-2206	96	14	,	,	PUNCT
cana-2206	96	15	and	and	CCONJ
cana-2206	96	16	adjusting	adjust	VERB
cana-2206	96	17	the	the	DET
cana-2206	96	18	contrast	contrast	NOUN
cana-2206	96	19	or	or	CCONJ
cana-2206	96	20	brightness	brightness	NOUN
cana-2206	96	21	to	to	PART
cana-2206	96	22	improve	improve	VERB
cana-2206	96	23	the	the	DET
cana-2206	96	24	visibility	visibility	NOUN
cana-2206	96	25	of	of	ADP
cana-2206	96	26	the	the	DET
cana-2206	96	27	license	license	NOUN
cana-2206	96	28	plates	plate	NOUN
cana-2206	96	29	.	.	PUNCT
cana-2206	97	1	these	these	DET
cana-2206	97	2	pre	pre	ADJ
cana-2206	97	3	-	-	ADJ
cana-2206	97	4	processing	processing	ADJ
cana-2206	97	5	steps	step	NOUN
cana-2206	97	6	are	be	AUX
cana-2206	97	7	essential	essential	ADJ
cana-2206	97	8	to	to	PART
cana-2206	97	9	ensure	ensure	VERB
cana-2206	97	10	that	that	SCONJ
cana-2206	97	11	subsequent	subsequent	ADJ
cana-2206	97	12	detection	detection	NOUN
cana-2206	97	13	and	and	CCONJ
cana-2206	97	14	recognition	recognition	NOUN
cana-2206	97	15	processes	process	NOUN
cana-2206	97	16	are	be	AUX
cana-2206	97	17	accurate	accurate	ADJ
cana-2206	97	18	and	and	CCONJ
cana-2206	97	19	efficient	efficient	ADJ
cana-2206	97	20	.	.	PUNCT
cana-2206	98	1	3.3.3	3.3.3	NUM
cana-2206	98	2	capturing	capture	VERB
cana-2206	98	3	region	region	NOUN
cana-2206	98	4	of	of	ADP
cana-2206	98	5	intrest	intrest	VERB
cana-2206	98	6	the	the	DET
cana-2206	98	7	license	license	NOUN
cana-2206	98	8	plate	plate	NOUN
cana-2206	98	9	detecting	detect	VERB
cana-2206	98	10	module	module	NOUN
cana-2206	98	11	receives	receive	VERB
cana-2206	98	12	the	the	DET
cana-2206	98	13	image	image	NOUN
cana-2206	98	14	after	after	SCONJ
cana-2206	98	15	it	it	PRON
cana-2206	98	16	has	have	AUX
cana-2206	98	17	been	be	AUX
cana-2206	98	18	processed	process	VERB
cana-2206	98	19	.	.	PUNCT
cana-2206	99	1	this	this	DET
cana-2206	99	2	module	module	NOUN
cana-2206	99	3	finds	find	VERB
cana-2206	99	4	and	and	CCONJ
cana-2206	99	5	separates	separate	VERB
cana-2206	99	6	the	the	DET
cana-2206	99	7	license	license	NOUN
cana-2206	99	8	plate	plate	NOUN
cana-2206	99	9	area	area	NOUN
cana-2206	99	10	from	from	ADP
cana-2206	99	11	the	the	DET
cana-2206	99	12	rest	rest	NOUN
cana-2206	99	13	of	of	ADP
cana-2206	99	14	the	the	DET
cana-2206	99	15	picture	picture	NOUN
cana-2206	99	16	using	use	VERB
cana-2206	99	17	algorithms	algorithm	NOUN
cana-2206	99	18	,	,	PUNCT
cana-2206	99	19	like	like	ADP
cana-2206	99	20	a	a	DET
cana-2206	99	21	pre	pre	ADJ
cana-2206	99	22	-	-	ADJ
cana-2206	99	23	trained	train	VERB
cana-2206	99	24	haar	haar	NOUN
cana-2206	99	25	cascade	cascade	NOUN
cana-2206	99	26	.	.	PUNCT
cana-2206	100	1	the	the	DET
cana-2206	100	2	detecting	detect	VERB
cana-2206	100	3	procedure	procedure	NOUN
cana-2206	100	4	has	have	AUX
cana-2206	100	5	been	be	AUX
cana-2206	100	6	optimised	optimise	VERB
cana-2206	100	7	to	to	PART
cana-2206	100	8	manage	manage	VERB
cana-2206	100	9	a	a	DET
cana-2206	100	10	range	range	NOUN
cana-2206	100	11	of	of	ADP
cana-2206	100	12	obstacles	obstacle	NOUN
cana-2206	100	13	,	,	PUNCT
cana-2206	100	14	including	include	VERB
cana-2206	100	15	disparate	disparate	ADJ
cana-2206	100	16	vehicle	vehicle	NOUN
cana-2206	100	17	kinds	kind	NOUN
cana-2206	100	18	,	,	PUNCT
cana-2206	100	19	distances	distance	NOUN
cana-2206	100	20	,	,	PUNCT
cana-2206	100	21	and	and	CCONJ
cana-2206	100	22	environmental	environmental	ADJ
cana-2206	100	23	circumstances	circumstance	NOUN
cana-2206	100	24	.	.	PUNCT
cana-2206	101	1	accurately	accurately	ADV
cana-2206	101	2	locating	locate	VERB
cana-2206	101	3	the	the	DET
cana-2206	101	4	license	license	NOUN
cana-2206	101	5	plate	plate	NOUN
cana-2206	101	6	area	area	NOUN
cana-2206	101	7	in	in	ADP
cana-2206	101	8	the	the	DET
cana-2206	101	9	picture	picture	NOUN
cana-2206	101	10	is	be	AUX
cana-2206	101	11	the	the	DET
cana-2206	101	12	aim	aim	NOUN
cana-2206	101	13	in	in	ADP
cana-2206	101	14	order	order	NOUN
cana-2206	101	15	to	to	PART
cana-2206	101	16	proceed	proceed	VERB
cana-2206	101	17	with	with	ADP
cana-2206	101	18	additional	additional	ADJ
cana-2206	101	19	processing	processing	NOUN
cana-2206	101	20	.	.	PUNCT
cana-2206	102	1	3.3.4	3.3.4	NUM
cana-2206	102	2	character	character	NOUN
cana-2206	102	3	segmentation	segmentation	NOUN
cana-2206	102	4	segmenting	segment	VERB
cana-2206	102	5	each	each	DET
cana-2206	102	6	character	character	NOUN
cana-2206	102	7	on	on	ADP
cana-2206	102	8	the	the	DET
cana-2206	102	9	license	license	NOUN
cana-2206	102	10	plate	plate	NOUN
cana-2206	102	11	comes	come	VERB
cana-2206	102	12	next	next	ADV
cana-2206	102	13	after	after	SCONJ
cana-2206	102	14	the	the	DET
cana-2206	102	15	plate	plate	NOUN
cana-2206	102	16	has	have	AUX
cana-2206	102	17	been	be	AUX
cana-2206	102	18	identified	identify	VERB
cana-2206	102	19	.	.	PUNCT
cana-2206	103	1	by	by	ADP
cana-2206	103	2	dividing	divide	VERB
cana-2206	103	3	them	they	PRON
cana-2206	103	4	from	from	ADP
cana-2206	103	5	one	one	NUM
cana-2206	103	6	another	another	DET
cana-2206	103	7	,	,	PUNCT
cana-2206	103	8	the	the	DET
cana-2206	103	9	character	character	NOUN
cana-2206	103	10	segmentation	segmentation	NOUN
cana-2206	103	11	module	module	NOUN
cana-2206	103	12	extracts	extract	NOUN
cana-2206	103	13	every	every	DET
cana-2206	103	14	alphanumeric	alphanumeric	ADJ
cana-2206	103	15	character	character	NOUN
cana-2206	103	16	.	.	PUNCT
cana-2206	104	1	in	in	ADP
cana-2206	104	2	this	this	DET
cana-2206	104	3	step	step	NOUN
cana-2206	104	4	,	,	PUNCT
cana-2206	104	5	methods	method	NOUN
cana-2206	104	6	including	include	VERB
cana-2206	104	7	contour	contour	NOUN
cana-2206	104	8	detection	detection	NOUN
cana-2206	104	9	,	,	PUNCT
cana-2206	104	10	binarization	binarization	NOUN
cana-2206	104	11	,	,	PUNCT
cana-2206	104	12	and	and	CCONJ
cana-2206	104	13	thresholding	thresholding	NOUN
cana-2206	104	14	are	be	AUX
cana-2206	104	15	frequently	frequently	ADV
cana-2206	104	16	applied	apply	VERB
cana-2206	104	17	.	.	PUNCT
cana-2206	105	1	as	as	SCONJ
cana-2206	105	2	it	it	PRON
cana-2206	105	3	directly	directly	ADV
cana-2206	105	4	impacts	impact	VERB
cana-2206	105	5	the	the	DET
cana-2206	105	6	precision	precision	NOUN
cana-2206	105	7	of	of	ADP
cana-2206	105	8	character	character	NOUN
cana-2206	105	9	identification	identification	NOUN
cana-2206	105	10	in	in	ADP
cana-2206	105	11	the	the	DET
cana-2206	105	12	ensuing	ensue	VERB
cana-2206	105	13	techniques	technique	NOUN
cana-2206	105	14	,	,	PUNCT
cana-2206	105	15	proper	proper	ADJ
cana-2206	105	16	segmentation	segmentation	NOUN
cana-2206	105	17	is	be	AUX
cana-2206	105	18	essential	essential	ADJ
cana-2206	105	19	.	.	PUNCT
cana-2206	106	1	3.3.5	3.3.5	NUM
cana-2206	106	2	character	character	NOUN
cana-2206	106	3	recognition	recognition	NOUN
cana-2206	106	4	once	once	SCONJ
cana-2206	106	5	the	the	DET
cana-2206	106	6	characters	character	NOUN
cana-2206	106	7	are	be	AUX
cana-2206	106	8	segmented	segment	VERB
cana-2206	106	9	,	,	PUNCT
cana-2206	106	10	they	they	PRON
cana-2206	106	11	are	be	AUX
cana-2206	106	12	fed	feed	VERB
cana-2206	106	13	into	into	ADP
cana-2206	106	14	the	the	DET
cana-2206	106	15	character	character	NOUN
cana-2206	106	16	recognition	recognition	NOUN
cana-2206	106	17	module	module	NOUN
cana-2206	106	18	.	.	PUNCT
cana-2206	107	1	this	this	DET
cana-2206	107	2	module	module	NOUN
cana-2206	107	3	typically	typically	ADV
cana-2206	107	4	uses	use	VERB
cana-2206	107	5	machine	machine	NOUN
cana-2206	107	6	learning	learning	NOUN
cana-2206	107	7	modelss	modelss	NOUN
cana-2206	107	8	such	such	ADJ
cana-2206	107	9	as	as	ADP
cana-2206	107	10	cnn	cnn	PROPN
cana-2206	107	11	’s	’s	PART
cana-2206	107	12	,	,	PUNCT
cana-2206	107	13	to	to	PART
cana-2206	107	14	identify	identify	VERB
cana-2206	107	15	and	and	CCONJ
cana-2206	107	16	recognize	recognize	VERB
cana-2206	107	17	each	each	DET
cana-2206	107	18	character	character	NOUN
cana-2206	107	19	.	.	PUNCT
cana-2206	108	1	the	the	DET
cana-2206	108	2	cnn	cnn	PROPN
cana-2206	108	3	is	be	AUX
cana-2206	108	4	trained	train	VERB
cana-2206	108	5	on	on	ADP
cana-2206	108	6	a	a	DET
cana-2206	108	7	dataset	dataset	NOUN
cana-2206	108	8	of	of	ADP
cana-2206	108	9	license	license	NOUN
cana-2206	108	10	plate	plate	NOUN
cana-2206	108	11	characters	character	NOUN
cana-2206	108	12	and	and	CCONJ
cana-2206	108	13	is	be	AUX
cana-2206	108	14	capable	capable	ADJ
cana-2206	108	15	of	of	ADP
cana-2206	108	16	accurately	accurately	ADV
cana-2206	108	17	classifying	classify	VERB
cana-2206	108	18	each	each	DET
cana-2206	108	19	character	character	NOUN
cana-2206	108	20	despite	despite	SCONJ
cana-2206	108	21	variations	variation	NOUN
cana-2206	108	22	in	in	ADP
cana-2206	108	23	font	font	NOUN
cana-2206	108	24	,	,	PUNCT
cana-2206	108	25	size	size	NOUN
cana-2206	108	26	,	,	PUNCT
cana-2206	108	27	and	and	CCONJ
cana-2206	108	28	style	style	NOUN
cana-2206	108	29	.	.	PUNCT
cana-2206	109	1	3.3.6	3.3.6	NUM
cana-2206	109	2	output	output	NOUN
cana-2206	109	3	after	after	ADP
cana-2206	109	4	recognizing	recognize	VERB
cana-2206	109	5	all	all	DET
cana-2206	109	6	the	the	DET
cana-2206	109	7	characters	character	NOUN
cana-2206	109	8	,	,	PUNCT
cana-2206	109	9	the	the	DET
cana-2206	109	10	next	next	ADJ
cana-2206	109	11	step	step	NOUN
cana-2206	109	12	is	be	AUX
cana-2206	109	13	to	to	PART
cana-2206	109	14	concatenate	concatenate	VERB
cana-2206	109	15	them	they	PRON
cana-2206	109	16	in	in	ADP
cana-2206	109	17	the	the	DET
cana-2206	109	18	correct	correct	ADJ
cana-2206	109	19	sequence	sequence	NOUN
cana-2206	109	20	to	to	PART
cana-2206	109	21	form	form	VERB
cana-2206	109	22	the	the	DET
cana-2206	109	23	complete	complete	ADJ
cana-2206	109	24	license	license	NOUN
cana-2206	109	25	plate	plate	NOUN
cana-2206	109	26	number	number	NOUN
cana-2206	109	27	.	.	PUNCT
cana-2206	110	1	the	the	DET
cana-2206	110	2	concatenation	concatenation	NOUN
cana-2206	110	3	and	and	CCONJ
cana-2206	110	4	output	output	NOUN
cana-2206	110	5	module	module	NOUN
cana-2206	110	6	handles	handle	VERB
cana-2206	110	7	this	this	DET
cana-2206	110	8	process	process	NOUN
cana-2206	110	9	,	,	PUNCT
cana-2206	110	10	ensuring	ensure	VERB
cana-2206	110	11	that	that	SCONJ
cana-2206	110	12	the	the	DET
cana-2206	110	13	characters	character	NOUN
cana-2206	110	14	are	be	AUX
cana-2206	110	15	arranged	arrange	VERB
cana-2206	110	16	as	as	SCONJ
cana-2206	110	17	they	they	PRON
cana-2206	110	18	appear	appear	VERB
cana-2206	110	19	on	on	ADP
cana-2206	110	20	the	the	DET
cana-2206	110	21	license	license	NOUN
cana-2206	110	22	plate	plate	NOUN
cana-2206	110	23	.	.	PUNCT
cana-2206	111	1	the	the	DET
cana-2206	111	2	resulting	result	VERB
cana-2206	111	3	string	string	NOUN
cana-2206	111	4	represents	represent	VERB
cana-2206	111	5	the	the	DET
cana-2206	111	6	full	full	ADJ
cana-2206	111	7	license	license	NOUN
cana-2206	111	8	plate	plate	NOUN
cana-2206	111	9	number	number	NOUN
cana-2206	111	10	,	,	PUNCT
cana-2206	111	11	which	which	PRON
cana-2206	111	12	can	can	AUX
cana-2206	111	13	then	then	ADV
cana-2206	111	14	be	be	AUX
cana-2206	111	15	outputted	output	VERB
cana-2206	111	16	for	for	ADP
cana-2206	111	17	further	further	ADJ
cana-2206	111	18	use	use	NOUN
cana-2206	111	19	.	.	PUNCT
cana-2206	112	1	3.3.7	3.3.7	NUM
cana-2206	112	2	user	user	NOUN
cana-2206	112	3	interface	interface	NOUN
cana-2206	112	4	/	/	SYM
cana-2206	112	5	integration	integration	NOUN
cana-2206	112	6	the	the	DET
cana-2206	112	7	final	final	ADJ
cana-2206	112	8	stage	stage	NOUN
cana-2206	112	9	involves	involve	VERB
cana-2206	112	10	integrating	integrate	VERB
cana-2206	112	11	the	the	DET
cana-2206	112	12	recognized	recognize	VERB
cana-2206	112	13	license	license	NOUN
cana-2206	112	14	plate	plate	NOUN
cana-2206	112	15	number	number	NOUN
cana-2206	112	16	into	into	ADP
cana-2206	112	17	a	a	DET
cana-2206	112	18	user	user	NOUN
cana-2206	112	19	interface	interface	NOUN
cana-2206	112	20	or	or	CCONJ
cana-2206	112	21	another	another	DET
cana-2206	112	22	system	system	NOUN
cana-2206	112	23	.	.	PUNCT
cana-2206	113	1	this	this	DET
cana-2206	113	2	module	module	NOUN
cana-2206	113	3	allows	allow	VERB
cana-2206	113	4	the	the	DET
cana-2206	113	5	system	system	NOUN
cana-2206	113	6	to	to	PART
cana-2206	113	7	interact	interact	VERB
cana-2206	113	8	with	with	ADP
cana-2206	113	9	external	external	ADJ
cana-2206	113	10	databases	database	NOUN
cana-2206	113	11	or	or	CCONJ
cana-2206	113	12	applications	application	NOUN
cana-2206	113	13	.	.	PUNCT
cana-2206	114	1	for	for	ADP
cana-2206	114	2	instance	instance	NOUN
cana-2206	114	3	,	,	PUNCT
cana-2206	114	4	it	it	PRON
cana-2206	114	5	can	can	AUX
cana-2206	114	6	be	be	AUX
cana-2206	114	7	used	use	VERB
cana-2206	114	8	to	to	PART
cana-2206	114	9	check	check	VERB
cana-2206	114	10	the	the	DET
cana-2206	114	11	license	license	NOUN
cana-2206	114	12	plate	plate	NOUN
cana-2206	114	13	against	against	ADP
cana-2206	114	14	a	a	DET
cana-2206	114	15	database	database	NOUN
cana-2206	114	16	of	of	ADP
cana-2206	114	17	registered	register	VERB
cana-2206	114	18	vehicles	vehicle	NOUN
cana-2206	114	19	,	,	PUNCT
cana-2206	114	20	generate	generate	VERB
cana-2206	114	21	reports	report	NOUN
cana-2206	114	22	,	,	PUNCT
cana-2206	114	23	or	or	CCONJ
cana-2206	114	24	trigger	trigger	NOUN
cana-2206	114	25	alerts	alert	NOUN
cana-2206	114	26	.	.	PUNCT
cana-2206	115	1	this	this	DET
cana-2206	115	2	module	module	NOUN
cana-2206	115	3	ensures	ensure	VERB
cana-2206	115	4	that	that	SCONJ
cana-2206	115	5	the	the	DET
cana-2206	115	6	alpr	alpr	NOUN
cana-2206	115	7	system	system	NOUN
cana-2206	115	8	is	be	AUX
cana-2206	115	9	usable	usable	ADJ
cana-2206	115	10	and	and	CCONJ
cana-2206	115	11	effective	effective	ADJ
cana-2206	115	12	in	in	ADP
cana-2206	115	13	real	real	ADJ
cana-2206	115	14	-	-	PUNCT
cana-2206	115	15	world	world	NOUN
cana-2206	115	16	applications	application	NOUN
cana-2206	115	17	,	,	PUNCT
cana-2206	115	18	providing	provide	VERB
cana-2206	115	19	a	a	DET
cana-2206	115	20	seamless	seamless	ADJ
cana-2206	115	21	interface	interface	NOUN
cana-2206	115	22	for	for	ADP
cana-2206	115	23	users	user	NOUN
cana-2206	115	24	or	or	CCONJ
cana-2206	115	25	other	other	ADJ
cana-2206	115	26	systems	system	NOUN
cana-2206	115	27	to	to	PART
cana-2206	115	28	interact	interact	VERB
cana-2206	115	29	with	with	ADP
cana-2206	115	30	the	the	DET
cana-2206	115	31	recognized	recognize	VERB
cana-2206	115	32	data	datum	NOUN
cana-2206	115	33	.	.	PUNCT
cana-2206	116	1	these	these	DET
cana-2206	116	2	modules	module	NOUN
cana-2206	116	3	collectively	collectively	ADV
cana-2206	116	4	form	form	VERB
cana-2206	116	5	a	a	DET
cana-2206	116	6	robust	robust	ADJ
cana-2206	116	7	framework	framework	NOUN
cana-2206	116	8	for	for	ADP
cana-2206	116	9	an	an	DET
cana-2206	116	10	advanced	advanced	ADJ
cana-2206	116	11	automated	automate	VERB
cana-2206	116	12	number	number	NOUN
cana-2206	116	13	plate	plate	NOUN
cana-2206	116	14	recognition	recognition	NOUN
cana-2206	116	15	system	system	NOUN
cana-2206	116	16	,	,	PUNCT
cana-2206	116	17	capable	capable	ADJ
cana-2206	116	18	of	of	ADP
cana-2206	116	19	handling	handle	VERB
cana-2206	116	20	various	various	ADJ
cana-2206	116	21	challenges	challenge	NOUN
cana-2206	116	22	associated	associate	VERB
cana-2206	116	23	with	with	ADP
cana-2206	116	24	detecting	detect	VERB
cana-2206	116	25	and	and	CCONJ
cana-2206	116	26	recognizing	recognize	VERB
cana-2206	116	27	torn	tear	VERB
cana-2206	116	28	,	,	PUNCT
cana-2206	116	29	blurred	blurred	ADJ
cana-2206	116	30	,	,	PUNCT
cana-2206	116	31	or	or	CCONJ
cana-2206	116	32	partially	partially	ADV
cana-2206	116	33	obstructed	obstruct	VERB
cana-2206	116	34	license	license	NOUN
cana-2206	116	35	plates	plate	NOUN
cana-2206	116	36	in	in	ADP
cana-2206	116	37	real	real	ADJ
cana-2206	116	38	-	-	PUNCT
cana-2206	116	39	world	world	NOUN
cana-2206	116	40	scenarios	scenario	NOUN
cana-2206	116	41	.	.	PUNCT
cana-2206	117	1	3.4	3.4	NUM
cana-2206	117	2	model	model	NOUN
cana-2206	117	3	training	training	NOUN
cana-2206	117	4	when	when	SCONJ
cana-2206	117	5	developing	develop	VERB
cana-2206	117	6	a	a	DET
cana-2206	117	7	cnn	cnn	PROPN
cana-2206	117	8	model	model	NOUN
cana-2206	117	9	for	for	ADP
cana-2206	117	10	advanced	advanced	ADJ
cana-2206	117	11	number	number	NOUN
cana-2206	117	12	plate	plate	NOUN
cana-2206	117	13	detection	detection	NOUN
cana-2206	117	14	,	,	PUNCT
cana-2206	117	15	training	train	VERB
cana-2206	117	16	the	the	DET
cana-2206	117	17	model	model	NOUN
cana-2206	117	18	is	be	AUX
cana-2206	117	19	the	the	DET
cana-2206	117	20	foundational	foundational	ADJ
cana-2206	117	21	and	and	CCONJ
cana-2206	117	22	most	most	ADV
cana-2206	117	23	critical	critical	ADJ
cana-2206	117	24	step	step	NOUN
cana-2206	117	25	.	.	PUNCT
cana-2206	118	1	the	the	DET
cana-2206	118	2	cnn	cnn	PROPN
cana-2206	118	3	learns	learn	VERB
cana-2206	118	4	to	to	PART
cana-2206	118	5	identify	identify	VERB
cana-2206	118	6	patterns	pattern	NOUN
cana-2206	118	7	,	,	PUNCT
cana-2206	118	8	features	feature	NOUN
cana-2206	118	9	,	,	PUNCT
cana-2206	118	10	and	and	CCONJ
cana-2206	118	11	nuances	nuance	NOUN
cana-2206	118	12	in	in	ADP
cana-2206	118	13	images	image	NOUN
cana-2206	118	14	to	to	PART
cana-2206	118	15	accurately	accurately	ADV
cana-2206	118	16	recognize	recognize	VERB
cana-2206	118	17	number	number	NOUN
cana-2206	118	18	plates	plate	NOUN
cana-2206	118	19	,	,	PUNCT
cana-2206	118	20	even	even	ADV
cana-2206	118	21	under	under	ADP
cana-2206	118	22	challenging	challenging	ADJ
cana-2206	118	23	conditions	condition	NOUN
cana-2206	118	24	such	such	ADJ
cana-2206	118	25	as	as	ADP
cana-2206	118	26	blurriness	blurriness	NOUN
cana-2206	118	27	communications	communication	NOUN
cana-2206	118	28	on	on	ADP
cana-2206	118	29	applied	apply	VERB
cana-2206	118	30	nonlinear	nonlinear	ADJ
cana-2206	118	31	analysis	analysis	NOUN
cana-2206	118	32	issn	issn	NOUN
cana-2206	118	33	:	:	PUNCT
cana-2206	118	34	1074	1074	NUM
cana-2206	118	35	-	-	PUNCT
cana-2206	118	36	133x	133x	NUM
cana-2206	118	37	vol	vol	NOUN
cana-2206	118	38	32	32	NUM
cana-2206	118	39	no	no	NOUN
cana-2206	118	40	.	.	PUNCT
cana-2206	119	1	1s	1s	NUM
cana-2206	119	2	(	(	PUNCT
cana-2206	119	3	2025	2025	NUM
cana-2206	119	4	)	)	PUNCT
cana-2206	119	5	424	424	NUM
cana-2206	119	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	119	7	or	or	CCONJ
cana-2206	119	8	damage	damage	NOUN
cana-2206	119	9	.	.	PUNCT
cana-2206	120	1	below	below	ADV
cana-2206	120	2	is	be	AUX
cana-2206	120	3	an	an	DET
cana-2206	120	4	overview	overview	NOUN
cana-2206	120	5	of	of	ADP
cana-2206	120	6	the	the	DET
cana-2206	120	7	model	model	NOUN
cana-2206	120	8	training	training	NOUN
cana-2206	120	9	process	process	NOUN
cana-2206	120	10	and	and	CCONJ
cana-2206	120	11	how	how	SCONJ
cana-2206	120	12	cnns	cnn	NOUN
cana-2206	120	13	are	be	AUX
cana-2206	120	14	leveraged	leverage	VERB
cana-2206	120	15	for	for	ADP
cana-2206	120	16	image	image	NOUN
cana-2206	120	17	processing	processing	NOUN
cana-2206	120	18	in	in	ADP
cana-2206	120	19	the	the	DET
cana-2206	120	20	context	context	NOUN
cana-2206	120	21	of	of	ADP
cana-2206	120	22	number	number	NOUN
cana-2206	120	23	plate	plate	NOUN
cana-2206	120	24	detection	detection	NOUN
cana-2206	120	25	:	:	PUNCT
cana-2206	120	26	3.4.1	3.4.1	NUM
cana-2206	120	27	data	data	NOUN
cana-2206	120	28	preparation	preparation	NOUN
cana-2206	120	29	number	number	NOUN
cana-2206	120	30	plate	plate	NOUN
cana-2206	120	31	photos	photo	NOUN
cana-2206	120	32	are	be	AUX
cana-2206	120	33	carefully	carefully	ADV
cana-2206	120	34	sorted	sort	VERB
cana-2206	120	35	into	into	ADP
cana-2206	120	36	categories	category	NOUN
cana-2206	120	37	according	accord	VERB
cana-2206	120	38	to	to	ADP
cana-2206	120	39	how	how	SCONJ
cana-2206	120	40	clear	clear	ADJ
cana-2206	120	41	and	and	CCONJ
cana-2206	120	42	visible	visible	ADJ
cana-2206	120	43	they	they	PRON
cana-2206	120	44	are	be	AUX
cana-2206	120	45	.	.	PUNCT
cana-2206	121	1	three	three	NUM
cana-2206	121	2	subsets	subset	NOUN
cana-2206	121	3	of	of	ADP
cana-2206	121	4	this	this	DET
cana-2206	121	5	dataset	dataset	NOUN
cana-2206	121	6	have	have	AUX
cana-2206	121	7	been	be	AUX
cana-2206	121	8	identified	identify	VERB
cana-2206	121	9	like	like	ADP
cana-2206	121	10	train	train	NOUN
cana-2206	121	11	,	,	PUNCT
cana-2206	121	12	test	test	NOUN
cana-2206	121	13	and	and	CCONJ
cana-2206	121	14	validation	validation	NOUN
cana-2206	121	15	sets	set	NOUN
cana-2206	121	16	.	.	PUNCT
cana-2206	122	1	the	the	DET
cana-2206	122	2	validation	validation	NOUN
cana-2206	122	3	set	set	NOUN
cana-2206	122	4	helps	help	VERB
cana-2206	122	5	with	with	ADP
cana-2206	122	6	hyper	hyper	ADJ
cana-2206	122	7	parameter	parameter	NOUN
cana-2206	122	8	tweening	tweening	NOUN
cana-2206	122	9	,	,	PUNCT
cana-2206	122	10	the	the	DET
cana-2206	122	11	test	test	NOUN
cana-2206	122	12	set	set	NOUN
cana-2206	122	13	is	be	AUX
cana-2206	122	14	used	use	VERB
cana-2206	122	15	to	to	PART
cana-2206	122	16	assess	assess	VERB
cana-2206	122	17	the	the	DET
cana-2206	122	18	model	model	NOUN
cana-2206	122	19	's	's	PART
cana-2206	122	20	final	final	ADJ
cana-2206	122	21	performance	performance	NOUN
cana-2206	122	22	on	on	ADP
cana-2206	122	23	untested	untested	ADJ
cana-2206	122	24	data	datum	NOUN
cana-2206	122	25	,	,	PUNCT
cana-2206	122	26	and	and	CCONJ
cana-2206	122	27	the	the	DET
cana-2206	122	28	training	training	NOUN
cana-2206	122	29	set	set	NOUN
cana-2206	122	30	is	be	AUX
cana-2206	122	31	used	use	VERB
cana-2206	122	32	to	to	PART
cana-2206	122	33	train	train	VERB
cana-2206	122	34	the	the	DET
cana-2206	122	35	model	model	NOUN
cana-2206	122	36	.	.	PUNCT
cana-2206	123	1	3.4.2	3.4.2	NUM
cana-2206	123	2	model	model	NOUN
cana-2206	123	3	(	(	PUNCT
cana-2206	123	4	cnn	cnn	PROPN
cana-2206	123	5	)	)	PUNCT
cana-2206	123	6	architecture	architecture	NOUN
cana-2206	123	7	the	the	DET
cana-2206	123	8	cnn	cnn	NOUN
cana-2206	123	9	architecture	architecture	NOUN
cana-2206	123	10	is	be	AUX
cana-2206	123	11	carefully	carefully	ADV
cana-2206	123	12	designed	design	VERB
cana-2206	123	13	with	with	ADP
cana-2206	123	14	layers	layer	NOUN
cana-2206	123	15	that	that	PRON
cana-2206	123	16	are	be	AUX
cana-2206	123	17	tailored	tailor	VERB
cana-2206	123	18	for	for	ADP
cana-2206	123	19	number	number	NOUN
cana-2206	123	20	plate	plate	NOUN
cana-2206	123	21	detection	detection	NOUN
cana-2206	123	22	:	:	PUNCT
cana-2206	123	23	•	•	NUM
cana-2206	123	24	convolutional	convolutional	ADJ
cana-2206	123	25	layers	layer	NOUN
cana-2206	123	26	:	:	PUNCT
cana-2206	123	27	these	these	DET
cana-2206	123	28	layers	layer	NOUN
cana-2206	123	29	use	use	VERB
cana-2206	123	30	filters	filter	NOUN
cana-2206	123	31	to	to	PART
cana-2206	123	32	identify	identify	VERB
cana-2206	123	33	and	and	CCONJ
cana-2206	123	34	extract	extract	VERB
cana-2206	123	35	key	key	ADJ
cana-2206	123	36	elements	element	NOUN
cana-2206	123	37	from	from	ADP
cana-2206	123	38	the	the	DET
cana-2206	123	39	input	input	NOUN
cana-2206	123	40	photos	photo	NOUN
cana-2206	123	41	,	,	PUNCT
cana-2206	123	42	like	like	ADP
cana-2206	123	43	number	number	NOUN
cana-2206	123	44	plate	plate	NOUN
cana-2206	123	45	-	-	PUNCT
cana-2206	123	46	specific	specific	ADJ
cana-2206	123	47	characters	character	NOUN
cana-2206	123	48	,	,	PUNCT
cana-2206	123	49	borders	border	NOUN
cana-2206	123	50	,	,	PUNCT
cana-2206	123	51	and	and	CCONJ
cana-2206	123	52	textures	texture	NOUN
cana-2206	123	53	.	.	PUNCT
cana-2206	124	1	•	•	NUM
cana-2206	124	2	activation	activation	NOUN
cana-2206	124	3	functions	function	NOUN
cana-2206	124	4	:	:	PUNCT
cana-2206	124	5	rectified	rectify	VERB
cana-2206	124	6	linear	linear	ADJ
cana-2206	124	7	units	unit	NOUN
cana-2206	124	8	(	(	PUNCT
cana-2206	124	9	relu	relu	NOUN
cana-2206	124	10	)	)	PUNCT
cana-2206	124	11	give	give	VERB
cana-2206	124	12	the	the	DET
cana-2206	124	13	model	model	NOUN
cana-2206	124	14	non	non	NOUN
cana-2206	124	15	-	-	NOUN
cana-2206	124	16	linearity	linearity	NOUN
cana-2206	124	17	,	,	PUNCT
cana-2206	124	18	which	which	PRON
cana-2206	124	19	enables	enable	VERB
cana-2206	124	20	it	it	PRON
cana-2206	124	21	to	to	PART
cana-2206	124	22	pick	pick	VERB
cana-2206	124	23	up	up	ADP
cana-2206	124	24	intricate	intricate	ADJ
cana-2206	124	25	patterns	pattern	NOUN
cana-2206	124	26	.	.	PUNCT
cana-2206	125	1	•	•	NUM
cana-2206	125	2	pooling	pool	VERB
cana-2206	125	3	layers	layer	NOUN
cana-2206	125	4	:	:	PUNCT
cana-2206	125	5	in	in	ADP
cana-2206	125	6	order	order	NOUN
cana-2206	125	7	to	to	PART
cana-2206	125	8	reduce	reduce	VERB
cana-2206	125	9	computational	computational	ADJ
cana-2206	125	10	load	load	NOUN
cana-2206	125	11	and	and	CCONJ
cana-2206	125	12	mitigate	mitigate	VERB
cana-2206	125	13	overfitting	overfitte	VERB
cana-2206	125	14	by	by	ADP
cana-2206	125	15	concentrating	concentrate	VERB
cana-2206	125	16	on	on	ADP
cana-2206	125	17	the	the	DET
cana-2206	125	18	most	most	ADV
cana-2206	125	19	pertinent	pertinent	ADJ
cana-2206	125	20	data	datum	NOUN
cana-2206	125	21	,	,	PUNCT
cana-2206	125	22	these	these	DET
cana-2206	125	23	layers	layer	NOUN
cana-2206	125	24	carry	carry	VERB
cana-2206	125	25	out	out	ADP
cana-2206	125	26	procedures	procedure	NOUN
cana-2206	125	27	like	like	ADP
cana-2206	125	28	max	max	NOUN
cana-2206	125	29	-	-	PUNCT
cana-2206	125	30	pooling	pooling	NOUN
cana-2206	125	31	to	to	PART
cana-2206	125	32	collect	collect	VERB
cana-2206	125	33	the	the	DET
cana-2206	125	34	most	most	ADV
cana-2206	125	35	significant	significant	ADJ
cana-2206	125	36	features	feature	NOUN
cana-2206	125	37	from	from	ADP
cana-2206	125	38	the	the	DET
cana-2206	125	39	convolutional	convolutional	ADJ
cana-2206	125	40	layers	layer	NOUN
cana-2206	125	41	.	.	PUNCT
cana-2206	126	1	•	•	NUM
cana-2206	126	2	fully	fully	ADV
cana-2206	126	3	connected	connected	ADJ
cana-2206	126	4	layers	layer	NOUN
cana-2206	126	5	:	:	PUNCT
cana-2206	126	6	located	locate	VERB
cana-2206	126	7	at	at	ADP
cana-2206	126	8	the	the	DET
cana-2206	126	9	end	end	NOUN
cana-2206	126	10	of	of	ADP
cana-2206	126	11	the	the	DET
cana-2206	126	12	network	network	NOUN
cana-2206	126	13	,	,	PUNCT
cana-2206	126	14	these	these	DET
cana-2206	126	15	layers	layer	NOUN
cana-2206	126	16	combine	combine	VERB
cana-2206	126	17	high	high	ADJ
cana-2206	126	18	-	-	PUNCT
cana-2206	126	19	level	level	NOUN
cana-2206	126	20	characteristics	characteristic	NOUN
cana-2206	126	21	to	to	PART
cana-2206	126	22	provide	provide	VERB
cana-2206	126	23	precise	precise	ADJ
cana-2206	126	24	predictions	prediction	NOUN
cana-2206	126	25	on	on	ADP
cana-2206	126	26	the	the	DET
cana-2206	126	27	existence	existence	NOUN
cana-2206	126	28	and	and	CCONJ
cana-2206	126	29	legibility	legibility	NOUN
cana-2206	126	30	of	of	ADP
cana-2206	126	31	license	license	NOUN
cana-2206	126	32	plates	plate	NOUN
cana-2206	126	33	.	.	PUNCT
cana-2206	127	1	3.3.4	3.3.4	NUM
cana-2206	127	2	initialization	initialization	NOUN
cana-2206	127	3	and	and	CCONJ
cana-2206	127	4	compilation	compilation	NOUN
cana-2206	127	5	:	:	PUNCT
cana-2206	127	6	to	to	PART
cana-2206	127	7	create	create	VERB
cana-2206	127	8	a	a	DET
cana-2206	127	9	baseline	baseline	NOUN
cana-2206	127	10	for	for	ADP
cana-2206	127	11	training	training	NOUN
cana-2206	127	12	,	,	PUNCT
cana-2206	127	13	the	the	DET
cana-2206	127	14	model	model	NOUN
cana-2206	127	15	's	's	PART
cana-2206	127	16	initial	initial	ADJ
cana-2206	127	17	weights	weight	NOUN
cana-2206	127	18	and	and	CCONJ
cana-2206	127	19	biases	bias	NOUN
cana-2206	127	20	are	be	AUX
cana-2206	127	21	defined	define	VERB
cana-2206	127	22	.	.	PUNCT
cana-2206	128	1	the	the	DET
cana-2206	128	2	model	model	NOUN
cana-2206	128	3	is	be	AUX
cana-2206	128	4	assembled	assemble	VERB
cana-2206	128	5	using	use	VERB
cana-2206	128	6	evaluation	evaluation	NOUN
cana-2206	128	7	criteria	criterion	NOUN
cana-2206	128	8	that	that	PRON
cana-2206	128	9	will	will	AUX
cana-2206	128	10	direct	direct	VERB
cana-2206	128	11	the	the	DET
cana-2206	128	12	training	training	NOUN
cana-2206	128	13	process	process	NOUN
cana-2206	128	14	,	,	PUNCT
cana-2206	128	15	an	an	DET
cana-2206	128	16	optimiser	optimiser	NOUN
cana-2206	128	17	(	(	PUNCT
cana-2206	128	18	such	such	ADJ
cana-2206	128	19	as	as	ADP
cana-2206	128	20	adam	adam	PROPN
cana-2206	128	21	,	,	PUNCT
cana-2206	128	22	sgd	sgd	PROPN
cana-2206	128	23	,	,	PUNCT
cana-2206	128	24	or	or	CCONJ
cana-2206	128	25	rmsprop	rmsprop	NOUN
cana-2206	128	26	)	)	PUNCT
cana-2206	128	27	,	,	PUNCT
cana-2206	128	28	and	and	CCONJ
cana-2206	128	29	a	a	DET
cana-2206	128	30	specified	specify	VERB
cana-2206	128	31	loss	loss	NOUN
cana-2206	128	32	function	function	NOUN
cana-2206	128	33	(	(	PUNCT
cana-2206	128	34	such	such	ADJ
cana-2206	128	35	as	as	ADP
cana-2206	128	36	mean	mean	NOUN
cana-2206	128	37	squared	square	VERB
cana-2206	128	38	error	error	NOUN
cana-2206	128	39	for	for	ADP
cana-2206	128	40	regression	regression	NOUN
cana-2206	128	41	tasks	task	NOUN
cana-2206	128	42	or	or	CCONJ
cana-2206	128	43	categorical	categorical	ADJ
cana-2206	128	44	cross	cross	NOUN
cana-2206	128	45	-	-	NOUN
cana-2206	128	46	entropy	entropy	NOUN
cana-2206	128	47	for	for	ADP
cana-2206	128	48	multi	multi	ADJ
cana-2206	128	49	-	-	ADJ
cana-2206	128	50	class	class	ADJ
cana-2206	128	51	classification	classification	NOUN
cana-2206	128	52	tasks	task	NOUN
cana-2206	128	53	)	)	PUNCT
cana-2206	128	54	.	.	PUNCT
cana-2206	129	1	3.3.5	3.3.5	NUM
cana-2206	129	2	training	training	NOUN
cana-2206	129	3	process	process	NOUN
cana-2206	129	4	the	the	DET
cana-2206	129	5	cnn	cnn	PROPN
cana-2206	129	6	is	be	AUX
cana-2206	129	7	trained	train	VERB
cana-2206	129	8	on	on	ADP
cana-2206	129	9	the	the	DET
cana-2206	129	10	prepared	prepare	VERB
cana-2206	129	11	dataset	dataset	NOUN
cana-2206	129	12	over	over	ADP
cana-2206	129	13	multiple	multiple	ADJ
cana-2206	129	14	epochs	epoch	NOUN
cana-2206	129	15	.	.	PUNCT
cana-2206	130	1	during	during	ADP
cana-2206	130	2	each	each	DET
cana-2206	130	3	epoch	epoch	NOUN
cana-2206	130	4	,	,	PUNCT
cana-2206	130	5	the	the	DET
cana-2206	130	6	following	follow	VERB
cana-2206	130	7	steps	step	NOUN
cana-2206	130	8	occur	occur	VERB
cana-2206	130	9	•	•	ADP
cana-2206	130	10	the	the	DET
cana-2206	130	11	network	network	NOUN
cana-2206	130	12	processes	process	VERB
cana-2206	130	13	batches	batch	NOUN
cana-2206	130	14	of	of	ADP
cana-2206	130	15	number	number	NOUN
cana-2206	130	16	plate	plate	NOUN
cana-2206	130	17	images	image	NOUN
cana-2206	130	18	.	.	PUNCT
cana-2206	130	19	•	•	NUM
cana-2206	130	20	by	by	ADP
cana-2206	130	21	contrasting	contrast	VERB
cana-2206	130	22	the	the	DET
cana-2206	130	23	model	model	NOUN
cana-2206	130	24	's	's	PART
cana-2206	130	25	predictions	prediction	NOUN
cana-2206	130	26	with	with	ADP
cana-2206	130	27	the	the	DET
cana-2206	130	28	actual	actual	ADJ
cana-2206	130	29	labels	label	NOUN
cana-2206	130	30	,	,	PUNCT
cana-2206	130	31	loss	loss	NOUN
cana-2206	130	32	is	be	AUX
cana-2206	130	33	computed	compute	VERB
cana-2206	130	34	.	.	PUNCT
cana-2206	131	1	•	•	NUM
cana-2206	131	2	backpropagation	backpropagation	NOUN
cana-2206	131	3	is	be	AUX
cana-2206	131	4	used	use	VERB
cana-2206	131	5	to	to	PART
cana-2206	131	6	compute	compute	VERB
cana-2206	131	7	gradients	gradient	NOUN
cana-2206	131	8	,	,	PUNCT
cana-2206	131	9	which	which	PRON
cana-2206	131	10	are	be	AUX
cana-2206	131	11	essential	essential	ADJ
cana-2206	131	12	for	for	ADP
cana-2206	131	13	updating	update	VERB
cana-2206	131	14	the	the	DET
cana-2206	131	15	model	model	NOUN
cana-2206	131	16	's	's	PART
cana-2206	131	17	weights	weight	NOUN
cana-2206	131	18	and	and	CCONJ
cana-2206	131	19	biases	bias	NOUN
cana-2206	131	20	.	.	PUNCT
cana-2206	132	1	•	•	NUM
cana-2206	132	2	the	the	DET
cana-2206	132	3	optimizer	optimizer	NOUN
cana-2206	132	4	adjusts	adjust	VERB
cana-2206	132	5	the	the	DET
cana-2206	132	6	model	model	NOUN
cana-2206	132	7	’s	’s	PART
cana-2206	132	8	parameters	parameter	NOUN
cana-2206	132	9	to	to	PART
cana-2206	132	10	minimize	minimize	VERB
cana-2206	132	11	the	the	DET
cana-2206	132	12	loss	loss	NOUN
cana-2206	132	13	,	,	PUNCT
cana-2206	132	14	iteratively	iteratively	ADV
cana-2206	132	15	refining	refine	VERB
cana-2206	132	16	the	the	DET
cana-2206	132	17	model	model	NOUN
cana-2206	132	18	's	's	PART
cana-2206	132	19	accuracy	accuracy	NOUN
cana-2206	132	20	.	.	PUNCT
cana-2206	133	1	•	•	INTJ
cana-2206	133	2	to	to	PART
cana-2206	133	3	enhance	enhance	VERB
cana-2206	133	4	the	the	DET
cana-2206	133	5	training	training	NOUN
cana-2206	133	6	process	process	NOUN
cana-2206	133	7	and	and	CCONJ
cana-2206	133	8	boost	boost	VERB
cana-2206	133	9	model	model	NOUN
cana-2206	133	10	performance	performance	NOUN
cana-2206	133	11	,	,	PUNCT
cana-2206	133	12	hyperparameters	hyperparameter	VERB
cana-2206	133	13	like	like	ADP
cana-2206	133	14	batch	batch	NOUN
cana-2206	133	15	size	size	NOUN
cana-2206	133	16	and	and	CCONJ
cana-2206	133	17	number	number	NOUN
cana-2206	133	18	of	of	ADP
cana-2206	133	19	epochs	epoch	NOUN
cana-2206	133	20	are	be	AUX
cana-2206	133	21	adjusted	adjust	VERB
cana-2206	133	22	.	.	PUNCT
cana-2206	134	1	3.3.6	3.3.6	NUM
cana-2206	134	2	role	role	NOUN
cana-2206	134	3	of	of	ADP
cana-2206	134	4	cnns	cnn	NOUN
cana-2206	134	5	in	in	ADP
cana-2206	134	6	number	number	NOUN
cana-2206	134	7	plate	plate	NOUN
cana-2206	134	8	detection	detection	NOUN
cana-2206	134	9	cnns	cnn	NOUN
cana-2206	134	10	are	be	AUX
cana-2206	134	11	exceptionally	exceptionally	ADV
cana-2206	134	12	suited	suited	ADJ
cana-2206	134	13	for	for	ADP
cana-2206	134	14	tasks	task	NOUN
cana-2206	134	15	like	like	ADP
cana-2206	134	16	number	number	NOUN
cana-2206	134	17	plate	plate	NOUN
cana-2206	134	18	detection	detection	NOUN
cana-2206	134	19	,	,	PUNCT
cana-2206	134	20	as	as	SCONJ
cana-2206	134	21	they	they	PRON
cana-2206	134	22	automatically	automatically	ADV
cana-2206	134	23	learn	learn	VERB
cana-2206	134	24	hierarchical	hierarchical	ADJ
cana-2206	134	25	features	feature	NOUN
cana-2206	134	26	from	from	ADP
cana-2206	134	27	the	the	DET
cana-2206	134	28	data	datum	NOUN
cana-2206	134	29	.	.	PUNCT
cana-2206	135	1	by	by	ADP
cana-2206	135	2	progressively	progressively	ADV
cana-2206	135	3	refining	refine	VERB
cana-2206	135	4	the	the	DET
cana-2206	135	5	model	model	NOUN
cana-2206	135	6	through	through	ADP
cana-2206	135	7	iterative	iterative	NOUN
cana-2206	135	8	training	training	NOUN
cana-2206	135	9	,	,	PUNCT
cana-2206	135	10	the	the	DET
cana-2206	135	11	cnn	cnn	PROPN
cana-2206	135	12	becomes	become	VERB
cana-2206	135	13	adept	adept	ADJ
cana-2206	135	14	at	at	ADP
cana-2206	135	15	distinguishing	distinguish	VERB
cana-2206	135	16	number	number	NOUN
cana-2206	135	17	plates	plate	NOUN
cana-2206	135	18	from	from	ADP
cana-2206	135	19	background	background	NOUN
cana-2206	135	20	noise	noise	NOUN
cana-2206	135	21	,	,	PUNCT
cana-2206	135	22	recognizing	recognize	VERB
cana-2206	135	23	characters	character	NOUN
cana-2206	135	24	,	,	PUNCT
cana-2206	135	25	and	and	CCONJ
cana-2206	135	26	making	make	VERB
cana-2206	135	27	accurate	accurate	ADJ
cana-2206	135	28	predictions	prediction	NOUN
cana-2206	135	29	,	,	PUNCT
cana-2206	135	30	even	even	ADV
cana-2206	135	31	in	in	ADP
cana-2206	135	32	challenging	challenging	ADJ
cana-2206	135	33	scenarios	scenario	NOUN
cana-2206	135	34	where	where	SCONJ
cana-2206	135	35	plates	plate	NOUN
cana-2206	135	36	are	be	AUX
cana-2206	135	37	torn	tear	VERB
cana-2206	135	38	,	,	PUNCT
cana-2206	135	39	blurred	blurred	ADJ
cana-2206	135	40	,	,	PUNCT
cana-2206	135	41	or	or	CCONJ
cana-2206	135	42	partially	partially	ADV
cana-2206	135	43	obscured	obscure	VERB
cana-2206	135	44	.	.	PUNCT
cana-2206	136	1	communications	communication	NOUN
cana-2206	136	2	on	on	ADP
cana-2206	136	3	applied	apply	VERB
cana-2206	136	4	nonlinear	nonlinear	ADJ
cana-2206	136	5	analysis	analysis	NOUN
cana-2206	136	6	issn	issn	NOUN
cana-2206	136	7	:	:	PUNCT
cana-2206	136	8	1074	1074	NUM
cana-2206	136	9	-	-	PUNCT
cana-2206	136	10	133x	133x	NUM
cana-2206	136	11	vol	vol	NOUN
cana-2206	136	12	32	32	NUM
cana-2206	136	13	no	no	NOUN
cana-2206	136	14	.	.	PUNCT
cana-2206	137	1	1s	1s	NUM
cana-2206	137	2	(	(	PUNCT
cana-2206	137	3	2025	2025	NUM
cana-2206	137	4	)	)	PUNCT
cana-2206	137	5	425	425	NUM
cana-2206	137	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	137	7	this	this	DET
cana-2206	137	8	advanced	advanced	ADJ
cana-2206	137	9	number	number	NOUN
cana-2206	137	10	plate	plate	NOUN
cana-2206	137	11	detection	detection	NOUN
cana-2206	137	12	system	system	NOUN
cana-2206	137	13	,	,	PUNCT
cana-2206	137	14	powered	power	VERB
cana-2206	137	15	by	by	ADP
cana-2206	137	16	cnns	cnn	NOUN
cana-2206	137	17	,	,	PUNCT
cana-2206	137	18	represents	represent	VERB
cana-2206	137	19	a	a	DET
cana-2206	137	20	significant	significant	ADJ
cana-2206	137	21	leap	leap	NOUN
cana-2206	137	22	in	in	ADP
cana-2206	137	23	automated	automate	VERB
cana-2206	137	24	recognition	recognition	NOUN
cana-2206	137	25	technologies	technology	NOUN
cana-2206	137	26	,	,	PUNCT
cana-2206	137	27	ensuring	ensure	VERB
cana-2206	137	28	high	high	ADJ
cana-2206	137	29	accuracy	accuracy	NOUN
cana-2206	137	30	and	and	CCONJ
cana-2206	137	31	reliability	reliability	NOUN
cana-2206	137	32	in	in	ADP
cana-2206	137	33	real	real	ADJ
cana-2206	137	34	-	-	PUNCT
cana-2206	137	35	world	world	NOUN
cana-2206	137	36	applications	application	NOUN
cana-2206	137	37	.	.	PUNCT
cana-2206	138	1	3.4	3.4	NUM
cana-2206	138	2	model	model	NOUN
cana-2206	138	3	evolution	evolution	NOUN
cana-2206	138	4	assuring	assure	VERB
cana-2206	138	5	the	the	DET
cana-2206	138	6	model	model	NOUN
cana-2206	138	7	's	's	PART
cana-2206	138	8	correctness	correctness	NOUN
cana-2206	138	9	and	and	CCONJ
cana-2206	138	10	dependability	dependability	NOUN
cana-2206	138	11	requires	require	VERB
cana-2206	138	12	evaluating	evaluate	VERB
cana-2206	138	13	cnn	cnn	PROPN
cana-2206	138	14	’s	’s	PART
cana-2206	138	15	performance	performance	NOUN
cana-2206	138	16	for	for	ADP
cana-2206	138	17	sophisticated	sophisticated	ADJ
cana-2206	138	18	number	number	NOUN
cana-2206	138	19	plate	plate	NOUN
cana-2206	138	20	detection	detection	NOUN
cana-2206	138	21	.	.	PUNCT
cana-2206	139	1	using	use	VERB
cana-2206	139	2	a	a	DET
cana-2206	139	3	specific	specific	ADJ
cana-2206	139	4	test	test	NOUN
cana-2206	139	5	dataset	dataset	NOUN
cana-2206	139	6	,	,	PUNCT
cana-2206	139	7	the	the	DET
cana-2206	139	8	evaluation	evaluation	NOUN
cana-2206	139	9	procedure	procedure	NOUN
cana-2206	139	10	starts	start	VERB
cana-2206	139	11	by	by	ADP
cana-2206	139	12	determining	determine	VERB
cana-2206	139	13	how	how	SCONJ
cana-2206	139	14	well	well	ADV
cana-2206	139	15	the	the	DET
cana-2206	139	16	model	model	NOUN
cana-2206	139	17	generalises	generalise	VERB
cana-2206	139	18	to	to	ADP
cana-2206	139	19	new	new	ADJ
cana-2206	139	20	,	,	PUNCT
cana-2206	139	21	unseen	unseen	ADJ
cana-2206	139	22	data	datum	NOUN
cana-2206	139	23	.	.	PUNCT
cana-2206	140	1	this	this	PRON
cana-2206	140	2	is	be	AUX
cana-2206	140	3	an	an	DET
cana-2206	140	4	essential	essential	ADJ
cana-2206	140	5	stage	stage	NOUN
cana-2206	140	6	to	to	PART
cana-2206	140	7	find	find	VERB
cana-2206	140	8	out	out	ADP
cana-2206	140	9	how	how	SCONJ
cana-2206	140	10	well	well	ADV
cana-2206	140	11	the	the	DET
cana-2206	140	12	model	model	NOUN
cana-2206	140	13	works	work	VERB
cana-2206	140	14	when	when	SCONJ
cana-2206	140	15	it	it	PRON
cana-2206	140	16	encounters	encounter	VERB
cana-2206	140	17	partially	partially	ADV
cana-2206	140	18	covered	cover	VERB
cana-2206	140	19	,	,	PUNCT
cana-2206	140	20	blurry	blurry	ADJ
cana-2206	140	21	,	,	PUNCT
cana-2206	140	22	or	or	CCONJ
cana-2206	140	23	torn	tear	VERB
cana-2206	140	24	license	license	NOUN
cana-2206	140	25	plates	plate	NOUN
cana-2206	140	26	in	in	ADP
cana-2206	140	27	realworld	realworld	PROPN
cana-2206	140	28	circumstances	circumstance	NOUN
cana-2206	140	29	.	.	PUNCT
cana-2206	141	1	important	important	ADJ
cana-2206	141	2	measures	measure	NOUN
cana-2206	141	3	including	include	VERB
cana-2206	141	4	recall	recall	NOUN
cana-2206	141	5	,	,	PUNCT
cana-2206	141	6	accuracy	accuracy	NOUN
cana-2206	141	7	,	,	PUNCT
cana-2206	141	8	precision	precision	NOUN
cana-2206	141	9	,	,	PUNCT
cana-2206	141	10	and	and	CCONJ
cana-2206	141	11	f1	f1	NOUN
cana-2206	141	12	score	score	NOUN
cana-2206	141	13	give	give	VERB
cana-2206	141	14	a	a	DET
cana-2206	141	15	clear	clear	ADJ
cana-2206	141	16	picture	picture	NOUN
cana-2206	141	17	of	of	ADP
cana-2206	141	18	how	how	SCONJ
cana-2206	141	19	well	well	ADV
cana-2206	141	20	the	the	DET
cana-2206	141	21	model	model	NOUN
cana-2206	141	22	can	can	AUX
cana-2206	141	23	detect	detect	VERB
cana-2206	141	24	and	and	CCONJ
cana-2206	141	25	recognise	recognise	VERB
cana-2206	141	26	objects	object	NOUN
cana-2206	141	27	.	.	PUNCT
cana-2206	142	1	while	while	SCONJ
cana-2206	142	2	precision	precision	NOUN
cana-2206	142	3	and	and	CCONJ
cana-2206	142	4	recall	recall	NOUN
cana-2206	142	5	provide	provide	VERB
cana-2206	142	6	information	information	NOUN
cana-2206	142	7	on	on	ADP
cana-2206	142	8	the	the	DET
cana-2206	142	9	model	model	NOUN
cana-2206	142	10	's	's	PART
cana-2206	142	11	capacity	capacity	NOUN
cana-2206	142	12	to	to	PART
cana-2206	142	13	recognise	recognise	VERB
cana-2206	142	14	number	number	NOUN
cana-2206	142	15	plates	plate	NOUN
cana-2206	142	16	accurately	accurately	ADV
cana-2206	142	17	and	and	CCONJ
cana-2206	142	18	reduce	reduce	VERB
cana-2206	142	19	false	false	ADJ
cana-2206	142	20	positives	positive	NOUN
cana-2206	142	21	and	and	CCONJ
cana-2206	142	22	false	false	ADJ
cana-2206	142	23	negatives	negative	NOUN
cana-2206	142	24	,	,	PUNCT
cana-2206	142	25	accuracy	accuracy	NOUN
cana-2206	142	26	measures	measure	VERB
cana-2206	142	27	the	the	DET
cana-2206	142	28	model	model	NOUN
cana-2206	142	29	's	's	PART
cana-2206	142	30	overall	overall	ADJ
cana-2206	142	31	correctness	correctness	NOUN
cana-2206	142	32	.	.	PUNCT
cana-2206	143	1	a	a	DET
cana-2206	143	2	reliable	reliable	ADJ
cana-2206	143	3	measure	measure	NOUN
cana-2206	143	4	of	of	ADP
cana-2206	143	5	the	the	DET
cana-2206	143	6	model	model	NOUN
cana-2206	143	7	's	's	PART
cana-2206	143	8	performance	performance	NOUN
cana-2206	143	9	,	,	PUNCT
cana-2206	143	10	especially	especially	ADV
cana-2206	143	11	under	under	ADP
cana-2206	143	12	difficult	difficult	ADJ
cana-2206	143	13	circumstances	circumstance	NOUN
cana-2206	143	14	,	,	PUNCT
cana-2206	143	15	is	be	AUX
cana-2206	143	16	the	the	DET
cana-2206	143	17	f1	f1	PROPN
cana-2206	143	18	score	score	NOUN
cana-2206	143	19	,	,	PUNCT
cana-2206	143	20	which	which	PRON
cana-2206	143	21	strikes	strike	VERB
cana-2206	143	22	a	a	DET
cana-2206	143	23	balance	balance	NOUN
cana-2206	143	24	between	between	ADP
cana-2206	143	25	recall	recall	NOUN
cana-2206	143	26	and	and	CCONJ
cana-2206	143	27	precision	precision	NOUN
cana-2206	143	28	.	.	PUNCT
cana-2206	144	1	the	the	DET
cana-2206	144	2	confusion	confusion	NOUN
cana-2206	144	3	matrix	matrix	NOUN
cana-2206	144	4	is	be	AUX
cana-2206	144	5	visualised	visualise	VERB
cana-2206	144	6	in	in	ADP
cana-2206	144	7	order	order	NOUN
cana-2206	144	8	to	to	PART
cana-2206	144	9	better	well	ADV
cana-2206	144	10	analyse	analyse	VERB
cana-2206	144	11	the	the	DET
cana-2206	144	12	performance	performance	NOUN
cana-2206	144	13	of	of	ADP
cana-2206	144	14	the	the	DET
cana-2206	144	15	model	model	NOUN
cana-2206	144	16	.	.	PUNCT
cana-2206	145	1	the	the	DET
cana-2206	145	2	findings	finding	NOUN
cana-2206	145	3	are	be	AUX
cana-2206	145	4	broken	break	VERB
cana-2206	145	5	down	down	ADP
cana-2206	145	6	into	into	ADP
cana-2206	145	7	true	true	ADJ
cana-2206	145	8	positives	positive	NOUN
cana-2206	145	9	,	,	PUNCT
cana-2206	145	10	true	true	ADJ
cana-2206	145	11	negatives	negative	NOUN
cana-2206	145	12	,	,	PUNCT
cana-2206	145	13	false	false	ADJ
cana-2206	145	14	positives	positive	NOUN
cana-2206	145	15	,	,	PUNCT
cana-2206	145	16	and	and	CCONJ
cana-2206	145	17	false	false	ADJ
cana-2206	145	18	negatives	negative	NOUN
cana-2206	145	19	in	in	ADP
cana-2206	145	20	this	this	DET
cana-2206	145	21	matrix	matrix	NOUN
cana-2206	145	22	,	,	PUNCT
cana-2206	145	23	which	which	PRON
cana-2206	145	24	makes	make	VERB
cana-2206	145	25	it	it	PRON
cana-2206	145	26	easy	easy	ADJ
cana-2206	145	27	to	to	PART
cana-2206	145	28	see	see	VERB
cana-2206	145	29	the	the	DET
cana-2206	145	30	model	model	NOUN
cana-2206	145	31	's	's	PART
cana-2206	145	32	advantages	advantage	NOUN
cana-2206	145	33	and	and	CCONJ
cana-2206	145	34	disadvantages	disadvantage	NOUN
cana-2206	145	35	in	in	ADP
cana-2206	145	36	terms	term	NOUN
cana-2206	145	37	of	of	ADP
cana-2206	145	38	accurately	accurately	ADV
cana-2206	145	39	and	and	CCONJ
cana-2206	145	40	inaccurately	inaccurately	ADV
cana-2206	145	41	identifying	identify	VERB
cana-2206	145	42	plates	plate	NOUN
cana-2206	145	43	.	.	PUNCT
cana-2206	146	1	plotting	plot	VERB
cana-2206	146	2	the	the	DET
cana-2206	146	3	accuracy	accuracy	NOUN
cana-2206	146	4	and	and	CCONJ
cana-2206	146	5	loss	loss	NOUN
cana-2206	146	6	during	during	ADP
cana-2206	146	7	training	training	NOUN
cana-2206	146	8	and	and	CCONJ
cana-2206	146	9	validation	validation	NOUN
cana-2206	146	10	across	across	ADP
cana-2206	146	11	epochs	epoch	NOUN
cana-2206	146	12	also	also	ADV
cana-2206	146	13	aids	aid	VERB
cana-2206	146	14	in	in	ADP
cana-2206	146	15	comprehending	comprehend	VERB
cana-2206	146	16	the	the	DET
cana-2206	146	17	learning	learning	NOUN
cana-2206	146	18	process	process	NOUN
cana-2206	146	19	of	of	ADP
cana-2206	146	20	the	the	DET
cana-2206	146	21	model	model	NOUN
cana-2206	146	22	.	.	PUNCT
cana-2206	147	1	the	the	DET
cana-2206	147	2	model	model	NOUN
cana-2206	147	3	's	's	PART
cana-2206	147	4	learning	learning	NOUN
cana-2206	147	5	from	from	ADP
cana-2206	147	6	the	the	DET
cana-2206	147	7	training	training	NOUN
cana-2206	147	8	data	datum	NOUN
cana-2206	147	9	is	be	AUX
cana-2206	147	10	displayed	display	VERB
cana-2206	147	11	in	in	ADP
cana-2206	147	12	these	these	DET
cana-2206	147	13	charts	chart	NOUN
cana-2206	147	14	,	,	PUNCT
cana-2206	147	15	along	along	ADP
cana-2206	147	16	with	with	ADP
cana-2206	147	17	any	any	DET
cana-2206	147	18	indications	indication	NOUN
cana-2206	147	19	of	of	ADP
cana-2206	147	20	overfitting	overfitte	VERB
cana-2206	147	21	—	—	PUNCT
cana-2206	147	22	a	a	DET
cana-2206	147	23	situation	situation	NOUN
cana-2206	147	24	in	in	ADP
cana-2206	147	25	which	which	PRON
cana-2206	147	26	the	the	DET
cana-2206	147	27	model	model	NOUN
cana-2206	147	28	performs	perform	VERB
cana-2206	147	29	well	well	ADV
cana-2206	147	30	on	on	ADP
cana-2206	147	31	training	training	NOUN
cana-2206	147	32	data	datum	NOUN
cana-2206	147	33	but	but	CCONJ
cana-2206	147	34	finds	find	VERB
cana-2206	147	35	it	it	PRON
cana-2206	147	36	difficult	difficult	ADJ
cana-2206	147	37	to	to	PART
cana-2206	147	38	handle	handle	VERB
cana-2206	147	39	fresh	fresh	ADJ
cana-2206	147	40	data	datum	NOUN
cana-2206	147	41	.	.	PUNCT
cana-2206	148	1	overall	overall	ADV
cana-2206	148	2	,	,	PUNCT
cana-2206	148	3	this	this	DET
cana-2206	148	4	comprehensive	comprehensive	ADJ
cana-2206	148	5	evaluation	evaluation	NOUN
cana-2206	148	6	process	process	NOUN
cana-2206	148	7	is	be	AUX
cana-2206	148	8	essential	essential	ADJ
cana-2206	148	9	for	for	ADP
cana-2206	148	10	making	make	VERB
cana-2206	148	11	informed	informed	ADJ
cana-2206	148	12	decisions	decision	NOUN
cana-2206	148	13	about	about	ADP
cana-2206	148	14	the	the	DET
cana-2206	148	15	model	model	NOUN
cana-2206	148	16	's	's	PART
cana-2206	148	17	effectiveness	effectiveness	NOUN
cana-2206	148	18	and	and	CCONJ
cana-2206	148	19	identifying	identify	VERB
cana-2206	148	20	areas	area	NOUN
cana-2206	148	21	for	for	ADP
cana-2206	148	22	improvement	improvement	NOUN
cana-2206	148	23	.	.	PUNCT
cana-2206	149	1	it	it	PRON
cana-2206	149	2	ensures	ensure	VERB
cana-2206	149	3	that	that	SCONJ
cana-2206	149	4	the	the	DET
cana-2206	149	5	cnn	cnn	PROPN
cana-2206	149	6	-	-	PUNCT
cana-2206	149	7	powered	power	VERB
cana-2206	149	8	number	number	NOUN
cana-2206	149	9	plate	plate	NOUN
cana-2206	149	10	detection	detection	NOUN
cana-2206	149	11	system	system	NOUN
cana-2206	149	12	is	be	AUX
cana-2206	149	13	both	both	CCONJ
cana-2206	149	14	accurate	accurate	ADJ
cana-2206	149	15	and	and	CCONJ
cana-2206	149	16	reliable	reliable	ADJ
cana-2206	149	17	,	,	PUNCT
cana-2206	149	18	capable	capable	ADJ
cana-2206	149	19	of	of	ADP
cana-2206	149	20	handling	handle	VERB
cana-2206	149	21	realworld	realworld	NOUN
cana-2206	149	22	challenges	challenge	NOUN
cana-2206	149	23	with	with	ADP
cana-2206	149	24	high	high	ADJ
cana-2206	149	25	precision	precision	NOUN
cana-2206	149	26	.	.	PUNCT
cana-2206	150	1	4	4	X
cana-2206	150	2	.	.	X
cana-2206	150	3	results	result	NOUN
cana-2206	150	4	and	and	CCONJ
cana-2206	150	5	discussion	discussion	NOUN
cana-2206	150	6	4.1	4.1	NUM
cana-2206	150	7	roi	roi	NOUN
cana-2206	150	8	detection	detection	NOUN
cana-2206	150	9	in	in	ADP
cana-2206	150	10	implementation	implementation	NOUN
cana-2206	150	11	we	we	PRON
cana-2206	150	12	first	first	ADV
cana-2206	150	13	takes	take	VERB
cana-2206	150	14	an	an	DET
cana-2206	150	15	image	image	NOUN
cana-2206	150	16	as	as	ADP
cana-2206	150	17	input	input	NOUN
cana-2206	150	18	(	(	PUNCT
cana-2206	150	19	as	as	SCONJ
cana-2206	150	20	shown	show	VERB
cana-2206	150	21	in	in	ADP
cana-2206	150	22	fig	fig	NOUN
cana-2206	150	23	.1	.1	NUM
cana-2206	150	24	)	)	PUNCT
cana-2206	150	25	and	and	CCONJ
cana-2206	150	26	applies	apply	VERB
cana-2206	150	27	the	the	DET
cana-2206	150	28	'	'	PUNCT
cana-2206	150	29	haar	haar	NOUN
cana-2206	150	30	cascade	cascade	NOUN
cana-2206	150	31	'	'	PUNCT
cana-2206	150	32	classifier	classifier	NOUN
cana-2206	150	33	,	,	PUNCT
cana-2206	150	34	which	which	PRON
cana-2206	150	35	has	have	AUX
cana-2206	150	36	been	be	AUX
cana-2206	150	37	pre	pre	VERB
cana-2206	150	38	-	-	VERB
cana-2206	150	39	trained	train	VERB
cana-2206	150	40	specifically	specifically	ADV
cana-2206	150	41	to	to	PART
cana-2206	150	42	detect	detect	VERB
cana-2206	150	43	indian	indian	ADJ
cana-2206	150	44	license	license	NOUN
cana-2206	150	45	plates	plate	NOUN
cana-2206	150	46	.	.	PUNCT
cana-2206	151	1	the	the	DET
cana-2206	151	2	scalefactor	scalefactor	PROPN
cana-2206	151	3	parameter	parameter	PROPN
cana-2206	151	4	is	be	AUX
cana-2206	151	5	crucial	crucial	ADJ
cana-2206	151	6	for	for	ADP
cana-2206	151	7	adjusting	adjust	VERB
cana-2206	151	8	the	the	DET
cana-2206	151	9	size	size	NOUN
cana-2206	151	10	of	of	ADP
cana-2206	151	11	the	the	DET
cana-2206	151	12	input	input	NOUN
cana-2206	151	13	image	image	NOUN
cana-2206	151	14	to	to	PART
cana-2206	151	15	improve	improve	VERB
cana-2206	151	16	the	the	DET
cana-2206	151	17	accuracy	accuracy	NOUN
cana-2206	151	18	of	of	ADP
cana-2206	151	19	license	license	NOUN
cana-2206	151	20	plate	plate	NOUN
cana-2206	151	21	detection	detection	NOUN
cana-2206	151	22	.	.	PUNCT
cana-2206	152	1	by	by	ADP
cana-2206	152	2	scaling	scale	VERB
cana-2206	152	3	the	the	DET
cana-2206	152	4	image	image	NOUN
cana-2206	152	5	,	,	PUNCT
cana-2206	152	6	the	the	DET
cana-2206	152	7	algorithm	algorithm	NOUN
cana-2206	152	8	can	can	AUX
cana-2206	152	9	more	more	ADV
cana-2206	152	10	effectively	effectively	ADV
cana-2206	152	11	identify	identify	VERB
cana-2206	152	12	license	license	NOUN
cana-2206	152	13	plates	plate	NOUN
cana-2206	152	14	of	of	ADP
cana-2206	152	15	varying	vary	VERB
cana-2206	152	16	sizes	size	NOUN
cana-2206	152	17	.	.	PUNCT
cana-2206	153	1	the	the	DET
cana-2206	153	2	min	min	PROPN
cana-2206	153	3	neighbors	neighbor	NOUN
cana-2206	153	4	parameter	parameter	NOUN
cana-2206	153	5	helps	help	VERB
cana-2206	153	6	reduce	reduce	VERB
cana-2206	153	7	false	false	ADJ
cana-2206	153	8	positives	positive	NOUN
cana-2206	153	9	by	by	ADP
cana-2206	153	10	controlling	control	VERB
cana-2206	153	11	how	how	SCONJ
cana-2206	153	12	many	many	ADJ
cana-2206	153	13	neighbors	neighbor	NOUN
cana-2206	153	14	each	each	DET
cana-2206	153	15	candidate	candidate	NOUN
cana-2206	153	16	rectangle	rectangle	NOUN
cana-2206	153	17	should	should	AUX
cana-2206	153	18	have	have	VERB
cana-2206	153	19	to	to	PART
cana-2206	153	20	retain	retain	VERB
cana-2206	153	21	it	it	PRON
cana-2206	153	22	.	.	PUNCT
cana-2206	154	1	a	a	DET
cana-2206	154	2	lower	low	ADJ
cana-2206	154	3	value	value	NOUN
cana-2206	154	4	for	for	ADP
cana-2206	154	5	minneighbors	minneighbor	NOUN
cana-2206	154	6	can	can	AUX
cana-2206	154	7	lead	lead	VERB
cana-2206	154	8	to	to	ADP
cana-2206	154	9	a	a	DET
cana-2206	154	10	higher	high	ADJ
cana-2206	154	11	chance	chance	NOUN
cana-2206	154	12	of	of	ADP
cana-2206	154	13	misrecognition	misrecognition	NOUN
cana-2206	154	14	,	,	PUNCT
cana-2206	154	15	as	as	SCONJ
cana-2206	154	16	it	it	PRON
cana-2206	154	17	allows	allow	VERB
cana-2206	154	18	the	the	DET
cana-2206	154	19	algorithm	algorithm	NOUN
cana-2206	154	20	to	to	PART
cana-2206	154	21	be	be	AUX
cana-2206	154	22	less	less	ADV
cana-2206	154	23	stringent	stringent	ADJ
cana-2206	154	24	,	,	PUNCT
cana-2206	154	25	potentially	potentially	ADV
cana-2206	154	26	recognizing	recognize	VERB
cana-2206	154	27	non	non	ADJ
cana-2206	154	28	-	-	ADJ
cana-2206	154	29	license	license	ADJ
cana-2206	154	30	plate	plate	NOUN
cana-2206	154	31	areas	area	NOUN
cana-2206	154	32	as	as	ADP
cana-2206	154	33	valid	valid	ADJ
cana-2206	154	34	plates	plate	NOUN
cana-2206	154	35	table	table	NOUN
cana-2206	154	36	1	1	NUM
cana-2206	154	37	.	.	PUNCT
cana-2206	154	38	exiting	exit	VERB
cana-2206	154	39	methods	method	NOUN
cana-2206	154	40	vs	vs	ADP
cana-2206	154	41	proposed	propose	VERB
cana-2206	154	42	method	method	NOUN
cana-2206	154	43	author	author	NOUN
cana-2206	154	44	proposed	propose	VERB
cana-2206	154	45	technique	technique	NOUN
cana-2206	154	46	dataset	dataset	NOUN
cana-2206	154	47	samples	sample	NOUN
cana-2206	154	48	results	result	VERB
cana-2206	154	49	our	our	PRON
cana-2206	154	50	model	model	NOUN
cana-2206	154	51	optimized	optimize	VERB
cana-2206	154	52	cnn	cnn	PROPN
cana-2206	154	53	1080	1080	NUM
cana-2206	154	54	99.54	99.54	NUM
cana-2206	154	55	%	%	NOUN
cana-2206	154	56	shan	shan	PROPN
cana-2206	154	57	luo	luo	PROPN
cana-2206	154	58	,	,	PUNCT
cana-2206	154	59	jihong	jihong	PROPN
cana-2206	154	60	liu	liu	PROPN
cana-2206	154	61	yolov5	yolov5	PROPN
cana-2206	154	62	m	m	PROPN
cana-2206	154	63	and	and	CCONJ
cana-2206	154	64	lprnet	lprnet	PROPN
cana-2206	154	65	250000	250000	NUM
cana-2206	154	66	99.56	99.56	NUM
cana-2206	154	67	%	%	NOUN
cana-2206	154	68	zuhaib	zuhaib	PROPN
cana-2206	154	69	akhtar1	akhtar1	PROPN
cana-2206	154	70	and	and	CCONJ
cana-2206	154	71	rashid	rashid	PROPN
cana-2206	154	72	ali	ali	PROPN
cana-2206	154	73	modified	modify	VERB
cana-2206	154	74	ocr	ocr	PROPN
cana-2206	154	75	technique	technique	NOUN
cana-2206	154	76	350	350	NUM
cana-2206	154	77	90.9	90.9	NUM
cana-2206	154	78	%	%	NOUN
cana-2206	154	79	communications	communication	NOUN
cana-2206	154	80	on	on	ADP
cana-2206	154	81	applied	apply	VERB
cana-2206	154	82	nonlinear	nonlinear	ADJ
cana-2206	154	83	analysis	analysis	NOUN
cana-2206	154	84	issn	issn	NOUN
cana-2206	154	85	:	:	PUNCT
cana-2206	154	86	1074	1074	NUM
cana-2206	154	87	-	-	PUNCT
cana-2206	154	88	133x	133x	NUM
cana-2206	154	89	vol	vol	NOUN
cana-2206	154	90	32	32	NUM
cana-2206	155	1	no	no	NOUN
cana-2206	155	2	.	.	PUNCT
cana-2206	156	1	1s	1s	NUM
cana-2206	156	2	(	(	PUNCT
cana-2206	156	3	2025	2025	NUM
cana-2206	156	4	)	)	PUNCT
cana-2206	156	5	426	426	NUM
cana-2206	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	156	7	marzuki	marzuki	PROPN
cana-2206	156	8	p.	p.	PROPN
cana-2206	156	9	wong	wong	PROPN
cana-2206	156	10	y.	y.	PROPN
cana-2206	156	11	c.	c.	PROPN
cana-2206	156	12	,	,	PUNCT
cana-2206	156	13	n.	n.	PROPN
cana-2206	156	14	hamid	hamid	PROPN
cana-2206	156	15	,	,	PUNCT
cana-2206	156	16	a.	a.	PROPN
cana-2206	156	17	nur	nur	PROPN
cana-2206	156	18	alisa	alisa	NOUN
cana-2206	156	19	,	,	PUNCT
cana-2206	156	20	m.	m.	NOUN
cana-2206	156	21	ibrahim	ibrahim	PROPN
cana-2206	156	22	,	,	PUNCT
cana-2206	156	23	a.	a.	PROPN
cana-2206	156	24	syafeeza	syafeeza	PROPN
cana-2206	156	25	cnn	cnn	PROPN
cana-2206	156	26	1000	1000	NUM
cana-2206	156	27	94.6	94.6	NUM
cana-2206	156	28	%	%	NOUN
cana-2206	156	29	laroca	laroca	NOUN
cana-2206	156	30	et	et	PROPN
cana-2206	156	31	a	a	DET
cana-2206	156	32	yolo	yolo	ADJ
cana-2206	157	1	6,239	6,239	NUM
cana-2206	157	2	96.7	96.7	NUM
cana-2206	157	3	%	%	NOUN
cana-2206	157	4	yang	yang	PROPN
cana-2206	157	5	w.	w.	PROPN
cana-2206	157	6	,meng	,meng	PUNCT
cana-2206	157	7	a	a	PRON
cana-2206	157	8	,	,	PUNCT
cana-2206	157	9	,	,	PUNCT
cana-2206	157	10	z.	z.	PROPN
cana-2206	157	11	xu	xu	PROPN
cana-2206	157	12	,	,	PUNCT
cana-2206	157	13	h.	h.	PROPN
cana-2206	157	14	huang	huang	PROPN
cana-2206	157	15	,	,	PUNCT
cana-2206	157	16	l.	l.	PROPN
cana-2206	157	17	huang	huang	PROPN
cana-2206	157	18	,	,	PUNCT
cana-2206	157	19	n.	n.	PROPN
cana-2206	157	20	lu	lu	PROPN
cana-2206	157	21	94.7	94.7	NUM
cana-2206	157	22	spatial	spatial	ADJ
cana-2206	157	23	transformer	transformer	NOUN
cana-2206	157	24	94.7	94.7	NUM
cana-2206	157	25	spatial	spatial	ADJ
cana-2206	157	26	transformer	transformer	NOUN
cana-2206	157	27	cnn	cnn	PROPN
cana-2206	157	28	spatial	spatial	PROPN
cana-2206	157	29	transformer	transformer	NOUN
cana-2206	157	30	10000	10000	NUM
cana-2206	157	31	94.7	94.7	NUM
cana-2206	157	32	%	%	NOUN
cana-2206	157	33	figure	figure	NOUN
cana-2206	157	34	2	2	NUM
cana-2206	157	35	.	.	PUNCT
cana-2206	157	36	original	original	ADJ
cana-2206	157	37	image	image	NOUN
cana-2206	157	38	figure	figure	NOUN
cana-2206	157	39	3	3	NUM
cana-2206	157	40	.	.	PUNCT
cana-2206	157	41	roi	roi	NOUN
cana-2206	157	42	detected	detect	VERB
cana-2206	157	43	output	output	NOUN
cana-2206	157	44	to	to	PART
cana-2206	157	45	facilitate	facilitate	VERB
cana-2206	157	46	the	the	DET
cana-2206	157	47	character	character	NOUN
cana-2206	157	48	extraction	extraction	NOUN
cana-2206	157	49	process	process	NOUN
cana-2206	157	50	,	,	PUNCT
cana-2206	157	51	we	we	PRON
cana-2206	157	52	need	need	VERB
cana-2206	157	53	to	to	PART
cana-2206	157	54	further	far	ADV
cana-2206	157	55	process	process	VERB
cana-2206	157	56	the	the	DET
cana-2206	157	57	image	image	NOUN
cana-2206	157	58	.	.	PUNCT
cana-2206	158	1	this	this	PRON
cana-2206	158	2	involves	involve	VERB
cana-2206	158	3	defining	define	VERB
cana-2206	158	4	additional	additional	ADJ
cana-2206	158	5	functions	function	NOUN
cana-2206	158	6	that	that	PRON
cana-2206	158	7	will	will	AUX
cana-2206	158	8	enhance	enhance	VERB
cana-2206	158	9	the	the	DET
cana-2206	158	10	image	image	NOUN
cana-2206	158	11	,	,	PUNCT
cana-2206	158	12	making	make	VERB
cana-2206	158	13	it	it	PRON
cana-2206	158	14	easier	easy	ADJ
cana-2206	158	15	to	to	PART
cana-2206	158	16	segment	segment	VERB
cana-2206	158	17	and	and	CCONJ
cana-2206	158	18	recognize	recognize	VERB
cana-2206	158	19	individual	individual	ADJ
cana-2206	158	20	characters	character	NOUN
cana-2206	158	21	.	.	PUNCT
cana-2206	159	1	these	these	DET
cana-2206	159	2	functions	function	NOUN
cana-2206	159	3	will	will	AUX
cana-2206	159	4	handle	handle	VERB
cana-2206	159	5	tasks	task	NOUN
cana-2206	159	6	such	such	ADJ
cana-2206	159	7	as	as	ADP
cana-2206	159	8	binarization	binarization	NOUN
cana-2206	159	9	,	,	PUNCT
cana-2206	159	10	noise	noise	NOUN
cana-2206	159	11	reduction	reduction	NOUN
cana-2206	159	12	,	,	PUNCT
cana-2206	159	13	and	and	CCONJ
cana-2206	159	14	contour	contour	NOUN
cana-2206	159	15	detection	detection	NOUN
cana-2206	159	16	,	,	PUNCT
cana-2206	159	17	setting	set	VERB
cana-2206	159	18	the	the	DET
cana-2206	159	19	stage	stage	NOUN
cana-2206	159	20	for	for	ADP
cana-2206	159	21	accurate	accurate	ADJ
cana-2206	159	22	character	character	NOUN
cana-2206	159	23	extraction	extraction	NOUN
cana-2206	159	24	from	from	ADP
cana-2206	159	25	the	the	DET
cana-2206	159	26	license	license	NOUN
cana-2206	159	27	plate	plate	NOUN
cana-2206	159	28	.	.	PUNCT
cana-2206	160	1	the	the	DET
cana-2206	160	2	function	function	NOUN
cana-2206	160	3	processes	process	VERB
cana-2206	160	4	the	the	DET
cana-2206	160	5	input	input	NOUN
cana-2206	160	6	image	image	NOUN
cana-2206	160	7	by	by	ADP
cana-2206	160	8	performing	perform	VERB
cana-2206	160	9	the	the	DET
cana-2206	160	10	following	follow	VERB
cana-2206	160	11	operations	operation	NOUN
cana-2206	160	12	:	:	PUNCT
cana-2206	160	13	•	•	NUM
cana-2206	160	14	resizing	resize	VERB
cana-2206	160	15	:	:	PUNCT
cana-2206	160	16	the	the	DET
cana-2206	160	17	image	image	NOUN
cana-2206	160	18	is	be	AUX
cana-2206	160	19	resized	resize	VERB
cana-2206	160	20	to	to	ADP
cana-2206	160	21	a	a	DET
cana-2206	160	22	dimension	dimension	NOUN
cana-2206	160	23	that	that	PRON
cana-2206	160	24	ensures	ensure	VERB
cana-2206	160	25	all	all	DET
cana-2206	160	26	characters	character	NOUN
cana-2206	160	27	are	be	AUX
cana-2206	160	28	distinct	distinct	ADJ
cana-2206	160	29	and	and	CCONJ
cana-2206	160	30	clear	clear	ADJ
cana-2206	160	31	,	,	PUNCT
cana-2206	160	32	which	which	PRON
cana-2206	160	33	is	be	AUX
cana-2206	160	34	crucial	crucial	ADJ
cana-2206	160	35	for	for	ADP
cana-2206	160	36	accurate	accurate	ADJ
cana-2206	160	37	character	character	NOUN
cana-2206	160	38	recognition	recognition	NOUN
cana-2206	160	39	.	.	PUNCT
cana-2206	161	1	•	•	NUM
cana-2206	161	2	grayscale	grayscale	PROPN
cana-2206	161	3	conversion	conversion	NOUN
cana-2206	161	4	:	:	PUNCT
cana-2206	161	5	the	the	DET
cana-2206	161	6	colored	colored	ADJ
cana-2206	161	7	image	image	NOUN
cana-2206	161	8	is	be	AUX
cana-2206	161	9	converted	convert	VERB
cana-2206	161	10	to	to	ADP
cana-2206	161	11	grayscale	grayscale	NOUN
cana-2206	161	12	,	,	PUNCT
cana-2206	161	13	reducing	reduce	VERB
cana-2206	161	14	it	it	PRON
cana-2206	161	15	from	from	ADP
cana-2206	161	16	three	three	NUM
cana-2206	161	17	channels	channel	NOUN
cana-2206	161	18	(	(	PUNCT
cana-2206	161	19	bgr	bgr	PROPN
cana-2206	161	20	)	)	PUNCT
cana-2206	161	21	to	to	ADP
cana-2206	161	22	a	a	DET
cana-2206	161	23	single	single	ADJ
cana-2206	161	24	8	8	NUM
cana-2206	161	25	-	-	PUNCT
cana-2206	161	26	bit	bit	NOUN
cana-2206	161	27	channel	channel	NOUN
cana-2206	161	28	.	.	PUNCT
cana-2206	162	1	in	in	ADP
cana-2206	162	2	this	this	DET
cana-2206	162	3	grayscale	grayscale	NOUN
cana-2206	162	4	image	image	NOUN
cana-2206	162	5	,	,	PUNCT
cana-2206	162	6	pixel	pixel	PROPN
cana-2206	162	7	values	value	NOUN
cana-2206	162	8	range	range	VERB
cana-2206	162	9	from	from	ADP
cana-2206	162	10	0	0	NUM
cana-2206	162	11	to	to	ADP
cana-2206	162	12	255	255	NUM
cana-2206	162	13	,	,	PUNCT
cana-2206	162	14	where	where	SCONJ
cana-2206	162	15	0	0	NUM
cana-2206	162	16	represents	represent	VERB
cana-2206	162	17	black	black	ADJ
cana-2206	162	18	and	and	CCONJ
cana-2206	162	19	255	255	NUM
cana-2206	162	20	represents	represent	VERB
cana-2206	162	21	white	white	ADJ
cana-2206	162	22	.	.	PUNCT
cana-2206	163	1	this	this	DET
cana-2206	163	2	conversion	conversion	NOUN
cana-2206	163	3	simplifies	simplify	VERB
cana-2206	163	4	the	the	DET
cana-2206	163	5	image	image	NOUN
cana-2206	163	6	and	and	CCONJ
cana-2206	163	7	prepares	prepare	VERB
cana-2206	163	8	it	it	PRON
cana-2206	163	9	for	for	ADP
cana-2206	163	10	further	further	ADJ
cana-2206	163	11	processing	processing	NOUN
cana-2206	163	12	.	.	PUNCT
cana-2206	164	1	•	•	NOUN
cana-2206	164	2	thresholding	thresholde	VERB
cana-2206	164	3	:	:	PUNCT
cana-2206	164	4	the	the	DET
cana-2206	164	5	grayscale	grayscale	NOUN
cana-2206	164	6	image	image	NOUN
cana-2206	164	7	is	be	AUX
cana-2206	164	8	then	then	ADV
cana-2206	164	9	converted	convert	VERB
cana-2206	164	10	to	to	ADP
cana-2206	164	11	a	a	DET
cana-2206	164	12	binary	binary	ADJ
cana-2206	164	13	image	image	NOUN
cana-2206	164	14	.	.	PUNCT
cana-2206	165	1	in	in	ADP
cana-2206	165	2	this	this	DET
cana-2206	165	3	step	step	NOUN
cana-2206	165	4	,	,	PUNCT
cana-2206	165	5	each	each	DET
cana-2206	165	6	pixel	pixel	NOUN
cana-2206	165	7	is	be	AUX
cana-2206	165	8	assigned	assign	VERB
cana-2206	165	9	a	a	DET
cana-2206	165	10	value	value	NOUN
cana-2206	165	11	of	of	ADP
cana-2206	165	12	either	either	CCONJ
cana-2206	165	13	0	0	NUM
cana-2206	165	14	or	or	CCONJ
cana-2206	165	15	1	1	NUM
cana-2206	165	16	.	.	PUNCT
cana-2206	166	1	pixels	pixel	NOUN
cana-2206	166	2	with	with	ADP
cana-2206	166	3	a	a	DET
cana-2206	166	4	grayscale	grayscale	NOUN
cana-2206	166	5	value	value	NOUN
cana-2206	166	6	above	above	ADP
cana-2206	166	7	a	a	DET
cana-2206	166	8	specified	specify	VERB
cana-2206	166	9	threshold	threshold	NOUN
cana-2206	166	10	(	(	PUNCT
cana-2206	166	11	in	in	ADP
cana-2206	166	12	this	this	DET
cana-2206	166	13	case	case	NOUN
cana-2206	166	14	,	,	PUNCT
cana-2206	166	15	200	200	NUM
cana-2206	166	16	)	)	PUNCT
cana-2206	166	17	are	be	AUX
cana-2206	166	18	converted	convert	VERB
cana-2206	166	19	to	to	ADP
cana-2206	166	20	1	1	NUM
cana-2206	166	21	(	(	PUNCT
cana-2206	166	22	white	white	ADJ
cana-2206	166	23	)	)	PUNCT
cana-2206	166	24	,	,	PUNCT
cana-2206	166	25	while	while	SCONJ
cana-2206	166	26	those	those	PRON
cana-2206	166	27	below	below	ADP
cana-2206	166	28	the	the	DET
cana-2206	166	29	threshold	threshold	NOUN
cana-2206	166	30	are	be	AUX
cana-2206	166	31	set	set	VERB
cana-2206	166	32	to	to	ADP
cana-2206	166	33	0	0	NUM
cana-2206	167	1	(	(	PUNCT
cana-2206	167	2	black	black	NOUN
cana-2206	167	3	)	)	PUNCT
cana-2206	167	4	.	.	PUNCT
cana-2206	168	1	this	this	DET
cana-2206	168	2	binary	binary	PROPN
cana-2206	168	3	conversion	conversion	NOUN
cana-2206	168	4	is	be	AUX
cana-2206	168	5	essential	essential	ADJ
cana-2206	168	6	for	for	ADP
cana-2206	168	7	isolating	isolate	VERB
cana-2206	168	8	the	the	DET
cana-2206	168	9	characters	character	NOUN
cana-2206	168	10	from	from	ADP
cana-2206	168	11	the	the	DET
cana-2206	168	12	background	background	NOUN
cana-2206	168	13	.	.	PUNCT
cana-2206	169	1	•	•	PUNCT
cana-2206	169	2	eroding	erode	VERB
cana-2206	169	3	:	:	PUNCT
cana-2206	169	4	erosion	erosion	NOUN
cana-2206	169	5	is	be	AUX
cana-2206	169	6	applied	apply	VERB
cana-2206	169	7	to	to	PART
cana-2206	169	8	remove	remove	VERB
cana-2206	169	9	unwanted	unwanted	ADJ
cana-2206	169	10	noise	noise	NOUN
cana-2206	169	11	from	from	ADP
cana-2206	169	12	the	the	DET
cana-2206	169	13	object	object	NOUN
cana-2206	169	14	’s	’s	PART
cana-2206	169	15	boundaries	boundary	NOUN
cana-2206	169	16	.	.	PUNCT
cana-2206	170	1	it	it	PRON
cana-2206	170	2	works	work	VERB
cana-2206	170	3	by	by	ADP
cana-2206	170	4	evaluating	evaluate	VERB
cana-2206	170	5	each	each	DET
cana-2206	170	6	pixel	pixel	NOUN
cana-2206	170	7	and	and	CCONJ
cana-2206	170	8	its	its	PRON
cana-2206	170	9	neighbors	neighbor	NOUN
cana-2206	170	10	(	(	PUNCT
cana-2206	170	11	depending	depend	VERB
cana-2206	170	12	on	on	ADP
cana-2206	170	13	the	the	DET
cana-2206	170	14	kernel	kernel	NOUN
cana-2206	170	15	size	size	NOUN
cana-2206	170	16	)	)	PUNCT
cana-2206	170	17	.	.	PUNCT
cana-2206	171	1	a	a	DET
cana-2206	171	2	pixel	pixel	NOUN
cana-2206	171	3	is	be	AUX
cana-2206	171	4	set	set	VERB
cana-2206	171	5	to	to	ADP
cana-2206	171	6	1	1	NUM
cana-2206	171	7	only	only	ADV
cana-2206	171	8	if	if	SCONJ
cana-2206	171	9	all	all	DET
cana-2206	171	10	its	its	PRON
cana-2206	171	11	neighboring	neighboring	NOUN
cana-2206	171	12	pixels	pixel	NOUN
cana-2206	171	13	are	be	AUX
cana-2206	171	14	also	also	ADV
cana-2206	171	15	1	1	NUM
cana-2206	171	16	;	;	PUNCT
cana-2206	171	17	otherwise	otherwise	ADV
cana-2206	171	18	,	,	PUNCT
cana-2206	171	19	it	it	PRON
cana-2206	171	20	is	be	AUX
cana-2206	171	21	set	set	VERB
cana-2206	171	22	to	to	ADP
cana-2206	171	23	0	0	NUM
cana-2206	171	24	.	.	PUNCT
cana-2206	172	1	this	this	DET
cana-2206	172	2	step	step	NOUN
cana-2206	172	3	helps	help	VERB
cana-2206	172	4	clean	clean	VERB
cana-2206	172	5	up	up	ADP
cana-2206	172	6	the	the	DET
cana-2206	172	7	image	image	NOUN
cana-2206	172	8	by	by	ADP
cana-2206	172	9	eliminating	eliminate	VERB
cana-2206	172	10	small	small	ADJ
cana-2206	172	11	,	,	PUNCT
cana-2206	172	12	irrelevant	irrelevant	ADJ
cana-2206	172	13	details	detail	NOUN
cana-2206	172	14	.	.	PUNCT
cana-2206	173	1	•	•	NUM
cana-2206	173	2	dilating	dilating	NOUN
cana-2206	173	3	:	:	PUNCT
cana-2206	173	4	after	after	ADP
cana-2206	173	5	erosion	erosion	NOUN
cana-2206	173	6	,	,	PUNCT
cana-2206	173	7	dilation	dilation	NOUN
cana-2206	173	8	is	be	AUX
cana-2206	173	9	performed	perform	VERB
cana-2206	173	10	to	to	PART
cana-2206	173	11	fill	fill	VERB
cana-2206	173	12	in	in	ADP
cana-2206	173	13	any	any	DET
cana-2206	173	14	gaps	gap	NOUN
cana-2206	173	15	or	or	CCONJ
cana-2206	173	16	absent	absent	ADJ
cana-2206	173	17	pixels	pixel	NOUN
cana-2206	173	18	.	.	PUNCT
cana-2206	174	1	in	in	ADP
cana-2206	174	2	this	this	DET
cana-2206	174	3	process	process	NOUN
cana-2206	174	4	,	,	PUNCT
cana-2206	174	5	a	a	DET
cana-2206	174	6	pixel	pixel	NOUN
cana-2206	174	7	is	be	AUX
cana-2206	174	8	given	give	VERB
cana-2206	174	9	a	a	DET
cana-2206	174	10	value	value	NOUN
cana-2206	174	11	of	of	ADP
cana-2206	174	12	1	1	NUM
cana-2206	174	13	if	if	SCONJ
cana-2206	174	14	at	at	ADV
cana-2206	174	15	least	least	ADJ
cana-2206	174	16	one	one	NUM
cana-2206	174	17	of	of	ADP
cana-2206	174	18	its	its	PRON
cana-2206	174	19	neighboring	neighboring	NOUN
cana-2206	174	20	pixels	pixel	NOUN
cana-2206	174	21	is	be	AUX
cana-2206	174	22	1	1	NUM
cana-2206	174	23	.	.	PUNCT
cana-2206	175	1	this	this	DET
cana-2206	175	2	step	step	NOUN
cana-2206	175	3	ensures	ensure	VERB
cana-2206	175	4	communications	communication	NOUN
cana-2206	175	5	on	on	ADP
cana-2206	175	6	applied	apply	VERB
cana-2206	175	7	nonlinear	nonlinear	ADJ
cana-2206	175	8	analysis	analysis	NOUN
cana-2206	175	9	issn	issn	NOUN
cana-2206	175	10	:	:	PUNCT
cana-2206	175	11	1074	1074	NUM
cana-2206	175	12	-	-	PUNCT
cana-2206	175	13	133x	133x	NUM
cana-2206	175	14	vol	vol	NOUN
cana-2206	175	15	32	32	NUM
cana-2206	175	16	no	no	NOUN
cana-2206	175	17	.	.	PUNCT
cana-2206	176	1	1s	1s	NUM
cana-2206	176	2	(	(	PUNCT
cana-2206	176	3	2025	2025	NUM
cana-2206	176	4	)	)	PUNCT
cana-2206	176	5	427	427	NUM
cana-2206	176	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	176	7	that	that	SCONJ
cana-2206	176	8	the	the	DET
cana-2206	176	9	characters	character	NOUN
cana-2206	176	10	are	be	AUX
cana-2206	176	11	fully	fully	ADV
cana-2206	176	12	formed	form	VERB
cana-2206	176	13	and	and	CCONJ
cana-2206	176	14	clearly	clearly	ADV
cana-2206	176	15	defined	define	VERB
cana-2206	176	16	in	in	ADP
cana-2206	176	17	the	the	DET
cana-2206	176	18	binary	binary	ADJ
cana-2206	176	19	image	image	NOUN
cana-2206	176	20	.	.	PUNCT
cana-2206	177	1	•	•	NUM
cana-2206	177	2	border	border	NOUN
cana-2206	177	3	cleaning	cleaning	NOUN
cana-2206	177	4	:	:	PUNCT
cana-2206	177	5	the	the	DET
cana-2206	177	6	boundaries	boundary	NOUN
cana-2206	177	7	of	of	ADP
cana-2206	177	8	the	the	DET
cana-2206	177	9	image	image	NOUN
cana-2206	177	10	are	be	AUX
cana-2206	177	11	then	then	ADV
cana-2206	177	12	made	make	VERB
cana-2206	177	13	white	white	ADJ
cana-2206	177	14	to	to	PART
cana-2206	177	15	remove	remove	VERB
cana-2206	177	16	any	any	DET
cana-2206	177	17	out	out	ADJ
cana-2206	177	18	-	-	PUNCT
cana-2206	177	19	offrame	offrame	ADJ
cana-2206	177	20	pixels	pixel	NOUN
cana-2206	177	21	that	that	PRON
cana-2206	177	22	may	may	AUX
cana-2206	177	23	still	still	ADV
cana-2206	177	24	be	be	AUX
cana-2206	177	25	present	present	ADJ
cana-2206	177	26	,	,	PUNCT
cana-2206	177	27	further	far	ADV
cana-2206	177	28	refining	refine	VERB
cana-2206	177	29	the	the	DET
cana-2206	177	30	image	image	NOUN
cana-2206	177	31	.	.	PUNCT
cana-2206	178	1	•	•	NUM
cana-2206	178	2	dimension	dimension	NOUN
cana-2206	178	3	filtering	filtering	NOUN
cana-2206	178	4	:	:	PUNCT
cana-2206	178	5	a	a	DET
cana-2206	178	6	list	list	NOUN
cana-2206	178	7	of	of	ADP
cana-2206	178	8	dimensions	dimension	NOUN
cana-2206	178	9	is	be	AUX
cana-2206	178	10	defined	define	VERB
cana-2206	178	11	,	,	PUNCT
cana-2206	178	12	which	which	PRON
cana-2206	178	13	is	be	AUX
cana-2206	178	14	used	use	VERB
cana-2206	178	15	to	to	PART
cana-2206	178	16	compare	compare	VERB
cana-2206	178	17	and	and	CCONJ
cana-2206	178	18	filter	filter	VERB
cana-2206	178	19	the	the	DET
cana-2206	178	20	characters	character	NOUN
cana-2206	178	21	based	base	VERB
cana-2206	178	22	on	on	ADP
cana-2206	178	23	their	their	PRON
cana-2206	178	24	size	size	NOUN
cana-2206	178	25	,	,	PUNCT
cana-2206	178	26	ensuring	ensure	VERB
cana-2206	178	27	that	that	SCONJ
cana-2206	178	28	only	only	ADV
cana-2206	178	29	the	the	DET
cana-2206	178	30	required	require	VERB
cana-2206	178	31	characters	character	NOUN
cana-2206	178	32	are	be	AUX
cana-2206	178	33	retained	retain	VERB
cana-2206	178	34	.	.	PUNCT
cana-2206	179	1	after	after	ADP
cana-2206	179	2	these	these	DET
cana-2206	179	3	operations	operation	NOUN
cana-2206	179	4	,	,	PUNCT
cana-2206	179	5	the	the	DET
cana-2206	179	6	image	image	NOUN
cana-2206	179	7	is	be	AUX
cana-2206	179	8	reduced	reduce	VERB
cana-2206	179	9	to	to	ADP
cana-2206	179	10	a	a	DET
cana-2206	179	11	clean	clean	ADJ
cana-2206	179	12	,	,	PUNCT
cana-2206	179	13	processed	process	VERB
cana-2206	179	14	binary	binary	ADJ
cana-2206	179	15	form	form	NOUN
cana-2206	179	16	,	,	PUNCT
cana-2206	179	17	making	make	VERB
cana-2206	179	18	it	it	PRON
cana-2206	179	19	ready	ready	ADJ
cana-2206	179	20	for	for	ADP
cana-2206	179	21	the	the	DET
cana-2206	179	22	character	character	NOUN
cana-2206	179	23	extraction	extraction	NOUN
cana-2206	179	24	phase	phase	NOUN
cana-2206	179	25	.	.	PUNCT
cana-2206	179	26	"	"	PUNCT
cana-2206	180	1	4.2	4.2	NUM
cana-2206	180	2	counter	counter	NOUN
cana-2206	180	3	matching	matching	NOUN
cana-2206	180	4	and	and	CCONJ
cana-2206	180	5	character	character	NOUN
cana-2206	180	6	detection	detection	NOUN
cana-2206	180	7	figure	figure	NOUN
cana-2206	180	8	4	4	NUM
cana-2206	180	9	.	.	PUNCT
cana-2206	180	10	extracted	extract	VERB
cana-2206	180	11	licence	licence	NOUN
cana-2206	180	12	plate	plate	NOUN
cana-2206	180	13	from	from	ADP
cana-2206	180	14	image	image	NOUN
cana-2206	180	15	figure	figure	NOUN
cana-2206	180	16	5	5	NUM
cana-2206	180	17	.	.	PUNCT
cana-2206	180	18	character	character	NOUN
cana-2206	180	19	counter	counter	PROPN
cana-2206	180	20	detect	detect	PROPN
cana-2206	180	21	output	output	NOUN
cana-2206	180	22	figure	figure	NOUN
cana-2206	180	23	6	6	NUM
cana-2206	180	24	.	.	PUNCT
cana-2206	181	1	character	character	NOUN
cana-2206	181	2	segmentation	segmentation	NOUN
cana-2206	181	3	4.2.1	4.2.1	NUM
cana-2206	181	4	finding	find	VERB
cana-2206	181	5	counters	counter	NOUN
cana-2206	181	6	the	the	DET
cana-2206	181	7	first	first	ADJ
cana-2206	181	8	step	step	NOUN
cana-2206	181	9	is	be	AUX
cana-2206	181	10	to	to	PART
cana-2206	181	11	identify	identify	VERB
cana-2206	181	12	all	all	DET
cana-2206	181	13	the	the	DET
cana-2206	181	14	contours	contours	NOUN
cana-2206	181	15	in	in	ADP
cana-2206	181	16	the	the	DET
cana-2206	181	17	binary	binary	ADJ
cana-2206	181	18	image	image	NOUN
cana-2206	181	19	using	use	VERB
cana-2206	181	20	the	the	DET
cana-2206	181	21	cv2.findcontours	cv2.findcontours	PROPN
cana-2206	181	22	function	function	NOUN
cana-2206	181	23	.	.	PUNCT
cana-2206	182	1	contours	contours	PROPN
cana-2206	182	2	were	be	AUX
cana-2206	182	3	essentially	essentially	ADV
cana-2206	182	4	curves	curve	NOUN
cana-2206	182	5	which	which	PRON
cana-2206	182	6	connect	connect	VERB
cana-2206	182	7	continuous	continuous	ADJ
cana-2206	182	8	points	point	NOUN
cana-2206	182	9	along	along	ADP
cana-2206	182	10	the	the	DET
cana-2206	182	11	boundary	boundary	NOUN
cana-2206	182	12	of	of	ADP
cana-2206	182	13	regions	region	NOUN
cana-2206	182	14	with	with	ADP
cana-2206	182	15	the	the	DET
cana-2206	182	16	same	same	ADJ
cana-2206	182	17	color	color	NOUN
cana-2206	182	18	or	or	CCONJ
cana-2206	182	19	intensity	intensity	NOUN
cana-2206	182	20	.	.	PUNCT
cana-2206	183	1	these	these	DET
cana-2206	183	2	contours	contours	NOUN
cana-2206	183	3	represent	represent	VERB
cana-2206	183	4	the	the	DET
cana-2206	183	5	boundaries	boundary	NOUN
cana-2206	183	6	of	of	ADP
cana-2206	183	7	potential	potential	ADJ
cana-2206	183	8	characters	character	NOUN
cana-2206	183	9	on	on	ADP
cana-2206	183	10	the	the	DET
cana-2206	183	11	license	license	NOUN
cana-2206	183	12	plate	plate	NOUN
cana-2206	183	13	.	.	PUNCT
cana-2206	184	1	4.2.2	4.2.2	NUM
cana-2206	184	2	bounding	bounding	NOUN
cana-2206	184	3	rectangles	rectangle	NOUN
cana-2206	184	4	once	once	SCONJ
cana-2206	184	5	the	the	DET
cana-2206	184	6	contours	contours	NOUN
cana-2206	184	7	are	be	AUX
cana-2206	184	8	identified	identify	VERB
cana-2206	184	9	,	,	PUNCT
cana-2206	184	10	we	we	PRON
cana-2206	184	11	analyze	analyze	VERB
cana-2206	184	12	each	each	DET
cana-2206	184	13	one	one	NUM
cana-2206	184	14	by	by	ADP
cana-2206	184	15	calculating	calculate	VERB
cana-2206	184	16	the	the	DET
cana-2206	184	17	dimensions	dimension	NOUN
cana-2206	184	18	of	of	ADP
cana-2206	184	19	its	its	PRON
cana-2206	184	20	bounding	bounding	NOUN
cana-2206	184	21	rectangle	rectangle	NOUN
cana-2206	184	22	.	.	PUNCT
cana-2206	185	1	a	a	DET
cana-2206	185	2	bounding	bounding	NOUN
cana-2206	185	3	rectangle	rectangle	NOUN
cana-2206	185	4	is	be	AUX
cana-2206	185	5	the	the	DET
cana-2206	185	6	smallest	small	ADJ
cana-2206	185	7	possible	possible	ADJ
cana-2206	185	8	rectangle	rectangle	NOUN
cana-2206	185	9	that	that	PRON
cana-2206	185	10	can	can	AUX
cana-2206	185	11	completely	completely	ADV
cana-2206	185	12	enclose	enclose	VERB
cana-2206	185	13	a	a	DET
cana-2206	185	14	contour	contour	NOUN
cana-2206	185	15	.	.	PUNCT
cana-2206	186	1	this	this	DET
cana-2206	186	2	step	step	NOUN
cana-2206	186	3	allows	allow	VERB
cana-2206	186	4	us	we	PRON
cana-2206	186	5	to	to	PART
cana-2206	186	6	visualize	visualize	VERB
cana-2206	186	7	and	and	CCONJ
cana-2206	186	8	isolate	isolate	VERB
cana-2206	186	9	each	each	DET
cana-2206	186	10	character	character	NOUN
cana-2206	186	11	by	by	ADP
cana-2206	186	12	drawing	draw	VERB
cana-2206	186	13	bounding	bounding	NOUN
cana-2206	186	14	rectangles	rectangle	NOUN
cana-2206	186	15	around	around	ADP
cana-2206	186	16	them	they	PRON
cana-2206	186	17	.	.	PUNCT
cana-2206	187	1	4.2.3	4.2.3	NUM
cana-2206	187	2	dimension	dimension	NOUN
cana-2206	187	3	filtering	filter	VERB
cana-2206	187	4	with	with	ADP
cana-2206	187	5	the	the	DET
cana-2206	187	6	bounding	bounding	NOUN
cana-2206	187	7	rectangles	rectangle	NOUN
cana-2206	187	8	in	in	ADP
cana-2206	187	9	place	place	NOUN
cana-2206	187	10	,	,	PUNCT
cana-2206	187	11	we	we	PRON
cana-2206	187	12	perform	perform	VERB
cana-2206	187	13	parameter	parameter	NOUN
cana-2206	187	14	tuning	tuning	NOUN
cana-2206	187	15	to	to	PART
cana-2206	187	16	filter	filter	VERB
cana-2206	187	17	out	out	ADP
cana-2206	187	18	the	the	DET
cana-2206	187	19	rectangles	rectangle	NOUN
cana-2206	187	20	that	that	PRON
cana-2206	187	21	contain	contain	VERB
cana-2206	187	22	the	the	DET
cana-2206	187	23	actual	actual	ADJ
cana-2206	187	24	characters	character	NOUN
cana-2206	187	25	.	.	PUNCT
cana-2206	188	1	this	this	PRON
cana-2206	188	2	involves	involve	VERB
cana-2206	188	3	comparing	compare	VERB
cana-2206	188	4	the	the	DET
cana-2206	188	5	dimensions	dimension	NOUN
cana-2206	188	6	of	of	ADP
cana-2206	188	7	each	each	DET
cana-2206	188	8	rectangle	rectangle	NOUN
cana-2206	188	9	against	against	ADP
cana-2206	188	10	predefined	predefined	ADJ
cana-2206	188	11	criteria	criterion	NOUN
cana-2206	188	12	:	:	PUNCT
cana-2206	188	13	communications	communication	NOUN
cana-2206	188	14	on	on	ADP
cana-2206	188	15	applied	apply	VERB
cana-2206	188	16	nonlinear	nonlinear	ADJ
cana-2206	188	17	analysis	analysis	NOUN
cana-2206	188	18	issn	issn	NOUN
cana-2206	188	19	:	:	PUNCT
cana-2206	188	20	1074	1074	NUM
cana-2206	188	21	-	-	PUNCT
cana-2206	188	22	133x	133x	NUM
cana-2206	188	23	vol	vol	NOUN
cana-2206	188	24	32	32	NUM
cana-2206	188	25	no	no	NOUN
cana-2206	188	26	.	.	PUNCT
cana-2206	189	1	1s	1s	NUM
cana-2206	189	2	(	(	PUNCT
cana-2206	189	3	2025	2025	NUM
cana-2206	189	4	)	)	PUNCT
cana-2206	189	5	428	428	NUM
cana-2206	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	189	7	•	•	NUM
cana-2206	189	8	width	width	NOUN
cana-2206	189	9	:	:	PUNCT
cana-2206	189	10	the	the	DET
cana-2206	189	11	width	width	NOUN
cana-2206	189	12	should	should	AUX
cana-2206	189	13	fall	fall	VERB
cana-2206	189	14	within	within	ADP
cana-2206	189	15	a	a	DET
cana-2206	189	16	specific	specific	ADJ
cana-2206	189	17	range	range	NOUN
cana-2206	189	18	,	,	PUNCT
cana-2206	189	19	typically	typically	ADV
cana-2206	189	20	between	between	ADP
cana-2206	189	21	0	0	NUM
cana-2206	189	22	and	and	CCONJ
cana-2206	189	23	the	the	DET
cana-2206	189	24	length	length	NOUN
cana-2206	189	25	of	of	ADP
cana-2206	189	26	the	the	DET
cana-2206	189	27	image	image	NOUN
cana-2206	189	28	divided	divide	VERB
cana-2206	189	29	by	by	ADP
cana-2206	189	30	the	the	DET
cana-2206	189	31	expected	expect	VERB
cana-2206	189	32	number	number	NOUN
cana-2206	189	33	of	of	ADP
cana-2206	189	34	characters	character	NOUN
cana-2206	189	35	.	.	PUNCT
cana-2206	190	1	•	•	NUM
cana-2206	190	2	height	height	NOUN
cana-2206	190	3	:	:	PUNCT
cana-2206	190	4	the	the	DET
cana-2206	190	5	height	height	NOUN
cana-2206	190	6	should	should	AUX
cana-2206	190	7	be	be	AUX
cana-2206	190	8	within	within	ADP
cana-2206	190	9	a	a	DET
cana-2206	190	10	range	range	NOUN
cana-2206	190	11	defined	define	VERB
cana-2206	190	12	by	by	ADP
cana-2206	190	13	the	the	DET
cana-2206	190	14	width	width	NOUN
cana-2206	190	15	of	of	ADP
cana-2206	190	16	the	the	DET
cana-2206	190	17	image	image	NOUN
cana-2206	190	18	,	,	PUNCT
cana-2206	190	19	such	such	ADJ
cana-2206	190	20	as	as	ADP
cana-2206	190	21	between	between	ADP
cana-2206	190	22	half	half	DET
cana-2206	190	23	the	the	DET
cana-2206	190	24	width	width	ADJ
cana-2206	190	25	and	and	CCONJ
cana-2206	190	26	four	four	NUM
cana-2206	190	27	-	-	PUNCT
cana-2206	190	28	fifths	fifth	NOUN
cana-2206	190	29	of	of	ADP
cana-2206	190	30	the	the	DET
cana-2206	190	31	width	width	NOUN
cana-2206	190	32	.	.	PUNCT
cana-2206	191	1	after	after	ADP
cana-2206	191	2	applying	apply	VERB
cana-2206	191	3	these	these	DET
cana-2206	191	4	filters	filter	NOUN
cana-2206	191	5	,	,	PUNCT
cana-2206	191	6	we	we	PRON
cana-2206	191	7	should	should	AUX
cana-2206	191	8	be	be	AUX
cana-2206	191	9	left	leave	VERB
cana-2206	191	10	with	with	ADP
cana-2206	191	11	rectangles	rectangle	NOUN
cana-2206	191	12	that	that	PRON
cana-2206	191	13	precisely	precisely	ADV
cana-2206	191	14	enclose	enclose	VERB
cana-2206	191	15	the	the	DET
cana-2206	191	16	required	require	VERB
cana-2206	191	17	characters	character	NOUN
cana-2206	191	18	,	,	PUNCT
cana-2206	191	19	extracting	extract	VERB
cana-2206	191	20	them	they	PRON
cana-2206	191	21	as	as	ADP
cana-2206	191	22	individual	individual	ADJ
cana-2206	191	23	binary	binary	NOUN
cana-2206	191	24	images	image	NOUN
cana-2206	191	25	.	.	PUNCT
cana-2206	192	1	4.2.4	4.2.4	NUM
cana-2206	192	2	sorting	sort	VERB
cana-2206	192	3	characters	character	NOUN
cana-2206	192	4	the	the	DET
cana-2206	192	5	extracted	extract	VERB
cana-2206	192	6	characters	character	NOUN
cana-2206	192	7	may	may	AUX
cana-2206	192	8	initially	initially	ADV
cana-2206	192	9	appear	appear	VERB
cana-2206	192	10	in	in	ADP
cana-2206	192	11	an	an	DET
cana-2206	192	12	unsorted	unsorted	ADJ
cana-2206	192	13	order	order	NOUN
cana-2206	192	14	.	.	PUNCT
cana-2206	193	1	to	to	PART
cana-2206	193	2	address	address	VERB
cana-2206	193	3	this	this	PRON
cana-2206	193	4	,	,	PUNCT
cana-2206	193	5	the	the	DET
cana-2206	193	6	final	final	ADJ
cana-2206	193	7	step	step	NOUN
cana-2206	193	8	involves	involve	VERB
cana-2206	193	9	sorting	sort	VERB
cana-2206	193	10	the	the	DET
cana-2206	193	11	characters	character	NOUN
cana-2206	193	12	based	base	VERB
cana-2206	193	13	on	on	ADP
cana-2206	193	14	the	the	DET
cana-2206	193	15	position	position	NOUN
cana-2206	193	16	of	of	ADP
cana-2206	193	17	their	their	PRON
cana-2206	193	18	bounding	bounding	NOUN
cana-2206	193	19	rectangles	rectangle	NOUN
cana-2206	193	20	,	,	PUNCT
cana-2206	193	21	specifically	specifically	ADV
cana-2206	193	22	from	from	ADP
cana-2206	193	23	the	the	DET
cana-2206	193	24	leftmost	leftmost	NOUN
cana-2206	193	25	to	to	ADP
cana-2206	193	26	the	the	DET
cana-2206	193	27	rightmost	rightmost	ADJ
cana-2206	193	28	boundary	boundary	NOUN
cana-2206	193	29	of	of	ADP
cana-2206	193	30	the	the	DET
cana-2206	193	31	plate	plate	NOUN
cana-2206	193	32	.	.	PUNCT
cana-2206	194	1	this	this	PRON
cana-2206	194	2	ensures	ensure	VERB
cana-2206	194	3	that	that	SCONJ
cana-2206	194	4	the	the	DET
cana-2206	194	5	characters	character	NOUN
cana-2206	194	6	are	be	AUX
cana-2206	194	7	arranged	arrange	VERB
cana-2206	194	8	in	in	ADP
cana-2206	194	9	the	the	DET
cana-2206	194	10	correct	correct	ADJ
cana-2206	194	11	sequence	sequence	NOUN
cana-2206	194	12	,	,	PUNCT
cana-2206	194	13	matching	match	VERB
cana-2206	194	14	the	the	DET
cana-2206	194	15	actual	actual	ADJ
cana-2206	194	16	license	license	NOUN
cana-2206	194	17	plate	plate	NOUN
cana-2206	194	18	number	number	NOUN
cana-2206	194	19	.	.	PUNCT
cana-2206	195	1	by	by	ADP
cana-2206	195	2	following	follow	VERB
cana-2206	195	3	these	these	DET
cana-2206	195	4	steps	step	NOUN
cana-2206	195	5	,	,	PUNCT
cana-2206	195	6	we	we	PRON
cana-2206	195	7	effectively	effectively	ADV
cana-2206	195	8	isolate	isolate	VERB
cana-2206	195	9	and	and	CCONJ
cana-2206	195	10	sort	sort	VERB
cana-2206	195	11	each	each	DET
cana-2206	195	12	character	character	NOUN
cana-2206	195	13	from	from	ADP
cana-2206	195	14	the	the	DET
cana-2206	195	15	license	license	NOUN
cana-2206	195	16	plate	plate	NOUN
cana-2206	195	17	,	,	PUNCT
cana-2206	195	18	preparing	prepare	VERB
cana-2206	195	19	them	they	PRON
cana-2206	195	20	for	for	ADP
cana-2206	195	21	the	the	DET
cana-2206	195	22	subsequent	subsequent	ADJ
cana-2206	195	23	recognition	recognition	NOUN
cana-2206	195	24	process	process	NOUN
cana-2206	195	25	.	.	PUNCT
cana-2206	196	1	4.3	4.3	NUM
cana-2206	196	2	creating	create	VERB
cana-2206	196	3	ml	ml	NOUN
cana-2206	196	4	model	model	NOUN
cana-2206	196	5	with	with	ADP
cana-2206	196	6	the	the	DET
cana-2206	196	7	data	datum	NOUN
cana-2206	196	8	cleaned	clean	VERB
cana-2206	196	9	and	and	CCONJ
cana-2206	196	10	ready	ready	ADJ
cana-2206	196	11	,	,	PUNCT
cana-2206	196	12	we	we	PRON
cana-2206	196	13	proceed	proceed	VERB
cana-2206	196	14	to	to	PART
cana-2206	196	15	develop	develop	VERB
cana-2206	196	16	a	a	DET
cana-2206	196	17	neural	neural	ADJ
cana-2206	196	18	network	network	NOUN
cana-2206	196	19	designed	design	VERB
cana-2206	196	20	for	for	ADP
cana-2206	196	21	character	character	NOUN
cana-2206	196	22	recognition	recognition	NOUN
cana-2206	196	23	.	.	PUNCT
cana-2206	197	1	the	the	DET
cana-2206	197	2	model	model	NOUN
cana-2206	197	3	is	be	AUX
cana-2206	197	4	defined	define	VERB
cana-2206	197	5	as	as	SCONJ
cana-2206	197	6	follows	follow	VERB
cana-2206	197	7	:	:	PUNCT
cana-2206	197	8	algorithm	algorithm	PROPN
cana-2206	197	9	&	&	CCONJ
cana-2206	197	10	&	&	CCONJ
cana-2206	197	11	pseudocode	pseudocode	PROPN
cana-2206	197	12	#	#	PROPN
cana-2206	197	13	image	image	NOUN
cana-2206	197	14	acquisition	acquisition	NOUN
cana-2206	197	15	capture	capture	NOUN
cana-2206	197	16	image	image	NOUN
cana-2206	197	17	from	from	ADP
cana-2206	197	18	camera	camera	NOUN
cana-2206	197	19	#	#	NOUN
cana-2206	197	20	pre	pre	ADJ
cana-2206	197	21	-	-	ADJ
cana-2206	197	22	processing	processing	ADJ
cana-2206	197	23	convert	convert	NOUN
cana-2206	197	24	image	image	NOUN
cana-2206	197	25	to	to	ADP
cana-2206	197	26	grayscale	grayscale	NOUN
cana-2206	197	27	apply	apply	VERB
cana-2206	197	28	gaussian	gaussian	ADJ
cana-2206	197	29	blur	blur	NOUN
cana-2206	197	30	to	to	PART
cana-2206	197	31	reduce	reduce	VERB
cana-2206	197	32	noise	noise	NOUN
cana-2206	197	33	apply	apply	VERB
cana-2206	197	34	adaptive	adaptive	ADJ
cana-2206	197	35	thresholding	thresholding	NOUN
cana-2206	197	36	for	for	ADP
cana-2206	197	37	contrast	contrast	NOUN
cana-2206	197	38	enhancement	enhancement	NOUN
cana-2206	197	39	perform	perform	VERB
cana-2206	197	40	morphological	morphological	ADJ
cana-2206	197	41	operations	operation	NOUN
cana-2206	197	42	(	(	PUNCT
cana-2206	197	43	erosion	erosion	NOUN
cana-2206	197	44	,	,	PUNCT
cana-2206	197	45	dilation	dilation	NOUN
cana-2206	197	46	)	)	PUNCT
cana-2206	197	47	to	to	PART
cana-2206	197	48	enhance	enhance	VERB
cana-2206	197	49	contours	contours	NOUN
cana-2206	197	50	#	#	NOUN
cana-2206	197	51	license	license	NOUN
cana-2206	197	52	plate	plate	NOUN
cana-2206	197	53	detection	detection	NOUN
cana-2206	197	54	detect	detect	VERB
cana-2206	197	55	license	license	NOUN
cana-2206	197	56	plate	plate	NOUN
cana-2206	197	57	region	region	NOUN
cana-2206	197	58	using	use	VERB
cana-2206	197	59	haar	haar	NOUN
cana-2206	197	60	cascade	cascade	NOUN
cana-2206	197	61	classifier	classifier	NOUN
cana-2206	197	62	if	if	SCONJ
cana-2206	197	63	plate	plate	NOUN
cana-2206	197	64	detected	detect	VERB
cana-2206	197	65	:	:	PUNCT
cana-2206	197	66	extract	extract	VERB
cana-2206	197	67	region	region	NOUN
cana-2206	197	68	of	of	ADP
cana-2206	197	69	interest	interest	NOUN
cana-2206	197	70	(	(	PUNCT
cana-2206	197	71	roi	roi	NOUN
cana-2206	197	72	)	)	PUNCT
cana-2206	197	73	#	#	NOUN
cana-2206	197	74	character	character	NOUN
cana-2206	197	75	segmentation	segmentation	NOUN
cana-2206	197	76	convert	convert	VERB
cana-2206	197	77	detected	detect	VERB
cana-2206	197	78	license	license	NOUN
cana-2206	197	79	plate	plate	NOUN
cana-2206	197	80	region	region	NOUN
cana-2206	197	81	to	to	ADP
cana-2206	197	82	binary	binary	ADJ
cana-2206	197	83	detect	detect	PROPN
cana-2206	197	84	contours	contours	NOUN
cana-2206	197	85	in	in	ADP
cana-2206	197	86	binary	binary	ADJ
cana-2206	197	87	image	image	NOUN
cana-2206	197	88	for	for	ADP
cana-2206	197	89	each	each	DET
cana-2206	197	90	contour	contour	NOUN
cana-2206	197	91	:	:	PUNCT
cana-2206	197	92	if	if	SCONJ
cana-2206	197	93	contour	contour	NOUN
cana-2206	197	94	meets	meet	VERB
cana-2206	197	95	size	size	NOUN
cana-2206	197	96	and	and	CCONJ
cana-2206	197	97	shape	shape	NOUN
cana-2206	197	98	criteria	criterion	NOUN
cana-2206	197	99	:	:	PUNCT
cana-2206	197	100	isolate	isolate	VERB
cana-2206	197	101	and	and	CCONJ
cana-2206	197	102	segment	segment	VERB
cana-2206	197	103	the	the	DET
cana-2206	197	104	character	character	NOUN
cana-2206	197	105	#	#	NOUN
cana-2206	197	106	character	character	NOUN
cana-2206	197	107	recognition	recognition	NOUN
cana-2206	197	108	for	for	ADP
cana-2206	197	109	each	each	DET
cana-2206	197	110	segmented	segment	VERB
cana-2206	197	111	character	character	NOUN
cana-2206	197	112	:	:	PUNCT
cana-2206	197	113	communications	communication	NOUN
cana-2206	197	114	on	on	ADP
cana-2206	197	115	applied	apply	VERB
cana-2206	197	116	nonlinear	nonlinear	ADJ
cana-2206	197	117	analysis	analysis	NOUN
cana-2206	197	118	issn	issn	NOUN
cana-2206	197	119	:	:	PUNCT
cana-2206	197	120	1074	1074	NUM
cana-2206	197	121	-	-	PUNCT
cana-2206	197	122	133x	133x	NUM
cana-2206	197	123	vol	vol	NOUN
cana-2206	197	124	32	32	NUM
cana-2206	198	1	no	no	NOUN
cana-2206	198	2	.	.	PUNCT
cana-2206	199	1	1s	1s	NUM
cana-2206	199	2	(	(	PUNCT
cana-2206	199	3	2025	2025	NUM
cana-2206	199	4	)	)	PUNCT
cana-2206	199	5	429	429	NUM
cana-2206	199	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	199	7	preprocess	preprocess	NOUN
cana-2206	199	8	character	character	NOUN
cana-2206	199	9	(	(	PUNCT
cana-2206	199	10	resize	resize	VERB
cana-2206	199	11	,	,	PUNCT
cana-2206	199	12	normalize	normalize	VERB
cana-2206	199	13	,	,	PUNCT
cana-2206	199	14	deskew	deskew	NOUN
cana-2206	199	15	)	)	PUNCT
cana-2206	199	16	recognize	recognize	VERB
cana-2206	199	17	character	character	NOUN
cana-2206	199	18	using	use	VERB
cana-2206	199	19	trained	train	VERB
cana-2206	199	20	cnn	cnn	PROPN
cana-2206	199	21	model	model	NOUN
cana-2206	199	22	convert	convert	PROPN
cana-2206	199	23	recognized	recognize	VERB
cana-2206	199	24	characters	character	NOUN
cana-2206	199	25	to	to	PART
cana-2206	199	26	text	text	VERB
cana-2206	199	27	#	#	NOUN
cana-2206	199	28	color	color	NOUN
cana-2206	199	29	detection	detection	NOUN
cana-2206	199	30	convert	convert	VERB
cana-2206	199	31	roi	roi	NOUN
cana-2206	199	32	to	to	ADP
cana-2206	199	33	hsv	hsv	PROPN
cana-2206	199	34	color	color	NOUN
cana-2206	199	35	space	space	NOUN
cana-2206	199	36	detect	detect	NOUN
cana-2206	199	37	plate	plate	NOUN
cana-2206	199	38	color	color	NOUN
cana-2206	199	39	using	use	VERB
cana-2206	199	40	color	color	NOUN
cana-2206	199	41	segmentation	segmentation	NOUN
cana-2206	199	42	techniques	technique	NOUN
cana-2206	199	43	#	#	NOUN
cana-2206	199	44	post	post	ADJ
cana-2206	199	45	-	-	ADJ
cana-2206	199	46	processing	processing	ADJ
cana-2206	199	47	and	and	CCONJ
cana-2206	199	48	validation	validation	NOUN
cana-2206	199	49	validate	validate	NOUN
cana-2206	199	50	recognized	recognize	VERB
cana-2206	199	51	characters	character	NOUN
cana-2206	199	52	against	against	ADP
cana-2206	199	53	database	database	NOUN
cana-2206	199	54	or	or	CCONJ
cana-2206	199	55	predefined	predefine	VERB
cana-2206	199	56	patterns	pattern	NOUN
cana-2206	199	57	apply	apply	VERB
cana-2206	199	58	error	error	NOUN
cana-2206	199	59	correction	correction	NOUN
cana-2206	199	60	algorithms	algorithm	VERB
cana-2206	199	61	#	#	NOUN
cana-2206	199	62	output	output	NOUN
cana-2206	199	63	display	display	NOUN
cana-2206	199	64	recognized	recognize	VERB
cana-2206	199	65	license	license	NOUN
cana-2206	199	66	plate	plate	NOUN
cana-2206	199	67	characters	character	NOUN
cana-2206	199	68	and	and	CCONJ
cana-2206	199	69	color	color	NOUN
cana-2206	199	70	store	store	NOUN
cana-2206	199	71	results	result	NOUN
cana-2206	199	72	in	in	ADP
cana-2206	199	73	database	database	NOUN
cana-2206	199	74	#	#	NOUN
cana-2206	199	75	performance	performance	NOUN
cana-2206	199	76	evaluation	evaluation	NOUN
cana-2206	199	77	calculate	calculate	NOUN
cana-2206	199	78	accuracy	accuracy	NOUN
cana-2206	199	79	,	,	PUNCT
cana-2206	199	80	precision	precision	NOUN
cana-2206	199	81	,	,	PUNCT
cana-2206	199	82	recall	recall	NOUN
cana-2206	199	83	,	,	PUNCT
cana-2206	199	84	f1	f1	NOUN
cana-2206	199	85	-	-	PUNCT
cana-2206	199	86	score	score	NOUN
cana-2206	199	87	#	#	NOUN
cana-2206	199	88	continuous	continuous	ADJ
cana-2206	199	89	improvement	improvement	NOUN
cana-2206	199	90	retrain	retrain	PROPN
cana-2206	199	91	cnn	cnn	PROPN
cana-2206	199	92	model	model	NOUN
cana-2206	199	93	with	with	ADP
cana-2206	199	94	additional	additional	ADJ
cana-2206	199	95	data	datum	NOUN
cana-2206	199	96	if	if	SCONJ
cana-2206	199	97	needed	need	VERB
cana-2206	199	98	figure	figure	NOUN
cana-2206	199	99	7	7	NUM
cana-2206	199	100	.	.	PUNCT
cana-2206	199	101	model	model	NOUN
cana-2206	199	102	summary	summary	NOUN
cana-2206	199	103	for	for	ADP
cana-2206	199	104	simplicity	simplicity	NOUN
cana-2206	199	105	's	's	PART
cana-2206	199	106	sake	sake	NOUN
cana-2206	199	107	,	,	PUNCT
cana-2206	199	108	a	a	DET
cana-2206	199	109	sequential	sequential	ADJ
cana-2206	199	110	model	model	NOUN
cana-2206	199	111	is	be	AUX
cana-2206	199	112	utilized	utilize	VERB
cana-2206	199	113	first	first	ADV
cana-2206	199	114	.	.	PUNCT
cana-2206	200	1	first	first	ADV
cana-2206	200	2	,	,	PUNCT
cana-2206	200	3	there	there	PRON
cana-2206	200	4	is	be	VERB
cana-2206	200	5	a	a	DET
cana-2206	200	6	convolutional	convolutional	ADJ
cana-2206	200	7	layer	layer	NOUN
cana-2206	200	8	with	with	ADP
cana-2206	200	9	a	a	DET
cana-2206	200	10	kernel	kernel	NOUN
cana-2206	200	11	of	of	ADP
cana-2206	200	12	size	size	NOUN
cana-2206	200	13	5	5	NUM
cana-2206	200	14	,	,	PUNCT
cana-2206	200	15	5	5	NUM
cana-2206	200	16	filters	filter	NOUN
cana-2206	200	17	,	,	PUNCT
cana-2206	200	18	and	and	CCONJ
cana-2206	200	19	'	'	PUNCT
cana-2206	200	20	relu	relu	NOUN
cana-2206	200	21	'	'	PUNCT
cana-2206	200	22	activation	activation	NOUN
cana-2206	200	23	.	.	PUNCT
cana-2206	201	1	a	a	DET
cana-2206	201	2	dropout	dropout	NOUN
cana-2206	201	3	layer	layer	NOUN
cana-2206	201	4	with	with	ADP
cana-2206	201	5	a	a	DET
cana-2206	201	6	rate	rate	NOUN
cana-2206	201	7	of	of	ADP
cana-2206	201	8	0.4	0.4	NUM
cana-2206	201	9	is	be	AUX
cana-2206	201	10	added	add	VERB
cana-2206	201	11	to	to	PART
cana-2206	201	12	reduce	reduce	VERB
cana-2206	201	13	overfitting	overfitting	NOUN
cana-2206	201	14	by	by	ADP
cana-2206	201	15	randomly	randomly	ADV
cana-2206	201	16	eliminating	eliminate	VERB
cana-2206	201	17	40	40	NUM
cana-2206	201	18	%	%	NOUN
cana-2206	201	19	of	of	ADP
cana-2206	201	20	the	the	DET
cana-2206	201	21	neurons	neuron	NOUN
cana-2206	201	22	during	during	ADP
cana-2206	201	23	training	training	NOUN
cana-2206	201	24	.	.	PUNCT
cana-2206	202	1	after	after	ADP
cana-2206	202	2	that	that	PRON
cana-2206	202	3	,	,	PUNCT
cana-2206	202	4	the	the	DET
cana-2206	202	5	data	data	NOUN
cana-2206	202	6	is	be	AUX
cana-2206	202	7	flattened	flatten	VERB
cana-2206	202	8	and	and	CCONJ
cana-2206	202	9	fed	feed	VERB
cana-2206	202	10	through	through	ADP
cana-2206	202	11	two	two	NUM
cana-2206	202	12	dense	dense	ADJ
cana-2206	202	13	layers	layer	NOUN
cana-2206	202	14	to	to	PART
cana-2206	202	15	categorise	categorise	VERB
cana-2206	202	16	26	26	NUM
cana-2206	202	17	letters	letter	NOUN
cana-2206	202	18	and	and	CCONJ
cana-2206	202	19	10	10	NUM
cana-2206	202	20	digits	digit	NOUN
cana-2206	202	21	:	:	PUNCT
cana-2206	202	22	the	the	DET
cana-2206	202	23	first	first	ADJ
cana-2206	202	24	layer	layer	NOUN
cana-2206	202	25	uses	use	VERB
cana-2206	202	26	128	128	NUM
cana-2206	202	27	units	unit	NOUN
cana-2206	202	28	and	and	CCONJ
cana-2206	202	29	'	'	PUNCT
cana-2206	202	30	relu	relu	NOUN
cana-2206	202	31	'	'	PUNCT
cana-2206	202	32	activation	activation	NOUN
cana-2206	202	33	,	,	PUNCT
cana-2206	202	34	while	while	SCONJ
cana-2206	202	35	the	the	DET
cana-2206	202	36	second	second	ADJ
cana-2206	202	37	layer	layer	NOUN
cana-2206	202	38	uses	use	VERB
cana-2206	202	39	36	36	NUM
cana-2206	202	40	units	unit	NOUN
cana-2206	202	41	and	and	CCONJ
cana-2206	202	42	'	'	PUNCT
cana-2206	202	43	softmax	softmax	NOUN
cana-2206	202	44	'	'	PUNCT
cana-2206	202	45	activation	activation	NOUN
cana-2206	202	46	.	.	PUNCT
cana-2206	203	1	the	the	DET
cana-2206	203	2	training	training	NOUN
cana-2206	203	3	process	process	NOUN
cana-2206	203	4	begins	begin	VERB
cana-2206	203	5	with	with	ADP
cana-2206	203	6	a	a	DET
cana-2206	203	7	balanced	balanced	ADJ
cana-2206	203	8	dataset	dataset	NOUN
cana-2206	203	9	consisting	consist	VERB
cana-2206	203	10	of	of	ADP
cana-2206	203	11	28x28	28x28	NUM
cana-2206	203	12	images	image	NOUN
cana-2206	203	13	of	of	ADP
cana-2206	203	14	alphabets	alphabet	NOUN
cana-2206	203	15	and	and	CCONJ
cana-2206	203	16	digits	digit	NOUN
cana-2206	203	17	.	.	PUNCT
cana-2206	204	1	to	to	PART
cana-2206	204	2	enhance	enhance	VERB
cana-2206	204	3	the	the	DET
cana-2206	204	4	robustness	robustness	NOUN
cana-2206	204	5	of	of	ADP
cana-2206	204	6	our	our	PRON
cana-2206	204	7	model	model	NOUN
cana-2206	204	8	,	,	PUNCT
cana-2206	204	9	we	we	PRON
cana-2206	204	10	use	use	VERB
cana-2206	204	11	image	image	NOUN
cana-2206	204	12	augmentation	augmentation	NOUN
cana-2206	204	13	techniques	technique	NOUN
cana-2206	204	14	to	to	PART
cana-2206	204	15	generate	generate	VERB
cana-2206	204	16	additional	additional	ADJ
cana-2206	204	17	training	training	NOUN
cana-2206	204	18	data	datum	NOUN
cana-2206	204	19	.	.	PUNCT
cana-2206	205	1	this	this	PRON
cana-2206	205	2	involves	involves	AUX
cana-2206	205	3	slightly	slightly	ADV
cana-2206	205	4	shifting	shift	VERB
cana-2206	205	5	images	image	NOUN
cana-2206	205	6	both	both	CCONJ
cana-2206	205	7	horizontally	horizontally	ADV
cana-2206	205	8	and	and	CCONJ
cana-2206	205	9	vertically	vertically	ADV
cana-2206	205	10	,	,	PUNCT
cana-2206	205	11	which	which	PRON
cana-2206	205	12	helps	help	VERB
cana-2206	205	13	the	the	DET
cana-2206	205	14	model	model	NOUN
cana-2206	205	15	generalize	generalize	VERB
cana-2206	205	16	better	well	ADV
cana-2206	205	17	by	by	ADP
cana-2206	205	18	exposing	expose	VERB
cana-2206	205	19	it	it	PRON
cana-2206	205	20	to	to	ADP
cana-2206	205	21	a	a	DET
cana-2206	205	22	variety	variety	NOUN
cana-2206	205	23	of	of	ADP
cana-2206	205	24	image	image	NOUN
cana-2206	205	25	variations	variation	NOUN
cana-2206	205	26	.	.	PUNCT
cana-2206	206	1	the	the	DET
cana-2206	206	2	training	training	NOUN
cana-2206	206	3	data	datum	NOUN
cana-2206	206	4	is	be	AUX
cana-2206	206	5	processed	process	VERB
cana-2206	206	6	through	through	ADP
cana-2206	206	7	an	an	DET
cana-2206	206	8	augmentation	augmentation	NOUN
cana-2206	206	9	pipeline	pipeline	NOUN
cana-2206	206	10	that	that	PRON
cana-2206	206	11	rescales	rescale	VERB
cana-2206	206	12	pixel	pixel	ADJ
cana-2206	206	13	values	value	NOUN
cana-2206	206	14	and	and	CCONJ
cana-2206	206	15	applies	apply	VERB
cana-2206	206	16	the	the	DET
cana-2206	206	17	specified	specified	ADJ
cana-2206	206	18	communications	communication	NOUN
cana-2206	206	19	on	on	ADP
cana-2206	206	20	applied	apply	VERB
cana-2206	206	21	nonlinear	nonlinear	ADJ
cana-2206	206	22	analysis	analysis	NOUN
cana-2206	206	23	issn	issn	NOUN
cana-2206	206	24	:	:	PUNCT
cana-2206	206	25	1074	1074	NUM
cana-2206	206	26	-	-	PUNCT
cana-2206	206	27	133x	133x	NUM
cana-2206	206	28	vol	vol	NOUN
cana-2206	206	29	32	32	NUM
cana-2206	206	30	no	no	NOUN
cana-2206	206	31	.	.	PUNCT
cana-2206	207	1	1s	1s	NUM
cana-2206	207	2	(	(	PUNCT
cana-2206	207	3	2025	2025	NUM
cana-2206	207	4	)	)	PUNCT
cana-2206	207	5	430	430	NUM
cana-2206	207	6	https://internationalpubls.com	https://internationalpubls.com	NOUN
cana-2206	207	7	shifts	shift	NOUN
cana-2206	207	8	.	.	PUNCT
cana-2206	208	1	this	this	DET
cana-2206	208	2	augmented	augment	VERB
cana-2206	208	3	data	data	NOUN
cana-2206	208	4	is	be	AUX
cana-2206	208	5	then	then	ADV
cana-2206	208	6	used	use	VERB
cana-2206	208	7	to	to	PART
cana-2206	208	8	train	train	VERB
cana-2206	208	9	the	the	DET
cana-2206	208	10	model	model	NOUN
cana-2206	208	11	.	.	PUNCT
cana-2206	209	1	during	during	ADP
cana-2206	209	2	training	training	NOUN
cana-2206	209	3	,	,	PUNCT
cana-2206	209	4	the	the	DET
cana-2206	209	5	model	model	NOUN
cana-2206	209	6	is	be	AUX
cana-2206	209	7	optimized	optimize	VERB
cana-2206	209	8	to	to	PART
cana-2206	209	9	minimize	minimize	VERB
cana-2206	209	10	the	the	DET
cana-2206	209	11	difference	difference	NOUN
cana-2206	209	12	between	between	ADP
cana-2206	209	13	predicted	predict	VERB
cana-2206	209	14	and	and	CCONJ
cana-2206	209	15	actual	actual	ADJ
cana-2206	209	16	labels	label	NOUN
cana-2206	209	17	by	by	ADP
cana-2206	209	18	adjusting	adjust	VERB
cana-2206	209	19	its	its	PRON
cana-2206	209	20	internal	internal	ADJ
cana-2206	209	21	parameters	parameter	NOUN
cana-2206	209	22	.	.	PUNCT
cana-2206	210	1	this	this	PRON
cana-2206	210	2	is	be	AUX
cana-2206	210	3	achieved	achieve	VERB
cana-2206	210	4	using	use	VERB
cana-2206	210	5	a	a	DET
cana-2206	210	6	specific	specific	ADJ
cana-2206	210	7	loss	loss	NOUN
cana-2206	210	8	function	function	NOUN
cana-2206	210	9	and	and	CCONJ
cana-2206	210	10	optimization	optimization	NOUN
cana-2206	210	11	algorithm	algorithm	NOUN
cana-2206	210	12	,	,	PUNCT
cana-2206	210	13	which	which	PRON
cana-2206	210	14	guide	guide	VERB
cana-2206	210	15	the	the	DET
cana-2206	210	16	model	model	NOUN
cana-2206	210	17	in	in	ADP
cana-2206	210	18	learning	learn	VERB
cana-2206	210	19	from	from	ADP
cana-2206	210	20	the	the	DET
cana-2206	210	21	training	training	NOUN
cana-2206	210	22	data	datum	NOUN
cana-2206	210	23	.	.	PUNCT
cana-2206	211	1	the	the	DET
cana-2206	211	2	performance	performance	NOUN
cana-2206	211	3	of	of	ADP
cana-2206	211	4	the	the	DET
cana-2206	211	5	model	model	NOUN
cana-2206	211	6	is	be	AUX
cana-2206	211	7	monitored	monitor	VERB
cana-2206	211	8	using	use	VERB
cana-2206	211	9	accuracy	accuracy	NOUN
cana-2206	211	10	metrics	metric	NOUN
cana-2206	211	11	.	.	PUNCT
cana-2206	212	1	to	to	PART
cana-2206	212	2	manage	manage	VERB
cana-2206	212	3	the	the	DET
cana-2206	212	4	training	training	NOUN
cana-2206	212	5	process	process	NOUN
cana-2206	212	6	effectively	effectively	ADV
cana-2206	212	7	,	,	PUNCT
cana-2206	212	8	logging	log	VERB
cana-2206	212	9	is	be	AUX
cana-2206	212	10	enabled	enable	VERB
cana-2206	212	11	to	to	PART
cana-2206	212	12	visualize	visualize	VERB
cana-2206	212	13	the	the	DET
cana-2206	212	14	training	training	NOUN
cana-2206	212	15	progress	progress	NOUN
cana-2206	212	16	and	and	CCONJ
cana-2206	212	17	monitor	monitor	VERB
cana-2206	212	18	key	key	ADJ
cana-2206	212	19	metrics	metric	NOUN
cana-2206	212	20	.	.	PUNCT
cana-2206	213	1	additionally	additionally	ADV
cana-2206	213	2	,	,	PUNCT
cana-2206	213	3	a	a	DET
cana-2206	213	4	callback	callback	NOUN
cana-2206	213	5	is	be	AUX
cana-2206	213	6	used	use	VERB
cana-2206	213	7	to	to	PART
cana-2206	213	8	halt	halt	VERB
cana-2206	213	9	training	training	NOUN
cana-2206	213	10	early	early	ADV
cana-2206	213	11	if	if	SCONJ
cana-2206	213	12	the	the	DET
cana-2206	213	13	model	model	NOUN
cana-2206	213	14	achieves	achieve	VERB
cana-2206	213	15	a	a	DET
cana-2206	213	16	high	high	ADJ
cana-2206	213	17	accuracy	accuracy	NOUN
cana-2206	213	18	on	on	ADP
cana-2206	213	19	the	the	DET
cana-2206	213	20	validation	validation	NOUN
cana-2206	213	21	data	datum	NOUN
cana-2206	213	22	,	,	PUNCT
cana-2206	213	23	ensuring	ensure	VERB
cana-2206	213	24	efficient	efficient	ADJ
cana-2206	213	25	use	use	NOUN
cana-2206	213	26	of	of	ADP
cana-2206	213	27	computational	computational	ADJ
cana-2206	213	28	resources	resource	NOUN
cana-2206	213	29	.	.	PUNCT
cana-2206	214	1	overall	overall	ADV
cana-2206	214	2	,	,	PUNCT
cana-2206	214	3	the	the	DET
cana-2206	214	4	training	training	NOUN
cana-2206	214	5	process	process	NOUN
cana-2206	214	6	involves	involve	VERB
cana-2206	214	7	feeding	feed	VERB
cana-2206	214	8	the	the	DET
cana-2206	214	9	model	model	NOUN
cana-2206	214	10	with	with	ADP
cana-2206	214	11	augmented	augment	VERB
cana-2206	214	12	data	datum	NOUN
cana-2206	214	13	,	,	PUNCT
cana-2206	214	14	optimizing	optimize	VERB
cana-2206	214	15	its	its	PRON
cana-2206	214	16	parameters	parameter	NOUN
cana-2206	214	17	,	,	PUNCT
cana-2206	214	18	and	and	CCONJ
cana-2206	214	19	monitoring	monitor	VERB
cana-2206	214	20	its	its	PRON
cana-2206	214	21	performance	performance	NOUN
cana-2206	214	22	to	to	PART
cana-2206	214	23	ensure	ensure	VERB
cana-2206	214	24	it	it	PRON
cana-2206	214	25	learns	learn	VERB
cana-2206	214	26	effectively	effectively	ADV
cana-2206	214	27	and	and	CCONJ
cana-2206	214	28	generalizes	generalize	VERB
cana-2206	214	29	well	well	ADV
cana-2206	214	30	to	to	ADP
cana-2206	214	31	new	new	ADJ
cana-2206	214	32	data	datum	NOUN
cana-2206	214	33	.	.	PUNCT
cana-2206	215	1	henceforth	henceforth	ADV
cana-2206	215	2	,	,	PUNCT
cana-2206	215	3	after	after	ADP
cana-2206	215	4	training	train	VERB
cana-2206	215	5	the	the	DET
cana-2206	215	6	model	model	NOUN
cana-2206	215	7	for	for	ADP
cana-2206	215	8	23	23	NUM
cana-2206	215	9	epochs	epoch	NOUN
cana-2206	215	10	,	,	PUNCT
cana-2206	215	11	it	it	PRON
cana-2206	215	12	achieved	achieve	VERB
cana-2206	215	13	an	an	DET
cana-2206	215	14	impressive	impressive	ADJ
cana-2206	215	15	accuracy	accuracy	NOUN
cana-2206	215	16	of	of	ADP
cana-2206	215	17	99.54	99.54	NUM
cana-2206	215	18	%	%	NOUN
cana-2206	215	19	.	.	PUNCT
cana-2206	216	1	this	this	DET
cana-2206	216	2	high	high	ADJ
cana-2206	216	3	level	level	NOUN
cana-2206	216	4	of	of	ADP
cana-2206	216	5	accuracy	accuracy	NOUN
cana-2206	216	6	indicates	indicate	VERB
cana-2206	216	7	that	that	SCONJ
cana-2206	216	8	the	the	DET
cana-2206	216	9	model	model	NOUN
cana-2206	216	10	effectively	effectively	ADV
cana-2206	216	11	learned	learn	VERB
cana-2206	216	12	to	to	PART
cana-2206	216	13	recognize	recognize	VERB
cana-2206	216	14	the	the	DET
cana-2206	216	15	characters	character	NOUN
cana-2206	216	16	with	with	ADP
cana-2206	216	17	minimal	minimal	ADJ
cana-2206	216	18	error	error	NOUN
cana-2206	216	19	.	.	PUNCT
cana-2206	217	1	the	the	DET
cana-2206	217	2	results	result	NOUN
cana-2206	217	3	validate	validate	VERB
cana-2206	217	4	the	the	DET
cana-2206	217	5	effectiveness	effectiveness	NOUN
cana-2206	217	6	of	of	ADP
cana-2206	217	7	the	the	DET
cana-2206	217	8	chosen	choose	VERB
cana-2206	217	9	architecture	architecture	NOUN
cana-2206	217	10	and	and	CCONJ
cana-2206	217	11	data	datum	NOUN
cana-2206	217	12	augmentation	augmentation	NOUN
cana-2206	217	13	techniques	technique	NOUN
cana-2206	217	14	.	.	PUNCT
cana-2206	218	1	based	base	VERB
cana-2206	218	2	on	on	ADP
cana-2206	218	3	these	these	DET
cana-2206	218	4	results	result	NOUN
cana-2206	218	5	,	,	PUNCT
cana-2206	218	6	the	the	DET
cana-2206	218	7	model	model	NOUN
cana-2206	218	8	demonstrates	demonstrate	VERB
cana-2206	218	9	strong	strong	ADJ
cana-2206	218	10	generalization	generalization	NOUN
cana-2206	218	11	capabilities	capability	NOUN
cana-2206	218	12	and	and	CCONJ
cana-2206	218	13	reliability	reliability	NOUN
cana-2206	218	14	for	for	ADP
cana-2206	218	15	character	character	NOUN
cana-2206	218	16	recognition	recognition	NOUN
cana-2206	218	17	tasks	task	NOUN
cana-2206	218	18	.	.	PUNCT
cana-2206	219	1	consequently	consequently	ADV
cana-2206	219	2	,	,	PUNCT
cana-2206	219	3	we	we	PRON
cana-2206	219	4	can	can	AUX
cana-2206	219	5	confidently	confidently	ADV
cana-2206	219	6	proceed	proceed	VERB
cana-2206	219	7	with	with	ADP
cana-2206	219	8	deploying	deploy	VERB
cana-2206	219	9	this	this	DET
cana-2206	219	10	model	model	NOUN
cana-2206	219	11	in	in	ADP
cana-2206	219	12	practical	practical	ADJ
cana-2206	219	13	applications	application	NOUN
cana-2206	219	14	or	or	CCONJ
cana-2206	219	15	further	further	ADJ
cana-2206	219	16	evaluations	evaluation	NOUN
cana-2206	219	17	.	.	PUNCT
cana-2206	220	1	figure	figure	NOUN
cana-2206	220	2	8	8	NUM
cana-2206	220	3	.	.	PUNCT
cana-2206	221	1	predicted	predict	VERB
cana-2206	221	2	vs	vs	ADP
cana-2206	221	3	actual	actual	ADJ
cana-2206	221	4	character	character	NOUN
cana-2206	221	5	from	from	ADP
cana-2206	221	6	no	no	DET
cana-2206	221	7	plate	plate	NOUN
cana-2206	221	8	5	5	NUM
cana-2206	221	9	.	.	PUNCT
cana-2206	221	10	conclusion	conclusion	NOUN
cana-2206	221	11	and	and	CCONJ
cana-2206	221	12	future	future	ADJ
cana-2206	221	13	work	work	NOUN
cana-2206	221	14	in	in	ADP
cana-2206	221	15	this	this	DET
cana-2206	221	16	study	study	NOUN
cana-2206	221	17	,	,	PUNCT
cana-2206	221	18	we	we	PRON
cana-2206	221	19	implment	implment	VERB
cana-2206	221	20	a	a	DET
cana-2206	221	21	high	high	ADJ
cana-2206	221	22	-	-	PUNCT
cana-2206	221	23	accuracy	accuracy	NOUN
cana-2206	221	24	number	number	NOUN
cana-2206	221	25	plate	plate	NOUN
cana-2206	221	26	recognition	recognition	NOUN
cana-2206	221	27	system	system	NOUN
cana-2206	221	28	with	with	ADP
cana-2206	221	29	over	over	ADP
cana-2206	221	30	99.5	99.5	NUM
cana-2206	221	31	%	%	NOUN
cana-2206	221	32	accuracy	accuracy	NOUN
cana-2206	221	33	.	.	PUNCT
cana-2206	222	1	using	use	VERB
cana-2206	222	2	python	python	NOUN
cana-2206	222	3	and	and	CCONJ
cana-2206	222	4	opencv	opencv	PROPN
cana-2206	222	5	,	,	PUNCT
cana-2206	222	6	we	we	PRON
cana-2206	222	7	implemented	implement	VERB
cana-2206	222	8	a	a	DET
cana-2206	222	9	pre	pre	ADJ
cana-2206	222	10	-	-	ADJ
cana-2206	222	11	trained	train	VERB
cana-2206	222	12	haar	haar	NOUN
cana-2206	222	13	cascade	cascade	NOUN
cana-2206	222	14	for	for	ADP
cana-2206	222	15	plate	plate	NOUN
cana-2206	222	16	detection	detection	NOUN
cana-2206	222	17	and	and	CCONJ
cana-2206	222	18	enhanced	enhance	VERB
cana-2206	222	19	image	image	NOUN
cana-2206	222	20	processing	processing	NOUN
cana-2206	222	21	for	for	ADP
cana-2206	222	22	character	character	NOUN
cana-2206	222	23	segmentation	segmentation	NOUN
cana-2206	222	24	.	.	PUNCT
cana-2206	223	1	character	character	NOUN
cana-2206	223	2	recognition	recognition	NOUN
cana-2206	223	3	was	be	AUX
cana-2206	223	4	achieved	achieve	VERB
cana-2206	223	5	with	with	ADP
cana-2206	223	6	a	a	DET
cana-2206	223	7	cnn	cnn	PROPN
cana-2206	223	8	model	model	NOUN
cana-2206	223	9	trained	train	VERB
cana-2206	223	10	on	on	ADP
cana-2206	223	11	indian	indian	ADJ
cana-2206	223	12	license	license	NOUN
cana-2206	223	13	plate	plate	NOUN
cana-2206	223	14	data	datum	NOUN
cana-2206	223	15	,	,	PUNCT
cana-2206	223	16	incorporating	incorporate	VERB
cana-2206	223	17	data	datum	NOUN
cana-2206	223	18	augmentation	augmentation	NOUN
cana-2206	223	19	and	and	CCONJ
cana-2206	223	20	hyperparameter	hyperparameter	NOUN
cana-2206	223	21	tuning	tuning	NOUN
cana-2206	223	22	.	.	PUNCT
cana-2206	224	1	the	the	DET
cana-2206	224	2	recognized	recognize	VERB
cana-2206	224	3	characters	character	NOUN
cana-2206	224	4	were	be	AUX
cana-2206	224	5	outputted	output	VERB
cana-2206	224	6	as	as	ADP
cana-2206	224	7	a	a	DET
cana-2206	224	8	string	string	NOUN
cana-2206	224	9	,	,	PUNCT
cana-2206	224	10	with	with	ADP
cana-2206	224	11	post	post	ADJ
cana-2206	224	12	-	-	ADJ
cana-2206	224	13	processing	processing	ADJ
cana-2206	224	14	ensuring	ensure	VERB
cana-2206	224	15	reliability	reliability	NOUN
cana-2206	224	16	.	.	PUNCT
cana-2206	225	1	this	this	DET
cana-2206	225	2	approach	approach	NOUN
cana-2206	225	3	offers	offer	VERB
cana-2206	225	4	a	a	DET
cana-2206	225	5	robust	robust	ADJ
cana-2206	225	6	framework	framework	NOUN
cana-2206	225	7	for	for	ADP
cana-2206	225	8	real	real	ADJ
cana-2206	225	9	-	-	PUNCT
cana-2206	225	10	world	world	NOUN
cana-2206	225	11	applications	application	NOUN
cana-2206	225	12	,	,	PUNCT
cana-2206	225	13	with	with	ADP
cana-2206	225	14	potential	potential	NOUN
cana-2206	225	15	for	for	ADP
cana-2206	225	16	further	further	ADJ
cana-2206	225	17	optimization	optimization	NOUN
cana-2206	225	18	.	.	PUNCT
cana-2206	226	1	acknowledgment	acknowledgment	NOUN
cana-2206	226	2	we	we	PRON
cana-2206	226	3	sincerely	sincerely	ADV
cana-2206	226	4	appreciate	appreciate	VERB
cana-2206	226	5	dr	dr	PROPN
cana-2206	226	6	.	.	PROPN
cana-2206	226	7	gopal	gopal	PROPN
cana-2206	226	8	upadhye	upadhye	PROPN
cana-2206	226	9	sir	sir	PROPN
cana-2206	226	10	's	's	PART
cana-2206	226	11	leadership	leadership	NOUN
cana-2206	226	12	,	,	PUNCT
cana-2206	226	13	ongoing	ongoing	ADJ
cana-2206	226	14	oversight	oversight	NOUN
cana-2206	226	15	,	,	PUNCT
cana-2206	226	16	provision	provision	NOUN
cana-2206	226	17	of	of	ADP
cana-2206	226	18	projectrelated	projectrelated	ADJ
cana-2206	226	19	information	information	NOUN
cana-2206	226	20	,	,	PUNCT
cana-2206	226	21	and	and	CCONJ
cana-2206	226	22	assistance	assistance	NOUN
cana-2206	226	23	in	in	ADP
cana-2206	226	24	seeing	see	VERB
cana-2206	226	25	the	the	DET
cana-2206	226	26	project	project	NOUN
cana-2206	226	27	through	through	ADP
cana-2206	226	28	to	to	ADP
cana-2206	226	29	completion	completion	NOUN
cana-2206	226	30	.	.	PUNCT
cana-2206	227	1	finally	finally	ADV
cana-2206	227	2	,	,	PUNCT
cana-2206	227	3	i	i	PRON
cana-2206	227	4	would	would	AUX
cana-2206	227	5	want	want	VERB
cana-2206	227	6	to	to	PART
cana-2206	227	7	express	express	VERB
cana-2206	227	8	my	my	PRON
cana-2206	227	9	gratitude	gratitude	NOUN
cana-2206	227	10	to	to	ADP
cana-2206	227	11	the	the	DET
cana-2206	227	12	entire	entire	ADJ
cana-2206	227	13	team	team	NOUN
cana-2206	227	14	for	for	ADP
cana-2206	227	15	their	their	PRON
cana-2206	227	16	invaluable	invaluable	ADJ
cana-2206	227	17	contributions	contribution	NOUN
cana-2206	227	18	to	to	ADP
cana-2206	227	19	the	the	DET
cana-2206	227	20	research	research	NOUN
cana-2206	227	21	.	.	PUNCT
cana-2206	228	1	conflicts	conflict	NOUN
cana-2206	228	2	of	of	ADP
cana-2206	228	3	interest	interest	NOUN
cana-2206	228	4	:	:	PUNCT
cana-2206	228	5	we	we	PRON
cana-2206	228	6	have	have	VERB
cana-2206	228	7	no	no	DET
cana-2206	228	8	conflicts	conflict	NOUN
cana-2206	228	9	of	of	ADP
cana-2206	228	10	interest	interest	NOUN
cana-2206	228	11	to	to	PART
cana-2206	228	12	declare	declare	VERB
cana-2206	228	13	for	for	ADP
cana-2206	228	14	our	our	PRON
cana-2206	228	15	reserch	reserch	NOUN
cana-2206	228	16	.	.	PUNCT
cana-2206	229	1	references	reference	NOUN
cana-2206	229	2	[	[	X
cana-2206	229	3	1	1	NUM
cana-2206	229	4	]	]	X
cana-2206	229	5	ashish	ashish	PROPN
cana-2206	229	6	singhadia	singhadia	PROPN
cana-2206	229	7	,	,	PUNCT
cana-2206	229	8	bhavin	bhavin	NOUN
cana-2206	229	9	a	a	DET
cana-2206	229	10	patel	patel	NOUN
cana-2206	229	11	,	,	PUNCT
cana-2206	229	12	“	"	PUNCT
cana-2206	229	13	automatic	automatic	ADJ
cana-2206	229	14	number	number	NOUN
cana-2206	229	15	plate	plate	NOUN
cana-2206	229	16	recognition	recognition	NOUN
cana-2206	229	17	system	system	NOUN
cana-2206	229	18	using	use	VERB
cana-2206	229	19	improved	improved	ADJ
cana-2206	229	20	segmentation	segmentation	NOUN
cana-2206	229	21	method	method	NOUN
cana-2206	229	22	”	"	PUNCT
cana-2206	229	23	inter	inter	PROPN
cana-2206	229	24	.	.	PROPN
cana-2206	229	25	journal	journal	PROPN
cana-2206	229	26	of	of	ADP
cana-2206	229	27	engineering	engineering	NOUN
cana-2206	229	28	trends	trend	NOUN
cana-2206	229	29	and	and	CCONJ
cana-2206	229	30	technology	technology	NOUN
cana-2206	229	31	,	,	PUNCT
cana-2206	229	32	16(8):386	16(8):386	NUM
cana-2206	229	33	-	-	SYM
cana-2206	229	34	389	389	NUM
cana-2206	229	35	,	,	PUNCT
cana-2206	229	36	oct	oct	PROPN
cana-2206	229	37	.	.	PROPN
cana-2206	229	38	2014	2014	NUM
cana-2206	230	1	[	[	X
cana-2206	230	2	2	2	NUM
cana-2206	230	3	]	]	X
cana-2206	230	4	l.	l.	PROPN
cana-2206	230	5	brown	brown	PROPN
cana-2206	230	6	and	and	CCONJ
cana-2206	230	7	k.	k.	PROPN
cana-2206	230	8	lee	lee	PROPN
cana-2206	230	9	,	,	PUNCT
cana-2206	230	10	"	"	PUNCT
cana-2206	230	11	neural	neural	ADJ
cana-2206	230	12	networks	network	NOUN
cana-2206	230	13	for	for	ADP
cana-2206	230	14	automated	automate	VERB
cana-2206	230	15	number	number	NOUN
cana-2206	230	16	plate	plate	NOUN
cana-2206	230	17	recognition	recognition	NOUN
cana-2206	230	18	"	"	PUNCT
cana-2206	230	19	,	,	PUNCT
cana-2206	230	20	ieee	ieee	NOUN
cana-2206	230	21	transactions	transaction	NOUN
cana-2206	230	22	on	on	ADP
cana-2206	230	23	intelligent	intelligent	ADJ
cana-2206	230	24	transportation	transportation	NOUN
cana-2206	230	25	systems	system	NOUN
cana-2206	230	26	,	,	PUNCT
cana-2206	230	27	vol	vol	NOUN
cana-2206	230	28	.	.	PROPN
cana-2206	230	29	11	11	NUM
cana-2206	230	30	,	,	PUNCT
cana-2206	230	31	no	no	INTJ
cana-2206	230	32	.	.	NOUN
cana-2206	230	33	2	2	NUM
cana-2206	230	34	,	,	PUNCT
cana-2206	230	35	pp	pp	ADJ
cana-2206	230	36	.	.	PUNCT
cana-2206	231	1	207	207	NUM
cana-2206	231	2	-	-	SYM
cana-2206	231	3	212	212	NUM
cana-2206	231	4	,	,	PUNCT
cana-2206	231	5	apr	apr	NOUN
cana-2206	231	6	.	.	PROPN
cana-2206	231	7	2011	2011	NUM
cana-2206	231	8	.	.	PUNCT
cana-2206	232	1	[	[	X
cana-2206	232	2	3	3	X
cana-2206	232	3	]	]	PUNCT
cana-2206	232	4	s.	s.	PROPN
cana-2206	232	5	johnson	johnson	PROPN
cana-2206	232	6	,	,	PUNCT
cana-2206	232	7	"	"	PUNCT
cana-2206	232	8	application	application	NOUN
cana-2206	232	9	of	of	ADP
cana-2206	232	10	svm	svm	NOUN
cana-2206	232	11	for	for	ADP
cana-2206	232	12	character	character	NOUN
cana-2206	232	13	recognition	recognition	NOUN
cana-2206	232	14	in	in	ADP
cana-2206	232	15	anpr	anpr	PROPN
cana-2206	232	16	"	"	PUNCT
cana-2206	232	17	,	,	PUNCT
cana-2206	232	18	ieee	ieee	NOUN
cana-2206	232	19	transactions	transaction	NOUN
cana-2206	232	20	on	on	ADP
cana-2206	232	21	pattern	pattern	NOUN
cana-2206	232	22	analysis	analysis	NOUN
cana-2206	232	23	and	and	CCONJ
cana-2206	232	24	machine	machine	NOUN
cana-2206	232	25	intelligence	intelligence	NOUN
cana-2206	232	26	,	,	PUNCT
cana-2206	232	27	vol	vol	NOUN
cana-2206	232	28	.	.	PROPN
cana-2206	232	29	33	33	NUM
cana-2206	232	30	,	,	PUNCT
cana-2206	232	31	no	no	INTJ
cana-2206	232	32	.	.	NOUN
cana-2206	232	33	4	4	NUM
cana-2206	232	34	,	,	PUNCT
cana-2206	232	35	pp	pp	ADJ
cana-2206	232	36	.	.	PUNCT
cana-2206	233	1	672	672	NUM
cana-2206	233	2	-	-	SYM
cana-2206	233	3	677	677	NUM
cana-2206	233	4	,	,	PUNCT
cana-2206	233	5	apr	apr	PROPN
cana-2206	233	6	.	.	PROPN
cana-2206	233	7	2012	2012	NUM
cana-2206	233	8	.	.	PUNCT
cana-2206	234	1	[	[	X
cana-2206	234	2	4	4	X
cana-2206	234	3	]	]	X
cana-2206	234	4	t.	t.	PROPN
cana-2206	234	5	green	green	PROPN
cana-2206	234	6	et	et	PROPN
cana-2206	234	7	al	al	PROPN
cana-2206	234	8	.	.	PROPN
cana-2206	234	9	,	,	PUNCT
cana-2206	234	10	"	"	PUNCT
cana-2206	234	11	using	use	VERB
cana-2206	234	12	random	random	ADJ
cana-2206	234	13	forests	forest	NOUN
cana-2206	234	14	for	for	ADP
cana-2206	234	15	license	license	NOUN
cana-2206	234	16	plate	plate	NOUN
cana-2206	234	17	detection	detection	NOUN
cana-2206	234	18	"	"	PUNCT
cana-2206	234	19	,	,	PUNCT
cana-2206	234	20	journal	journal	NOUN
cana-2206	234	21	of	of	ADP
cana-2206	234	22	computational	computational	ADJ
cana-2206	234	23	vision	vision	NOUN
cana-2206	234	24	and	and	CCONJ
cana-2206	234	25	robotics	robotic	NOUN
cana-2206	234	26	,	,	PUNCT
cana-2206	234	27	vol	vol	NOUN
cana-2206	234	28	.	.	PROPN
cana-2206	234	29	18	18	NUM
cana-2206	234	30	,	,	PUNCT
cana-2206	234	31	no	no	INTJ
cana-2206	234	32	.	.	NOUN
cana-2206	234	33	5	5	NUM
cana-2206	234	34	,	,	PUNCT
cana-2206	234	35	pp	pp	ADJ
cana-2206	234	36	.	.	PUNCT
cana-2206	235	1	350	350	NUM
cana-2206	235	2	-	-	SYM
cana-2206	235	3	360	360	NUM
cana-2206	235	4	,	,	PUNCT
cana-2206	235	5	may	may	AUX
cana-2206	235	6	2013	2013	NUM
cana-2206	235	7	.	.	PUNCT
cana-2206	236	1	communications	communication	NOUN
cana-2206	236	2	on	on	ADP
cana-2206	236	3	applied	apply	VERB
cana-2206	236	4	nonlinear	nonlinear	ADJ
cana-2206	236	5	analysis	analysis	NOUN
cana-2206	236	6	issn	issn	NOUN
cana-2206	236	7	:	:	PUNCT
cana-2206	236	8	1074	1074	NUM
cana-2206	236	9	-	-	PUNCT
cana-2206	236	10	133x	133x	NUM
cana-2206	236	11	vol	vol	NOUN
cana-2206	236	12	32	32	NUM
cana-2206	236	13	no	no	NOUN
cana-2206	236	14	.	.	PUNCT
cana-2206	237	1	1s	1s	NUM
cana-2206	237	2	(	(	PUNCT
cana-2206	237	3	2025	2025	NUM
cana-2206	237	4	)	)	PUNCT
cana-2206	237	5	431	431	NUM
cana-2206	237	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2206	238	1	[	[	X
cana-2206	238	2	5	5	NUM
cana-2206	238	3	]	]	PUNCT
cana-2206	238	4	a.	a.	NOUN
cana-2206	238	5	white	white	PROPN
cana-2206	238	6	et	et	PROPN
cana-2206	238	7	al	al	PROPN
cana-2206	238	8	.	.	PROPN
cana-2206	238	9	,	,	PUNCT
cana-2206	238	10	"	"	PUNCT
cana-2206	238	11	convolutional	convolutional	ADJ
cana-2206	238	12	neural	neural	ADJ
cana-2206	238	13	networks	network	NOUN
cana-2206	238	14	for	for	ADP
cana-2206	238	15	real	real	ADJ
cana-2206	238	16	-	-	PUNCT
cana-2206	238	17	time	time	NOUN
cana-2206	238	18	anpr	anpr	NOUN
cana-2206	238	19	,	,	PUNCT
cana-2206	238	20	"	"	PUNCT
cana-2206	238	21	international	international	ADJ
cana-2206	238	22	journal	journal	NOUN
cana-2206	238	23	of	of	ADP
cana-2206	238	24	machine	machine	NOUN
cana-2206	238	25	learning	learning	NOUN
cana-2206	238	26	and	and	CCONJ
cana-2206	238	27	cybernetics	cybernetic	NOUN
cana-2206	238	28	,	,	PUNCT
cana-2206	238	29	vol	vol	NOUN
cana-2206	238	30	.	.	PROPN
cana-2206	238	31	25	25	NUM
cana-2206	238	32	,	,	PUNCT
cana-2206	238	33	no	no	INTJ
cana-2206	238	34	.	.	NOUN
cana-2206	238	35	6	6	NUM
cana-2206	238	36	,	,	PUNCT
cana-2206	238	37	pp	pp	ADJ
cana-2206	238	38	.	.	PUNCT
cana-2206	239	1	995	995	NUM
cana-2206	239	2	-	-	SYM
cana-2206	239	3	1003	1003	NUM
cana-2206	239	4	,	,	PUNCT
cana-2206	239	5	june	june	PROPN
cana-2206	239	6	.	.	PROPN
cana-2206	240	1	2015	2015	NUM
cana-2206	240	2	.	.	PUNCT
cana-2206	241	1	[	[	X
cana-2206	241	2	6	6	NUM
cana-2206	241	3	]	]	PUNCT
cana-2206	241	4	b.	b.	PROPN
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cana-2206	241	7	"	"	PUNCT
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cana-2206	241	9	learning	learning	NOUN
cana-2206	241	10	in	in	ADP
cana-2206	241	11	license	license	NOUN
cana-2206	241	12	plate	plate	NOUN
cana-2206	241	13	recognition	recognition	NOUN
cana-2206	241	14	:	:	PUNCT
cana-2206	241	15	a	a	DET
cana-2206	241	16	review	review	NOUN
cana-2206	241	17	,	,	PUNCT
cana-2206	241	18	"	"	PUNCT
cana-2206	241	19	ieee	ieee	NOUN
cana-2206	241	20	transactions	transaction	NOUN
cana-2206	241	21	on	on	ADP
cana-2206	241	22	neural	neural	ADJ
cana-2206	241	23	networks	network	NOUN
cana-2206	241	24	and	and	CCONJ
cana-2206	241	25	learning	learning	NOUN
cana-2206	241	26	systems	system	NOUN
cana-2206	241	27	,	,	PUNCT
cana-2206	241	28	vol	vol	NOUN
cana-2206	241	29	.	.	PROPN
cana-2206	241	30	27	27	NUM
cana-2206	241	31	,	,	PUNCT
cana-2206	241	32	no	no	INTJ
cana-2206	241	33	.	.	NOUN
cana-2206	241	34	8	8	NUM
cana-2206	241	35	,	,	PUNCT
cana-2206	241	36	pp	pp	ADJ
cana-2206	241	37	.	.	PUNCT
cana-2206	242	1	1235	1235	NUM
cana-2206	242	2	-	-	SYM
cana-2206	242	3	1245	1245	NUM
cana-2206	242	4	,	,	PUNCT
cana-2206	242	5	aug	aug	PROPN
cana-2206	242	6	.	.	PROPN
cana-2206	242	7	2016	2016	NUM
cana-2206	242	8	.	.	PUNCT
cana-2206	243	1	[	[	X
cana-2206	243	2	7	7	X
cana-2206	243	3	]	]	X
cana-2206	243	4	c.	c.	PROPN
cana-2206	243	5	thompson	thompson	PROPN
cana-2206	243	6	,	,	PUNCT
cana-2206	243	7	"	"	PUNCT
cana-2206	243	8	adapting	adapt	VERB
cana-2206	243	9	cnn	cnn	PROPN
cana-2206	243	10	architectures	architecture	NOUN
cana-2206	243	11	for	for	ADP
cana-2206	243	12	low	low	ADJ
cana-2206	243	13	light	light	ADJ
cana-2206	243	14	license	license	NOUN
cana-2206	243	15	plate	plate	NOUN
cana-2206	243	16	recognition	recognition	NOUN
cana-2206	243	17	,	,	PUNCT
cana-2206	243	18	"	"	PUNCT
cana-2206	243	19	sensors	sensor	NOUN
cana-2206	243	20	and	and	CCONJ
cana-2206	243	21	actuators	actuator	NOUN
cana-2206	243	22	a	a	DET
cana-2206	243	23	:	:	PUNCT
cana-2206	243	24	physical	physical	ADJ
cana-2206	243	25	,	,	PUNCT
cana-2206	243	26	vol	vol	NOUN
cana-2206	243	27	.	.	PROPN
cana-2206	243	28	260	260	NUM
cana-2206	243	29	,	,	PUNCT
cana-2206	243	30	pp	pp	ADJ
cana-2206	243	31	.	.	PUNCT
cana-2206	243	32	111	111	NUM
cana-2206	243	33	-	-	SYM
cana-2206	243	34	119	119	NUM
cana-2206	243	35	,	,	PUNCT
cana-2206	243	36	feb	feb	PROPN
cana-2206	243	37	.	.	PROPN
cana-2206	243	38	2017	2017	NUM
cana-2206	243	39	.	.	PUNCT
cana-2206	244	1	[	[	X
cana-2206	244	2	8	8	NUM
cana-2206	244	3	]	]	PUNCT
cana-2206	244	4	m.	m.	NOUN
cana-2206	244	5	davies	davy	NOUN
cana-2206	244	6	,	,	PUNCT
cana-2206	244	7	"	"	PUNCT
cana-2206	244	8	fpga	fpga	NOUN
cana-2206	244	9	-	-	PUNCT
cana-2206	244	10	based	base	VERB
cana-2206	244	11	systems	system	NOUN
cana-2206	244	12	for	for	ADP
cana-2206	244	13	real	real	ADJ
cana-2206	244	14	-	-	PUNCT
cana-2206	244	15	time	time	NOUN
cana-2206	244	16	anpr	anpr	NOUN
cana-2206	244	17	,	,	PUNCT
cana-2206	244	18	"	"	PUNCT
cana-2206	244	19	ieee	ieee	NOUN
cana-2206	244	20	transactions	transaction	NOUN
cana-2206	244	21	on	on	ADP
cana-2206	244	22	very	very	ADV
cana-2206	244	23	large	large	ADJ
cana-2206	244	24	scale	scale	NOUN
cana-2206	244	25	integration	integration	NOUN
cana-2206	244	26	(	(	PUNCT
cana-2206	244	27	vlsi	vlsi	PROPN
cana-2206	244	28	)	)	PUNCT
cana-2206	244	29	systems	system	NOUN
cana-2206	244	30	,	,	PUNCT
cana-2206	244	31	vol	vol	NOUN
cana-2206	244	32	.	.	PROPN
cana-2206	244	33	26	26	NUM
cana-2206	244	34	,	,	PUNCT
cana-2206	244	35	no	no	INTJ
cana-2206	244	36	.	.	NOUN
cana-2206	244	37	12	12	NUM
cana-2206	244	38	,	,	PUNCT
cana-2206	244	39	pp	pp	ADJ
cana-2206	244	40	.	.	PUNCT
cana-2206	245	1	2805	2805	NUM
cana-2206	245	2	-	-	SYM
cana-2206	245	3	2810	2810	NUM
cana-2206	245	4	,	,	PUNCT
cana-2206	245	5	dec	dec	PROPN
cana-2206	245	6	.	.	PROPN
cana-2206	245	7	2018	2018	NUM
cana-2206	245	8	.	.	PUNCT
cana-2206	246	1	[	[	X
cana-2206	246	2	9	9	NUM
cana-2206	246	3	]	]	PUNCT
cana-2206	246	4	r.	r.	PROPN
cana-2206	246	5	patel	patel	PROPN
cana-2206	246	6	and	and	CCONJ
cana-2206	246	7	s.	s.	PROPN
cana-2206	246	8	kumar	kumar	PROPN
cana-2206	246	9	,	,	PUNCT
cana-2206	246	10	"	"	PUNCT
cana-2206	246	11	optimized	optimize	VERB
cana-2206	246	12	algorithms	algorithm	NOUN
cana-2206	246	13	for	for	ADP
cana-2206	246	14	real	real	ADJ
cana-2206	246	15	-	-	PUNCT
cana-2206	246	16	time	time	NOUN
cana-2206	246	17	anpr	anpr	NOUN
cana-2206	246	18	on	on	ADP
cana-2206	246	19	low	low	ADJ
cana-2206	246	20	-	-	PUNCT
cana-2206	246	21	power	power	NOUN
cana-2206	246	22	devices	device	NOUN
cana-2206	246	23	,	,	PUNCT
cana-2206	246	24	"	"	PUNCT
cana-2206	246	25	ieee	ieee	NOUN
cana-2206	246	26	access	access	NOUN
cana-2206	246	27	,	,	PUNCT
cana-2206	246	28	vol	vol	NOUN
cana-2206	246	29	.	.	PROPN
cana-2206	246	30	7	7	NUM
cana-2206	246	31	,	,	PUNCT
cana-2206	246	32	pp	pp	ADJ
cana-2206	246	33	.	.	PUNCT
cana-2206	247	1	58210	58210	NUM
cana-2206	247	2	-	-	SYM
cana-2206	247	3	58220	58220	NUM
cana-2206	247	4	,	,	PUNCT
cana-2206	247	5	2019	2019	NUM
cana-2206	247	6	.	.	PUNCT
cana-2206	248	1	[	[	X
cana-2206	248	2	10	10	NUM
cana-2206	248	3	]	]	X
cana-2206	248	4	g.	g.	PROPN
cana-2206	248	5	martin	martin	PROPN
cana-2206	248	6	and	and	CCONJ
cana-2206	248	7	y.	y.	PROPN
cana-2206	248	8	zhou	zhou	PROPN
cana-2206	248	9	,	,	PUNCT
cana-2206	248	10	"	"	PUNCT
cana-2206	248	11	hybrid	hybrid	ADJ
cana-2206	248	12	approaches	approach	NOUN
cana-2206	248	13	for	for	ADP
cana-2206	248	14	advanced	advanced	ADJ
cana-2206	248	15	anpr	anpr	NOUN
cana-2206	248	16	systems	system	NOUN
cana-2206	248	17	,	,	PUNCT
cana-2206	248	18	"	"	PUNCT
cana-2206	248	19	ieee	ieee	NOUN
cana-2206	248	20	transactions	transaction	NOUN
cana-2206	248	21	on	on	ADP
cana-2206	248	22	circuits	circuit	NOUN
cana-2206	248	23	and	and	CCONJ
cana-2206	248	24	systems	system	NOUN
cana-2206	248	25	for	for	ADP
cana-2206	248	26	video	video	NOUN
cana-2206	248	27	technology	technology	NOUN
cana-2206	248	28	,	,	PUNCT
cana-2206	248	29	vol	vol	NOUN
cana-2206	248	30	.	.	PROPN
cana-2206	248	31	29	29	NUM
cana-2206	248	32	,	,	PUNCT
cana-2206	248	33	no	no	INTJ
cana-2206	248	34	.	.	NOUN
cana-2206	248	35	3	3	NUM
cana-2206	248	36	,	,	PUNCT
cana-2206	248	37	pp	pp	ADJ
cana-2206	248	38	.	.	PUNCT
cana-2206	248	39	695	695	NUM
cana-2206	248	40	-	-	SYM
cana-2206	248	41	709	709	NUM
cana-2206	248	42	,	,	PUNCT
cana-2206	248	43	mar	mar	PROPN
cana-2206	248	44	.	.	PROPN
cana-2206	248	45	2020	2020	NUM
cana-2206	248	46	.	.	PUNCT
cana-2206	249	1	[	[	X
cana-2206	249	2	11	11	NUM
cana-2206	249	3	]	]	X
cana-2206	249	4	c.	c.	PROPN
cana-2206	249	5	henry	henry	PROPN
cana-2206	249	6	,	,	PUNCT
cana-2206	249	7	s	s	PROPN
cana-2206	249	8	-	-	PUNCT
cana-2206	249	9	y.	y.	PROPN
cana-2206	249	10	ahn	ahn	PROPN
cana-2206	249	11	,	,	PUNCT
cana-2206	249	12	s	s	PROPN
cana-2206	249	13	-	-	PUNCT
cana-2206	249	14	w.	w.	PROPN
cana-2206	249	15	lee	lee	PROPN
cana-2206	249	16	,	,	PUNCT
cana-2206	249	17	“	"	PUNCT
cana-2206	249	18	multinational	multinational	ADJ
cana-2206	249	19	license	license	NOUN
cana-2206	249	20	plate	plate	NOUN
cana-2206	249	21	recognitionusing	recognitionuse	VERB
cana-2206	249	22	generalized	generalized	ADJ
cana-2206	249	23	character	character	NOUN
cana-2206	249	24	sequence	sequence	NOUN
cana-2206	249	25	detection	detection	NOUN
cana-2206	249	26	”	"	PUNCT
cana-2206	249	27	,	,	PUNCT
cana-2206	249	28	ieee	ieee	NOUN
cana-2206	249	29	access	access	NOUN
cana-2206	249	30	,	,	PUNCT
cana-2206	249	31	pp.35185	pp.35185	PROPN
cana-2206	249	32	-	-	PUNCT
cana-2206	249	33	35199	35199	NUM
cana-2206	249	34	,	,	PUNCT
cana-2206	249	35	10.1109	10.1109	NUM
cana-2206	249	36	/	/	SYM
cana-2206	249	37	access.2020.2974973	access.2020.2974973	PROPN
cana-2206	249	38	,	,	PUNCT
cana-2206	249	39	feb	feb	PROPN
cana-2206	249	40	2023	2023	NUM
cana-2206	249	41	[	[	X
cana-2206	249	42	12	12	NUM
cana-2206	249	43	]	]	X
cana-2206	249	44	f.	f.	PROPN
cana-2206	249	45	miller	miller	PROPN
cana-2206	249	46	,	,	PUNCT
cana-2206	249	47	"	"	PUNCT
cana-2206	249	48	review	review	NOUN
cana-2206	249	49	of	of	ADP
cana-2206	249	50	optical	optical	ADJ
cana-2206	249	51	character	character	NOUN
cana-2206	249	52	recognition	recognition	NOUN
cana-2206	249	53	in	in	ADP
cana-2206	249	54	license	license	NOUN
cana-2206	249	55	plate	plate	NOUN
cana-2206	249	56	recognition	recognition	NOUN
cana-2206	249	57	systems	system	NOUN
cana-2206	249	58	,	,	PUNCT
cana-2206	249	59	"	"	PUNCT
cana-2206	249	60	artificial	artificial	ADJ
cana-2206	249	61	intelligence	intelligence	NOUN
cana-2206	249	62	review	review	NOUN
cana-2206	249	63	,	,	PUNCT
cana-2206	249	64	vol	vol	NOUN
cana-2206	249	65	.	.	PROPN
cana-2206	249	66	42	42	NUM
cana-2206	249	67	,	,	PUNCT
cana-2206	249	68	no	no	INTJ
cana-2206	249	69	.	.	NOUN
cana-2206	249	70	4	4	NUM
cana-2206	249	71	,	,	PUNCT
cana-2206	249	72	pp	pp	ADJ
cana-2206	249	73	.	.	PUNCT
cana-2206	250	1	567	567	NUM
cana-2206	250	2	-	-	SYM
cana-2206	250	3	584	584	NUM
cana-2206	250	4	,	,	PUNCT
cana-2206	250	5	oct	oct	PROPN
cana-2206	250	6	.	.	PROPN
cana-2206	250	7	2015	2015	NUM
cana-2206	250	8	.	.	PUNCT
cana-2206	251	1	[	[	X
cana-2206	251	2	13	13	NUM
cana-2206	251	3	]	]	SYM
cana-2206	251	4	md	md	PROPN
cana-2206	251	5	.	.	PUNCT
cana-2206	252	1	farhan	farhan	PROPN
cana-2206	252	2	sadique	sadique	PROPN
cana-2206	252	3	,	,	PUNCT
cana-2206	252	4	s	s	VERB
cana-2206	252	5	m	m	VERB
cana-2206	252	6	rafizul	rafizul	ADJ
cana-2206	252	7	haque	haque	NOUN
cana-2206	252	8	,	,	PUNCT
cana-2206	252	9	"	"	PUNCT
cana-2206	252	10	a	a	DET
cana-2206	252	11	comparative	comparative	ADJ
cana-2206	252	12	study	study	NOUN
cana-2206	252	13	of	of	ADP
cana-2206	252	14	license	license	NOUN
cana-2206	252	15	plate	plate	NOUN
cana-2206	252	16	detection	detection	NOUN
cana-2206	252	17	and	and	CCONJ
cana-2206	252	18	recognition	recognition	NOUN
cana-2206	252	19	techniques"2019	techniques"2019	NUM
cana-2206	252	20	22nd	22nd	NOUN
cana-2206	252	21	(	(	PUNCT
cana-2206	252	22	iccit	iccit	NOUN
cana-2206	252	23	)	)	PUNCT
cana-2206	252	24	,	,	PUNCT
cana-2206	252	25	dec	dec	PROPN
cana-2206	252	26	2019	2019	NUM
cana-2206	253	1	[	[	X
cana-2206	253	2	14	14	NUM
cana-2206	253	3	]	]	SYM
cana-2206	253	4	v	v	NOUN
cana-2206	253	5	gnanaprakash	gnanaprakash	NOUN
cana-2206	253	6	,	,	PUNCT
cana-2206	253	7	n	n	PRON
cana-2206	253	8	kanthimathi	kanthimathi	NOUN
cana-2206	253	9	,	,	PUNCT
cana-2206	253	10	,	,	PUNCT
cana-2206	253	11	saranya	saranya	PROPN
cana-2206	253	12	naga	naga	PROPN
cana-2206	253	13	"	"	PUNCT
cana-2206	253	14	automatic	automatic	ADJ
cana-2206	253	15	number	number	NOUN
cana-2206	253	16	plate	plate	NOUN
cana-2206	253	17	recognition	recognition	NOUN
cana-2206	253	18	using	use	VERB
cana-2206	253	19	deep	deep	ADJ
cana-2206	253	20	learning	learning	NOUN
cana-2206	253	21	,	,	PUNCT
cana-2206	253	22	"	"	PUNCT
cana-2206	253	23	iop	iop	PROPN
cana-2206	253	24	conference	conference	PROPN
cana-2206	253	25	series	series	PROPN
cana-2206	253	26	materials	material	NOUN
cana-2206	253	27	science	science	NOUN
cana-2206	253	28	and	and	CCONJ
cana-2206	253	29	engineering	engineering	NOUN
cana-2206	253	30	1084(1):012027	1084(1):012027	NUM
cana-2206	253	31	,	,	PUNCT
cana-2206	253	32	mar	mar	PROPN
cana-2206	253	33	.	.	PROPN
cana-2206	253	34	2021	2021	NUM
cana-2206	254	1	[	[	X
cana-2206	254	2	15	15	NUM
cana-2206	254	3	]	]	X
cana-2206	254	4	qianwenli	qianwenli	NOUN
cana-2206	254	5	,	,	PUNCT
cana-2206	254	6	xiaopengli	xiaopengli	NOUN
cana-2206	254	7	,	,	PUNCT
cana-2206	254	8	handong	handong	PROPN
cana-2206	254	9	yao	yao	PROPN
cana-2206	254	10	,	,	PUNCT
cana-2206	254	11	zhaohuiliang	zhaohuiliang	PROPN
cana-2206	254	12	,	,	PUNCT
cana-2206	254	13	weijunxie	weijunxie	PROPN
cana-2206	254	14	,	,	PUNCT
cana-2206	254	15	“	"	PUNCT
cana-2206	254	16	automated	automate	VERB
cana-2206	254	17	vehicle	vehicle	NOUN
cana-2206	254	18	identification	identification	NOUN
cana-2206	254	19	based	base	VERB
cana-2206	254	20	on	on	ADP
cana-2206	254	21	carfollowing	carfollowe	VERB
cana-2206	254	22	data	datum	NOUN
cana-2206	254	23	with	with	ADP
cana-2206	254	24	machine	machine	NOUN
cana-2206	254	25	learning	learning	NOUN
cana-2206	254	26	"	"	PUNCT
cana-2206	254	27	ieee	ieee	NOUN
cana-2206	254	28	transactions	transaction	NOUN
cana-2206	254	29	on	on	ADP
cana-2206	254	30	intelligent	intelligent	ADJ
cana-2206	254	31	transportation	transportation	NOUN
cana-2206	254	32	systems	system	NOUN
cana-2206	254	33	pp(99):1	pp(99):1	PROPN
cana-2206	254	34	-	-	SYM
cana-2206	254	35	10	10	NUM
cana-2206	254	36	,	,	PUNCT
cana-2206	254	37	dec	dec	PROPN
cana-2206	254	38	2023	2023	NUM
cana-2206	255	1	[	[	X
cana-2206	255	2	16	16	NUM
cana-2206	255	3	]	]	PUNCT
cana-2206	255	4	nanxue	nanxue	PROPN
cana-2206	255	5	lu	lu	PROPN
cana-2206	255	6	,	,	PUNCT
cana-2206	255	7	liusheng	liusheng	PROPN
cana-2206	255	8	huang	huang	PROPN
cana-2206	255	9	,	,	PUNCT
cana-2206	255	10	huan	huan	PROPN
cana-2206	255	11	huang	huang	PROPN
cana-2206	255	12	,	,	PUNCT
cana-2206	255	13	zhenbo	zhenbo	PROPN
cana-2206	255	14	xu	xu	PROPN
cana-2206	255	15	,	,	PUNCT
cana-2206	255	16	wei	wei	PROPN
cana-2206	255	17	yang	yang	PROPN
cana-2206	255	18	,	,	PUNCT
cana-2206	255	19	ajinmeng"automatic	ajinmeng"automatic	ADJ
cana-2206	255	20	recognition	recognition	NOUN
cana-2206	255	21	for	for	ADP
cana-2206	255	22	arbitrarily	arbitrarily	ADV
cana-2206	255	23	tilted	tilt	VERB
cana-2206	255	24	license	license	NOUN
cana-2206	255	25	plate	plate	NOUN
cana-2206	255	26	"	"	PUNCT
cana-2206	255	27	,	,	PUNCT
cana-2206	255	28	the	the	DET
cana-2206	255	29	2018	2018	NUM
cana-2206	255	30	the	the	DET
cana-2206	255	31	2nd	2nd	ADJ
cana-2206	255	32	international	international	ADJ
cana-2206	255	33	conference	conference	NOUN
cana-2206	255	34	,	,	PUNCT
cana-2206	255	35	dec	dec	PROPN
cana-2206	255	36	.	.	PROPN
cana-2206	255	37	2018	2018	NUM
cana-2206	255	38	.	.	PUNCT
cana-2206	256	1	[	[	X
cana-2206	256	2	17	17	NUM
cana-2206	256	3	]	]	PUNCT
cana-2206	256	4	upadhye	upadhye	NOUN
cana-2206	256	5	,	,	PUNCT
cana-2206	256	6	g.	g.	PROPN
cana-2206	256	7	d.	d.	PROPN
cana-2206	256	8	,	,	PUNCT
cana-2206	256	9	kulkarni	kulkarni	PROPN
cana-2206	256	10	,	,	PUNCT
cana-2206	256	11	u.	u.	PROPN
cana-2206	256	12	v.	v.	PROPN
cana-2206	256	13	,	,	PUNCT
cana-2206	256	14	&	&	CCONJ
cana-2206	256	15	mane	mane	PROPN
cana-2206	256	16	,	,	PUNCT
cana-2206	256	17	d.	d.	PROPN
cana-2206	256	18	t.	t.	PROPN
cana-2206	256	19	(	(	PUNCT
cana-2206	256	20	2021	2021	NUM
cana-2206	256	21	)	)	PUNCT
cana-2206	256	22	,	,	PUNCT
cana-2206	256	23	“	"	PUNCT
cana-2206	256	24	improved	improved	ADJ
cana-2206	256	25	model	model	NOUN
cana-2206	256	26	configuration	configuration	NOUN
cana-2206	256	27	strategies	strategy	NOUN
cana-2206	256	28	for	for	ADP
cana-2206	256	29	kannada	kannada	PROPN
cana-2206	256	30	handwritten	handwritten	VERB
cana-2206	256	31	numeral	numeral	ADJ
cana-2206	256	32	recognition	recognition	NOUN
cana-2206	256	33	”	"	PUNCT
cana-2206	256	34	,	,	PUNCT
cana-2206	256	35	image	image	NOUN
cana-2206	256	36	analysis	analysis	NOUN
cana-2206	256	37	and	and	CCONJ
cana-2206	256	38	stereology	stereology	NOUN
cana-2206	256	39	,	,	PUNCT
cana-2206	256	40	40(3	40(3	NOUN
cana-2206	256	41	)	)	PUNCT
cana-2206	256	42	,	,	PUNCT
cana-2206	256	43	181	181	NUM
cana-2206	256	44	-	-	SYM
cana-2206	256	45	191	191	NUM
cana-2206	256	46	,	,	PUNCT
cana-2206	256	47	dec	dec	PROPN
cana-2206	256	48	.	.	PROPN
cana-2206	256	49	2021	2021	NUM
cana-2206	256	50	[	[	X
cana-2206	256	51	18	18	NUM
cana-2206	256	52	]	]	PUNCT
cana-2206	256	53	upadhye	upadhye	NOUN
cana-2206	256	54	,	,	PUNCT
cana-2206	256	55	g.	g.	PROPN
cana-2206	256	56	d.	d.	PROPN
cana-2206	256	57	,et	,et	PUNCT
cana-2206	256	58	al	al	PROPN
cana-2206	256	59	.	.	PROPN
cana-2206	256	60	(	(	PUNCT
cana-2206	256	61	2023	2023	NUM
cana-2206	256	62	)	)	PUNCT
cana-2206	256	63	.	.	PUNCT
cana-2206	257	1	a	a	DET
cana-2206	257	2	survey	survey	NOUN
cana-2206	257	3	of	of	ADP
cana-2206	257	4	algorithms	algorithm	NOUN
cana-2206	257	5	involved	involve	VERB
cana-2206	257	6	in	in	ADP
cana-2206	257	7	the	the	DET
cana-2206	257	8	conversion	conversion	NOUN
cana-2206	257	9	of	of	ADP
cana-2206	257	10	2	2	NUM
cana-2206	257	11	-	-	PUNCT
cana-2206	257	12	d	d	NOUN
cana-2206	257	13	images	image	NOUN
cana-2206	257	14	to	to	ADP
cana-2206	257	15	3	3	NUM
cana-2206	257	16	-	-	PUNCT
cana-2206	257	17	d	d	NUM
cana-2206	257	18	model	model	NOUN
cana-2206	257	19	.	.	PUNCT
cana-2206	258	1	international	international	ADJ
cana-2206	258	2	journal	journal	PROPN
cana-2206	258	3	on	on	ADP
cana-2206	258	4	recent	recent	ADJ
cana-2206	258	5	and	and	CCONJ
cana-2206	258	6	innovation	innovation	NOUN
cana-2206	258	7	trends	trend	NOUN
cana-2206	258	8	in	in	ADP
cana-2206	258	9	computing	computing	NOUN
cana-2206	258	10	and	and	CCONJ
cana-2206	258	11	communication	communication	NOUN
cana-2206	258	12	,	,	PUNCT
cana-2206	258	13	11(6s	11(6s	NUM
cana-2206	258	14	)	)	PUNCT
cana-2206	258	15	,	,	PUNCT
cana-2206	258	16	358–370	358–370	NUM
cana-2206	258	17	,	,	PUNCT
cana-2206	258	18	may	may	AUX
cana-2206	258	19	.	.	PUNCT
cana-2206	259	1	2023	2023	NUM