Detection of the characters from the license plates by cascade classifiers method

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DC Field	Value	Language
dc.contributor.author	Quezada Sarmiento, P.	es_ES
dc.contributor.author	Barba Guaman, L.	es_ES
dc.contributor.author	Calderon Cordova, C.	es_ES
dc.date.accessioned	2017-06-16T22:02:22Z	-
dc.date.available	2016-07-04	es_ES
dc.date.available	2017-06-16T22:02:22Z	-
dc.date.issued	2017-01-17	es_ES
dc.date.submitted	05/03/2017	es_ES
dc.identifier	10.1109/FTC.2016.7821662	es_ES
dc.identifier.issn	978-150904171-8	es_ES
dc.identifier.other	10.1109/FTC.2016.7821662	es_ES
dc.identifier.uri	http://dspace.utpl.edu.ec/handle/123456789/18787	-
dc.description.abstract	this article describes the detection of the characters of the license plate through of computer vision techniques such as cascade of classifiers based in Sobel algorithm, analysis of peaks, and valleys and learning vector machines; the search for the region of the plate begins by detecting vehicles, then, character segmentation and concludes with the recognition of these. The system it was tested in different scenarios: such as different lighting provided by the day or night, and weather changes. The average time to execute these phases it was 434 ms.	es_ES
dc.language	Inglés	es_ES
dc.subject	Detection	es_ES
dc.subject	characterscascade classifiers	es_ES
dc.subject	method	es_ES
dc.title	Detection of the characters from the license plates by cascade classifiers method	es_ES
dc.type	Article	es_ES
dc.publisher	FTC 2016 - Proceedings of Future Technologies Conference	es_ES
Appears in Collections:	Artículos de revistas Científicas

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