Automatic vehicle identfication for Argentinean license plates using intelligent template matching

Autores
Gazcón, Nicolás Fernando; Chesñevar, Carlos Iván; Castro, Silvia Mabel
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The problem of automatic number plate recognition (ANPR) has been studied from different aspects since the early 90s. Efficient approaches have been recently developed, particularly based on the features of the license plate representation used in different countries. This paper focuses on a novel approach to solving the ANPR problem for Argentinean license plates, called Intelligent Template Matching (ITM). We compare the performance obtained with other competitive approaches to robust pattern recognition (such as artificial neural networks), showing the advantages both in classification accuracy and training time. The approach can also be easily extended to other license plate representation systems different from the one used in Argentina.
Fil: Gazcón, Nicolás Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
Fil: Chesñevar, Carlos Iván. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
Fil: Castro, Silvia Mabel. Universidad Nacional del Sur. Departamento de Ciencias e Ingenieria de la Computacion. Laboratorio de Investigación y Desarrollo en Visualización yComputación Gráfica; Argentina
Materia
LICENSE PLATE RECOGNITION
TEMPLATE RECOGNITION
IMAGE PROCESSING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/195819
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Automatic vehicle identfication for Argentinean license plates using intelligent template matchingGazcón, Nicolás FernandoChesñevar, Carlos IvánCastro, Silvia MabelLICENSE PLATE RECOGNITIONTEMPLATE RECOGNITIONIMAGE PROCESSINGhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The problem of automatic number plate recognition (ANPR) has been studied from different aspects since the early 90s. Efficient approaches have been recently developed, particularly based on the features of the license plate representation used in different countries. This paper focuses on a novel approach to solving the ANPR problem for Argentinean license plates, called Intelligent Template Matching (ITM). We compare the performance obtained with other competitive approaches to robust pattern recognition (such as artificial neural networks), showing the advantages both in classification accuracy and training time. The approach can also be easily extended to other license plate representation systems different from the one used in Argentina.Fil: Gazcón, Nicolás Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Chesñevar, Carlos Iván. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Castro, Silvia Mabel. Universidad Nacional del Sur. Departamento de Ciencias e Ingenieria de la Computacion. Laboratorio de Investigación y Desarrollo en Visualización yComputación Gráfica; ArgentinaElsevier Science2012-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/195819Gazcón, Nicolás Fernando; Chesñevar, Carlos Iván; Castro, Silvia Mabel; Automatic vehicle identfication for Argentinean license plates using intelligent template matching; Elsevier Science; Pattern Recognition Letters; 33; 9; 1-7-2012; 1066-10740167-8655CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0167865512000360info:eu-repo/semantics/altIdentifier/doi/10.1016/j.patrec.2012.02.004info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:33Zoai:ri.conicet.gov.ar:11336/195819instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:53:34.267CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Automatic vehicle identfication for Argentinean license plates using intelligent template matching
title Automatic vehicle identfication for Argentinean license plates using intelligent template matching
spellingShingle Automatic vehicle identfication for Argentinean license plates using intelligent template matching
Gazcón, Nicolás Fernando
LICENSE PLATE RECOGNITION
TEMPLATE RECOGNITION
IMAGE PROCESSING
title_short Automatic vehicle identfication for Argentinean license plates using intelligent template matching
title_full Automatic vehicle identfication for Argentinean license plates using intelligent template matching
title_fullStr Automatic vehicle identfication for Argentinean license plates using intelligent template matching
title_full_unstemmed Automatic vehicle identfication for Argentinean license plates using intelligent template matching
title_sort Automatic vehicle identfication for Argentinean license plates using intelligent template matching
dc.creator.none.fl_str_mv Gazcón, Nicolás Fernando
Chesñevar, Carlos Iván
Castro, Silvia Mabel
author Gazcón, Nicolás Fernando
author_facet Gazcón, Nicolás Fernando
Chesñevar, Carlos Iván
Castro, Silvia Mabel
author_role author
author2 Chesñevar, Carlos Iván
Castro, Silvia Mabel
author2_role author
author
dc.subject.none.fl_str_mv LICENSE PLATE RECOGNITION
TEMPLATE RECOGNITION
IMAGE PROCESSING
topic LICENSE PLATE RECOGNITION
TEMPLATE RECOGNITION
IMAGE PROCESSING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The problem of automatic number plate recognition (ANPR) has been studied from different aspects since the early 90s. Efficient approaches have been recently developed, particularly based on the features of the license plate representation used in different countries. This paper focuses on a novel approach to solving the ANPR problem for Argentinean license plates, called Intelligent Template Matching (ITM). We compare the performance obtained with other competitive approaches to robust pattern recognition (such as artificial neural networks), showing the advantages both in classification accuracy and training time. The approach can also be easily extended to other license plate representation systems different from the one used in Argentina.
Fil: Gazcón, Nicolás Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
Fil: Chesñevar, Carlos Iván. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
Fil: Castro, Silvia Mabel. Universidad Nacional del Sur. Departamento de Ciencias e Ingenieria de la Computacion. Laboratorio de Investigación y Desarrollo en Visualización yComputación Gráfica; Argentina
description The problem of automatic number plate recognition (ANPR) has been studied from different aspects since the early 90s. Efficient approaches have been recently developed, particularly based on the features of the license plate representation used in different countries. This paper focuses on a novel approach to solving the ANPR problem for Argentinean license plates, called Intelligent Template Matching (ITM). We compare the performance obtained with other competitive approaches to robust pattern recognition (such as artificial neural networks), showing the advantages both in classification accuracy and training time. The approach can also be easily extended to other license plate representation systems different from the one used in Argentina.
publishDate 2012
dc.date.none.fl_str_mv 2012-07-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/195819
Gazcón, Nicolás Fernando; Chesñevar, Carlos Iván; Castro, Silvia Mabel; Automatic vehicle identfication for Argentinean license plates using intelligent template matching; Elsevier Science; Pattern Recognition Letters; 33; 9; 1-7-2012; 1066-1074
0167-8655
CONICET Digital
CONICET
url http://hdl.handle.net/11336/195819
identifier_str_mv Gazcón, Nicolás Fernando; Chesñevar, Carlos Iván; Castro, Silvia Mabel; Automatic vehicle identfication for Argentinean license plates using intelligent template matching; Elsevier Science; Pattern Recognition Letters; 33; 9; 1-7-2012; 1066-1074
0167-8655
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0167865512000360
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.patrec.2012.02.004
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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