Automatic Detection and Recognition of Text-Based Traffic Signs from Images

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorOliveira, G.-
Autor(es): dc.creatorSilva, F.-
Autor(es): dc.creatorPereira, D.-
Autor(es): dc.creatorAlmeida, L.-
Autor(es): dc.creatorArtero, A.-
Autor(es): dc.creatorBonora, A.-
Autor(es): dc.creatorAlbuquerque, V. de-
Data de aceite: dc.date.accessioned2021-03-11T01:12:38Z-
Data de disponibilização: dc.date.available2021-03-11T01:12:38Z-
Data de envio: dc.date.issued2019-10-04-
Data de envio: dc.date.issued2019-10-04-
Data de envio: dc.date.issued2018-12-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TLA.2018.8804261-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/184663-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/184663-
Descrição: dc.descriptionDetection and recognition of texts in traffic signs has been widely studied and with the advance in image capture technology has helped to improve or to create new methods to achieve this issue. In this work, we presented a method for detection, segmentation and recognition of text-based traffic signs from images analyzing and processing techniques. The results show that the computational cost and accuracy rate considering the proposed approach are acceptable to real time applications, with an execution time under 0.5 seconds, with a hit rate of 94.38% in the plate detection, 83.42% in the character segmentation and 89.23 in the digit classification.-
Formato: dc.format2947-2953-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-inst Electrical Electronics Engineers Inc-
Relação: dc.relationIeee Latin America Transactions-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectTraffic signs detection-
Palavras-chave: dc.subjectTraffic signs recognition-
Palavras-chave: dc.subjectCharacters segmentation-
Palavras-chave: dc.subjectOCR-
Título: dc.titleAutomatic Detection and Recognition of Text-Based Traffic Signs from Images-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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