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

Página do item simplificado
dc.contributor.authorOliveira, G.
dc.contributor.authorSilva, F.
dc.contributor.authorPereira, D.
dc.contributor.authorAlmeida, L.
dc.contributor.authorArtero, A. [UNESP]
dc.contributor.authorBonora, A.
dc.contributor.authorAlbuquerque, V. de
dc.contributor.institutionUniv Oeste Paulista
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Fortaleza
dc.date.accessioned2019-10-04T12:15:40Z
dc.date.available2019-10-04T12:15:40Z
dc.date.issued2018-12-01
dc.description.abstractDetection 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.en
dc.description.affiliationUniv Oeste Paulista, Unoeste, Presidente Prudente, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Unesp, Presidente Prudente, SP, Brazil
dc.description.affiliationUniv Fortaleza, Unifor, Programa Grad Informat, Fortaleza, Ceara, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Unesp, Presidente Prudente, SP, Brazil
dc.format.extent2947-2953
dc.identifierhttp://dx.doi.org/10.1109/TLA.2018.8804261
dc.identifier.citationIeee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 16, n. 12, p. 2947-2953, 2018.
dc.identifier.doi10.1109/TLA.2018.8804261
dc.identifier.issn1548-0992
dc.identifier.urihttp://hdl.handle.net/11449/184663
dc.identifier.wosWOS:000482564600015
dc.language.isoeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Latin America Transactions
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectTraffic signs detection
dc.subjectTraffic signs recognition
dc.subjectCharacters segmentation
dc.subjectOCR
dc.titleAutomatic Detection and Recognition of Text-Based Traffic Signs from Imagesen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc
unesp.author.lattes6469656882616214[5]
unesp.author.orcid0000-0001-6824-7251[5]

Arquivos

Coleções

Artigos