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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/73189
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dc.contributor.authorRogeri, J. G.-
dc.contributor.authorPontes, M. A.-
dc.contributor.authorPereira, A. S.-
dc.contributor.authorMarranghello, N.-
dc.contributor.authorAraujo, A. F.-
dc.contributor.authorTavares, João Manuel R. S.-
dc.date.accessioned2014-05-27T11:26:23Z-
dc.date.accessioned2016-10-25T18:36:36Z-
dc.date.available2014-05-27T11:26:23Z-
dc.date.available2016-10-25T18:36:36Z-
dc.date.issued2012-02-13-
dc.identifierhttp://www.crcpress.com/product/isbn/9780415683951-
dc.identifier.citationComputational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, p. 183-187.-
dc.identifier.urihttp://hdl.handle.net/11449/73189-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/73189-
dc.description.abstractNowadays, systems based on biométrie techniques have a wide acceptance in many different areas, due to their levels of safety and accuracy. A biometrie technique that is gaining prominence is the identification of individuals through iris recognition. However, to be proficiently used these systems must process their recognition task as fast as possible. The goal of this work has been the development of an iris recognition method to produce results rapidly, yet without losing the recognition accuracy. The experimental results show that the method is quite promising. © 2012 Taylor & Francis Group.en
dc.format.extent183-187-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectBiometric systems-
dc.subjectIdentification of individuals-
dc.subjectIris recognition-
dc.subjectRecognition accuracy-
dc.subjectImage processing-
dc.subjectMedical image processing-
dc.subjectBiometrics-
dc.titleFast identification of individuals based on iris characteristics for biometric systemsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionInstituto de Engenharia Mecanica e Gestao Industrial (INEGI)-
dc.description.affiliationDepartment of Computer Science and Statistic IBILCE Sao Paulo State University (UNESP), São Jose do Rio Preto-SP-
dc.description.affiliationFaculdade de Engenharia Universidade do Porto (FEUP) Instituto de Engenharia Mecanica e Gestao Industrial (INEGI), Porto-
dc.description.affiliationUnespDepartment of Computer Science and Statistic IBILCE Sao Paulo State University (UNESP), São Jose do Rio Preto-SP-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofComputational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing-
dc.identifier.scopus2-s2.0-84856716252-
dc.identifier.orcid0000-0003-1086-3312pt
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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