Fast identification of individuals based on iris characteristics for biometric systems
Autor(a) principal: | |
---|---|
Data de Publicação: | 2012 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.crcpress.com/product/isbn/9780415683951 http://hdl.handle.net/11449/73189 |
Resumo: | Nowadays, 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. |
id |
UNSP_e6abd99e009e767e6b9a38e476a5ccbe |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/73189 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Fast identification of individuals based on iris characteristics for biometric systemsBiometric systemsIdentification of individualsIris recognitionRecognition accuracyImage processingMedical image processingBiometricsNowadays, 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.Department of Computer Science and Statistic IBILCE Sao Paulo State University (UNESP), São Jose do Rio Preto-SPFaculdade de Engenharia Universidade do Porto (FEUP) Instituto de Engenharia Mecanica e Gestao Industrial (INEGI), PortoDepartment of Computer Science and Statistic IBILCE Sao Paulo State University (UNESP), São Jose do Rio Preto-SPUniversidade Estadual Paulista (Unesp)Instituto de Engenharia Mecanica e Gestao Industrial (INEGI)Rogeri, J. G. [UNESP]Pontes, M. A. [UNESP]Pereira, A. S. [UNESP]Marranghello, N. [UNESP]Araujo, A. F.Tavares, João Manuel R. S.2014-05-27T11:26:23Z2014-05-27T11:26:23Z2012-02-13info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject183-187http://www.crcpress.com/product/isbn/9780415683951Computational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, p. 183-187.http://hdl.handle.net/11449/731892-s2.0-84856716252966729507654992420986232628927190000-0003-1086-3312Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processinginfo:eu-repo/semantics/openAccess2021-10-23T21:41:30Zoai:repositorio.unesp.br:11449/73189Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:49:40.638411Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Fast identification of individuals based on iris characteristics for biometric systems |
title |
Fast identification of individuals based on iris characteristics for biometric systems |
spellingShingle |
Fast identification of individuals based on iris characteristics for biometric systems Rogeri, J. G. [UNESP] Biometric systems Identification of individuals Iris recognition Recognition accuracy Image processing Medical image processing Biometrics |
title_short |
Fast identification of individuals based on iris characteristics for biometric systems |
title_full |
Fast identification of individuals based on iris characteristics for biometric systems |
title_fullStr |
Fast identification of individuals based on iris characteristics for biometric systems |
title_full_unstemmed |
Fast identification of individuals based on iris characteristics for biometric systems |
title_sort |
Fast identification of individuals based on iris characteristics for biometric systems |
author |
Rogeri, J. G. [UNESP] |
author_facet |
Rogeri, J. G. [UNESP] Pontes, M. A. [UNESP] Pereira, A. S. [UNESP] Marranghello, N. [UNESP] Araujo, A. F. Tavares, João Manuel R. S. |
author_role |
author |
author2 |
Pontes, M. A. [UNESP] Pereira, A. S. [UNESP] Marranghello, N. [UNESP] Araujo, A. F. Tavares, João Manuel R. S. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Instituto de Engenharia Mecanica e Gestao Industrial (INEGI) |
dc.contributor.author.fl_str_mv |
Rogeri, J. G. [UNESP] Pontes, M. A. [UNESP] Pereira, A. S. [UNESP] Marranghello, N. [UNESP] Araujo, A. F. Tavares, João Manuel R. S. |
dc.subject.por.fl_str_mv |
Biometric systems Identification of individuals Iris recognition Recognition accuracy Image processing Medical image processing Biometrics |
topic |
Biometric systems Identification of individuals Iris recognition Recognition accuracy Image processing Medical image processing Biometrics |
description |
Nowadays, 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. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-02-13 2014-05-27T11:26:23Z 2014-05-27T11:26:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.crcpress.com/product/isbn/9780415683951 Computational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, p. 183-187. http://hdl.handle.net/11449/73189 2-s2.0-84856716252 9667295076549924 2098623262892719 0000-0003-1086-3312 |
url |
http://www.crcpress.com/product/isbn/9780415683951 http://hdl.handle.net/11449/73189 |
identifier_str_mv |
Computational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, p. 183-187. 2-s2.0-84856716252 9667295076549924 2098623262892719 0000-0003-1086-3312 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Computational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
183-187 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128986498203648 |