Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44071
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dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorBotella, Patriciaen_US
dc.contributor.authorAlonso, Jesús B.en_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.date.accessioned2018-11-21T20:00:38Z-
dc.date.available2018-11-21T20:00:38Z-
dc.date.issued2009en_US
dc.identifier.isbn9781424441709en_US
dc.identifier.issn1071-6572en_US
dc.identifier.urihttp://hdl.handle.net/10553/44071-
dc.description.abstractIn this paper, it is proposed a facial biometric identification system, using discriminative common vector. This method reduces the number of characteristics of the different images from the database and selects the most discriminative of them. In this work, transformed domains, such as discrete cosine transformed (DCT), discrete wavelets transformed (DWT), principal component analysis (PCA), linear discriminative analysis (LDA) and independent component analysis (ICA) are also used. As classifier systems a support vector machines (SVM) and a neuronal network (NN) have been utilized. With the above system, a simple and robust system with good results has been obtained. Using DCV, our experiments have reached a success rate of 99.13%plusmn0.23 for ORL and 99.4%plusmn0.35 for Yale.en_US
dc.languagespaen_US
dc.publisher1071-6572en_US
dc.relation.ispartofProceedings - International Carnahan Conference on Security Technologyen_US
dc.sourceProceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (5335551), p. 134-138en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherBiometric identification , facial recognition , classification system , Discriminative Common Vector (DVC) and Support Vector Machines (SVM).en_US
dc.titleDiscriminative common vector for face identificationen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference43rd Annual 2009 International Carnahan Conference on Security Technology, ICCST 2009
dc.identifier.doi10.1109/CCST.2009.5335551
dc.identifier.scopus72849119795-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid35298776100-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid55636321172-
dc.description.lastpage138-
dc.identifier.issue5335551-
dc.description.firstpage134-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateDiciembre 2009
dc.identifier.conferenceidevents121371
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.event.eventsstartdate05-10-2009-
crisitem.event.eventsenddate08-10-2009-
Appears in Collections:Actas de congresos
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