Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44047
DC FieldValueLanguage
dc.contributor.authorSolé-Casals, Jordien_US
dc.contributor.authorTravieso-González, Carlos M.en_US
dc.contributor.authorDel Pozo, Marcosen_US
dc.contributor.authorAlonso, Jesús B.en_US
dc.date.accessioned2018-11-21T19:49:49Z-
dc.date.available2018-11-21T19:49:49Z-
dc.date.issued2011en_US
dc.identifier.isbn9789898425355en_US
dc.identifier.urihttp://hdl.handle.net/10553/44047-
dc.description.abstractIn this work we present a new face detection algorithm for biometric recognition systems, based on Empirical Mode Decomposition (EMD) that helps us to detect the central skin part of the face. After a binarization and dilatation process, we get an approximation of the face location that is finally established by adjusting an ellipse. Finally, a mask is created using the perimeter of this ellipse and applied to the original image, giving as a result the detected face. Experiments show the performance of the method, with a recognition rate of 97.60%.
dc.languagespaen_US
dc.relation.ispartofBIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processingen_US
dc.sourceBIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, p. 565-569en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherBiometrics, Empirical Mode Decomposition (EMD), Face detectionen_US
dc.titleFace detection algorithm using EMD: Application to biometric recognition systemen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conferenceInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011
dc.identifier.scopus79960261042-
dc.contributor.authorscopusid14018739300-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid35241841700-
dc.contributor.authorscopusid24774957200-
dc.description.lastpage569-
dc.description.firstpage565-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateJulio 2011
dc.identifier.conferenceidevents120796
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate26-01-2011-
crisitem.event.eventsenddate29-01-2011-
crisitem.author.deptGIR IDeTIC: 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.deptGIR IDeTIC: 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.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-
Appears in Collections:Actas de congresos
Show simple item record

Page view(s)

58
checked on Feb 17, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.