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Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/46153
DC FieldValueLanguage
dc.contributor.authorMekyska, Jiríen_US
dc.contributor.authorFont-Aragones, Xavieren_US
dc.contributor.authorFaundez-Zanuy, Marcosen_US
dc.contributor.authorHernández-Mingorance, Rubénen_US
dc.contributor.authorMorales, Aythamien_US
dc.contributor.authorFerrer-Ballester, Miguel Ángelen_US
dc.date.accessioned2018-11-23T01:51:22Z-
dc.date.available2018-11-23T01:51:22Z-
dc.date.issued2011en_US
dc.identifier.isbn9781457709029en_US
dc.identifier.issn1071-6572en_US
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/46153-
dc.description.abstractImage segmentation is a first step for most of the biometric systems. In this paper we present a hand image segmentation algorithm for thermographic images. This work is based on a specially acquired database with a thermographic camera TESTO 882-3, which acquires thermal images of 320×240 pixels as well as visible images of 640×480 pixels. Experimental results reveal that thermal images are harder to segment from the background than visible images. Specially for some users. However, thermal images provide some interesting information, such as the vein pattern distribution.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - International Carnahan Conference on Security Technologyen_US
dc.sourceProceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (06095877)en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherimage segmentationen_US
dc.subject.otherinfrared imagingen_US
dc.subject.othervein recognitionen_US
dc.titleThermal hand image segmentation for biometric recognitonen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011
dc.identifier.doi10.1109/CCST.2011.6095877
dc.identifier.scopus84455210340-
dc.contributor.authorscopusid35746344400-
dc.contributor.authorscopusid54792926800-
dc.contributor.authorscopusid6701452104-
dc.contributor.authorscopusid55942003600-
dc.contributor.authorscopusid24476050500-
dc.contributor.authorscopusid55636321172-
dc.identifier.issue06095877-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionSíen_US
dc.date.coverdateDiciembre 2011
dc.identifier.conferenceidevents120775
dc.identifier.ulpgcSíes
item.fulltextSin texto completo-
item.grantfulltextnone-
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.orcid0000-0002-2924-1225-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.event.eventsstartdate18-10-2011-
crisitem.event.eventsenddate21-10-2011-
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