Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/44069
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dc.contributor.authorVargas, Jesus F.en_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorAlonso, Jesus B.en_US
dc.date.accessioned2018-11-21T19:59:42Z-
dc.date.available2018-11-21T19:59:42Z-
dc.date.issued2009en_US
dc.identifier.isbn9780769537252en_US
dc.identifier.issn1520-5363en_US
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/44069-
dc.description.abstractFeatures representing information about pressure distribution from a static image of a handwritten signature are analyzed for an offline verification system. From gray-scale images, its histogram is calculated and used as "spectrum'' for calculation of pseudo-cepstral coefficients. Finally, the unique minimum-phase sequence is estimated and used as feature vector for signature verification. The optimal number of pseudo-coefficients is estimated for best system performance. Experiments were carried out using a database containing signatures from 100 individuals. The robustness of the analyzed system for simple forgeries is tested out with a LS-SVM model. For the sake of completeness, a comparison of the results obtained by the proposed approach with similar works published using pseudo-dynamic feature for offline signature verification is presented.en_US
dc.languagespaen_US
dc.publisher1520-5363en_US
dc.relation.ispartofProceedings of the International Conference on Document Analysis and Recognition, ICDARen_US
dc.sourceProceedings of the International Conference on Document Analysis and Recognition, ICDAR[ISSN 1520-5363] (5277766), p. 126-130en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherHandwriting recognition , Image analysis , Information analysis , Gray-scale , Histograms , System performance , Image databases , Spatial databases , Robustness , Forgery ,Offline signature verification , ls-svmen_US
dc.titleOffline signature verification based on pseudo-cepstral coefficientsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conferenceICDAR2009 - 10th International Conference on Document Analysis and Recognition
dc.identifier.doi10.1109/ICDAR.2009.68
dc.identifier.scopus71449123598-
dc.contributor.authorscopusid24767932500-
dc.contributor.authorscopusid55636321172-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid24774957200-
dc.description.lastpage130-
dc.identifier.issue5277766-
dc.description.firstpage126-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateDiciembre 2009
dc.identifier.conferenceidevents121370
dc.identifier.ulpgces
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.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.orcid0000-0002-2924-1225-
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.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.event.eventsstartdate26-07-2009-
crisitem.event.eventsenddate29-07-2009-
Appears in Collections:Actas de congresos
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