Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45496
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dc.contributor.authorDiaz-Cabrera, Moisesen_US
dc.contributor.authorMorales, Aythamien_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.date.accessioned2018-11-22T10:18:07Z-
dc.date.available2018-11-22T10:18:07Z-
dc.date.issued2014en_US
dc.identifier.isbn9789814579636-
dc.identifier.isbn9789814579629
dc.identifier.urihttp://hdl.handle.net/10553/45496-
dc.description.abstractThis paper presents a review of the most recent advances in static/offline signature recognition using Computer Vision and also identifies some new trends and research opportunities such as the generation of synthetic signatures, time drifting, forger and disguise identification and multilingual scenarios. We conclude that the increasing collaboration between the Pattern Recognition community and Forensic Handwriting Experts will lead to future static handwriting signature milestones.en_US
dc.languageengen_US
dc.relation.ispartofAdvances in Digital Handwritten Signature Processing: A Human Artefact for E-Societyen_US
dc.sourceAdvances in Digital Handwritten Signature Processing: A Human Artefact for E-Society, p. 111-122en_US
dc.subject.otherVerificationen_US
dc.subject.otherBiometricsen_US
dc.subject.otherHandwriting recognitionen_US
dc.titleEmerging issues for static handwritten signature biometricsen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBooken_US
dc.identifier.doi10.1142/9789814579636_0009
dc.identifier.scopus85011779258-
dc.contributor.authorscopusid36760594500-
dc.contributor.authorscopusid24476050500-
dc.contributor.authorscopusid55636321172-
dc.description.lastpage122en_US
dc.description.firstpage111en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2014
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Física-
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.orcid0000-0003-3878-3867-
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.fullNameDíaz Cabrera, Moisés-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
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