Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/41711
Campo DC Valoridioma
dc.contributor.authorDiaz, Moisesen_US
dc.contributor.authorFischer, Andreasen_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.contributor.authorPlamondon, Rejeanen_US
dc.date.accessioned2018-08-01T12:07:24Z-
dc.date.available2018-08-01T12:07:24Z-
dc.date.issued2018en_US
dc.identifier.issn2168-2267en_US
dc.identifier.urihttp://hdl.handle.net/10553/41711-
dc.description.abstractThe dynamic signature is a biometric trait widely used and accepted for verifying a person's identity. Current automatic signature-based biometric systems typically require five, ten, or even more specimens of a person's signature to learn intrapersonal variability sufficient to provide an accurate verification of the individual's identity. To mitigate this drawback, this paper proposes a procedure for training with only a single reference signature. Our strategy consists of duplicating the given signature a number of times and training an automatic signature verifier with each of the resulting signatures. The duplication scheme is based on a sigma lognormal decomposition of the reference signature. Two methods are presented to create human-like duplicated signatures: the first varies the strokes' lognormal parameters (stroke-wise) whereas the second modifies their virtual target points (target-wise). A challenging benchmark, assessed with multiple state-of-the-art automatic signature verifiers and multiple databases, proves the robustness of the system. Experimental results suggest that our system, with a single reference signature, is capable of achieving a similar performance to standard verifiers trained with up to five signature specimens.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Cyberneticsen_US
dc.sourceIEEE Transactions on Cybernetics [ISSN 2168-2267], v. 48 (1), p. 228-239en_US
dc.subject120325 Diseño de sistemas sensoresen_US
dc.subject.otherRapid Human Movements
dc.subject.otherFeature-Extraction
dc.subject.otherKinematic Theory
dc.subject.otherOnline
dc.subject.otherRecognition
dc.subject.otherRepresentation
dc.subject.otherNormalization
dc.subject.otherGeneration
dc.subject.otherAlgorithm
dc.subject.otherDatabase
dc.titleDynamic signature verification system based on one real signatureen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1109/TCYB.2016.2630419
dc.identifier.scopus85042613119
dc.identifier.isi000418291400019-
dc.contributor.authorscopusid36760594500
dc.contributor.authorscopusid57192656275
dc.contributor.authorscopusid55636321172
dc.contributor.authorscopusid7004878474
dc.description.lastpage239-
dc.identifier.issue1-
dc.description.firstpage228-
dc.relation.volume48-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid29956019
dc.contributor.daisngid2554250
dc.contributor.daisngid233119
dc.contributor.daisngid196367
dc.contributor.wosstandardWOS:Diaz, M
dc.contributor.wosstandardWOS:Fischer, A
dc.contributor.wosstandardWOS:Ferrer, MA
dc.contributor.wosstandardWOS:Plamondon, R
dc.date.coverdateEnero 2018
dc.identifier.ulpgces
dc.description.sjr3,548
dc.description.jcr10,387
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
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 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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