Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45486
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dc.contributor.authorPirlo, G.
dc.contributor.authorCuccovillo, V.
dc.contributor.authorDiaz-Cabrera, M.
dc.contributor.authorImpedovo, D.
dc.contributor.authorMignone, P.
dc.contributor.otherDiaz, Moises
dc.contributor.otherPirlo, Giuseppe
dc.contributor.otherMignone, Paolo
dc.contributor.otherImpedovo, Donato
dc.date.accessioned2018-11-22T10:13:36Z-
dc.date.available2018-11-22T10:13:36Z-
dc.date.issued2015
dc.identifier.issn2168-2291
dc.identifier.urihttp://hdl.handle.net/10553/45486-
dc.description.abstractThis paper presents a new approach for online signature verification that exploits the potential of local stability information in handwritten signatures. Different from previous models, this approach classifies a signature using a multidomain strategy. A signature is first split into different segments based on the stability model of a signer. Then, according to the stability model, for each segment, the most profitable domain of representation for verification purposes is detected. In the verification stage, the authenticity of each segment of the unknown signature is evaluated in the most profitable domain of representation. The authenticity of the unknown signature is then determined by combining local verification decisions. The study was carried out on the signatures in the SUSIG database, and the experimental results, thus, obtained confirm the effectiveness of the proposed approach, when compared with others in the literature.
dc.publisher2168-2291
dc.relation.ispartofIEEE Transactions on Human-Machine Systems
dc.sourceIEEE Transactions on Human-Machine Systems[ISSN 2168-2291],v. 45 (7145458), p. 805-810
dc.subject.otherStatic Signatures
dc.titleMultidomain Verification of Dynamic Signatures Using Local Stability Analysis
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1109/THMS.2015.2443050
dc.identifier.scopus84959455542-
dc.identifier.isi000366893700015
dcterms.isPartOfIeee Transactions On Human-Machine Systems
dcterms.sourceIeee Transactions On Human-Machine Systems[ISSN 2168-2291],v. 45 (6), p. 805-810
dc.contributor.authorscopusid55906867800
dc.contributor.authorscopusid56712941500
dc.contributor.authorscopusid36760594500
dc.contributor.authorscopusid24821831600
dc.contributor.authorscopusid56712994200
dc.description.lastpage810
dc.identifier.issue7145458
dc.description.firstpage805
dc.relation.volume45
dc.type2Artículoes
dc.identifier.wosWOS:000366893700015
dc.contributor.daisngid443290
dc.contributor.daisngid12390736
dc.contributor.daisngid29956019
dc.contributor.daisngid4112434
dc.contributor.daisngid775532
dc.contributor.daisngid6035010
dc.identifier.investigatorRIDL-3637-2013
dc.identifier.investigatorRIDNo ID
dc.identifier.investigatorRIDNo ID
dc.identifier.investigatorRIDNo ID
dc.contributor.wosstandardWOS:Pirlo, G
dc.contributor.wosstandardWOS:Cuccovillo, V
dc.contributor.wosstandardWOS:Diaz-Cabrera, M
dc.contributor.wosstandardWOS:Impedovo, D
dc.contributor.wosstandardWOS:Mignone, P
dc.date.coverdateDiciembre 2015
dc.identifier.ulpgces
dc.description.sjr1,801
dc.description.jcr1,8
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.orcid0000-0003-3878-3867-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameDíaz Cabrera, Moisés-
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