Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46135
DC FieldValueLanguage
dc.contributor.authorParziale, Antonioen_US
dc.contributor.authorDiaz, Moisesen_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.contributor.authorMarcelli, Angeloen_US
dc.date.accessioned2018-11-23T01:42:24Z-
dc.date.available2018-11-23T01:42:24Z-
dc.date.issued2019en_US
dc.identifier.issn0167-8655en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/46135-
dc.description.abstractBuilding upon findings in computational model of handwriting learning and execution, we introduce the concept of stability to explain the difference between the actual movements performed during multiple execution of the subject’s signature, and conjecture that the most stable parts of the signature should play a paramount role in evaluating the similarity between a questioned signature and the reference ones during signature verification. We then introduce the Stability Modulated Dynamic Time Warping algorithm for incorporating the stability regions, i.e. the most similar parts between two signatures, into the distance measure between a pair of signatures computed by the Dynamic Time Warping for signature verification. Experiments were conducted on two datasets largely adopted for performance evaluation. Experimental results show that the proposed algorithm improves the performance of the baseline system and compares favourably with other top performing signature verification systems.en_US
dc.languageengen_US
dc.relationGeneracion de Un Marco Unificado Para El Desarrollo de Patrones Biometricos de Comportamientoen_US
dc.relation.ispartofPattern Recognition Lettersen_US
dc.sourcePattern Recognition Letters [ISSN 0167-8655], v. 121, p. 113-122, (Abril 2019)en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherAutomatic signature verificationen_US
dc.subject.otherSignature stabilityen_US
dc.subject.otherHandwriting computational modelen_US
dc.titleSM-DTW: Stability Modulated Dynamic Time Warping for signature verificationen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.relation.conference18th Conference of the International-Graphonomics-Society (IGS 2017)-
dc.identifier.doi10.1016/j.patrec.2018.07.029en_US
dc.identifier.scopus85050970009-
dc.identifier.isi000459876700015-
dc.contributor.authorscopusid36983322000-
dc.contributor.authorscopusid36760594500-
dc.contributor.authorscopusid55636321172-
dc.contributor.authorscopusid7005267205-
dc.identifier.eissn1872-7344-
dc.description.lastpage122en_US
dc.description.firstpage113en_US
dc.relation.volume121en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid3944303-
dc.contributor.daisngid29956019-
dc.contributor.daisngid233119-
dc.contributor.daisngid20617580-
dc.description.notasMSC: 41A05 ; 41A10 ; 65D05 ; 65D17en_US
dc.description.numberofpages10en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Parziale, A-
dc.contributor.wosstandardWOS:Diaz, M-
dc.contributor.wosstandardWOS:Ferrer, MA-
dc.contributor.wosstandardWOS:Marcelli, A-
dc.date.coverdateAbril 2019en_US
dc.identifier.conferenceidevents121144-
dc.identifier.ulpgcen_US
dc.description.sjr0,848
dc.description.sjr0,848-
dc.description.jcr3,255
dc.description.jcr3,255-
dc.description.sjrqQ1-
dc.description.jcrqQ2-
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptDepartamento de Física-
crisitem.author.deptIDeTIC: 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.fullNameDíaz Cabrera, Moisés-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.event.eventsstartdate18-06-2017-
crisitem.event.eventsenddate21-06-2017-
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