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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44014
DC FieldValueLanguage
dc.contributor.authorVásquez, José L.-
dc.contributor.authorTravieso, Carlos M.-
dc.contributor.authorAlonso, Jesús B.-
dc.date.accessioned2018-11-21T19:34:42Z-
dc.date.available2018-11-21T19:34:42Z-
dc.date.issued2013-
dc.identifier.isbn9781479908899-
dc.identifier.issn1071-6572-
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/44014-
dc.description.abstractThis work proposes an off-line writer identification approach based on graphometrical and forensic features. We selected a set of features with independence of the text and some stability degree to natural changes in the writing. The system uses the LS-SVM classifier with RBF kernel, reaching up to 99.1% of success rate for an own database composed by 100 users with 10 samples per each one-
dc.languageeng-
dc.publisher1071-6572-
dc.relation.ispartofInternational Carnahan Conference on Security Technology-
dc.sourceProceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (6922062)-
dc.subject3307 Tecnología electrónica-
dc.subject.otherWriter Identification-
dc.subject.otherOff-Line Handwriting-
dc.subject.otherGraphology Techniques-
dc.subject.otherSvm-
dc.subject.otherBiometrics-
dc.subject.otherPatter Recognition-
dc.titleUsing calligraphies features for off line writer identification-
dc.typeinfo:eu-repo/semantics/conferenceObject-
dc.typeConferenceObject-
dc.relation.conference47th International Carnahan Conference on Security Technology (ICCST)-
dc.identifier.doi10.1109/CCST.2013.6922062-
dc.identifier.scopus84908224835-
dc.identifier.isi000363988000030-
dc.contributor.authorscopusid35766960600-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid24774957200-
dc.identifier.issue6922062-
dc.investigacionIngeniería y Arquitectura-
dc.type2Actas de congresos-
dc.contributor.daisngid1936568-
dc.contributor.daisngid265761-
dc.contributor.daisngid418703-
dc.description.numberofpages6-
dc.identifier.eisbn*****************-
dc.utils.revisionSí-
dc.contributor.wosstandardWOS:Vasquez, JL-
dc.contributor.wosstandardWOS:Travieso, CM-
dc.contributor.wosstandardWOS:Alonso, JB-
dc.date.coverdateEnero 2013-
dc.identifier.conferenceidevents120927-
dc.identifier.ulpgcSí-
dc.contributor.buulpgcBU-TEL-
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate08-10-2013-
crisitem.event.eventsenddate11-10-2013-
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.orcid0000-0002-4621-2768-
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.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
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