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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44073
DC FieldValueLanguage
dc.contributor.authorRomero, Carlos F.en_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.contributor.authorAlonso, Jesús B.en_US
dc.date.accessioned2018-11-21T20:01:32Z-
dc.date.available2018-11-21T20:01:32Z-
dc.date.issued2009en_US
dc.identifier.isbn9780387848136en_US
dc.identifier.issn1876-1100en_US
dc.identifier.urihttp://hdl.handle.net/10553/44073-
dc.description.abstractThis present paper has worked out and implemented a set of geometrical characteristics from observation of handwriting. In particular, this work has developed a proportionality index together with other parameters applied to handwritten words, and they have been used for writer identification. That set of characteristics has been tested with our offline handwriting database, which consists of 40 writers with 10 samples per writer. We have got a success rate of 97%, applying a neural network as classifier.en_US
dc.languagespaen_US
dc.publisher1876-1100en_US
dc.relation.ispartofLecture Notes in Electrical Engineeringen_US
dc.sourceLecture Notes in Electrical Engineering[ISSN 1876-1100],v. 27 LNEE, p. 3-13en_US
dc.subject3307 Tecnología electrónicaen_US
dc.titleHandwriting knowledge based on parameterization for writer identificationen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conferenceEuropean Computing Conference
dc.identifier.doi10.1007/978-0-387-84814-3_1
dc.identifier.scopus78651582939-
dc.contributor.authorscopusid36188690700-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid55636321172-
dc.contributor.authorscopusid24774957200-
dc.description.lastpage13-
dc.description.firstpage3-
dc.relation.volume27 LNEE-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateDiciembre 2009
dc.identifier.conferenceidevents121395
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate25-09-2007-
crisitem.event.eventsenddate27-09-2007-
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.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.orcid0000-0002-2924-1225-
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.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
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