1. accedaCRIS
  2. Publicaciones
  3. Actas de congresos
Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43997
DC FieldValueLanguage
dc.contributor.authorVasquez, Jose L.en_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorAlonso, Jesus B.en_US
dc.date.accessioned2018-11-21T19:27:11Z-
dc.date.available2018-11-21T19:27:11Z-
dc.date.issued2013en_US
dc.identifier.isbn9781479908288en_US
dc.identifier.urihttp://hdl.handle.net/10553/43997-
dc.description.abstractIn this work is proposed a writer identification approach based on graphometrical and forensic features. The proposal replies to an off-line system, where the handwriting is provided before to perform the analysis. An Artificial Neural Network is used as classifier and after the decision fusion module, the system reaches up to 94.6% of success rate for a own database composed by 100 users with 10 samples per each one. © 2013 IEEE.
dc.languagespaen_US
dc.relation.ispartofINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedingsen_US
dc.sourceINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (6632815), p. 219-223en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherBiometrics, Patter Recognition, Artificial Neural Networks, Graphology Techniques, Off-line Handwriting, Writer identificationen_US
dc.titleOff line writer identification based on graphometric parametersen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference17th IEEE International Conference on Intelligent Engineering Systems, INES 2013
dc.identifier.doi10.1109/INES.2013.6632815
dc.identifier.scopus84889682687-
dc.contributor.authorscopusid35766960600-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid24774957200-
dc.description.lastpage223-
dc.identifier.issue6632815-
dc.description.firstpage219-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateDiciembre 2013
dc.identifier.conferenceidevents121490
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate19-06-2013-
crisitem.event.eventsenddate21-06-2013-
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-
Appears in Collections:Actas de congresos
Show simple item record

Google ScholarTM

Check

Altmetric


Share


Export metadata


Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.