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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43950
DC FieldValueLanguage
dc.contributor.authorTravieso González, Carlos Manuel-
dc.contributor.authorAlonso, Jesus B.-
dc.contributor.authorVasquez, Jose L.-
dc.contributor.authorDutta, Malay Kishore-
dc.contributor.authorSingh, Anushikha-
dc.date.accessioned2018-11-21T19:06:09Z-
dc.date.available2018-11-21T19:06:09Z-
dc.date.issued2017-
dc.identifier.isbn9781509027972-
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/43950-
dc.description.abstractThis work present new parameters based on biometrie handwritten information for the writer identification. The feature extraction is developed by new algorithms based on image processing techniques. The handwritten parameters will be classified by artificial neural network and fusion strategy in order to increase the accuracy. After experiments, and using a dataset composed by 100 writers, this proposal reaches an accuracy of 82.7%-
dc.languagespa-
dc.relation.ispartof2017 4th International Conference on Signal Processing and Integrated Networks, SPIN 2017-
dc.source2017 4th International Conference on Signal Processing and Integrated Networks, SPIN 2017 (8050015), p. 572-577-
dc.subject3307 Tecnología electrónica-
dc.subject.otherWriting , Feature extraction , Signal processing , Signal processing algorithms , Artificial neural networks , Proposals , Indexes, handwritten identification , image processing , pattern recognition-
dc.titleApplying forensic features on writer identification-
dc.typeinfo:eu-repo/semantics/conferenceObject-
dc.typeConferenceObject-
dc.relation.conference4th International Conference on Signal Processing and Integrated Networks, SPIN 2017-
dc.identifier.doi10.1109/SPIN.2017.8050015-
dc.identifier.scopus85032795159-
dc.identifier.isi000426076800112-
dc.contributor.authorscopusid57196462914-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid35766960600-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid55885045200-
dc.description.lastpage577-
dc.identifier.issue8050015-
dc.description.firstpage572-
dc.investigacionIngeniería y Arquitectura-
dc.type2Actas de congresos-
dc.contributor.daisngid265761-
dc.contributor.daisngid29084685-
dc.contributor.daisngid1936568-
dc.contributor.daisngid35026383-
dc.contributor.daisngid802071-
dc.description.numberofpages6-
dc.identifier.eisbn978-1-5090-2797-2-
dc.utils.revisionNo-
dc.contributor.wosstandardWOS:Travieso, CM-
dc.contributor.wosstandardWOS:Alonso, JB-
dc.contributor.wosstandardWOS:Vasquez, JL-
dc.contributor.wosstandardWOS:Dutta, MK-
dc.contributor.wosstandardWOS:Singh, A-
dc.date.coverdateSeptiembre 2017-
dc.identifier.conferenceidevents121086-
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate02-02-2017-
crisitem.event.eventsenddate03-02-2017-
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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