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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42440
DC FieldValueLanguage
dc.contributor.authorKutzner, Tobiasen_US
dc.contributor.authorDietze, Marioen_US
dc.contributor.authorBönninger, Ingriden_US
dc.contributor.authorTravieso-González, Carlos M.en_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorSingh, Anushikhaen_US
dc.date.accessioned2018-11-14T09:14:28Z-
dc.date.available2018-11-14T09:14:28Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-4673-9197-9en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/42440-
dc.description.abstractIn this Article we present a solution to verify user with safe handwritten password. To achieve the best possible results we use 39 parameters beside some statistical parameters we use primarily time, speed and relation parameter. For the tests a database with 32 users was provided. Each user wrote safe password in one session 12 times. For the FAR (false acceptance rate) test we work with 3 forgeries per user. The best result of 100% success rate for a correct classification, we reached with the Bayes Net classifier. The best result of 3.13% false accepted rate is reached with Bayes Net classifier too.en_US
dc.languageengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.source3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016 (7566777), p. 650-655en_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherData miningen_US
dc.subject.otherHandwritingen_US
dc.subject.otherSafe passworden_US
dc.subject.otherVerificationen_US
dc.titleOnline handwriting verification with safe password and increasing number of featuresen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016en_US
dc.identifier.doi10.1109/SPIN.2016.7566777en_US
dc.identifier.scopus84991608416-
dc.identifier.isi000389587900127-
dc.contributor.authorscopusid55925925200-
dc.contributor.authorscopusid57191579928-
dc.contributor.authorscopusid56395430400-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid55885045200-
dc.description.lastpage655en_US
dc.description.firstpage650en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid6823872-
dc.contributor.daisngid20487594-
dc.contributor.daisngid7765108-
dc.contributor.daisngid265761-
dc.contributor.daisngid35026383-
dc.contributor.daisngid802071-
dc.description.numberofpages6en_US
dc.identifier.eisbn978-1-4673-9198-6-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Kutzner, T-
dc.contributor.wosstandardWOS:Dietze, M-
dc.contributor.wosstandardWOS:Bonninger, I-
dc.contributor.wosstandardWOS:Travieso, CM-
dc.contributor.wosstandardWOS:Dutta, MK-
dc.contributor.wosstandardWOS:Singh, A-
dc.date.coverdateSeptiembre 2016en_US
dc.identifier.conferenceidevents121006-
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate11-02-2016-
crisitem.event.eventsenddate12-02-2016-
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.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
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