Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45491
DC FieldValueLanguage
dc.contributor.authorDiaz-Cabrera, Moisesen_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.contributor.authorMorales, Aythamien_US
dc.contributor.otherDiaz, Moises-
dc.contributor.otherMorales, Aythami-
dc.contributor.otherFerrer, Miguel A-
dc.date.accessioned2018-11-22T10:15:53Z-
dc.date.available2018-11-22T10:15:53Z-
dc.date.issued2015en_US
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://hdl.handle.net/10553/45491-
dc.description.abstractA handwritten signature is the final response to a complex cognitive and neuromuscular process which is the result of the learning process. Because of the many factors involved in signing, it is possible to study the signature from many points of view: graphologists, forensic experts, neurologists and computer vision experts have all examined them. Researchers study written signatures for psychiatric, penal, health and automatic verification purposes. As a potentially useful, multi-purpose study, this paper is focused on the lexical morphology of handwritten signatures. This we understand to mean the identification, analysis, and description of the signature structures of a given signer. In this work we analyze different public datasets involving 1533 signers from different Western geographical areas. Some relevant characteristics of signature lexical morphology have been selected, examined in terms of their probability distribution functions and modeled through a General Extreme Value distribution. This study suggests some useful models for multi-disciplinary sciences which depend on handwriting signatures.en_US
dc.languageengen_US
dc.relation.ispartofPLoS ONEen_US
dc.sourcePLoS ONE,v. 10 (e0123254)en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherHidden Markov modelsen_US
dc.subject.otherHandwriting recognitionen_US
dc.titleModeling the lexical morphology of Western handwritten signaturesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1371/journal.pone.0123254
dc.identifier.scopus84928808502-
dc.identifier.isi000352590300085-
dcterms.isPartOfPlos One
dcterms.sourcePlos One[ISSN 1932-6203],v. 10 (4)
dc.contributor.authorscopusid36760594500-
dc.contributor.authorscopusid55636321172-
dc.contributor.authorscopusid24476050500-
dc.identifier.issuee0123254-
dc.relation.volume10-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000352590300085-
dc.contributor.daisngid2065739-
dc.contributor.daisngid31498511
dc.contributor.daisngid233119-
dc.contributor.daisngid1418808-
dc.identifier.investigatorRIDL-3637-2013-
dc.identifier.investigatorRIDL-2529-2013-
dc.identifier.investigatorRIDNo ID-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Diaz-Cabrera, M
dc.contributor.wosstandardWOS:Ferrer, MA
dc.contributor.wosstandardWOS:Morales, A
dc.date.coverdateAbril 2015
dc.identifier.ulpgces
dc.description.sjr1,414
dc.description.jcr3,057
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptFísica-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptSeñales y Comunicaciones-
crisitem.author.orcid0000-0003-3878-3867-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameDíaz Cabrera, Moisés-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
Appears in Collections:Artículos
Thumbnail
Adobe PDF (901,96 kB)
Show simple item record

SCOPUSTM   
Citations

19
checked on Sep 19, 2021

WEB OF SCIENCETM
Citations

15
checked on Sep 19, 2021

Page view(s)

30
checked on Jul 10, 2021

Download(s)

41
checked on Jul 10, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



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