Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/45491
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Diaz-Cabrera, Moises | en_US |
dc.contributor.author | Ferrer, Miguel A. | en_US |
dc.contributor.author | Morales, Aythami | en_US |
dc.contributor.other | Diaz, Moises | - |
dc.contributor.other | Morales, Aythami | - |
dc.contributor.other | Ferrer, Miguel A | - |
dc.date.accessioned | 2018-11-22T10:15:53Z | - |
dc.date.available | 2018-11-22T10:15:53Z | - |
dc.date.issued | 2015 | en_US |
dc.identifier.issn | 1932-6203 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/45491 | - |
dc.description.abstract | A 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.language | eng | en_US |
dc.relation | "Sintesis de Muestras Biométricas Para Aplicaciones de Salud y Seguridad" | en_US |
dc.relation.ispartof | PLoS ONE | en_US |
dc.source | PLoS ONE [EISSN 1932-6203], v. 10 (e0123254) | en_US |
dc.subject | 3307 Tecnología electrónica | en_US |
dc.subject.other | Hidden Markov models | en_US |
dc.subject.other | Handwriting recognition | en_US |
dc.title | Modeling the lexical morphology of Western handwritten signatures | en_US |
dc.type | info:eu-repo/semantics/Article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1371/journal.pone.0123254 | en_US |
dc.identifier.scopus | 84928808502 | - |
dc.identifier.isi | 000352590300085 | - |
dcterms.isPartOf | Plos One | |
dcterms.source | Plos One[ISSN 1932-6203],v. 10 (4) | |
dc.contributor.authorscopusid | 36760594500 | - |
dc.contributor.authorscopusid | 55636321172 | - |
dc.contributor.authorscopusid | 24476050500 | - |
dc.identifier.issue | e0123254 | - |
dc.relation.volume | 10 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Artículo | en_US |
dc.identifier.wos | WOS:000352590300085 | - |
dc.contributor.daisngid | 2065739 | - |
dc.contributor.daisngid | 31498511 | - |
dc.contributor.daisngid | 233119 | - |
dc.contributor.daisngid | 1418808 | - |
dc.identifier.investigatorRID | L-3637-2013 | - |
dc.identifier.investigatorRID | L-2529-2013 | - |
dc.identifier.investigatorRID | No ID | - |
dc.utils.revision | Sí | en_US |
dc.contributor.wosstandard | WOS:Diaz-Cabrera, M | - |
dc.contributor.wosstandard | WOS:Ferrer, MA | - |
dc.contributor.wosstandard | WOS:Morales, A | - |
dc.date.coverdate | Abril 2015 | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-TEL | en_US |
dc.description.sjr | 1,414 | |
dc.description.jcr | 3,057 | |
dc.description.sjrq | Q1 | |
dc.description.jcrq | Q1 | |
dc.description.scie | SCIE | |
dc.description.erihplus | ERIH PLUS | |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
crisitem.project.principalinvestigator | Ferrer Ballester, Miguel Ángel | - |
crisitem.author.dept | GIR IDeTIC: División de Procesado Digital de Señales | - |
crisitem.author.dept | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.dept | Departamento de Física | - |
crisitem.author.dept | GIR IDeTIC: División de Procesado Digital de Señales | - |
crisitem.author.dept | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.dept | Departamento de Señales y Comunicaciones | - |
crisitem.author.orcid | 0000-0003-3878-3867 | - |
crisitem.author.orcid | 0000-0002-2924-1225 | - |
crisitem.author.parentorg | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.parentorg | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.fullName | Díaz Cabrera, Moisés | - |
crisitem.author.fullName | Ferrer Ballester, Miguel Ángel | - |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
23
checked on Dec 15, 2024
WEB OF SCIENCETM
Citations
19
checked on Dec 15, 2024
Page view(s)
81
checked on Jul 27, 2024
Download(s)
138
checked on Jul 27, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.