Please use this identifier to cite or link to this item:
https://accedacris.ulpgc.es/handle/10553/45496
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Diaz-Cabrera, Moises | en_US |
dc.contributor.author | Morales, Aythami | en_US |
dc.contributor.author | Ferrer, Miguel A. | en_US |
dc.date.accessioned | 2018-11-22T10:18:07Z | - |
dc.date.available | 2018-11-22T10:18:07Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.isbn | 9789814579636 | - |
dc.identifier.isbn | 9789814579629 | |
dc.identifier.uri | https://accedacris.ulpgc.es/handle/10553/45496 | - |
dc.description.abstract | This paper presents a review of the most recent advances in static/offline signature recognition using Computer Vision and also identifies some new trends and research opportunities such as the generation of synthetic signatures, time drifting, forger and disguise identification and multilingual scenarios. We conclude that the increasing collaboration between the Pattern Recognition community and Forensic Handwriting Experts will lead to future static handwriting signature milestones. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Advances in Digital Handwritten Signature Processing: A Human Artefact for E-Society | en_US |
dc.source | Advances in Digital Handwritten Signature Processing: A Human Artefact for E-Society, p. 111-122 | en_US |
dc.subject.other | Verification | en_US |
dc.subject.other | Biometrics | en_US |
dc.subject.other | Handwriting recognition | en_US |
dc.title | Emerging issues for static handwritten signature biometrics | en_US |
dc.type | info:eu-repo/semantics/bookPart | en_US |
dc.type | Book | en_US |
dc.identifier.doi | 10.1142/9789814579636_0009 | |
dc.identifier.scopus | 85011779258 | - |
dc.contributor.authorscopusid | 36760594500 | - |
dc.contributor.authorscopusid | 24476050500 | - |
dc.contributor.authorscopusid | 55636321172 | - |
dc.description.lastpage | 122 | en_US |
dc.description.firstpage | 111 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Capítulo de libro | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Enero 2014 | |
dc.identifier.ulpgc | Sí | es |
item.fulltext | Sin texto completo | - |
item.grantfulltext | none | - |
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: | Capítulo de libro |
SCOPUSTM
Citations
13
checked on Mar 30, 2025
Page view(s)
134
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.