Bayesian adaptation for user-dependent multimodal biometric authentication

This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may ha...

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Detalles Bibliográficos
Autores: Fiérrez Aguilar, Julián, García-Romero, Daniel, Ortega García, Javier, González Rodríguez, Joaquín
Tipo de recurso: artículo
Fecha de publicación:2005
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/664122
Acceso en línea:http://hdl.handle.net/10486/664122
https://dx.doi.org/10.1016/j.patcog.2005.01.013
Access Level:acceso abierto
Palabra clave:Adaptation
Authentication
Bayes
Biometrics
Fingerprint
Multimodal
Signature
Verification
Telecomunicaciones
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spelling Bayesian adaptation for user-dependent multimodal biometric authenticationFiérrez Aguilar, JuliánGarcía-Romero, DanielOrtega García, JavierGonzález Rodríguez, JoaquínAdaptationAuthenticationBayesBiometricsFingerprintMultimodalSignatureVerificationTelecomunicacionesThis is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition 38.8 (2005): 1317 – 1319, DOI: 10.1016/j.patcog.2005.01.013A novel score-level fusion strategy based on Bayesian adaptation for user-dependent multimodal biometric authentication is presented. In the proposed method, the fusion function is adapted for each user based on prior information extracted from a pool of users. Experimental results are reported using on-line signature and fingerprint verification subsystems on the MCYT real bimodal database. The proposed scheme outperforms both user-independent and user-dependent standard approaches. As compared to non-adapted user-dependent fusion, relative improvements of 80% and 55% are obtained for small and large training set sizes, respectively.This work has been supported by MCYT project TIC2003-08382-C05-01.Elsevier BVDepartamento de Tecnología Electrónica y de las ComunicacionesEscuela Politécnica SuperiorAnálisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002)20052005-08-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/664122https://dx.doi.org/10.1016/j.patcog.2005.01.013reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/6641222026-06-23T12:46:27Z
dc.title.none.fl_str_mv Bayesian adaptation for user-dependent multimodal biometric authentication
title Bayesian adaptation for user-dependent multimodal biometric authentication
spellingShingle Bayesian adaptation for user-dependent multimodal biometric authentication
Fiérrez Aguilar, Julián
Adaptation
Authentication
Bayes
Biometrics
Fingerprint
Multimodal
Signature
Verification
Telecomunicaciones
title_short Bayesian adaptation for user-dependent multimodal biometric authentication
title_full Bayesian adaptation for user-dependent multimodal biometric authentication
title_fullStr Bayesian adaptation for user-dependent multimodal biometric authentication
title_full_unstemmed Bayesian adaptation for user-dependent multimodal biometric authentication
title_sort Bayesian adaptation for user-dependent multimodal biometric authentication
dc.creator.none.fl_str_mv Fiérrez Aguilar, Julián
García-Romero, Daniel
Ortega García, Javier
González Rodríguez, Joaquín
author Fiérrez Aguilar, Julián
author_facet Fiérrez Aguilar, Julián
García-Romero, Daniel
Ortega García, Javier
González Rodríguez, Joaquín
author_role author
author2 García-Romero, Daniel
Ortega García, Javier
González Rodríguez, Joaquín
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Tecnología Electrónica y de las Comunicaciones
Escuela Politécnica Superior
Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002)
dc.subject.none.fl_str_mv Adaptation
Authentication
Bayes
Biometrics
Fingerprint
Multimodal
Signature
Verification
Telecomunicaciones
topic Adaptation
Authentication
Bayes
Biometrics
Fingerprint
Multimodal
Signature
Verification
Telecomunicaciones
description This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition 38.8 (2005): 1317 – 1319, DOI: 10.1016/j.patcog.2005.01.013
publishDate 2005
dc.date.none.fl_str_mv 2005
2005-08-01
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/664122
https://dx.doi.org/10.1016/j.patcog.2005.01.013
url http://hdl.handle.net/10486/664122
https://dx.doi.org/10.1016/j.patcog.2005.01.013
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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