Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms

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Autores: Poh, Norman, Bourlai, Thirimachos, Kittler, Josef, Allano, Lorène, Alonso Fernández, Fernando, Ambekar, Onkar, Baker, John P., Dorizzi, Bernadette, Fatukasi, Omolara, Fiérrez Aguilar, Julián, Ganster, Harald, Ortega García, Javier, Maurer, Donald E., Salah, Albert Ali, Scheidat, Tobias, Vielhauer, Claus
Tipo de recurso: artículo
Fecha de publicación:2009
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/662262
Acceso en línea:http://hdl.handle.net/10486/662262
https://dx.doi.org/10.1109/TIFS.2009.2034885
Access Level:acceso abierto
Palabra clave:Biometric database
Cost-sensitive fusion
Multimodal biometric authentication
Quality-based fusion
Informática
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oai_identifier_str oai:repositorio.uam.es:10486/662262
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network_name_str España
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dc.title.none.fl_str_mv Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
title Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
spellingShingle Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
Poh, Norman
Biometric database
Cost-sensitive fusion
Multimodal biometric authentication
Quality-based fusion
Informática
title_short Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
title_full Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
title_fullStr Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
title_full_unstemmed Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
title_sort Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
dc.creator.none.fl_str_mv Poh, Norman
Bourlai, Thirimachos
Kittler, Josef
Allano, Lorène
Alonso Fernández, Fernando
Ambekar, Onkar
Baker, John P.
Dorizzi, Bernadette
Fatukasi, Omolara
Fiérrez Aguilar, Julián
Ganster, Harald
Ortega García, Javier
Maurer, Donald E.
Salah, Albert Ali
Scheidat, Tobias
Vielhauer, Claus
author Poh, Norman
author_facet Poh, Norman
Bourlai, Thirimachos
Kittler, Josef
Allano, Lorène
Alonso Fernández, Fernando
Ambekar, Onkar
Baker, John P.
Dorizzi, Bernadette
Fatukasi, Omolara
Fiérrez Aguilar, Julián
Ganster, Harald
Ortega García, Javier
Maurer, Donald E.
Salah, Albert Ali
Scheidat, Tobias
Vielhauer, Claus
author_role author
author2 Bourlai, Thirimachos
Kittler, Josef
Allano, Lorène
Alonso Fernández, Fernando
Ambekar, Onkar
Baker, John P.
Dorizzi, Bernadette
Fatukasi, Omolara
Fiérrez Aguilar, Julián
Ganster, Harald
Ortega García, Javier
Maurer, Donald E.
Salah, Albert Ali
Scheidat, Tobias
Vielhauer, Claus
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Informática
Escuela Politécnica Superior
Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002)
dc.subject.none.fl_str_mv Biometric database
Cost-sensitive fusion
Multimodal biometric authentication
Quality-based fusion
Informática
topic Biometric database
Cost-sensitive fusion
Multimodal biometric authentication
Quality-based fusion
Informática
description Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-10-20
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/10486/662262
https://dx.doi.org/10.1109/TIFS.2009.2034885
url http://hdl.handle.net/10486/662262
https://dx.doi.org/10.1109/TIFS.2009.2034885
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 IEEE
publisher.none.fl_str_mv IEEE
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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spelling Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithmsPoh, NormanBourlai, ThirimachosKittler, JosefAllano, LorèneAlonso Fernández, FernandoAmbekar, OnkarBaker, John P.Dorizzi, BernadetteFatukasi, OmolaraFiérrez Aguilar, JuliánGanster, HaraldOrtega García, JavierMaurer, Donald E.Salah, Albert AliScheidat, TobiasVielhauer, ClausBiometric databaseCost-sensitive fusionMultimodal biometric authenticationQuality-based fusionInformáticaPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Automatically verifying the identity of a person by means of biometrics (e.g., face and fingerprint) is an important application in our day-to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several biometric devices are often used. Such a combined system is known as a multimodal biometric system. This paper reports a benchmarking study carried out within the framework of the BioSecure DS2 (Access Control) evaluation campaign organized by the University of Surrey, involving face, fingerprint, and iris biometrics for person authentication, targeting the application of physical access control in a medium-size establishment with some 500 persons. While multimodal biometrics is a well-investigated subject in the literature, there exists no benchmark for a fusion algorithm comparison. Working towards this goal, we designed two sets of experiments: quality-dependent and cost-sensitive evaluation. The quality-dependent evaluation aims at assessing how well fusion algorithms can perform under changing quality of raw biometric images principally due to change of devices. The cost-sensitive evaluation, on the other hand, investigates how well a fusion algorithm can perform given restricted computation and in the presence of software and hardware failures, resulting in errors such as failure-to-acquire and failure-to-match. Since multiple capturing devices are available, a fusion algorithm should be able to handle this nonideal but nevertheless realistic scenario. In both evaluations, each fusion algorithm is provided with scores from each biometric comparison subsystem as well as the quality measures of both the template and the query data. The response to the call of the evaluation campaign proved very encouraging, with the submission of 22 fusion systems. To the best of our knowledge, this campaign is the first attempt to benchmark quality-based multimodal fusion algorithms. In the presence of changing - - image quality which may be due to a change of acquisition devices and/or device capturing configurations, we observe that the top performing fusion algorithms are those that exploit automatically derived quality measurements. Our evaluation also suggests that while using all the available biometric sensors can definitely increase the fusion performance, this comes at the expense of increased cost in terms of acquisition time, computation time, the physical cost of hardware, and its maintenance cost. As demonstrated in our experiments, a promising solution which minimizes the composite cost is sequential fusion, where a fusion algorithm sequentially uses match scores until a desired confidence is reached, or until all the match scores are exhausted, before outputting the final combined score.This evaluation was made possible thanks to the EU funding from the following projects: BioSecure (www.biosecure.info) and Mobio (www.mobioproject.org). The participating teams are supported by their respective national fund bodies: the Dutch BSIK/BRICKS project and the Spanish project TEC2006-13141-C03-03.IEEEDepartamento de Ingeniería InformáticaEscuela Politécnica SuperiorAnálisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002)20092009-10-20research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/662262https://dx.doi.org/10.1109/TIFS.2009.2034885reponame: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:10486/6622622026-06-23T12:46:27Z
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