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Issue No.06 - June (2010 vol.32)
pp: 1097-1111
Javier Ortega-Garcia , Universidad Autonoma de Madrid, Madrid
Julian Fierrez , Universidad Autonoma de Madrid, Madrid
Fernando Alonso-Fernandez , Universidad Autonoma de Madrid, Madrid
Javier Galbally , Universidad Autonoma de Madrid, Madrid
Manuel R. Freire , Universidad Autonoma de Madrid, Madrid
Joaquin Gonzalez-Rodriguez , Universidad Autonoma de Madrid, Madrid
Carmen Garcia-Mateo , Universidad de Vigo, Vigo
Jose-Luis Alba-Castro , Universidad de Vigo, Vigo
Elisardo Gonzalez-Agulla , Universidad de Vigo, Vigo
Enrique Otero-Muras , Universidad de Vigo, Vigo
Sonia Garcia-Salicetti , TELECOM & Management SudParis, Evry
Lorene Allano , Commissariat à l'Energie Atomique
Bao Ly-Van , TELECOM & Management SudParis, Evry
Bernadette Dorizzi , TELECOM & Management SudParis, Evry
Josef Kittler , University of Surrey, Guildford
Thirimachos Bourlai , University of Houston, Houston
Norman Poh , University of Surrey, Guildford
Farzin Deravi , University of Kent, Canterbury
Ming W.R. Ng , University of Kent, Canterbury
Michael Fairhurst , University of Kent, Canterbury
Jean Hennebert , Univeristy of Applied Sciences Western Switzerland, Sierre and University of Fribourg
Andreas Humm , University of Fribourg
Massimo Tistarelli , University of Sassari, Italy
Linda Brodo , University of Sassari, Italy
Jonas Richiardi , Swiss Federal Institute of Technology, Lausanne and PatternLab
Andrzej Drygajlo , Swiss Federal Institute of Technology, Lausanne
Harald Ganster , Joanneum Research, Graz
Federico M. Sukno , Pompeu Fabra University, Barcelona
Sri-Kaushik Pavani , Pompeu Fabra University, Barcelona
Alejandro Frangi , Pompeu Fabra University, Barcelona
Lale Akarun , Bogazici University, Turkey
Arman Savran , Bogazici University, Turkey
ABSTRACT
A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware. The three scenarios include a common part of audio/video data. Also, signature and fingerprint data have been acquired both with desktop PC and mobile portable hardware. Additionally, hand and iris data were acquired in the second scenario using desktop PC. Acquisition has been conducted by 11 European institutions. Additional features of the BioSecure Multimodal Database (BMDB) are: two acquisition sessions, several sensors in certain modalities, balanced gender and age distributions, multimodal realistic scenarios with simple and quick tasks per modality, cross-European diversity, availability of demographic data, and compatibility with other multimodal databases. The novel acquisition conditions of the BMDB allow us to perform new challenging research and evaluation of either monomodal or multimodal biometric systems, as in the recent BioSecure Multimodal Evaluation campaign. A description of this campaign including baseline results of individual modalities from the new database is also given. The database is expected to be available for research purposes through the BioSecure Association during 2008.
INDEX TERMS
Multimodal, biometrics, database, evaluation, performance, benchmark, face, voice, speaker, signature, fingerprint, hand, iris.
CITATION
Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R. Freire, Joaquin Gonzalez-Rodriguez, Carmen Garcia-Mateo, Jose-Luis Alba-Castro, Elisardo Gonzalez-Agulla, Enrique Otero-Muras, Sonia Garcia-Salicetti, Lorene Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming W.R. Ng, Michael Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrzej Drygajlo, Harald Ganster, Federico M. Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran, "The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.32, no. 6, pp. 1097-1111, June 2010, doi:10.1109/TPAMI.2009.76
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