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Issue No. 06 - June (2010 vol. 32)
ISSN: 0162-8828
pp: 1097-1111
Ming W.R. Ng , University of Kent, Canterbury
Alejandro Frangi , Pompeu Fabra University, Barcelona
Sonia Garcia-Salicetti , TELECOM & Management SudParis, Evry
Javier Ortega-Garcia , Universidad Autonoma de Madrid, Madrid
Arman Savran , Bogazici University, Turkey
Andrzej Drygajlo , Swiss Federal Institute of Technology, Lausanne
Federico M. Sukno , Pompeu Fabra University, Barcelona
Jonas Richiardi , Swiss Federal Institute of Technology, Lausanne and PatternLab
Michael Fairhurst , University of Kent, Canterbury
Enrique Otero-Muras , Universidad de Vigo, Vigo
Carmen Garcia-Mateo , Universidad de Vigo, Vigo
Linda Brodo , University of Sassari, Italy
Josef Kittler , University of Surrey, Guildford
Lorene Allano , Commissariat à l'Energie Atomique
Joaquin Gonzalez-Rodriguez , Universidad Autonoma de Madrid, Madrid
Fernando Alonso-Fernandez , Universidad Autonoma de Madrid, Madrid
Bernadette Dorizzi , TELECOM & Management SudParis, Evry
Elisardo Gonzalez-Agulla , Universidad de Vigo, Vigo
Javier Galbally , Universidad Autonoma de Madrid, Madrid
Lale Akarun , Bogazici University, Turkey
Jose-Luis Alba-Castro , Universidad de Vigo, Vigo
Andreas Humm , University of Fribourg
Jean Hennebert , Univeristy of Applied Sciences Western Switzerland, Sierre and University of Fribourg
Harald Ganster , Joanneum Research, Graz
Farzin Deravi , University of Kent, Canterbury
Norman Poh , University of Surrey, Guildford
Manuel R. Freire , Universidad Autonoma de Madrid, Madrid
Bao Ly-Van , TELECOM & Management SudParis, Evry
Sri-Kaushik Pavani , Pompeu Fabra University, Barcelona
Julian Fierrez , Universidad Autonoma de Madrid, Madrid
Massimo Tistarelli , University of Sassari, Italy
Thirimachos Bourlai , University of Houston, Houston
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.
Multimodal, biometrics, database, evaluation, performance, benchmark, face, voice, speaker, signature, fingerprint, hand, iris.
Ming W.R. Ng, Alejandro Frangi, Sonia Garcia-Salicetti, Javier Ortega-Garcia, Arman Savran, Andrzej Drygajlo, Federico M. Sukno, Jonas Richiardi, Michael Fairhurst, Enrique Otero-Muras, Carmen Garcia-Mateo, Linda Brodo, Josef Kittler, Lorene Allano, Joaquin Gonzalez-Rodriguez, Fernando Alonso-Fernandez, Bernadette Dorizzi, Elisardo Gonzalez-Agulla, Javier Galbally, Lale Akarun, Jose-Luis Alba-Castro, Andreas Humm, Jean Hennebert, Harald Ganster, Farzin Deravi, Norman Poh, Manuel R. Freire, Bao Ly-Van, Sri-Kaushik Pavani, Julian Fierrez, Massimo Tistarelli, Thirimachos Bourlai, "The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 32, no. , pp. 1097-1111, June 2010, doi:10.1109/TPAMI.2009.76
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