Lale Akarun, Bernadette Dorizzi, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez, Bao Ly-Van, Sonia Garcia-Salicetti, Arman Savran, Harald Ganster, M.R. Freire, Jonas Richiardi, Josef Kittler, Andrezj Drygajlo, Javier Galbally, Massimo Tistarelli, Sri-Kaushik Pavani, Jean Hennebert, J.L. Alba-Castro, Fernando Alonso-Fernandez, Linda Brodo, Thirimachos Bourlai, Lorene Allano, Enrique Otero-Muras, Elisardo González-Agulla, Michael Fairhurst, Alejandro F. Frangi, Ming Ng, Julian Fierrez, Norman Poh, Farzin Deravi, Carmen García-Mateo, Federico M. Sukno, Andreas Humm, Biometric Recognition Group (Universidad Autonoma de Madrid) (ATVS), Departamento de Teoría de la Señal y Comunicaciones (Universidad de Vigo ) (TSC), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey (UNIS), Lane Department of Computer Science and Electrical Engineering [Virginia] (LCSEE), West Virginia University [Morgantown], School of Engineering and Digital Art (University of Kent) (EDA), Department of Informatics (University of Fribourg), Computer Vision Laboratory (Facoltà di Architettura ad Alghero, Università degli studi di Sassari), Speech Processing and Biometrics Group (Laboratory of IDIAP, Signal Processing Institute, SwissFederal Institute of Technology ) (GTPB), Institute of Digital Image Processing (Joanneum Research) (DIP), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Instituto de Salud Carlos III [Madrid] (ISC)-ministerio de ciencia e innovacion, Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra [Barcelona] (UPF), Department of Computer Engineering [Bogazici], Boǧaziçi üniversitesi = Boğaziçi University [Istanbul], Signal and Image Processing Laboratory (Bogazici University) (BUSIM), Department of Electrical and Electronics Engineering (Bogazici University), Universitat Pompeu Fabra, and Boğaziçi University [Istanbul]
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, Published at IEEE Transactions on Pattern Analysis and Machine Intelligence journal