Ortega-Garcia, J. and Fierrez, J. and Alonso-Fernandez, F. and Galbally, J. and Freire, M.R. and Gonzalez-Rodriguez, J. and Garcia-Mateo, C. and Alba-Castro, J-L and Gonzalez-Agulla, E. and Otero-Muras, E. and Garcia-Salicetti, S. and Allano, L. and Ly-van, B. and Dorizzi, B. and Kittler, J. and Bourlai, T. and Poh, N. and Deravi, F. and Ng, M.W.R and Fairhurst, M.C. and Hennebert, J. and Humm, A. and Tistarelli, M. and Brodo, L. and Richiardi, J. and Drygajlo, A. and Ganster, H. and Sukno, F.M. and Pavani, S.-K. and Frangi, A. and Akarun, L. and Savran, A. (2009) The Multi-Scenario Multi-Environment BioSecure Multimodal Database (BMDB). IEEE Transactions on Pattern Analysis and Machine Intelligence, 32 (4). pp. 1097-1111. ISSN 0162-8828.
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| Official URL http://dx.doi.org/10.1109/TPAMI.2009.76 |
Abstract
A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It comprises more than 600 individuals acquired simultaneously in three scenarios: i) over the Internet, ii) in an office environment with desktop PC, and iii) in indoor/outdoor environments with mobile portable hardware. The three scenarios include a common part of audio/video data. Also, signature and fingerprint data has been acquired both with desktop PC and mobile portable hardware. Additionally, hand and iris data was 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 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.
| Item Type: | Article |
|---|---|
| Uncontrolled keywords: | Multimodal, biometrics, database, evaluation, performance, benchmark, face, voice, speaker, signature, fingerprint, hand, iris. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.B56 Biometrics |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering |
| Depositing User: | Jenny Harries |
| Date Deposited: | 20 Nov 2009 12:04 |
| Last Modified: | 04 Oct 2012 10:04 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/23305 (The current URI for this page, for reference purposes) |
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