The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
| Type of publication: | Article |
| Citation: | ortega10:tpami |
| Journal: | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Volume: | 32 |
| Year: | 2010 |
| Pages: | 1097-1111 |
| Publisher: | IEEE Computer Society |
| Address: | Los Alamitos, CA, USA |
| ISSN: | 0162-8828 |
| DOI: | 10.1109/tpami.2009.76 |
| Abstract: | A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence (NoE) 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. Data has been acquired over two acquisition sessions and using different sensors in certain modalities. The three scenarios include a common part of audio and video data (face still images and talking face videos). 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 taking part in the BioSecure NoE. Additional features of the BioSecure Multimodal Database (BMDB) are: balanced gender and age distributions, multimodal realistic scenarios with simple and quick tasks per modality, cross-European diversity (language, face, etc.), availability of demographic data (age, gender, handedness, visual aids, manual worker and English proficiency) and compatibility with other multimodal databases. The novel acquisition conditions of the BMDB database 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. |
| Keywords: | Benchmarking, Biometrics, machine learning |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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