The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

Abstract

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.

Impact of time variability in off-line writer identification and verification

“…We have observed that the time separation between samples being compared has impact on the recognition rates, but once that a specific minimum time between samples has passed (about 2 months), error rates are not apparently worsened with an increased time span between reference and test samples (up to 4 months). This is of course a data-driven statement that should be also studied and validated for longer periods of time (interestingly, new efforts in multimodal database collection have recently enabled this kind of studies for time spans up to a couple of years [15]). The local recognition approach always works better than the global one, both using signatures and texts, and it is less degraded than the global one when time separation between samples is increased.…”

Review on Face, Ear and Signature for Human Identification

“…In the stage of decision fusion of ear and profile face is carried out using the combination methods of Product, Sum and Median rules according to the Bayesian theory and a modified Vote rule for two classifiers is obtainable. The results of experiment show that the recognition rate (RR) is higher than that of the recognition adopting the single feature, and that the recognition range is larger than that of both unimodality [10] Multimodal biometric database (MBD) considered and acquire within European BioSecure set of connections of distinction exists. It was comprised of 600 individuals obtain simultaneously in 3 scenarios:…”

Multimodal Biometric Fusion: A Study on Vulnerabilities to Indirect Attacks

“…The experiments are carried out on the face and iris subcorpora included in the Desktop Dataset of the Multimodal Biosecure Database [17], which comprises voice, fingerprints, face, iris, signature and hand of 210 users, captured in two time-spaced acquisition sessions. This database was acquired thanks to the joint effort of 11 European institutions and has become one of the standard benchmarks for biometric performance and security evaluations.…”