Vérification de l'identité par des données biométriques

This article presents the main idea of a Biometric Authentication System (BAS). We will briefly describe BIOMET database, constructed for this purpose and composed of five modalities: face, hand-shape, fingerprint, online signature and speech. We have used two user-friendly biometric modalities of this database to construct the unimodal the signature modality was fused with clean and noisy speech, at two different levels of degradation. We have at our disposal 68 real persons, divided into two equal bases BAF and BTF to train and test the unimodal systems as well as the fusion systems. The performances of the systems are evaluated on 20 different couples (BAF, BTF), randomly chosen from 68 original real persons. In the non noisy case, we have dropped down the total error rate to 2.21% from 7.65% for the best unimodal system.