A Basic Study on Multimodal Biometric Person Authentication : Signature, Face and Voice

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The algorithms used to verify personal identity can roughly be classified into the following four categories : static, dynamic, biometric, and physical/knowledge-based. For instance, fingerprints, iris, retina, DNA, face and blood vessels are static and biometric. Algorithms classified as biometric and dynamic include lip movements, body movements and on-line signatures. Schemes that use passwords are static and knowledge-based, whereas methods using IC cards, magnetic cards, and key are physical.This research project investigated the following biometric schemes as the first step toward multimodal authentication :1. online signatureWe have proposed several different algorithms. The most recent one uses Bayesian method with MCMC (Markov Chain Monte Carlo). FRR of 0.93% and FAR of 0.73% were simultaneously achieved.2. faceAfter segmenting a face subimage from a natural image data, nine feature points were esitiamted using Gabor wevelette features together with MCMC. A great improvements over the previous sheme has been observed.2. voiceSeveral algorithms have been tried.Overall fusion of the three methods are still in its infancy and will be a topic of future project.