In this paper we describe the person authentification system SESAM. Person identification and verification still is a very difficult task. Using one biometric feature, i. e. the photograph or the sound of the voice, leads to good results, but there is no reliable way to verify the classification. In order to reach robust identification and verification we are combining three different biometric cues. These cues are dynamic, i. e. the sound of the voice and the lip motion, and static, i. e. the fixed image of the face. Each branch is preprocessed and classified separately and the results are combined, e. g. in a 2-from-3 manner. The recognition of persons may be used for pure identification or can be varied to a verification system. For both cases we have done a field test to show that this approach leads to a reliable person authentification system
We present an approach to combine the optical motion analysis of the lips and acoustic voice analysis of defined single words for identifying the people speaking. Due to the independence of the different data sources, a higher reliability of the results in comparison with simple optical lip reading is observed. The classification of the preprocessed data is done by synergetic computers, which have recently attracted increasing attention as robust algorithms for solving industrial classification tasks. Special potential of synergetic computers lies in their close mathematical similartiy to self-organized phenomena in nature. Therefore they present a clear perspective for hardware realizations. We propose that the combination of motion and voice analysis offers a possibility for realizing robust access control systems
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.