Abstract
In the present 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 goods 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.
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References
Brunelli, R. and Poggio, T. (1993), Face Recognition: Features versus Templates, IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(10):1042–1052.
Dieckmann, U., Plankensteiner, P. and Wagner, T. (1995), Multisensory Pattern Analysis for Person Identification with Synergetic Computers, International Workshop on Automated Face-and Gesture-Recognition, Zrich, Switzerland.
Wagner, T., and Dieckmann, U. (1995), Sensor Fusion for Robust Identification of Persons: A Field Test, IEEE ICIP 95, Washington, USA.
Dieckmann, U. (1993), Personenerkennung mit einem Synergetischen Computer, Diplomarbeit, Friedrich-Alexander Universitt Erlangen-Nrnberg, Erlangen, Germany.
Horn, B. and Schunk, B. (1981), Determining Optical Flow, Artificial Intelligence, vol. 17. ppf. 185.
Schamburger, R. (1996), Entwicklung eines robusten Verfahrens zur Extraktion von Lippenbewegungen aus Videosequenzen, Diplomarbeit, Friedrich-Alexander Universitt Erlangen-Nrnberg, Erlangen, Germany.
R.W. Frischholz, F.G. Bbel, K.P. Spinnler, Face Recognition with the Synergetic Computer, “Proceedings of the First International Conference on Applied Synergetic and Synergetic Engineering”, pp. 100–106, Erlangen, 1994.
H. Haken, Synergetics. An Introduction, 3rd Edition, Berlin, 1993.
H. Haken, Synergetic Computers and Cognition. A Top-Down Approach to Neural Nets., Berlin, 1991.
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© 1997 Springer-Verlag Berlin Heidelberg
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Dieckmann, U., Plankensteiner, P., Schamburger, R., Fröba, B., Meller, S. (1997). SESAM: A biometric person identification system using sensor fusion. In: Bigün, J., Chollet, G., Borgefors, G. (eds) Audio- and Video-based Biometric Person Authentication. AVBPA 1997. Lecture Notes in Computer Science, vol 1206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0016009
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DOI: https://doi.org/10.1007/BFb0016009
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