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Sensor fusion for robust identification of persons. A field test

: Wagner, T.; Dieckmann, U.


IEEE Signal Processing Society:
ICIP 1995. International Conference on Image Processing. Proceedings. Vol. 3
Los Alamitos: IEEE Computer Society Press, 1995
ISBN: 0-8186-7310-9
International Conference on Image Processing (ICIP) <1995, Washington/DC>
Fraunhofer IIS A ( IIS) ()
multi-sensorial identification; person identification; Personenerkennung; sensor fusion; synergetic computer; synergetics; synergetischer Computer; Synergie

We have recently presented an approach to combine optical lip motion analysis and acoustic voice analysis in order to identify 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 was observed. From this proposal, a system prototype has emerged. This improved setup demonstrated here has shown promising results, with a false recognition rate of 0 per cent for both surnames and entry words on a sample of 101 persons. Rejection rates of 8 per cent and 14 per cent respectively have been observed. For performing the recognition, the person to be identified has to speak a single word, which can either be specific of the person (e. g. surname), or be one identical entry word for all persons. Meanwhile, a field test at the entrance of our Institute has been started, which will last for a few months. In this paper, we demonstrate first results of this field test. We propose that the combinat ion of motion and voice analysis offers a possibility for realizing robust access control systems.