Automatic face identification

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Abstract
This paper presents the discussion and results in the field of automatic face identification. The implementation possibilities are presented, and the retained choices are motivated. The objective is to identify the person whose image is available from a grey-level camera. The approach is to extract characteristics that will be classified according to extracted characteristics of a database. One section is devoted to the importance of a proper acquisition method, based on profile images. Several sections are more technical and deal with the profile extraction, the computation of the curvature and the way characteristics are derived. This is naturally followed by practical results. Finally, some prespectives are listed to let the present work be integrated in a practical application where several hundred people must be identified.
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