Combination of Face detection, Face Recognition and Gender Recognition using Evidence Theory

This paper presents an information fusion strategy for digital photograph semi-automatic indexing according to people's identities. The final goal is to help users to annotate their photos in the way of people's identities. We combine the data obtained from face detector, face recognizer and from gender recognizer. Our fusion process is named -FUSINDEX-and, it has been integrated in a Web-based application of photos sharing and browsing. The algorithms of FUSINDEX are based on the evidence theory of Dempster-Shafer. This theory allows us to manage the imprecision and the uncertainty of the data obtained by image analysis tools and, this has been approved by our evaluation results.

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