Face recognition based on manifold learning and Rényi entropy
نویسندگان
چکیده
Though manifold learning has been successfully applied in wide areas, such as data visualization, dimension reduction and speech recognition; few researches have been done with the combination of the information theory and the geometrical learning. In this paper, we carry out a bold exploration in this field, raise a new approach on face recognition, the intrinsic α-Rényi entropy of the face image attained from manifold learning is used as the characteristic measure during recognition. The new algorithm is tested on ORL face database, and the experiments obtain the satisfying results.
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تاریخ انتشار 2014