Face recognition based on manifold learning and Rényi entropy

Wen-Ming Cao, Ning Li

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DOI: 10.4236/ns.2010.21007                

Abstract

Though manifold learning has been success-fully applied in wide areas, such as data visu-alization, dimension reduction and speech rec-ognition; 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 ex-periments obtain the satisfying results.

Keywords

Manifold Learning; Rényi Entropy; Face Recognition

Conflicts of Interest

The authors declare no conflicts of interest.

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