Face recognition based on manifold learning and Rényi entropy
Wen-Ming Cao, Ning Li
DOI: 10.4236/ns.2010.21007   PDF    HTML     5,444 Downloads   10,705 Views   Citations


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.

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Cao, W. and Li, N. (2010) Face recognition based on manifold learning and Rényi entropy. Natural Science, 2, 49-53. doi: 10.4236/ns.2010.21007.

Conflicts of Interest

The authors declare no conflicts of interest.


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