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Face recognition based on manifold learning and Rényi entropy

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DOI: 10.4236/ns.2010.21007    4,794 Downloads   9,334 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

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.

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