TITLE:
Face recognition based on manifold learning and Rényi entropy
AUTHORS:
Wen-Ming Cao, Ning Li
KEYWORDS:
Manifold Learning; Rényi Entropy; Face Recognition
JOURNAL NAME:
Natural Science,
Vol.2 No.1,
January
28,
2010
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.