Face Recognition Based on Manifold Learning and Rényi Entropy

摘要：

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 -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.

关键词： face recognition manifold learning Rényi Entropy

作者: Wenming Cao Li Ning

作者单位: Intelligent Information Processing Key Laboratory ShenZhen University, ShenZhen 518060, China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）