会议专题

A Face Recognition Algorithm Using Fast Fractal Face Image Compression

A fast fractal face image compression algorithm based on symmetry and variance by adopting the inherent feature of facial symmetry is proposed. The best match domain blocks are constrained in the symmetrical region for a range block to speed up encoding. After analyzing the features of fractal codes, this paper defines the distance of fractal codes between images. Furthermore, a face recognition algorithm based on fractal codes is proposed. The experimental results on the ORL and YALE face databases show that the recognition rate of the proposed algorithm can achieve 88% and 92%,respectively. The results remain the same as that of the eigenface method and are higher than that of the variance based fractal-encoding method. The value of the coefficient in the algorithm is also analyzed.

Fractal Encoding Facial Symmetry Fractal Codes Face Recognition Eigenface Method

Yan Ma Shun Bao Li

Computer Science Department, Shanghai Normal University Shanghai, 200234, China

国际会议

2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

杭州

英文

305-308

2006-10-12(万方平台首次上网日期,不代表论文的发表时间)