关键词: 人脸定位, 人脸识别, 自适应, 主成分分析（PCA）, 局部奇异值分解（SVD）

Abstract: Most existing face recognition algorithms are based on standard face database. There is only a little face recognition research about complex background. This paper proposes a new face location and recognition algorithm to solve the problem. Face location is based on adaptive skin color segmentation. By taking similar skin color into consideration it can achieve face location of pictures under complex background. Face recognition uses area SVD to advance the PCA method, improves the recognition rate and speed. Through the test of self-face database and ORL database, the efficiency and robustness of the algorithm have been verified. What is more important, the new algorithm achieves face recognition of pictures under complex background.

Key words: face location, face recognition, adaptive, Principal Component Analysis（PCA）, area Singular Value Decomposition（SVD）