关键词: 小波变换, 主元分析, 三阶近邻分类, 人脸识别, 仿真

Abstract: There are large numbers of face recognition algorithms and face databases，and how to select classified algorithms and training sets has become a sixty-four-dollar question of face recognition at present.In allusion to the face recognition algorithms of wave transform and principal component analysis，this paper demonstrates that the 3-neighbor classification is propitious to Euclid classification，and that selecting preceding 8 images of ORL as training sets is propitious to other instances through large numbers of simulative experimentation on the platform of Matlab6.5.The experiment educes eigen-face databases of best instances，and the linearity expression of the test images using average face images and eigen-face images.It has high applicable worthiness at the domain of face recognition.

Key words: wave transform, principal component analysis, 3-neighbor classification, face recognition, simulation