关键词: 人脸识别, 主动形状模型, 特征提取, Procrustes方法

Abstract: A study is made on the method used for the normalization of human face’s Point Distribution Model（PDM） in Active Shape Model（ASM），an improved method for the normalization of human face’s PDM is proposed based on a geometric transformation.This approach makes full use of the geometric characteristics of human faces，so it can eliminate the“non-shape” factors in PDM better.Further more，this method normalizes all the models one-time without iteration，so this approach saves computing time than the old method.At last，it maintains the accuracy of the original method.These statements are verified by the experiments conducted on the ORL face database.

Key words: face recognition, Active Shape Models（ASM）, feature extraction, Procrustes method