Aiming at the problem of face feature classification, this paper proposes a new face classification algorithm based on Active Shape Model(ASM) and K-nearest neighbor algorithm. It extracts feature points of face by ASM algorithm, normalizes all feature points, and computes Hausdorff distance between feature points and every sample of each class. The face is classified by K-nearest neighbor algorithm with the Hausdorff distance computed. Experimental results show that the algorithm has high classification accuracy and speed, and it is easy to realize.

Filename	Size	Update
基于ASM和K近邻算法的人脸脸型分类_张倩.caj	1381314	2018-03-19

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