In this paper, an algorithm of face recognition based on the active shape model (ASM) and Gabor features of key
points was proposed. Firstly AdaBoost algorithm was used to detect the face region in an image. Then the ASM was
used to localize the key feature points in the detected facial region. The Gabor features of these points were extracted.
Finally the features were classified using support vector machines (SVM). Preliminary experiments on ORL database
show promising results of the proposed algorithm. This algorithm can reduce the computational cost efficiently and
obtain the features that contribute to classification of faces.