A Face Recognition Algorithm Based on ASM and Gabor Features of Key Points

摘要

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.