The Contourlet Transfrom and SVM Classification for Face Recognition

摘要

In this paper, we introduce a face recognition approach based on the contourlet transform and support vector machine, which takes technological advantages of both support vector machine and the contourlet transform for feature extraction. The contributions of this paper include the following aspects: (1) support vector machine is successfully applied to face recognition by using the contourlet transform as the face representation in face image processing phase; (2) the contourlet transform are used to represent a whole face in a computable dimensional space. The new method was evaluated with many experiments, and the experimental results show that our face recognition algorithm is effective and competitive.