DCT-based Approach to Face Painting Recognition

This paper presents an automatic face painting recognition system. It adopts a DCT-based feature extraction algorithm, and combines the global information and the local information of the apparatus of the face. Finally a nearest neighbor classifier (NNC) is used to classify the face painting patterns. The experiment achieves a correct recognition accuracy of 94.3%.