Face and hand gesture recognition algorithm based on wavelet transforms and principal component analysis

This work presents a novel algorithm using wavelet transform and principal component analysis for face and hand gesture recognition on digital images. The testing results of the proposed algorithm are presented. Based on the testing results, it is shown that the proposed algorithm gives an effective performance of face recognition and hand gesture recognition on digital images. In this paper, we also propose a complex algorithm based on Viola-Jones method, wavelet transform and principal component analysis for multiple face detection and recognition in video sequence. The examples of multiple face detection and recognition in video sequence are resulted. The experimental results show that the proposed complex algorithm is robust in multiply detecting and recognizing faces in video sequence in real-time and competes with state-of-the-art algorithms.