关键词: 人脸识别, 定向二值编码, Haar小波变换, 多数投票

Abstract: This paper presents a Directional Binary Code（DBC） method based on Haar wavelet transformation and majority voting strategy, termed as Voting Haar Wavelet DBC（V-HaarDBC）. Firstly, the noise is eliminated by Haar wavelet transformation. And then the feature fetch is based on the DBC method. Finally the majority voting strategy is used for classification. This method not only solves the problem of high-dimensional feature in original DBC, but also improves the recognition rate. And then the WV-HaarDBC（Weight Vote HaarDBC） method which fusing global feature is proposed. The experimental results on ORL face database show that the method is effective.

Key words: face recognition, directional binary code, Haar wavelet transformation, majority voting