关键词: 人脸识别, 单演滤波, 相位, 单演同相幅值模式, 分块线性判别

Abstract: In order to take advantages of the monogenic magnitude and phase information for face recognition, a new method based on pattern of monogenic magnitudes with same phase is proposed. Multi-scale monogenic filters are used to extract the monogenic magnitude and phase information of the image. This paper obtains the phase quantization images, accumulates the magnitude according to the quantization results and codes the accumulative results by binary strategy. After that the patterns of monogenic magnitudes with same phase image are obtained. PMMSP maps are divided into blocks and the histogram is extracted from the blocks. BFLD is not only used to reduce the dimension of the features but also enhance its discriminative power. The experimental results on the CAS-PEAL and AR face databases show that the proposed algorithm is effective.

Key words: face recognition, monogenic filter, phase, Pattern of Monogenic Magnitudes with Same Phase（PMMSP）, Block-based Fisher Linear Discriminant（BFLD）