关键词: 人脸识别, 灰度共现矩阵, 局部二进制模式, 支持向量机

Abstract: This paper proposes a novel face recognition method based on two-dimensional multi-block local binary pattern. A face image is divided into some blocks. The MB-LBP operator is applied on each block. It combines the MB-LBP and gray level co-occurrence matrix to get two-dimensional MB-LBP features which better describe the local texture spatial structure. Each sub-block of LBP gray histogram is connected to form the face feature. The proposed approach is tested on ORL and CMU-PIE face database with the Support Vector Machine（SVM） as classifier. The results of experiments demonstrate that the proposed algorithm is more steady and superior of identifying faces while compared with the traditional one-dimensional LBP features.

Key words: face recognition, Gray Level Co-occurrence Matrix（GLCM）, Local Binary Patterns（LBP）, Support Vector Machine（SVM）