为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon

首次提出将局部二进制模式(LBP) 用到掌纹识别中。借鉴分级检索的思想，先采用Gabor滤波器提取掌纹的全局能量特 征。后采用LBP算子提取局部特征实现两次分类。-First proposed the Local Binary Pattern (LBP) used palmprint recognition. Learn classification retrieval of thought, first use Gabor filter to extract palmprint globa