关键词: 人脸识别, 光照正常化, LBP算子

Abstract: LBP（Local Binary Pattern） operator is effective method used in texture analysis and face recognition，but not considering the contrast value between pixels，it doesn’t represent the important texture feature.In order to overcome this disadvantage，the paper proposes an improved LBP method—LMCP（Local Multi-layer Contrast Pattern）.This method uses preprocessing to limit the illumination variation.Afterward，the contrast values between center pixel in local area and its neighbor pixels are calculated，and the value range between the max contrast value and the min contrast value is divided into several layers.And then，every contrast value can be mapped into a certain layer.So，using the rule which is similar to LBP，can get a LMCP feature composed of several decimal values.Additionally，a statistics mapping method is adopted to reduce the expanded feature dimension.Plentiful experiment data improve the priority of LMCP than LBP.

Key words: face recognition, illumination normalization, Local Binary Pattern（LBP）