关键词: 表情识别, 局部特征提取, 局部二值模式

Abstract: In order to effectively extract facial expression feature，a novel facial feature extraction approach for facial expression recognition based on Local Binary Pattern（LBP） is proposed in the paper.Firstly，facial expression images’ gray level is normalized with the average-variance method.By doing integral projection，some critical facial feature points are located，such as eyebrow，eye，nose and mouth.Then sub-regions belong to each facial component are partitioned.And then facial expression features are presented with LBP histograms of each sub-region，which is divided into several blocks.To validate the rationality of the method proposed，experiments are implemented on JAFEE（Japanese female facial expression database） database.The results illustrate that the method proposed is effective to represent facial expression feature.

Key words: facial expression recognition, local feature extraction, Local Binary Pattern（LBP）