In order to strengthen the robustness of the extracted features for individual differences and use the distribution characteristics of the features more effectively

this paper presents a hierarchical classification method of expression based on geometric and texture features.Firstly

a geometric feature extract method is constructed based on the similarity of neutral expression

which automatically matches with the similar neutral expression images of sample images and extract geometric features based on feature points scale factor.Then

texture features are extracted by using sufficient vector triangle pattern.Finally

the facial expression hierarchical classification framework is achieved by using the above features to judge expression categories in the three layers respectively.Experiment results in JAFFE database and CK database show that the proposed method improves the recognition rate compared with the methods based on the typically geometric and texture features.