关键词: 面部民族特征，人脸识别，LDA, PCA, Labor

Abstract: Minorities feature of face is one of the most important features of face features. We created a face database of ethnic minorities and extracted facial features using face recognition technology. In the feature extraction method,we adapted the algebra and geometry from face database, used I_DA algorithm to extract the algebraic features of human face images,this paper also constructed a new face templates to extract the geometric features and used gabor wavelet to locute the points of face templates. KNN and C5. 0 Classifiers were used to learn the train dataset. I}hc result indicates that the average recognition accuracy rates of I}ibetan, Uygur and Zhuang reach 79 0 0 by algebraic features and 90. 95% by geometry features.

Key words: Minority characters of face, Facc recognition, I_DA, PCA, Gabor Wavclet