Abstract: This paper presents a way using Haarlike template to extract face feature on different ethnic groups.Using the Haarlike template generation algorithm searches the templates for the analysis of facial features, completed feature extraction on our multi-ethnic face database,uses C5.0,C&R Tree、BP NN and SVM classifier to study the training samples,classifies and predicts the test dataset.The identification accuracy on the ethnic of Uighur,Tibetan, Zhuang is 8O%、74%、88% Separately.It also provides a rapid and efficient method for the facial Ethnic feature identifieation.