Computer Science ›› 2010, Vol. 37 ›› Issue (8): 276-279301.
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DUAN Xiao-dong,WANG Cun-rui,LIU Xiang-dong,LIU Hui
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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
DUAN Xiao-dong,WANG Cun-rui,LIU Xiang-dong,LIU Hui. Minorities Features Extraction and Recognition of Human Faces[J].Computer Science, 2010, 37(8): 276-279301.
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