Significance evaluation of geometric features in classification of chinese facial images

In this paper, multivariable linear regression analysis was employed to obtain the relationship among facial geometric features, and a discriminant function was used to evaluate the significance of different features. Finally, classification rates were compared with different combinations of geometric features. The results showed that the geometric feature with more significance probably improved the classification performance in the cases studied.

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