Abstract: Based on the analysis of facial occlusion handling various algorithms,a automatical multi-value mask PCA face reconstruction model (MMPCA model) was proposed．First the facial features are extracted,and the eigenface difference between a test face and a standard face is calculated to judge the facial occlusion accurately and determine the facal occlusion type.Then a occlusion mask is estimated with a M estimator,and the pixel’s amplitude parameters are estimated,and the multi-value occlusion mask is generated.Last three half secondary-type functions are used to ensure optimal synthesis coefficients is only and convergent,and then the optimal synthesis coefficient is obtained to reconstruct the face．The experimental results show that the occlusion region is restored and the occlusion influence to face recognition accuracy is weaken through using the automatical multi-value mask PCA face reconstruction model.

Key words: Face recognition,Occlusion recover,Multi-value mask PCA face reconstruction (MMPCA)