Research on Face Recognition Algorithm Based on Partial Occlusion

Research face recognition problem.When face image region is occluded,the traditional algorithms often rely on facial key characteristics identification,causing face feature disappearance.This paper proposed an occluded face image based recognition method.Firstly,wavelet transform was carried out with the occluded face image.Then characteristics of rough sets were built up.According to the characteristics of weighted fusion algorithm,details feature vectors were contacted to recognize the face.Experimental results show that this method can recognize the occluded face image effectively,and improve the security and accuracy of identification.