Automatic face recognition/identification is very useful in some areas. Usually

an ID number is applied for that purpose. This can't prevent the forge ID to be used. The visual feature (such as face

gesture etc.) is relatively stable

and different between each other. So these information can be used to identify the human being. In this paper

a multi candidate based approach for pose varied face recognition is given. To reduce the affection of pose variety

some pre process methods are also applied. Actually

the quality of the image is a very important factor for automatic recognition

so a method for image quality estimation is proposed. The experiments show that the image quality is associated with the recognition result. When the input image is relatively clarity

it can reach a good recognition result.