The Application Research of Face Recognition in Network Certification

In this paper, a new criterion based on image segmentation on face recognition is applied to network certification. Firstly, the original images are divided into modular images, which are also called sub-images. Then, the well-known Fisher linear discriminant analysis is directly employed to the sub-images obtained from the previous step. Finally the recognition results are obtained by the general minimum distance classifier. The ORL face image database is made use of to simulate, and when the training sample is only one, the recognition rate of 90.83 percent is achieved. The algorithm mentioned in the paper greatly improves the reliability and security of network certification.