The Application of Face Recognition in Network Security

Nowadays the network information security is an important research direction on data communications. In order to solve a number of shortcomings in information security password system, in this paper, a new criterion based on image segmentation on face recognition is applied to network security. Firstly, in proposed approach, 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.