Novel Approach of Retrieving an Enhanced Frontal Face Image

In bio-metric analysis system, such as face recognition, human computer interaction and so on, face is considered as one of the significant factor in remote life science. Images captured from inexpensive surveillances camera provides low resolution images. To avoid this problem, we need to retrieve a high-resolution image from those types of low-resolution video sequence. In order to provide a solution, Reconstruction based super resolution and Learning Based Super resolution algorithm was used for improving image quality. The employed LBSR algorithm in the existing system is Multi Layer Perception.MLP method use neural network for training the image. So it requires large memory space to store a huge amount of information, and they require large time for computation. Its improvement issue is limited. In this paper we are going to use Patch based classifier method. It will provide enhanced frontal face image compared to the existing method.