Simulation of Face Recognition using Gabor Filter

Abstract

Face recognition has been one of the most interesting and important research fields. The reasons come from the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. Nevertheless, the approaches of the last decades have been determining for face recognition development. Due to the difficulty of the face recognition task, the number of techniques is large and diverse. In addition, the applications involve a huge number of situations.

The purpose of this dissertation is to investigate and implement a neural network for face recognition. the proposed system uses Gabor filters to compute gradient to images and stored it as database images, image inserted to the system firstly, then process it by enhance operation with specified Matlab algorithms, after the processing image been ready to use, the next step gradient is calculated by Gabor filters and finally the recognition done using neural network.