A face recognition system using template matching and neural network classifier

Abstract

We develop a technique to identify an unknown person in a face image by using template matching and neural network classifier. The technique is separated into three main steps namely; preprocessing, feature extraction and recognition. In the preprocessing step, we process and normalize the input image using approaches proposed by Kawaguchi et al. [1]. We prepare an intensity image of human frontal face and a cut off region consisting of both eyes and eyebrows from the image as a template and a representative feature. Finally, we use the templates as input to the neural network classifier for recognition purposes.