Abstract
In recent years, an explosion in research on pattern recognition has been observed. Face recognition is a specialised pattern recognition task with several applications such as security (access to restricted areas, banking, identity verification, and people recognition at airports). Face recognition is an example of advanced object recognition. The process is influenced by several factors such as shape, reflectance, pose, occlusion and illumination which make it even more difficult. Today there are many well known techniques for face recognition. In this paper, we present an approach to face recognition based in Beta Wavelet networks. We then present a series of experimental results for our face recognition system.