Face Recognition using Wavelet Transform

Face recognition is promising as an active research area spanning several disciplines such as computer vision, patternrecognition, neural network and image processing. It plays animportant role in many application areas such as authentication, human machine and surveillance. Human beings appear to recognize faces in cluttered scenes with relative ease having the ability to identify coarsely quantized images, distorted images and face with occluded details. Machine recognition is much more a discouraging task. Understanding the human mechanisms employed to recognize face constitutes a test for psychologists and neural scientists. Additionally to the cognitive aspects, understanding face recognition is important since the same underlying mechanisms could be used to make a system for the automatic identification of faces by machine. This paper presents face recognition using discrete wavelet transform (haar), wavelet filters have been implemented as a part of the proposed algorithms due to their simplicity, regularity and suitability for face recognition, and minimum distance is used to matching image with data base stored by Microsoft Access which is connected with csharp language to programming.