Wavelet image processor for pattern recognition and feature extraction

Recently there has been a great deal of interest in the optical implementation of wavelet transforms for image processing. in this paper, we discuss applications of the wavelet transform to image analysis, rotation and scale invariance, and pattern recognition in the presence of background noise. We describe a method for scale and rotation invariant pattern recognition based on wavelet features of an image. Finally, we give an example of using discrete wavelet filters to extract information from an image.