Binary similarity measure based on Moire patterns

Computing similarity measure between images is a basic task required for image classification and matching. The technique proposed explores the Moire phenomenon for determining the similarity measure for two images. When two similar images are superimposed the concentric Moire rings point to the location of the fixed point. A Hough based technique is used for circle detection. The algorithm is successfully applied to the face recognition problem.