A simple postprocessing method for an optical correlation based real-time human face recognition processor

The use of similarity measure techniques on the optical correlation output plane is analysed as a method to improve the discrimination ability of patt ern recognition procedures. The study is divided into two parts: one recoun ts a computer simulated example corresponding to pattern recognition by the use of input images that may be blurred, rotated or corrupted by additive Gaussian noise, and the second part describes a real optical processor for realtime human face recognition, in which the simple similarity measure bas ed postprocessing method plays an important role for improving the discrimi nation ability while saving much processing time.