<title>High-speed pattern recognition system</title>

Abstract

We have developed a binary pattern matching system for the recognition of segmented logos and icons corrupted by random and correlated noise. It is based on the POLCAR transform. The POLCAR transform is invariant to pattern translation and converts size and orientation changes into translations. It has a high pattern discrimination ability, requires no training, and should be capable of running in real-time. The initial tests of this system are very encouraging.