<title>Hybrid Optical/Digital Moment-Based Robotic Pattern Recognition System</title>

Abstract

A moment-based pattern recognition system is most appropriate for providing information on the presence, classification and orientation of an object in the field-of-view of a sensor. Such features are ideal for robotic pattern recognition and parts handling. This paper reviews our hybrid optical/digital system to achieve the above objectives and includes initial demonstration results. We then advance a new optical finite-order cosine-processor that can compute the moments and we discuss how the outputs from this system can easily be corrected for various optical system errors and the design of a reduced size breadboard optical system.