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Microcomputer-based programmable optical correlator for automatic pattern recognition and identification.

F T Yu¹, J E Ludman

¹Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.

|September 5, 2009

Summary

This summary is machine-generated.

A novel microcomputer-based programmable optical correlator (MPOC) enables real-time pattern recognition. This system utilizes advanced spatial light modulators for efficient joint-transform correlation, offering programmable processing for complex information.

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Area of Science:

Optics and Photonics
Computer Science
Image Processing

Background:

Traditional pattern recognition methods often lack real-time processing capabilities.
Efficiently correlating large amounts of spatial information remains a challenge.

Purpose of the Study:

To propose and evaluate a microcomputer-based programmable optical correlator (MPOC) for automatic pattern recognition.
To demonstrate the real-time joint-transform correlation capability of the proposed system.

Main Methods:

Development of a MPOC integrating a microcomputer with an optical processing system.
Utilization of a programmable magneto-optic spatial light modulator and a liquid-crystal light valve.
Implementation of a real-time joint-transform correlation algorithm.

Main Results:

The MPOC demonstrates real-time programmable processing for large space-bandwidth-product information.
Feasibility study confirms the effectiveness of the proposed optical correlator design.
Successful joint-transform correlation operations were achieved.

Conclusions:

The MPOC offers a powerful solution for real-time automatic pattern recognition and identification.
The integration of microcomputer control with optical processing provides significant advantages.
The proposed technique is viable for handling complex, high-volume data in pattern recognition applications.