Abstract

An architecture for a novel adaptive optical processing system using optical associative memory with learning capability is proposed. The optical system consists of an optical preprocessor for feature extraction and optical associative memory. The feature-extraction ability can give excellent processing capability to the optical associative memory. In order to demonstrate this system, an optical Fourier transform is used as the preprocessor, and the system can achieve shift invariance. An all-optical configuration of the system is proposed, and the experimental results applied to handwritten-character recognition by using an hybrid opto-electronic system are shown and discussed.

© 1993 Optical Society of America

Experimental studies on learning capabilities of optical associative memory

Masatoshi Ishikawa, Naohisa Mukohzaka, Haruyoshi Toyoda, and Yoshiji Suzuki
Appl. Opt. 29(2) 289-295 (1990)

Optical associatron: a simple model for optical associative memory

Masatoshi Ishikawa, Naohisa Mukohzaka, Haruyoshi Toyoda, and Yoshiji Suzuki
Appl. Opt. 28(2) 291-301 (1989)

Adaptive bidirectional associative memories

Bart Kosko
Appl. Opt. 26(23) 4947-4960 (1987)

Optical implementations of associative networks with versatile adaptive learning capabilities

Arthur D. Fisher, Wendy L. Lippincott, and John N. Lee
Appl. Opt. 26(23) 5039-5054 (1987)

Programmable image associative memory using an optical disk and a photorefractive crystal

Mark A. Neifeld and Demetri Psaltis
Appl. Opt. 32(23) 4398-4409 (1993)