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Proceedings Paper

Optical-electronic adaptive pattern recognition systems with neural network elements
Author(s): Sergei M. Borzov; Victor I. Kozik; Oleg I. Potaturkin
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Paper Abstract

An adaptive method for small-size image recognition is suggested; it is based on iterative procedure of determining the parameters of a feature space. A structure of optical- electronic systems with neural network elements is considered. A high discrimination properties of the formed features stipulated by using both the values of samples and the information on the structure of auto- and cross- correlation functions in the iterative process was verified as a result of numerical simulation. Invariance of the method to various illumination conditions and to some extent to aspect transformation s of recognized images is shown.

Paper Details

Date Published: 11 November 1996
PDF: 9 pages
Proc. SPIE 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments, (11 November 1996); doi: 10.1117/12.258139
Show Author Affiliations
Sergei M. Borzov, Institute of Automation and Electrometry (Russia)
Victor I. Kozik, Institute of Automation and Electrometry (Russia)
Oleg I. Potaturkin, Institute of Automation and Electrometry (Russia)


Published in SPIE Proceedings Vol. 2824:
Adaptive Computing: Mathematical and Physical Methods for Complex Environments
H. John Caulfield; Su-Shing Chen, Editor(s)

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