Optical-electronic adaptive pattern recognition systems with neural network elements

Sergei M. Borzov; Victor I. Kozik; Oleg I. Potaturkin

doi:10.1117/12.258139

11 November 1996 Optical-electronic adaptive pattern recognition systems with neural network elements

Sergei M. Borzov, Victor I. Kozik, Oleg I. Potaturkin

Proceedings Volume 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments; (1996) https://doi.org/10.1117/12.258139
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

Sergei M. Borzov, Victor I. Kozik, and Oleg I. Potaturkin "Optical-electronic adaptive pattern recognition systems with neural network elements", Proc. SPIE 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments, (11 November 1996); https://doi.org/10.1117/12.258139

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