11 November 1996 Optical-electronic adaptive pattern recognition systems with neural network elements
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergei M. Borzov, Victor I. Kozik, 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); doi: 10.1117/12.258139; https://doi.org/10.1117/12.258139
PROCEEDINGS
9 PAGES


SHARE
Back to Top