Modeling of a Method of Cellular Technology Processing Systems and Pattern Recognition Images for Fast Recognition of Dynamic Images

Abstract

Supervised learning has been considered as a hot topic as it is used in different fields that can exploit the advantages of artificial intelligence. This research introduces a new approach using cellular technology for solving various problems of processing and pattern recognition images that are invariant to the orientation, scale, and dynamic changes in real time. On the basis of the notion of geometric type solved the problem of information selection elements in the image recognition of shapes, lines and laser processing of personal identification for handwritten text.

Keywords: cellular technology, pattern recognition, figures recognition, neural network