Institute of Information Theories and Applications FOI ITHEA
The neural-like growing networks used in the intelligent system of recognition of images are under
consideration in this paper. All operations made over the image on a pre-design stage and also classification
and storage of the information about the images and their further identification are made extremely by
mechanisms of neural-like networks without usage of complex algorithms requiring considerable volumes of
calculus. At the conforming hardware support the neural network methods allow considerably to increase the
effectiveness of the solution of the given class of problems, saving a high accuracy of result and high level of
response, both in a mode of training, and in a mode of identification.