NEURAL NETWORK IDENTIFICATION OF SIGNATURES AS BINARY IMAGES IN A SPACE OF INFORMATIVE FEATURES OF THE RADON TRANSFORMATION

摘要

The method a neural network verification of the signatures as binary images in space informative features of the Radon transformation is submitted. The moments invariant to rotation, transformation and scaling arc used for constniction of the vector features. The extraction of informative features is made in space Wavelet decomposition that on the one hand provides reliability of identification and on the other hand - decreases the size of space features. The method of extracting features and verificating the signatures is checked up on backpropagation neural network. The testing was carried out on the various signatures and the received results have confirmed reliability of the method.