The design of multiresolution adaptive classifier

The characteristics of visual information processing at the primary stage of the visual nerve system (from retina to striate cortex) are summarized briefly in this paper. The concept of wavelet transform (WT) implied in this procedure is emphasized. A multiresolution adaptive classifier (MAC)is presented to organize this concept into the network structure and the back propagation (BP) learning method is used to train the network. Computer simulation on the recognition of numerals shows the good performance of MAC.