A visnal pattern recognition network and its training algorithm are proposed. The network is constructed of a one layer morphology network and a two layer modified Hamming net, which can implement invariant pattern recognition corresponding to image translation and size projection. After supervised learning, the visual network can extract image features and classify patterns. More over an optoelectronic architecture for real time pattern recognition is proposed.