Abstract: This paper presents a kind of improved HAMMING NET which is applied to practical system ofprinted Chinese text recognition as a rough classifier. The structure and relative algorithm of this neuralnetwork classifier, which deals with the multi-mode classification for 3755 Chinese Characters, are given.This algorithm is implemented by software simulation on a PC microcomputer and satistactory result isachieved.