In this paper, the word out of vocabulary and misrecognition are rejected to cut down the recognition faults, improve the system recognition ratio and reduce the false acceptance ratio.

The problems of reading defect characters of images and misrecognition of similar characters can be solved by a kind of sifting-connection algorithm and the application of BP neural network technique.