A hand-printed Chinese character recognizer based on Contextual Vector Quantization (CVQ) has been built previously. In this paper, several properties of the recognizer will be discussed and the recognizer of 4516 Chinese characters has a successful rate of 91.0%. Then the output of the recognizer is passed to a language model which when applied to recognize a passage of about 1200 characters raises the rate from 91.5% to 97.5%.published_or_final_versio
