Abstract: How to apply HMM（hidden Markov model） to handwritten digit recognition is a valuable issue. Based on the characteristics of handwritten digit and feature extraction,the training and the parameter optimization of the HMM is studied. This method has been used in a bank check OCR recognition system, and has gained obvious enhancement in system performance.