This paper uses a special approach to recognized the block pictures of Chinese characters by comparing their stochastic sectionalgrams which are obtained from original samples. In order to calculate the risk the absolute value of the difference between the image-occurr-ence probabilities of corresponding quanta in two sectionalgrams is summed. One of these two sectionalgrams is derived from the input pattern and the other from the prototype pattern. The input pattern recognition rate is inverse proportional to the value of the risk. The Markovian dynamic programming is used in this paper to check the risk. Further more, the circular layer code approach is used in the recognition system such that the recognition of input object is independent of the object's input direction. By following the different type of quanta expression, there are two Markovian dynamic programming algorithm presented in this paper to recognize the circular layer code pattern.