In order to solve the problem that it is difficult to recognize fuzzy characters on Oracle Bone Inscription (OBI) of the Shang Dynasty , a fuzzy matching algorithm combining statistical analysis and Hopfield network is proposed. First, according to the OBI context statistics information, a candidate font library for the fuzzy characters is established; second, the initial recognition work is processed based on OBI character Hopfield network; last, the OBI component vector is used to calculate the similarity of fuzzy characters. According to the similarity, it can determine the target OBI character. Experiments show that the method can reach high recognition accuracy for some bones or tortoise shells which include fuzzy characters.