This paper describes a post-processing approach for Japanese character recognition based on dictionary. By the analysis of experimental data in the processing of OCR, we find that some segmentation and recognition results do not conform to the rules of lexical and just generate the character based on the shape. If the fonts of pending recognized characters are similar with the others, it will easily lead to going wrong in the processing of OCR. For these errors we put forward an idea based on the Limited Length Segmentation Matching and the Bayesian Statistical Classifier. Through the above method, most of the font recognized mistakes can be solved. By the experimental results, it can be proved that this method is an effective way to improve the recognized rate of Japanese character.

Mogao Buddhist Caves, located in Dunhuang China, are important witnesses of cultural, religious and commercial exchanges throughout history. Buddhism, was first introduced in Dunhuang region and then further developed in other places in China, and became one of the most significant religions in China until today. How did this exotic religion became a part of Chinese culture? This essay will answer the aforementioned question by analyzing the evidences in Mogao Caves in correspondence with their time periods to unwind the development of Buddhism in China.

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