赵骥,李晶皎,王丽君,张继生. 基于HMM的满文文本识别后处理的研究[J]. 中文信息学报, 2006, 20(4): 65-69.
ZHAO JI,LI Jing-jiao,WANG Li-jun,ZHANG Ji-sheng. Research on the Post-processing of Manchu Character Recognition Based on Hidden Markov Model. , 2006, 20(4): 65-69.
基于HMM的满文文本识别后处理的研究
赵骥1,李晶皎2,王丽君1,张继生1
1.鞍山科技大学计算机科学与工程学院 2.东北大学信息科学与工程学院
Research on the Post-processing of Manchu Character Recognition Based on Hidden Markov Model
1.School of Computer Science & Engineering , Anshan Science and Technology University 2.School of Information Science & Engineering , Northeastern Science University
Abstract：The study proposes a post-processing method to improve the performance of Manchu character recognition. A evaluation model based on the Bayes rule are used to estimate the probability of the candidate Manchu words, which takes both the posterior probability of candidate and the prior probability of Manchu phrases into account. A Hidden Markov Model and Viterbi dynamic programming algorithm are adopted to check the output of the character recognition and to correct the rejected and mistaken words. This efficiently enhances the recognition rate of Manchu manuscript. The results indicate that the post-processing performance depends on the language model and the accuracy of the evaluation model. Additionally, a higher recognition precision of SCR (Single Character Recogniton) will yield a better performance of error correction of post-processing.
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2006, Vol. 20 
