Design and Implementation of OffLine Handwritten Document Recognition System of Manchu Manuscript
ZHAO Ji1, LI JingJiao2, ZHANG GuangYuan2, WAN Jie1
1.School of Computer Science and Engineering,Anshan Science and Technology University, Anshan 114044 2.School of Information Science and Engineering, Northeastern University, Shenyang 110004
Abstract：Based on an offline handwritten Manchu manuscript recognition system, a corresponding system model is established. Firstly, the digital image processing method is used to preprocess and extract the words from the identified targets. Next, the processed words are decomposed into the stroke units. The statistics pattern recognition method is employed to identify them and obtain the stroke sequence. Then the stroke sequence is converted into the root sequence. The fuzzy identification method is used to achieve the output of ManchuRoman characters. Hidden Markov Model method is also involved to postprocess the recognition results of every single word and enhance the recognition rate. The experimental results show that the recognition rate and the selfadaptability of the system are increased substantially on the basis of the single font stroke learning and probability statistics of great corpus of twoword simultaneity.
赵骥，李晶皎，张广渊，王杰. 脱机手写体满文文本识别系统的设计与实现*[J]. 模式识别与人工智能, 2006, 19(6): 801-805.
ZHAO Ji, LI JingJiao, ZHANG GuangYuan, WAN Jie. Design and Implementation of OffLine Handwritten Document Recognition System of Manchu Manuscript. , 2006, 19(6): 801-805.
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2006, Vol. 19 
