Design and Implementation of Off-Line Handwritten Document Recognition System of Manchu Manuscript
Jing Li · 2006
Based on an off-line handwritten Manchu manuscript recognition system, a corresponding system model is established. Firstly, the digital image processing method is used to pre-process 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 Manchu-Roman characters. Hidden Markov Model method is also involved to post-process the recognition results of every single word and enhance the recognition rate. The experimental results show that the recognition rate and the self-adaptability of the system are increased substantially on the basis of the single font stroke learning and probability statistics of great corpus of two-word simultaneity.