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A New Method for Handwriting Digital Recognition

Dong Lin Chen Xixian Tang Yuanyan Wu Shanpei (Department of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100088)  
A new method of two order Multi Branch two Dimensional Pseudo Hidden Markov Models(MB 2D PHMM) been used for handwriting digital recognition. Two order multi branch 2D Pseudo viterbi algorithm used for training model.This algorithm compared to traditional forward backward algorithm has some advantage as follow. 1) It can get rig of down overflow. 2) The accurate of the calculation is higher. 3) The speed of calculation is much faster. As two order multi branch 2D Pseudo Hidden Markov Model can represent the characteristic of the pattern much properly. The recognition rate is higher than conventional 2D Pseudo Hidden Markov Model. The result of the test shows, the recognition rate of training set is 96.1%. The recognition rate of testing set is 94.95%.
【CateGory Index】: TP11
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