DocumentCode
3120000
Title
Research on Chinese character recognition post-processing based on genetic algorithm
Author
Wang, Ke-jian ; Tian, Xue-dong ; Guo, Bao-lan
Author_Institution
Sch. of Math. & Comput., Hebei Univ., Baoding, China
Volume
4
fYear
2002
fDate
4-5 Nov. 2002
Firstpage
1718
Abstract
In order to improve the accuracy of a character recognition system, especially to improve recognition rate, it is positively significant to introduce an excellent post-processing method. A Chinese character recognition post-processing (CCRP) based on genetic algorithm is introduced in this paper. The genetic algorithm relies on the Chinese character itself and context information. Experiment shows that this method obtains quite good result. The character recognition rate of the tested text is from 94.99% to 95.92% after post-processing and improves 0.93%.
Keywords
character recognition; genetic algorithms; CCRP; Chinese character recognition post-processing; GA; genetic algorithm; Character recognition; Error analysis; Error correction; Genetic algorithms; Genetic mutations; Mathematics; Natural languages; Statistics; Testing; Text recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1175329
Filename
1175329
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