Research on optimization of a handwritten Chinese character recognition system based on genetic algorithm

被引：0
|
作者：
Lin, L. [1 ]
Wang, X.-L. [1 ]
Liu, J.-F. [1 ]
机构：
[1] Department of Computer Sci. and Eng., Harbin Institute of Technology, Harbin 150001, China
来源：
| 2001年 / Science Press卷 / 38期
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摘要：
In order to improve the accuracy of a handwritten Chinese character recognition system, a model is presented, which combines SCR and post-processing system. Genetic algorithm is applied to optimize system parameters. Tested on an online handwritten Chinese character recognition system(SCR), 87.59% accuracy is achieved when first character candidate accuracy rate is 69.46%, and optimization contributes 6.4% improvement. The experiment results show that genetic algorithm (GA) is an effective method to optimize system parameters.
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