| 基于贝叶斯网络的脱机手写体汉字智能识别 |
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| 引用本文： | 温尚清,郝志峰,廖芹,陈炎雄.基于贝叶斯网络的脱机手写体汉字智能识别[J].计算机辅助工程,2006,15(3):72-74,89. |
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| 作者姓名： | 温尚清 郝志峰 廖芹 陈炎雄 |
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| 作者单位： | 华南理工大学,数学科学学院,广东,广州,510641 |
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| 基金项目： | 教育部人文社会科学规划项目;广东省科技攻关计划 |
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| 摘 要： | 针对汉字识别的超多类问题，将贝叶斯网络分类器引入小样本字符集脱机手写体汉字识别中．对手写大写数字汉字的小样本字符集构造识别系统，同时与传统的欧氏距离方法进行比较，实验表明该算法将识别率提高到92．4％，在小样本字符集脱机手写体识别中具有较强的实用性和良好的扩展性．
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| 关 键 词： | 贝叶斯网络 分类器 脱机手写体汉字 智能识别 欧氏距离 |
| 文章编号： | 1006-0871（2006）03-0072-03 |
| 收稿时间： | 2006-06-06 |
| 修稿时间： | 2006-06-06 |
Intelligent offline handwritten Chinese character recognition based on Bayesian network |
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| WEN Shangqing,HAO Zhifeng,LIAO Qin,CHEN Yanxiong.Intelligent offline handwritten Chinese character recognition based on Bayesian network[J].Computer Aided Engineering,2006,15(3):72-74,89. |
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| Authors: | WEN Shangqing HAO Zhifeng LIAO Qin CHEN Yanxiong |
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| Affiliation: | School of Mathematical Sci. , South China Univ. of Tech. , Guangzhou Guangdong 510640, China |
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| Abstract: | With the super-multi-class issue in Chinese character recognition, Bayesian network classifier is introduced into small-set offline handwritten Chinese character recognition, for which a recognition system is constructed and it is compared with Euclidean distance classifier. The experiments indicate that it can increase the recognition rate to 92.4% , and therefore it has more practicability and scalability. |
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| Keywords: | Bayesian network classifier offline handwritten Chinese character intelligent recognition Euclidean distance |
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