| 基于语义分析提高脱机手写体识别率的方法 |
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| 引用本文： | 李莉,高庆狮.基于语义分析提高脱机手写体识别率的方法[J].计算机工程与应用,2006,42(6):10-12,15. |
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| 作者姓名： | 李莉 高庆狮 |
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| 作者单位： | 北京科技大学信息工程学院,北京,100083 |
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| 基金项目： | 中国科学院资助项目;科技部科研项目 |
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| 摘 要： | 论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。从识别的过程来看,这种方法是一种基于上下文关系的识别“后处理”方法。文中介绍了语义单元、语义单元表示、语义单元表示树、语义单元表示集、语义单元表示树集,并且具体讨论了通过语义单元表示树集的剪枝来提高识别正确率的方法。
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| 关 键 词： | 脱机手写体识别 语义语言 语义分析 |
| 文章编号： | 1002-8331-（2006）06-0010-03 |
| 收稿时间： | 2005-12 |
| 修稿时间： | 2005-12 |
A Method for Improving Offline Handwritten Character Recognition Based on Semantic Analysis |
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| Li Li,Gao Qingshi.A Method for Improving Offline Handwritten Character Recognition Based on Semantic Analysis[J].Computer Engineering and Applications,2006,42(6):10-12,15. |
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| Authors: | Li Li Gao Qingshi |
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| Affiliation: | Information Engineering School,University of Science and Technology Beijing,Beijing 100083 |
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| Abstract: | In this paper,we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.Seeing from the process of recognition,this method is at post-processing stage based on context.We introduce SE(Semantic Element),SER(Semantic Element Representation),SER-tree,SER-Set,SER-treeSet and discuss this new method of pruning on the SER-treeSet in details. |
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| Keywords: | Offline Handwritten Character Recognition semantic language semantic analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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