| 脱机手写体汉字识别综述 |
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| 引用本文： | 赵继印,郑蕊蕊,吴宝春,李敏. 脱机手写体汉字识别综述[J]. 电子学报, 2010, 38(2): 405-415 |
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| 作者姓名： | 赵继印 郑蕊蕊 吴宝春 李敏 |
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| 作者单位： | 大连民族学院机电信息工程学院,辽宁,大连,116600;吉林大学通信工程学院,吉林,长春,130025 |
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| 基金项目： | 大连民族学院科研基金(No.20086201);;吉林省科技厅科技引导计划(No.20090511) |
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| 摘 要： | 脱机手写体汉字识别是模式识别领域最具挑战性的课题之一。本文分析了近年来脱机手写体汉字识别的最新进展,讨论了脱机手写体汉字分割、特征提取和分类器设计等关键技术的各种主流方法,介绍了3种典型的汉字识别数据库,并提出了脱机手写体汉字识别的难点问题和今后发展的趋势,为该领域的研究者指明研究方向,共同促进脱机手写体汉字识别技术的发展。
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| 关 键 词： | 脱机手写体汉字识别 字符分割 特征提取 分类器设计 汉字识别数据库 |
| 收稿时间： | 2009-02-16 |
| 修稿时间： | 2009-06-13 |
A Review of Off-Line Handwritten Chinese Character Recognition |
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| ZHAO Ji-yin,ZHENG Rui-rui,WU Bao-chun,LI Min. A Review of Off-Line Handwritten Chinese Character Recognition[J]. Acta Electronica Sinica, 2010, 38(2): 405-415 |
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| Authors: | ZHAO Ji-yin ZHENG Rui-rui WU Bao-chun LI Min |
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| Affiliation: | 1. College of Communication Engineering, Jilin University, Changchun, Jilin 130025, China;2. College of Electormechanical & Information Engineering, Dalian Nationalities University, Dalian, Liaoning 116600, China |
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| Abstract: | Off-line handwritten Chinese character recognition is one of the most challenging problems in pattern recognition field.This paper analyzed the latest developments of offline handwritten Chinese character recognition in recent years.Main methods of the key technologies such as Chinese characters segmentation,feature extraction and classifier design were discussed.This paper also introduced 3 typical off-line handwritten Chinese character recognition databases.Finally,remain difficult issues and future trend... |
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| Keywords: | off-line handwritten Chinese character Recognition characters segmentation feature extraction classifier design Chinese recognition database |
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