Chinese character recognition: history, status and prospects

ISCAS OpenIR

	Chinese character recognition: history, status and prospects
	Dai Ruwei; Liu Chenglin; Xiao Baihua
	2007
发表期刊	Frontiers of Computer Science in China
卷号	1 期号:2 页码:126-136
摘要	Chinese character recognition (CCR) is an important branch of pattern recognition. It was considered as an extremely difficult problem due to the very large number of categories, complicated structures, similarity between characters, and the variability of fonts or writing styles. Because of its unique technical challenges and great social needs, the last four decades witnessed the intensive research in this field and a rapid increase of successful applications. However, higher recognition performance is continuously needed to improve the existing applications and to exploit new applications. This paper first provides an overview of Chinese character recognition and the properties of Chinese characters. Some important methods and successful results in the history of Chinese character recognition are then summarized. As for classification methods, this article pays special attention to the syntactic-semantic approach for online Chinese character recognition, as well as the metasynthesis approach for discipline crossing. Finally, the remaining problems and the possible solutions are discussed.
收录类别	其他
合作性质	其它
关键词	Chinese Character Recognition Pattern Recognition Meta-synthesis Character Preprocessing Feature Extraction Feature Transformation Classifier Design Syntactic-semantic Approach Multiple Classifiers Integration Feedback
语种	英语
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/1327
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Dai Ruwei,Liu Chenglin,Xiao Baihua. Chinese character recognition: history, status and prospects[J]. Frontiers of Computer Science in China,2007,1(2):126-136.
APA	Dai Ruwei,Liu Chenglin,&Xiao Baihua.(2007).Chinese character recognition: history, status and prospects.Frontiers of Computer Science in China,1(2),126-136.
MLA	Dai Ruwei,et al."Chinese character recognition: history, status and prospects".Frontiers of Computer Science in China 1.2(2007):126-136.

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