A radical cascade classifier for handwritten Chinese character recognition

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	A radical cascade classifier for handwritten Chinese character recognition
	Ni, Enzhi ; Zhou, Changle ; Jiang, Minjun ; Zhou CL(周昌乐)
刊名	http://dx.doi.org/10.4304/jsw.7.10.2294-2300
	2012
关键词	Adaptive boosting
英文摘要	Radical extraction is the core technique for radical-based Chinese character recognition. In this paper, we proposed a new method of radical extraction radical cascade classifier. The radical cascade classifier consists of multiple AdaBoost classifiers. It can detect and extract specific radical from characters. To apply cascade classifier to radical extraction, we focus on two main points: feature selection and radical detection. In this paper, we discussed feature selection for the radical cascade classifier and proposed two methods of radical detection. Based on these works, we constructed the radical cascade classifier and conducted experiments on HITPU databases. The experimental results have shown that our approach is efficient. 漏 2012 ACADEMY PUBLISHER.
语种	英语
出版者	Academy Publisher
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92838]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Ni, Enzhi,Zhou, Changle,Jiang, Minjun,et al. A radical cascade classifier for handwritten Chinese character recognition[J]. http://dx.doi.org/10.4304/jsw.7.10.2294-2300,2012.
APA	Ni, Enzhi,Zhou, Changle,Jiang, Minjun,&周昌乐.(2012).A radical cascade classifier for handwritten Chinese character recognition.http://dx.doi.org/10.4304/jsw.7.10.2294-2300.
MLA	Ni, Enzhi,et al."A radical cascade classifier for handwritten Chinese character recognition".http://dx.doi.org/10.4304/jsw.7.10.2294-2300 (2012).