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Fast self-generation voting for handwritten Chinese character recognition

文献类型：期刊论文

作者Shao, Yunxue; Wang, Chunheng; Xiao, Baihua
刊名INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
出版日期2013-12-01
卷号16期号:4页码:413-424
关键词Handwritten Chinese character recognition Fast self-generation voting Line density equalization Normalization-cooperated feature extraction Modified quadratic discriminant function
英文摘要In this paper, a fast self-generation voting method is proposed for further improving the performance in handwritten Chinese character recognition. In this method, firstly, a set of samples are generated by the proposed fast self-generation method, and then these samples are classified by the baseline classifier, and the final recognition result is determined by voting from these classification results. Two methods that are normalization-cooperated feature extraction strategy and an approximated line density are used for speeding up the self-generation method. We evaluate the proposed method on the CASIA and CASIA-HWDB1.1 databases. High recognition rate of 98.84 % on the CASIA database and 91.17 % on the CASIA-HWDB1.1 database are obtained. These results demonstrate that the proposed method outperforms the state-of-the-art methods and is useful for practical applications.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]FEATURE-EXTRACTION ; SHAPE NORMALIZATION ; NUMERAL RECOGNITION ; GRADIENT FEATURE ; CLASSIFIERS ; LINE
收录类别SCI
语种英语
WOS记录号WOS:000327457700007
源URL[http://ir.ia.ac.cn/handle/173211/3755]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队
作者单位Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Shao, Yunxue,Wang, Chunheng,Xiao, Baihua. Fast self-generation voting for handwritten Chinese character recognition[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,2013,16(4):413-424.
APA Shao, Yunxue,Wang, Chunheng,&Xiao, Baihua.(2013).Fast self-generation voting for handwritten Chinese character recognition.INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,16(4),413-424.
MLA Shao, Yunxue,et al."Fast self-generation voting for handwritten Chinese character recognition".INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 16.4(2013):413-424.

入库方式： OAI收割

来源：自动化研究所

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