中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Visual word density-based nonlinear shape normalization method 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:387-397
关键词Visual word density Handwritten Chinese character recognition Character shape normalization Scene character recognition
英文摘要In handwritten Chinese character recognition, the performance of a system is largely dependent on the character normalization method. In this paper, a visual word density-based nonlinear normalization method is proposed for handwritten Chinese character recognition. The underlying rationality is that the density for each image pixel should be determined by the visual word around this pixel. Visual vocabulary is used for mapping from a visual word to a density value. The mapping vocabulary is learned to maximize the ratio of the between-class variation and the within-class variation. Feature extraction is involved in the optimization stage, hence the proposed normalization method is beneficial for the following feature extraction. Furthermore, the proposed method can be applied to some other image classification problems in which scene character recognition is tried in this paper. Experimental results on one constrained handwriting database (CASIA) and one unconstrained handwriting database (CASIA-HWDB1.1) demonstrate that the proposed method outperforms the start-of-the-art methods. Experiments on scene character databases chars74k and ICDAR03-CH show that the proposed method is promising for some image classification problems.
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
收录类别SCI
语种英语
WOS记录号WOS:000327457700005
源URL[http://ir.ia.ac.cn/handle/173211/3754]  
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. Visual word density-based nonlinear shape normalization method for handwritten Chinese character recognition[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,2013,16(4):387-397.
APA Shao, Yunxue,Wang, Chunheng,&Xiao, Baihua.(2013).Visual word density-based nonlinear shape normalization method for handwritten Chinese character recognition.INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,16(4),387-397.
MLA Shao, Yunxue,et al."Visual word density-based nonlinear shape normalization method for handwritten Chinese character recognition".INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 16.4(2013):387-397.

入库方式: OAI收割

来源:自动化研究所

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