Visual word density-based nonlinear shape normalization method for handwritten Chinese character recognition

CASIA OpenIR > 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

	Visual word density-based nonlinear shape normalization method for handwritten Chinese character recognition
	Shao, Yunxue; Wang, Chunheng; Xiao, Baihua
发表期刊	INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
	2013-12-01
卷号	16 期号:4 页码:387-397
文章类型	Article
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.
关键词	Visual Word Density Handwritten Chinese Character Recognition Character Shape Normalization Scene Character Recognition
WOS标题词	Science & Technology ; Technology
关键词[WOS]	FEATURE-EXTRACTION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000327457700005
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3754
专题	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
作者单位	Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
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.