Keyword spotting in unconstrained handwritten Chinese documents using contextual word model

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	Keyword spotting in unconstrained handwritten Chinese documents using contextual word model
	Huang, Liang 1; Yin, Fei2 ; Chen, Qing-Hu 1; Liu, Cheng-Lin2
发表期刊	IMAGE AND VISION COMPUTING
	2013-12-01
卷号	31 期号:12 页码:958-968
文章类型	Article
摘要	This paper proposes a method for keyword spotting in off-line Chinese handwritten documents using a contextual word model, which measures the similarity between the query word and every candidate word in the document by combining a character classifier and the geometric context as well as linguistic context. The geometric context model characterizes the single-character likeliness and between-character relationship. The linguistic model utilizes the dependency of the word with the external adjacent characters. The combining weights are optimized on training documents. Experiments on a large handwriting database CASIA-HWDB demonstrate the effectiveness of the proposed method and justify the benefits of geometric and linguistic contexts. Compared to transcription-based text search, the proposed method can provide higher recall rate, and for spotting words of four characters, the proposed method provides both higher precision and recall rate. (C) 2013 Elsevier B.V. All rights reserved.
关键词	Keyword Spotting Chinese Handwritten Documents Word Similarity Contextual Word Model
WOS标题词	Science & Technology ; Technology ; Physical Sciences
关键词[WOS]	HIDDEN MARKOV-MODELS ; CHARACTER-RECOGNITION ; RETRIEVAL ; IMAGES ; SHAPE ; SEGMENTATION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Optics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS记录号	WOS:000329151300006
引用统计	被引频次：8[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/173211/3074
专题	多模态人工智能系统全国重点实验室_模式分析与学习
作者单位	1.Wuhan Univ, Sch Elect Informat, Wuhan 430079, Hubei, Peoples R China 2.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Huang, Liang,Yin, Fei,Chen, Qing-Hu,et al. Keyword spotting in unconstrained handwritten Chinese documents using contextual word model[J]. IMAGE AND VISION COMPUTING,2013,31(12):958-968.
APA	Huang, Liang,Yin, Fei,Chen, Qing-Hu,&Liu, Cheng-Lin.(2013).Keyword spotting in unconstrained handwritten Chinese documents using contextual word model.IMAGE AND VISION COMPUTING,31(12),958-968.
MLA	Huang, Liang,et al."Keyword spotting in unconstrained handwritten Chinese documents using contextual word model".IMAGE AND VISION COMPUTING 31.12(2013):958-968.

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