中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Keyword spotting in unconstrained handwritten Chinese documents using contextual word model

文献类型:期刊论文

作者Huang, Liang1; Yin, Fei2; Chen, Qing-Hu1; Liu, Cheng-Lin2
刊名IMAGE AND VISION COMPUTING
出版日期2013-12-01
卷号31期号:12页码:958-968
关键词Keyword spotting Chinese handwritten documents Word similarity Contextual word model
英文摘要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.
WOS标题词Science & Technology ; Technology ; Physical Sciences
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
研究领域[WOS]Computer Science ; Engineering ; Optics
关键词[WOS]HIDDEN MARKOV-MODELS ; CHARACTER-RECOGNITION ; RETRIEVAL ; IMAGES ; SHAPE ; SEGMENTATION
收录类别SCI
语种英语
WOS记录号WOS:000329151300006
源URL[http://ir.ia.ac.cn/handle/173211/3074]  
专题自动化研究所_模式识别国家重点实验室_模式分析与学习团队
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.

入库方式: OAI收割

来源:自动化研究所

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