A robust approach to text line grouping in online handwritten Japanese documents

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	A robust approach to text line grouping in online handwritten Japanese documents
	Zhou, Xiang-Dong; Wang, Da-Han; Liu, Cheng-Lin
发表期刊	PATTERN RECOGNITION
	2009-09-01
卷号	42 期号:9 页码:2077-2088
文章类型	Article
摘要	In this paper, we present an effective approach for grouping text lines in online handwritten Japanese documents by combining temporal and spatial information. With decision functions optimized by supervised learning, the approach has few artificial parameters and utilizes little prior knowledge. First, the strokes in the document are grouped into text line strings according to off-stroke distances. Each text line string, which may contain multiple lines, is segmented by optimizing a cost function trained by the minimum classification error (MCE) method. At the temporal merge stage, over-segmented text lines (caused by stroke classification errors) are merged with a support vector machine (SVM) classifier for making merge/non-merge decisions. Last, a spatial merge module corrects the segmentation errors caused by delayed strokes. Misclassified text/non-text strokes (stroke type classification precedes text line grouping) can be corrected at the temporal merge stage. To evaluate the performance of text line grouping, we provide a set of performance metrics for evaluating from multiple aspects. In experiments on a large number of free form documents in the Tokyo University of Agriculture and Technology (TUAT) Kondate database, the proposed approach achieves the entity detection metric (EDM) rate of 0.8992 and the edit-distance rate (EDR) of 0.1114. For grouping of pure text strokes, the performance reaches EDM of 0.9591 and EDR of 0.0669. (C) 2008 Elsevier Ltd. All rights reserved.
关键词	Online Handwritten Documents Text Line Grouping Mce Training Temporal Merge Spatial Merge
WOS标题词	Science & Technology ; Technology
关键词[WOS]	SPEECH RECOGNITION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000267089000036
引用统计	被引频次：25[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/173211/3058
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	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhou, Xiang-Dong,Wang, Da-Han,Liu, Cheng-Lin. A robust approach to text line grouping in online handwritten Japanese documents[J]. PATTERN RECOGNITION,2009,42(9):2077-2088.
APA	Zhou, Xiang-Dong,Wang, Da-Han,&Liu, Cheng-Lin.(2009).A robust approach to text line grouping in online handwritten Japanese documents.PATTERN RECOGNITION,42(9),2077-2088.
MLA	Zhou, Xiang-Dong,et al."A robust approach to text line grouping in online handwritten Japanese documents".PATTERN RECOGNITION 42.9(2009):2077-2088.