An approach for real-time recognition of online Chinese handwritten sentences

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	An approach for real-time recognition of online Chinese handwritten sentences
	Wang, Da-Han 1; Liu, Cheng-Lin1 ; Zhou, Xiang-Dong 2,3
刊名	PATTERN RECOGNITION
	2012-10-01
卷号	45 期号:10 页码:3661-3675
关键词	Online Chinese handwritten sentence recognition Real-time recognition Dynamic text line segmentation Dynamic over-segmentation Dynamic candidate lattice Path search
英文摘要	With the advances of handwriting capturing devices and computing power of mobile computers, pen-based Chinese text input is moving from character-based input to sentence-based input. This paper proposes a real-time recognition approach for sentence-based input of Chinese handwriting. The main feature of the approach is a dynamically maintained segmentation-recognition candidate lattice that integrates multiple contexts including character classification, linguistic context and geometric context. Whenever a new stroke is produced, dynamic text line segmentation and character over-segmentation are performed to locate the position of the stroke in text lines and update the primitive segment sequence of the page. Candidate characters are then generated and recognized to assign candidate classes, and linguistic context and geometric context involving the newly generated candidate characters are computed. The candidate lattice is updated while the writing process continues. When the pen lift time exceeds a threshold, the system searches the candidate lattice for the result of sentence recognition. Since the computation of multiple contexts consumes the majority of computing and is performed during writing process, the recognition result is obtained immediately after the writing of a sentence is finished. Experiments on a large database CASIA-OLHWDB of unconstrained online Chinese handwriting demonstrate the robustness and effectiveness of the proposed approach. (C) 2012 Elsevier Ltd. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	CHARACTER-RECOGNITION ; SPEECH RECOGNITION ; LINE RECOGNITION ; CLASSIFICATION ; SEGMENTATION ; MODEL
收录类别	SCI
语种	英语
WOS记录号	WOS:000305845300008
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3093]
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.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Software, Intelligence Engn Lab, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Software, Comp Sci Lab, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Da-Han,Liu, Cheng-Lin,Zhou, Xiang-Dong. An approach for real-time recognition of online Chinese handwritten sentences[J]. PATTERN RECOGNITION,2012,45(10):3661-3675.
APA	Wang, Da-Han,Liu, Cheng-Lin,&Zhou, Xiang-Dong.(2012).An approach for real-time recognition of online Chinese handwritten sentences.PATTERN RECOGNITION,45(10),3661-3675.
MLA	Wang, Da-Han,et al."An approach for real-time recognition of online Chinese handwritten sentences".PATTERN RECOGNITION 45.10(2012):3661-3675.