an approach for real-time recognition of online chinese handwritten sentences

ISCAS OpenIR

	an approach for real-time recognition of online chinese handwritten sentences
	Wang Da-Han; Liu Cheng-Lin; Zhou Xiang-Dong
	2012
发表期刊	Pattern Recognition
ISSN	313203
卷号	45 期号:10 页码:3661-3675
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. © 2012 Elsevier Ltd.
收录类别	ei
部门归属	(1) National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguan East Road, Beijing 100190, China; (2) Intelligence Engineering Lab, Institute of Software, Chinese Academy of Sciences, P.O. Box 8718, Beijing 100190, China
语种	英语
WOS记录号	WOS:000305845300008
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/14739
专题	中国科学院软件研究所
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.

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