Recognizing online handwritten Chinese characters using RNNs with new computing architectures

doi:10.1016/j.patcog.2019.04.015

	Recognizing online handwritten Chinese characters using RNNs with new computing architectures
	Ren, Haiqing 1; Wang, Weiqiang 2; Liu, Chenglin3
刊名	PATTERN RECOGNITION
	2019-09-01
卷号	93 页码:179-192
关键词	Online handwritten Chinese character recognition Recurrent neural network New computing architectures
ISSN号	0031-3203
DOI	10.1016/j.patcog.2019.04.015
通讯作者	Wang, Weiqiang(wqwang@ucas.ac.cn)
英文摘要	Although online handwritten Chinese characters recognition has been explored for decades, it is still a challenging task to recognize handwritten Chinese characters accurately. In this paper, we propose an end-to-end recognizer for online handwritten Chinese characters recognition based on a new recurrent neural network (RNN). In the system, two new computing architectures are proposed based on traditional RNN system. One is the variance constraint, and the other is attention weight vector. The variance constraint is used to increase the representation ability of RNN, and the attention weight vector is used to describe the importance of hidden layer states at different time steps. Benefited from the two innovations, the recognition system obtains higher recognition accuracy with fewer parameters. Experiments are carried out on two handwritten Chinese character datasets, lAHCC-UCAS2016 dataset and ICDAR-2013 competition database. The experimental results show that the two innovations are effective, and the proposed end-to-end recognizer obtains better performance than the state-of-the-art methods. (C) 2019 Elsevier Ltd. All rights reserved.
资助项目	National Key R&D Program of China[2017YFB1002203] ; NSFC[61772495] ; NSFC Key Projects of International (Regional) Cooperation and Exchanges[61860206004]
WOS关键词	RECOGNITION
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000472697800014
资助机构	National Key R&D Program of China ; NSFC ; NSFC Key Projects of International (Regional) Cooperation and Exchanges
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/26826]
专题	中国科学院自动化研究所
通讯作者	Wang, Weiqiang
作者单位	1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Controlling Engn, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Ren, Haiqing,Wang, Weiqiang,Liu, Chenglin. Recognizing online handwritten Chinese characters using RNNs with new computing architectures[J]. PATTERN RECOGNITION,2019,93:179-192.
APA	Ren, Haiqing,Wang, Weiqiang,&Liu, Chenglin.(2019).Recognizing online handwritten Chinese characters using RNNs with new computing architectures.PATTERN RECOGNITION,93,179-192.
MLA	Ren, Haiqing,et al."Recognizing online handwritten Chinese characters using RNNs with new computing architectures".PATTERN RECOGNITION 93(2019):179-192.