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Recognizing online handwritten Chinese characters using RNNs with new computing architectures

文献类型：期刊论文

作者Ren, Haiqing1; Wang, Weiqiang2; Liu, Chenglin3
刊名PATTERN RECOGNITION
出版日期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
DOI10.1016/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.
WOS关键词RECOGNITION
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研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000472697800014
出版者ELSEVIER SCI LTD
资助机构National Key R&D Program of China ; NSFC ; NSFC Key Projects of International (Regional) Cooperation and Exchanges
源URL[http://ir.ia.ac.cn/handle/173211/26826]  
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
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.

入库方式： OAI收割

来源：自动化研究所

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