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Drawing and Recognizing Chinese Characters with Recurrent Neural Network

文献类型：期刊论文

作者Zhang, Xu-Yao1; Yin, Fei1; Zhang, Yan-Ming1; Liu, Cheng-Lin1,2; Bengio, Yoshua3
刊名IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
出版日期2018-04-01
卷号40期号:4页码:849-862
关键词Recurrent Neural Network Lstm Gru Discriminative Model Generative Model Handwriting
DOI10.1109/TPAMI.2017.2695539
文献子类Article
英文摘要Recent deep learning based approaches have achieved great success on handwriting recognition. Chinese characters are among the most widely adopted writing systems in the world. Previous research has mainly focused on recognizing handwritten Chinese characters. However, recognition is only one aspect for understanding a language, another challenging and interesting task is to teach a machine to automatically write (pictographic) Chinese characters. In this paper, we propose a framework by using the recurrent neural network (RNN) as both a discriminative model for recognizing Chinese characters and a generative model for drawing (generating) Chinese characters. To recognize Chinese characters, previous methods usually adopt the convolutional neural network (CNN) models which require transforming the online handwriting trajectory into image-like representations. Instead, our RNN based approach is an end-to-end system which directly deals with the sequential structure and does not require any domain-specific knowledge. With the RNN system (combining an LSTM and GRU), state-of-the-art performance can be achieved on the ICDAR-2013 competition database. Furthermore, under the RNN framework, a conditional generative model with character embedding is proposed for automatically drawing recognizable Chinese characters. The generated characters (in vector format) are human-readable and also can be recognized by the discriminative RNN model with high accuracy. Experimental results verify the effectiveness of using RNNs as both generative and discriminative models for the tasks of drawing and recognizing Chinese characters.
WOS关键词HANDWRITING RECOGNITION COMPETITION ; OF-THE-ART ; ONLINE ; DATABASES ; ORDER
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000426687100006
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02060009) ; National Natural Science Foundation of China(61403380 ; 61573355)
源URL[http://ir.ia.ac.cn/handle/173211/15357]  
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, NLPR, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100049, Peoples R China
3.Univ Montreal, MILA Lab, Montreal, PQ H3T 1J4, Canada
推荐引用方式
GB/T 7714		 Zhang, Xu-Yao,Yin, Fei,Zhang, Yan-Ming,et al. Drawing and Recognizing Chinese Characters with Recurrent Neural Network[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2018,40(4):849-862.
APA Zhang, Xu-Yao,Yin, Fei,Zhang, Yan-Ming,Liu, Cheng-Lin,&Bengio, Yoshua.(2018).Drawing and Recognizing Chinese Characters with Recurrent Neural Network.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,40(4),849-862.
MLA Zhang, Xu-Yao,et al."Drawing and Recognizing Chinese Characters with Recurrent Neural Network".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 40.4(2018):849-862.

入库方式： OAI收割

来源：自动化研究所

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