Drawing and Recognizing Chinese Characters with Recurrent Neural Network

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...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 40; H. 4; S. 849 - 862
Hauptverfasser:	Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Bengio, Yoshua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Character recognition discriminative model generative model GRU Handwriting Handwriting recognition LSTM Machine learning Model accuracy Neural networks Recurrent neural network Recurrent neural networks Shape State of the art Trajectory Writing
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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