Constructing Calligraphy Evaluation Model Based on Writing Movement with LSTM Network
Author:
Affiliation:
1. Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,Jiangsu,China,214122
2. Shanghai Institute of Visual Art,Shanghai,China,201620
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9775971/9776016/09776173.pdf?arnumber=9776173
Reference11 articles.
1. The Study of Chinese Calligraphy Font Style Based on Edge-Guided Filter and Convolutional Neural Network
2. Toward Automatic Recognition of Cursive Chinese Calligraphy : An Open Dataset For Cursive Chinese Calligraphy Text*
3. Convolutional LSTM network: A machine learning approach for precipitation nowcasting[C];shi;Advances in neural information processing systems,2015
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1. Chinese Character Font Classification in Calligraphy and Painting Works Based on Decision Fusion;2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2022-11
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