Dynamic Updating of Partial Feature Maps for Image-based Real-Time Recognition of Online Handwritten Chinese Text

Author:

Wu Yuefeng1,Zhong Ying1,Wang Da-Han1,Chi Xueke1

Affiliation:

1. Computer and Information Engineering, Xiamen University of Technology, China and Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen University of Technology, China

Funder

Industry-University Cooperation Project of Fujian Science and Technology Department

Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Joint Funds of 5th Round of Health and Education Research Program of Fujian Province

Publisher

ACM

Reference23 articles.

1. An approach for real-time recognition of online Chinese handwritten sentences

2. Recognizing online handwritten Chinese characters using RNNs with new computing architectures;Ren H;Pattern Recognition,2019

3. In-air handwritten Chinese text recognition with temporal convolutional recurrent network;Gan J;Pattern Recognition,2020

4. A new hybrid-parameter recurrent neural network for online handwritten Chinese character recognition;Ren H;Pattern Recognition Letters,2019

5. Xingjian S H I , Chen Z , Wang H , Convolutional LSTM network: A machine learning approach for precipitation nowcasting . In: Advances in neural information processing systems , 2015 . 802-810 Xingjian S H I, Chen Z, Wang H, Convolutional LSTM network: A machine learning approach for precipitation nowcasting. In: Advances in neural information processing systems, 2015. 802-810

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