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A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks

  • Published:2021 Issue: Volume:9 Page:132301-132310
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Wang YintongORCID,Yang YingjieORCID,Ding WeipingORCID,Li Shuo

Funder

National Natural Science Foundation of China

Joint Research Grant of Royal Society and National Science Foundation of China

Natural Science Foundation of Jiangsu Province

Jiangsu Government Scholarship for Overseas Studies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

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1. A new fully convolutional neural network architecture with text kernel for offline handwritten chinese text recognition;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

2. Design and Research of Industrial High Availability Character Recognition Technology;2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2024-05-24

3. Multiscript Handwriting Recognition Using RNN Transformer Architecture;Lecture Notes in Networks and Systems;2024

4. A Review of the Current Status of AI Research in Handwritten Chinese Character Recognition;SHS Web of Conferences;2024

5. An End-to-End Offline Handwritten Tamil Text Identification Using Modified RAdam Optimizer with Effective Post-processing Techniques;EAI/Springer Innovations in Communication and Computing;2024
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