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Handwritten Chinese Character Text Recognition Based on Convolutional Recurrent Neural Network
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Rui-peng HU1, 2, Chun-yan HE1, 2, *, Wei-ming ZHANG1, 2, Li-xin ZHAO1, 2, Ming-bo LI3
Science Technology and Engineering | 2025, 25(4) : 1547 - 1554
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Science Technology and Engineering | 2025, 25(4): 1547-1554
• Papers·Automation and Computational Technology •
Handwritten Chinese Character Text Recognition Based on Convolutional Recurrent Neural Network
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Rui-peng HU1, 2, Chun-yan HE1, 2, *, Wei-ming ZHANG1, 2, Li-xin ZHAO1, 2, Ming-bo LI3
Affiliations
  • 1 Institute of Machinery and Equipment Engineering, Hebei University of Engineering, Handan 056038, China
  • 2 Key Laboratory of Intelligent Industrial Equipment Technology of Hebei Province, Hebei University of Engineering, Handan 056038, China
  • 3 Ji Zhi Kang (Beijing) Technology Co., Ltd., Beijing 102600, China
Published: 2025-02-08 doi: 10.12404/j.issn.1671-1815.2403015
Outline
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In order to solve the problems of large training parameters and low text recognition rate of convolutional recurrent neural networks (CRNN) handwritten Chinese character recognition network model, a novel method for handwritten Chinese character recognition based on attention bi-directional long short-term memory network(AT-BLSTM) and knowledge distillation (KD) technology was proposed. By assigning different weights to the input vector features of AT-BLSTM network, the model training data set was more efficient and accurate. Through KD technology, the knowledge acquired from a large high-performance model was transferred to a small model, which ensured the accuracy of the model, reduced the training parameters and internal storage ratio, and obtained a lightweight training model with better performance. Through the comparison of multiple groups of experiments, the accuracy of Chinese character recognition is increased by 6.7%, and the training parameters are reduced by 15.94 M. The recognition accuracy of this network model reaches 97.9%, and the recognition effect of Chinese characters is better.

convolutional recurrent neural networks (CRNN)  /  handwritten Chinese character text recognition  /  attention mechanism  /  knowledge distillation(KD)
Rui-peng HU, Chun-yan HE, Wei-ming ZHANG, Li-xin ZHAO, Ming-bo LI. Handwritten Chinese Character Text Recognition Based on Convolutional Recurrent Neural Network[J]. Science Technology and Engineering, 2025 , 25 (4) : 1547 -1554 . DOI: 10.12404/j.issn.1671-1815.2403015
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Article Info
doi: 10.12404/j.issn.1671-1815.2403015
  • Receive Date：2024-04-24
  • Online Date：2025-07-29
  • Published：2025-02-08
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History
  • Received：2024-04-24
  • Revised：2024-11-27
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Affiliations
    1 Institute of Machinery and Equipment Engineering, Hebei University of Engineering, Handan 056038, China
    2 Key Laboratory of Intelligent Industrial Equipment Technology of Hebei Province, Hebei University of Engineering, Handan 056038, China
    3 Ji Zhi Kang (Beijing) Technology Co., Ltd., Beijing 102600, China
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