Research on Offline Handwritten Chinese Character Recognition Algorithm Based on Gated Convolution and Stacked Self-Attention-Reference-Cited by-同舟云学术

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Research on Offline Handwritten Chinese Character Recognition Algorithm Based on Gated Convolution and Stacked Self-Attention

Published:2024 Issue:05 Volume:14 Page:48-60
ISSN:2161-8801
Container-title:Computer Science and Application
language:
Short-container-title:CSA

Author:

罗序良

Publisher

Hans Publishers

Reference21 articles.

1. Online and offline handwritten Chinese character recognition: Benchmarking on new databases

2. Multi-lingual Offline Handwriting Recognition Using Hidden Markov Models: A Script-Independent Approach

3. Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models

4. Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2012) ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems, 25, 1-9.

5. Evaluation and Recognition of Handwritten Chinese Characters Based on Similarities

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