Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences

Theoretical and Natural Science

Vol. 19, 08 December 2023

Open Access | Article

License plate Chinese character recognition based on ViT model

Xiaoyu Zhang * 1
1 South China University of Technology

* Author to whom correspondence should be addressed.

Advances in Humanities Research, Vol. 19, 1-5
Published 08 December 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Xiaoyu Zhang. License plate Chinese character recognition based on ViT model. TNS (2023) Vol. 19: 1-5. DOI: 10.54254/2753-8818/19/20230458.


Transformer applications have been widely used in the computer vision field. Many related literatures show that the advantages of the model such as increased receptive field and globality are gradually emerging in image processing. However, with the popularity of the transformer, whether it can compete with the convolutional neural network (CNN) in terms of performance is still questionable and remains to be further studied. This paper will use the most basic structural model in the visual transformer (ViT) to classify and identify Chinese characters that are frequently used in the field of transportation and logistics and compare them with two classical CNN models. The results demonstrate that the performance of the transformer is obviously better than that of the traditional CNN structure, and the final accuracy of character recognition is higher than that of CNN, up to 98.66 %. It fully shows the infinite potential and excellent performance of the transformer in the area of computer vision and has high reliability and generalization ability.


Chinese characters, vision transformer, convolutional neural network.


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11. Zhengqiang Liu. (2016). Application of deep learning algorithm in license plate recognition system.University of Electronic Science and Technology of China,MA thesis.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics
ISBN (Print)
ISBN (Online)
Published Date
08 December 2023
Theoretical and Natural Science
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© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated