Deep Learning for License Plate Number Recognition: A Survey
With the continuous development of deep learning technology, object detection has become an important research direction in this field. The purpose of this study is to review the deep learning techniques and typical deep networks for license plate number detection and recognition in recent years, including CNN, RNN, GAN, Transformer, and Diffusion Model. Furthermore, we compare the advantages and disadvantages of these methods. Finally, some challenges and future development directions of deep learning technology in license plate number detection and recognition are pointed out.
Authors
- Zhuoqun Fu (ORCID: https://orcid.org/0000-0002-6265-0151)
Institutions
- Northwestern Polytechnical University (CN)
Publication Details
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1109/iccsi62669.2024.10799401
- Citations
- 1
- Primary Topic
- Vehicle License Plate Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.32