Deep learning based System for automatic motorcycle license plates detection and recognition
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03514-5.pdf
Reference28 articles.
1. Silva, S.M., Jung, C.R.: A Flexible Approach for automatic license plate recognition in unconstrained scenarios. IEEE Trans. Intell. Transp. Syst. 23(6), 5693–5703 (June 2022). https://doi.org/10.1109/TITS.2021.3055946
2. Zou, Y., Zhang, Y., Yan, J., Jiang, X., Huang, T., Fan, H., Cui, Z.: License plate detection and recognition based on YOLOv3 and ILPRNET, Signal. Image Video Process. 16, 473–480 (2022). https://doi.org/10.1007/s11760-021-01981-8
3. Silva, S.M., Jung, C.R.: Real-time license plate detection and recognition using deep convolutional neural networks. J. Vis. Commun. Image Represent. 71, 102773 (2020). https://doi.org/10.1016/j.jvcir.2020.102773
4. Sainui, J., Chaichan, T., Pattamawan, C.: Thai License Plate Recognition using SSD MobileNet and EasyOCR, Proceedings of the 2024 6th International Conference on Image Processing and Machine Vision. (2024)
5. Hosseini, S., Fathi, A.: Automatic detection of vehicle occupancy and driver’s seat belt status using deep learning. Signal. Image Video Process. 17, 491–499 (2023). https://doi.org/10.1007/s11760-022-02244-w
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