SVM-Based Vehicle Number Plate Detection and Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2742-5_50
Reference18 articles.
1. Montazzolli S, Jung C (2017) Real-time Brazilian license plate detection and recognition using deep convolutional neural networks. In: Proceedings of 30th SIBGRAPI conference on graphics, patterns images, Oct 2017, pp 55–62
2. Hsu G-S, Ambikapathi A, Chung S-L, Su C-P (2017) Robust license plate detection in the wild. In: Proceedings of 14th IEEE international conference on advanced video signal based Surveill (AVSS) (2017), pp 1–6
3. Xie L, Ahmad T, Jin L, Liu Y, Zhang S (2018) A new CNN-based method for multi-directional car license plate detection. IEEE Trans Intell Transp Syst 19(2):507–517
4. Laroca R, Severo E, Zanlorensi LA, Oliveira LS, Goncalves GR, Schwartz WR, Menotti D (2018) A robust real-time automatic license plate recognition based on the YOLO detector. In: Proceedings of international joint conference on neural network (IJCNN), July 2018, pp 1–10
5. Wang D, Tian Y, Geng W, Zhao L, Gong C (2020) LPR-Net: recognizing Chinese license plate in complex environments. Patt Recognit Lett 130:148–156
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