Convolutional Neural Network Based Attentive Model for Vehicle License Plate Identification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5504-2_72
Reference13 articles.
1. Ha, M.-H., Chen, O.T.-C.: Action recognition improved by correlations and attention of subjects and scene. In: Proceedings of the IEEE International Conference on Visual Communications and Image Processing, pp. 1–5 (2021)
2. Yonetsu, S., Iwamoto, Y., Chen, Y.W.: Two-stage YOLOv2 for accurate license-plate detection in complex scenes. In: Proceedings of the IEEE International Conference on Consumer Electronics. IEEE (2019)
3. Kong, X., et al.: A federated learning-based license plate recognition scheme for 5G-enabled internet of vehicles. IEEE Trans. Ind. Inform. 17(12), 8523–8530 (2021)
4. Wang, W., et al.: A light CNN for end-to-end car license plates detection and recognition. IEEE Access 7, 173875–173883 (2019). https://doi.org/10.1109/ACCESS.2019.2956357
5. Chen, O.T.-C., Ha, M.-H., Lee, Y.L.: Computation-affordable recognition system for activity identification using a smart phone at home. In: Proceedings of the IEEE International Symposium on Circuits and Systems, pp. 1–5 (2020)
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