Automated License Plate Recognition Process Enhancement with Convolutional Neural Network Based Detection System to Improve the Accuracy and Reliability of Vehicle Recognition-Reference-Cited by-同舟云学术

Automated License Plate Recognition Process Enhancement with Convolutional Neural Network Based Detection System to Improve the Accuracy and Reliability of Vehicle Recognition

Published:2022 Issue: Volume: Page:248-259
ISSN:2367-4512
Container-title:Advances in Computer Science for Engineering and Education
language:
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Author:

Anton Yakovlev,Oleh Lisovychenko

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-04812-8_21

Reference47 articles.

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3. European regional status report on road safety 2019, ISBN 978 92 890 5498 0 (2019). https://apps.who.int/iris/bitstream/handle/10665/336584/9789289054980-eng.pdf

4. The European Automobile Manufacturers’ Association: NEW PASSENGER CAR REGISTRATIONS, EUROPEAN UNION. 16 September 2021 (2021). https://www.acea.auto/files/20210916_PRPC_2107-08-FINAL.pdf

5. Shan, D., Ibrahim, M., Shehata, M., Badawy, W.: Automatic license plate recognition (ALPR): a state-of-the-art review. IEEE Trans. Circuits Syst. Video Technol. 23(2), 311–325 (2013). https://doi.org/10.1109/TCSVT.2012.2203741. S2CID 206661467

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