Learning to Decipher License Plates in Severely Degraded Images-Reference-Cited by-同舟云学术

Learning to Decipher License Plates in Severely Degraded Images

Published:2021 Issue: Volume: Page:544-559
ISSN:0302-9743
Container-title:Pattern Recognition. ICPR International Workshops and Challenges
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Author:

Kaiser Paula,Schirrmacher Franziska^ORCID,Lorch Benedikt^ORCID,Riess Christian^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-68780-9_43

Reference24 articles.

1. Abdullah, S., Mahedi Hasan, M., Islam, S.: YOLO-based three-stage network for Bangla license plate recognition in Dhaka metropolitan city. In: International Conference on Bangla Speech and Language Processing, pp. 1–6 (2018)

2. Agarwal, S., Tran, D., Torresani, L., Farid, H.: Deciphering severely degraded license plates. In: Media Watermarking, Security, and Forensics, pp. 138–143 (2017)

3. Arafat, M.Y., Khairuddin, A.S.M., Khairuddin, U., Paramesran, R.: Systematic review on vehicular licence plate recognition framework in intelligent transport systems. IET Intel. Transport Syst. 13, 745–755 (2019)

4. Du, S., 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)

5. Farid, H.: Photo Forensics. MIT Press, Cambridge (2016)

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