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Weighted Edit Distance for Country Code Recognition in License Plates

AuthorsKateryna Chumachenko, Alexandros Iosifidis and Moncef Gabbouj
TitleWeighted Edit Distance for Country Code Recognition in License Plates
AbstractThis paper presents the problem of country code recognition from license plate images. We propose an approach based on character detection and subsequent clustering for country code localization. We further propose three weighted Edit Distance metrics for country of origin prediction from imperfect detections, namely based on character similarity, detection confidence, and relative operation importance. Experimental results show the benefit of proposed approaches on real-world data. The proposed method is lightweight and independent of the underlying object detector, facilitating its application on edge devices.
ISBNΝ/Α
ConferenceEuropean Signal Processing Conference
Date29 August – 2 September, 2022
LocationBelgrade, Serbia
Year of Publication, Publisher2022
Urlhttps://zenodo.org/record/6736842#.YrlIn3ZBy3B
DOIDOI
  
  

Key Facts

  • Project Coordinator: Dr. Sotiris Ioannidis
  • Institution: Foundation for Research and Technology Hellas (FORTH)
  • E-mail: marvel-info@marvel-project.eu 
  • Start: 01.01.2021
  • Duration: 36 months
  • Participating Organisations: 17
  • Number of countries: 12

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This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.