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Weighted Edit Distance for Country Code Recognition in License Plates

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Název: Weighted Edit Distance for Country Code Recognition in License Plates
Autoři: Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
Informace o vydavateli: Zenodo
Rok vydání: 2022
Sbírka: Zenodo
Témata: license plate recognition, edit distance, Leven- shtein distance, country code recognition
Popis: This 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. ; This work was supported by Business Finland project 5G-VIIMA. A. Iosifidis acknowledges funding from the EU H2020 research and innovation program under grant agreement No. 957337 (MARVEL).
Druh dokumentu: conference object
Jazyk: English
Relation: https://zenodo.org/communities/marvel_project/; https://zenodo.org/communities/eu/; https://zenodo.org/records/6736842; oai:zenodo.org:6736842; https://doi.org/10.5281/zenodo.6736842
DOI: 10.5281/zenodo.6736842
Dostupnost: https://doi.org/10.5281/zenodo.6736842
https://zenodo.org/records/6736842
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Přístupové číslo: edsbas.E8DBD50B
Databáze: BASE
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  – Url: https://doi.org/10.5281/zenodo.6736842#
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Weighted Edit Distance for Country Code Recognition in License Plates
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kateryna+Chumachenko%22">Kateryna Chumachenko</searchLink><br /><searchLink fieldCode="AR" term="%22Alexandros+Iosifidis%22">Alexandros Iosifidis</searchLink><br /><searchLink fieldCode="AR" term="%22Moncef+Gabbouj%22">Moncef Gabbouj</searchLink>
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  Label: Publisher Information
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  Data: Zenodo
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  Label: Publication Year
  Group: Date
  Data: 2022
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  Label: Collection
  Group: HoldingsInfo
  Data: Zenodo
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22license+plate+recognition%22">license plate recognition</searchLink><br /><searchLink fieldCode="DE" term="%22edit+distance%22">edit distance</searchLink><br /><searchLink fieldCode="DE" term="%22Leven-+shtein+distance%22">Leven- shtein distance</searchLink><br /><searchLink fieldCode="DE" term="%22country+code+recognition%22">country code recognition</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This 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. ; This work was supported by Business Finland project 5G-VIIMA. A. Iosifidis acknowledges funding from the EU H2020 research and innovation program under grant agreement No. 957337 (MARVEL).
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  Data: https://zenodo.org/communities/marvel_project/; https://zenodo.org/communities/eu/; https://zenodo.org/records/6736842; oai:zenodo.org:6736842; https://doi.org/10.5281/zenodo.6736842
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  Data: 10.5281/zenodo.6736842
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  Data: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
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      – Type: doi
        Value: 10.5281/zenodo.6736842
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: license plate recognition
        Type: general
      – SubjectFull: edit distance
        Type: general
      – SubjectFull: Leven- shtein distance
        Type: general
      – SubjectFull: country code recognition
        Type: general
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      – TitleFull: Weighted Edit Distance for Country Code Recognition in License Plates
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          Name:
            NameFull: Kateryna Chumachenko
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            NameFull: Alexandros Iosifidis
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            NameFull: Moncef Gabbouj
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              M: 01
              Type: published
              Y: 2022
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