• DocumentCode
    3727598
  • Title

    Using multi-resolution analysis and fractal geometry to locate license plate

  • Author

    Li -Tien Wang; Jhe-An Lee; Wen-Li Lee

  • Author_Institution
    Department of Computer Science and Information Engineering, Ming Chuan University, Taoyuan 333, Taiwan
  • fYear
    2015
  • Firstpage
    982
  • Lastpage
    987
  • Abstract
    License plate location plays a key role in the license plate recognition system. In this study, we proposed a method to reduce the interference caused by the external environment. Based on multi-resolution fractal feature, the candidate area of license plate location can be effectively extracted from the captured image. Finally, an algorithm of license plate location is proposed to locate the license plate. From the experimental results, the license plate location is 100% of and non-plate rejection is 98.4% for the images captured under diverse weather conditions.
  • Keywords
    "Licenses","Image edge detection","Fractals","Feature extraction","Training","Filter banks","Wavelet transforms"
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2015 11th International Conference on
  • Electronic_ISBN
    2157-9563
  • Type

    conf

  • DOI
    10.1109/ICNC.2015.7378125
  • Filename
    7378125