• DocumentCode
    2133151
  • Title

    Research of Improving the Accuracy of License Plate Character Segmentation

  • Author

    Qiao, Shuang ; Zhu, Yan ; Li, Xiufen ; Liu, Taihui ; Zhang, Baoxue

  • Author_Institution
    Northeast Normal Univ., Changchun, China
  • fYear
    2010
  • fDate
    18-22 Aug. 2010
  • Firstpage
    489
  • Lastpage
    493
  • Abstract
    In order to improve the accuracy of license plate character segmentation, this paper strengthens preprocessings before segmentation. In character binarization, use improved Bernsen method to reduce noise interference; use line-shape filter to remove plate frames. Then character segmentation approach combines projection and inherent characteristics of character, can better solve character adhesion and fracture problem. For tilted characters only in horizontal direction, even without tilt correction, this method can achieve better segmentation. Experiment results shows the accuracy of character segmentation reaches 97%.
  • Keywords
    automated highways; character recognition; image segmentation; traffic information systems; Bernsen method; character adhesion; character binarization; license plate character segmentation; line shape filter; noise interference; plate frames; Character recognition; Image recognition; Image segmentation; Licenses; Noise; Pixel; Bernsen method; Binarization; License plate character segmentation; Line-shape filter; projectioon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
  • Conference_Location
    Changchun, Jilin Province
  • Print_ISBN
    978-1-4244-7779-1
  • Type

    conf

  • DOI
    10.1109/FCST.2010.75
  • Filename
    5575533