• DocumentCode
    1611235
  • Title

    An Algorithm Based on Geometric Region to Correct Tilt License Plates

  • Author

    Hong, Zhu Liang ; Feng, Liang Song

  • Author_Institution
    Shenzhen Polytech., Shenzhen, China
  • fYear
    2012
  • Firstpage
    665
  • Lastpage
    667
  • Abstract
    In the vehicle license plate recognition system(LPR), the license plate image would inevitably tilt to an extent. However, the tilt images will bring more difficult for further accurate segmentation and identification of characters, will eventually affect the recognition accuracy greatly. The traditional methods which based on Hough transform, in many situation, often can not accurately and promptly correct the plates, moreover, it needs a great amount of calculation, so the overall result is unsatisfactory. In this paper, Using a new algorithm based on geometric region, through rotating license plates, seeking for the minimum geometry region, then fast and accurate correction plates. The experimental results show that this method can detect the angle of tilt plates with simple calculation and high precision, which is better than the traditional algorithm based on Hough transform.
  • Keywords
    Hough transforms; computational geometry; image segmentation; object detection; object recognition; traffic engineering computing; Hough transform; LPR; character identification; character segmentation; license plate image; license plate rotation; minimum geometry region; tilt license plate correction; tilt plate angle detection; vehicle license plate recognition system; Accuracy; Character recognition; Geometry; Image segmentation; Licenses; Transforms; Vehicles; Coordinate rotation translation; Geometric region; Hough transform; Plates correction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.180
  • Filename
    6322469