• DocumentCode
    3027295
  • Title

    Research on the license plate position algorithm in complicated scenes

  • Author

    Gao Xiaorong ; Hou Linli ; Zhou Xiaohong ; Yang Kai

  • Author_Institution
    Photoelectric Eng. Inst., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    3210
  • Lastpage
    3213
  • Abstract
    The license plate location plays an important role in the License Plate Recognition (LPR). According to the vertical projection and the morphological operations, this paper proposes a kind of locating method based on binary image in order to obtain accurate location of vehicle plate quickly under complex background. First, this method carries out preprocessing such as the color image grays processing, the binarization, filtering and noise abatement. Then the projection approach based on texture feature of license plate character is adopted to realize the rough location. On this basis, the up-down and left-right boundary of the car license are all examined accurately in accordance with the projection and the morphological operations. Experimental results show that this method is excellent in accuracy with a rapid speed and is great in the robustness.
  • Keywords
    character recognition; filtering theory; image colour analysis; image denoising; image recognition; binarization; binary image; color image grays processing; complicated scenes; filtering; license plate character; license plate location; license plate position algorithm; license plate recognition; morphological operation; noise abatement; texture feature; vertical projection; Accuracy; Algorithm design and analysis; Arrays; Gray-scale; Licenses; Robustness; Vehicles; License plate location; Projection Method; binarization; complex background; license plate recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6001916
  • Filename
    6001916