• DocumentCode
    2833915
  • Title

    New approaches for license plate recognition system

  • Author

    Nathan, Vidhya Sudhan L ; Ramkumar, J. ; Kamakshi, S. Priya

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Sri Ramakrishna Eng. Coll., Coimbatore, India
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    149
  • Lastpage
    152
  • Abstract
    In this paper, we describe two new approaches for segmenting and recognizing license plate. The first method exploits the fact that edges are most densely found in the region that contains the license plate. We have proposed a weight allocation scheme which segments the region with the most dense edges. The second method uses a hybrid neural network which we propose. The efficiency of the license plate recognition systems using the proposed methods have been studied.
  • Keywords
    character recognition; image recognition; image segmentation; neural nets; character recognition; character segmentation; hybrid neural network; license plate recognition system; weight allocation scheme; Character recognition; Computer vision; Educational institutions; Filters; Image edge detection; Image recognition; Image segmentation; Licenses; Neural networks; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensing and Information Processing, 2004. Proceedings of International Conference on
  • Print_ISBN
    0-7803-8243-9
  • Type

    conf

  • DOI
    10.1109/ICISIP.2004.1287642
  • Filename
    1287642