• DocumentCode
    3213363
  • Title

    Automatic authorized vehicle recognition system

  • Author

    Swetha, V. ; Sandeep, D.R.

  • Author_Institution
    ECE Dept., Sri Vasavi Eng. Coll., Tadepalligudem, India
  • fYear
    2011
  • fDate
    20-22 July 2011
  • Firstpage
    789
  • Lastpage
    790
  • Abstract
    The growth of technology is increasing day by day to fulfill the human needs. The proposed system is implemented to make human work easier. ANPR is an image processing technology which uses number plate to identify the vehicle. The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate. The system is implemented on the entrance of a highly restricted areas for security e.g. Parliament, military zones, Supreme Court etc. The proposed algorithm consists of four major parts: vehicle detection, extraction of plate region, classification of a vehicle and recognition of plate characters. For vehicle detection moving object detecting algorithm is used. For extracting the plate region smearing algorithm and segmentation are used. The alpha numeric characters are recognized by using OCR. The resulting data is then used to compare with the database so as to come up with the specific information like the vehicle´s owner, place of registration, address, etc. The system is implemented and simulated in Mat lab, and its performance is tested on a real image.
  • Keywords
    feature extraction; image classification; object detection; optical character recognition; traffic engineering computing; Matlab; authorized vehicle recognition system; image segmentation; optical character recognition; plate character recognition part; plate region extraction part; plate region smearing algorithm; vehicle classification part; vehicle detection part; vehicle number plate; Number Plate Recognition; character recognition; optical character recognition; plate extraction; vehicle identifi cation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Energy and Intelligent Systems (SEISCON 2011), International Conference on
  • Conference_Location
    Chennai
  • Type

    conf

  • DOI
    10.1049/cp.2011.0471
  • Filename
    6143420