• DocumentCode
    260236
  • Title

    Algorithms for licenseplate detection: A survey

  • Author

    Farajian, Nima ; Rahimi, Morteza

  • Author_Institution
    Eng. Dept., Eyvanekey Inst. of Higher Educ., Eyvanekey, Iran
  • fYear
    2014
  • fDate
    26-27 Nov. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    To identify a vehicle, License Plate identification technology is the key technology of intelligent transport system, finding a stohn vehicle, monitoring traffic flow, in town management, highway tolls etc. The major issue in such applications is to detect the exact location of plate, because finding the location of number plate could vary and as well as its size and color; many of the vehicles have an uncertain difference in License plate position, location and unclean License Plate. In this paper we have conducted a very fresh survey of most authentic techniques of license plate detection from a car, we studied different techniques and compared them; we figured out every technique has its own limitations, every method gives best results under some certain conditions so do bad results, we figured out all we need to do is to have locus of control, we shall control theenvironment we are working in, some techniques works good in dark light, some for bright light etc; every technique has its own parameters to identify license plate; this paper will lead you to choose the best technique for detection just according to your circumstance.
  • Keywords
    image recognition; object detection; car license plate; license plate detection algorithms; license plate identification; Biological neural networks; Histograms; Image color analysis; Image edge detection; Licenses; Transforms; Vehicles; ANN (artificial neural networks); DWT (Discrete wavelet transform); License plate detection; Morphological Operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology, Communication and Knowledge (ICTCK), 2014 International Congress on
  • Conference_Location
    Mashhad
  • Type

    conf

  • DOI
    10.1109/ICTCK.2014.7033529
  • Filename
    7033529