• DocumentCode
    3021665
  • Title

    License Plate Recognition: A review

  • Author

    Kulkarni, Parag ; Khandebharad, A. ; Khope, D. ; Chavan, P.U.

  • Author_Institution
    Dept. of Electron. & Tele-Commun. Eng., Vishwakarma Inst. of Inf. Technol., Pune, India
  • fYear
    2012
  • fDate
    13-15 Dec. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The License Plate Recognition (LPR) system is one of the most important criterions of mass surveillance method. LPR systems are generally Composed of three steps namely, 1] plate extraction, 2] character Segmentation and 3] Recognition. License Plate Recognition is a crucial task due to the non-uniformity in license plates and the illumination conditions. Most of the developed techniques work under specific conditions such as image capturing angle, illumination, stationary background. All the given LPR techniques vary on the basis of processing time, required computational power and accuracy. Since the absence of any standard, these techniques are incomparable but an efficient path for specified requirements can be judged. Hence we are proposing a Novel idea of Arduino based License Plate Recognition.
  • Keywords
    automated highways; feature extraction; image recognition; image segmentation; lighting; optical character recognition; surveillance; Arduino based license plate recognition system; LPR systems; LPR techniques; character segmentation; computational accuracy; computational power; illumination conditions; image capturing angle; license plate nonuniformity; mass surveillance method; plate extraction; processing time; stationary background; Character recognition; Image color analysis; Image edge detection; Image resolution; Image segmentation; Licenses; Transforms; Arduino; Character Segmentation; License Plate Recognition; Plate Extraction; Recognition; Survey;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing (ICoAC), 2012 Fourth International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-5583-4
  • Type

    conf

  • DOI
    10.1109/ICoAC.2012.6416843
  • Filename
    6416843