• DocumentCode
    186444
  • Title

    A research on QR Code recognition enhancement using pre-constructed image matching scheme

  • Author

    Misun Ahn ; Sungwon Lee

  • Author_Institution
    Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    82
  • Lastpage
    83
  • Abstract
    Recently, as the smartphone market is growing rapidly, the amount of using QR Code with smartphone is increasing together. This paper proposes a new method for improving the rate of QR Code recognition on smartphone. In some angles, sometimes, a few applications cannot recognize QR code. So, this method make it possible to recognize the QR Code any angle. In order to find an original QR Code we proposes a method which recognizes QR code imaginary at first, then send information of this QR Code to an area of QR database. Finally we use `image matching method´ between recognition of QR Code and the database we already had.
  • Keywords
    QR codes; image matching; smart phones; QR code recognition enhancement; QR database; image matching method; preconstructed image matching scheme; smartphone market; Computers; Educational institutions; Image matching; Image recognition; Mobile handsets; Servers; QR Code; cloud; image matching; recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology Convergence (ICTC), 2014 International Conference on
  • Conference_Location
    Busan
  • Type

    conf

  • DOI
    10.1109/ICTC.2014.6983088
  • Filename
    6983088