• DocumentCode
    2979731
  • Title

    One of the image correction algorithms of QR code and its implementation based on wavelet transform

  • Author

    Chun Jin ; Jianghong Yuan ; Leilei Li ; Eryang Chen ; Gang Han ; Tao Tang

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2012
  • fDate
    22-24 June 2012
  • Firstpage
    93
  • Lastpage
    98
  • Abstract
    To improve the operation speed and accuracy of two-dimensional barcodes image-correction, this paper proposed a QR code edge detection method based on wavelet transform. Firstly, we take advantage of the characteristics of multi-resolution analysis of wavelet transformation to denoise the QR code image. And then multi-level wavelet decomposition is done to the denoised image, from which we can obtain the wavelet coefficient at all levels. And finally, we refine the edge processing to get the target image. Tests result shows that the algorithm can not only obtain good edge detection effect, but also greatly simplify the calculation. What´s more, it can reduce the noise effectively.
  • Keywords
    bar codes; edge detection; image coding; image denoising; image resolution; wavelet transforms; 2D barcodes image correction algorithms; QR code edge detection method; QR code image denoising; edge processing; multilevel wavelet decomposition; multiresolution analysis; wavelet transformation; Companies; Image resolution; Manganese; Noise; Transforms; Edge Detection; Image Recognition; QR Code; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2007-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2012.6269413
  • Filename
    6269413