• DocumentCode
    537841
  • Title

    A Hierarchical Framework for 2D Data Matrix Recognition

  • Author

    Liu, Anan ; Dang, Tianyue ; Han, Dong ; Yang, Zhaoxuan

  • Author_Institution
    Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 Nov. 2010
  • Firstpage
    20
  • Lastpage
    23
  • Abstract
    2D barcode recognition technique and system play an important role in the industry application. It is extremely challenging to locate and recognize barcodes when the background is cluttered and the illumination is uneven. In this paper, we propose a hierarchical framework for 2D Data Matrix recognition and further introduce the 2D barcode recognition system based on the proposed method. The superiority of this framework lies in three folds: 1) it is robust to unbalancing illumination, geometric deformations and affine transform; 2) barcode region localization is performed to make the system robust to clutter background and to save computation complexity; 3) the floating DSP hardware platform guarantees the decoding accuracy and speed to attain a leading level. The large-scale experiment shows that the proposed framework can achieve high accuracy and robustness for 2D Data Matrix recognition and has been transferred into real production.
  • Keywords
    affine transforms; bar codes; digital signal processing chips; lighting; object recognition; 2D barcode recognition technique; 2D data matrix recognition; DSP hardware platform; affine transform; barcode region localization; geometric deformations; hierarchical framework; unbalancing illumination; 2D Data Matrix; binarization; floating DSP; localization; recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
  • Conference_Location
    Haiko
  • Print_ISBN
    978-1-4244-8683-0
  • Type

    conf

  • DOI
    10.1109/ICOIP.2010.298
  • Filename
    5663622