• DocumentCode
    584673
  • Title

    Improving Barcode Detection with Combination of Simple Detectors

  • Author

    Bodnar, Peter ; Nyul, Laszlo G.

  • Author_Institution
    Dept. of Image Process. & Comput. Graphics, Univ. of Szeged, Szeged, Hungary
  • fYear
    2012
  • fDate
    25-29 Nov. 2012
  • Firstpage
    300
  • Lastpage
    306
  • Abstract
    Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we examine ensemble efficiency of those simple detectors using various aggregation methods. Using a combination of several simple features localization performance improves significantly.
  • Keywords
    bar codes; feature extraction; image processing; aggregation methods; barcode detection; detection accuracy; detection speed; ensemble efficiency; features localization performance; imaging conditions; morphological operations; real-life applications; simple detectors combination; Accuracy; Detectors; Feature extraction; Image edge detection; Noise; Probabilistic logic; Tiles; Hough transformation; barcode detection; clustering; computer vision; distance transformation; feature extraction; morphological filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
  • Conference_Location
    Naples
  • Print_ISBN
    978-1-4673-5152-2
  • Type

    conf

  • DOI
    10.1109/SITIS.2012.52
  • Filename
    6395110