• DocumentCode
    1590618
  • Title

    Retrospective tracking for barcode reading

  • Author

    Tseng, Chun-Shun ; Wang, Kai-Tse ; Wu, Ming-Chang ; Cheng, Nai-Yuan ; Wang, Jung-Hua

  • Author_Institution
    Electr. Eng. Dept., Nat. Taiwan Ocean Univ., Keelung, Taiwan
  • fYear
    2010
  • Firstpage
    114
  • Lastpage
    119
  • Abstract
    A novel method for fast reading barcodes commonly encountered in industrial applications is presented. The method mainly consists of two stages: (1) a process characterizing in cross scanning an overly downscaled image to extract candidate barcode skeletons is used to locate barcodes in an image, wherein at least one skeleton is extracted from the downscaled binary image; coordinates of at least one point of each skeleton are enlarged back to their original resolution and used as center points of plural detection windows in the original image plane. (2) a Sobel-based grading scheme is employed to determine wining detection windows for reading barcodes, wherein a retrospective tracking mechanism is proposed to deal with warped, slanted or even stained barcodes. Since the center points of the wining detection windows are directly treated as sampling points of the barcodes, pixel by pixel search is dispensable and computation time can be greatly reduced.
  • Keywords
    bar codes; feature extraction; image processing; sampling methods; Sobel-based grading scheme; barcode reading; candidate barcode skeletons; cross scanning; downscaled binary image; downscaled image; industrial applications; plural detection windows; retrospective tracking; sampling points; wining detection windows; Application software; Cameras; Data mining; Decoding; Image resolution; Layout; Manufacturing automation; Mobile handsets; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    978-1-4244-7298-7
  • Type

    conf

  • DOI
    10.1109/INDIN.2010.5549451
  • Filename
    5549451