• DocumentCode
    3417990
  • Title

    Automatic Recognition of Noisy Code-39 Barcode

  • Author

    Fang, Xianyong ; Wu, FuLi ; Luo, Bin ; Zhao, Haifeng ; Wang, Peng

  • Author_Institution
    Minist. of Educ., Anhui Univ., Hefei
  • fYear
    2006
  • fDate
    Nov. 29 2006-Dec. 1 2006
  • Firstpage
    79
  • Lastpage
    82
  • Abstract
    Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images.
  • Keywords
    bar codes; decoding; filtering theory; image coding; image denoising; image matching; decoding; image denoising; image matching; image search; middle band filter; noisy code-39 barcode recognition; Bars; Decoding; Educational institutions; Educational technology; Equations; Image edge detection; Image recognition; Low pass filters; Robustness; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Reality and Telexistence--Workshops, 2006. ICAT '06. 16th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    0-7695-2754-X
  • Type

    conf

  • DOI
    10.1109/ICAT.2006.45
  • Filename
    4089215