• DocumentCode
    1664701
  • Title

    Minimum discrimination information bar code decoding

  • Author

    Turin, William ; Boie, Robert

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1996
  • Firstpage
    255
  • Lastpage
    258
  • Abstract
    The ubiquitous super market checkout scanner is indeed a well engineered and effective device. There is, nevertheless, demand for yet better devices. Existing scanners rely on simple and indeed low cost signal processing to interpret bar code signals. These methods, nevertheless, fundamentally limit label reading and can not be extended. A new method based on the deterministic expectation-maximization (DEM) algorithm is described here. First result show a substantial improvement in label reading depth-of-field, an important performance parameter for bar code readers
  • Keywords
    bar codes; decoding; deterministic algorithms; image coding; mark scanning equipment; optical information processing; bar code decoding; bar code readers; bar code signals; deterministic expectation-maximization algorithm; label reading depth of field; low cost signal processing; minimum discrimination information; performance parameter; super market checkout scanner; Bars; Decoding; Laboratories; Nonlinear filters; Optical filters; Optical signal processing; Photodetectors; Signal processing; Signal processing algorithms; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-7803-3330-6
  • Type

    conf

  • DOI
    10.1109/EEIS.1996.566943
  • Filename
    566943