• DocumentCode
    3168433
  • Title

    Marking text features of document images to deter illicit dissemination

  • Author

    Brassil, J.T. ; Low, S. ; Maxemchuk, N.F. ; Gorman, L.O.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    315
  • Abstract
    A major impediment to the widespread adoption of services for electronic distribution of copyrighted material is the ease with which illicit copies can be made and disseminated. In this paper, we describe feature coding techniques to mark document images with codes that are indiscernible by readers but can be decoded by document feature analysis techniques. These codes can be used to trace the source of errant documents. We propose three coding methods: line-shift coding, word-shift coding, and character coding. We describe how the coding features are found, inserted, and decoded. Finally, we show preliminary experimental results indicating robustness of the line-shift coding method where decoding can be performed even from images of up to ten generations of photocopying
  • Keywords
    security of data; character coding; copyright; document feature analysis techniques; document images; feature coding techniques; illicit dissemination deterrence; line-shift coding; photocopying; text feature marking; word-shift coding; Computer displays; Costs; Data security; Decoding; Electronic publishing; Image coding; Image storage; Impedance; Libraries; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6270-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576927
  • Filename
    576927