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
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