Abstract
In these days, the open computer networks make possible to use intellectual properties without any degradation of the multimedia data such as document, audio, image, and video. In this paper, we suggest a digital watermarking scheme that produces each different marked document by embedding a unique mark of original user using diagonal profile. This can be applied a technique to prevent unauthorized user from discouraging illicit copying or redistribution of document images by retrieving embedded mark of original user. This technique can easily detect attempt to remove or change the watermark by the feature of diagonal profile and it does not affect the skew since the watermark embeds to be neighbored with a black pixel value. And we produce noisy image by increasing the copy generation, we find out that it occurs unambiguous in watermark extraction procedure. We, therefore, propose a tip to extract the watermark after removing produced noise by copying.
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References
R. Jain, R. Kasturi, B. G. Schunck, “Machine Vision”, MaGraw-Hill, 1995.
J. T. Brassil, S. H. Low, N. F. Maxemchuk and L. O’Gorman, “Hiding Information in Document Images”, in Proc. 1995 Conf. Information Sciences and Systems, pp.482–489, March 1995.
J. T. Brassil, S. H. Low, N. F. Maxemchuk, J. T. Brassil, and L. O’Gorman, “Document Marking and Identification using both line and word shifting”, in Proc. Infocom’ 95, pp. 853–860, April, 1995.
J. T. Brassil, S. H. Low, N. F. Maxemchuk, L. O’Gorman, “Electronic Marking and Identification Techniques to Discourage Document Copying”, IEEE J.Setected. Area Commun. Vol. 13, pp. 1495–1504, Oct. 1995.
I. Cox, J. Killian, T. Leighton and T. Shamoon, Secure Spread Spectrum Watermarking for Multimedia”, Proc. of First Int. Workshop of Informaiton Hiding, pp 183–206, May. 1996.
S. H. Low, N. F. Maxemchuk and A. M. Lapone, “Document Identification for Copyright Protection using Centroid Detection”, IEEE Trans. Commun. Vol. 46, pp. 372–383, March 1998
S. H. Low, A. M. Lapone, N. F. Mexemchuk, “Performance Comparison of Two Text Marking and Detection Methods”, IEEE J. Selected Areas Communication, Vol. 16, No. 14, May 1998.
Y. Lui, J. Mant, E. Wong, S. H. Low, “Marking and Detection of Text Documents Using Transform-domain Techniques”, SPIE Vol.3657, Jan. 1999.
J. T. Brassil, S. H. Low, N. F. Maxemchuk, “Copyright Protection for the Electronic Distribution of Text Documents”, Proc. of the IEEE, Vol. 87, No. 7, July 1999.
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© 2001 Springer-Verlag Berlin Heidelberg
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Park, J.H., Jeong, S.E., Huh, Y. (2001). A New Digital Watermarking for Text Document Images Using Diagonal Profile. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_96
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DOI: https://doi.org/10.1007/3-540-45453-5_96
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