An Image Anti-Forgery Algorithm Based on Conceal Zone Special Halftoning


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Based on analysis of current situation, this paper develops a new anti-forgery algorithm based on conceal zone special halftoning, which realizes image anti-forgery in printing process. It brings forward the algorithm thought, and then sets up two halftoning models of template and threshold matrix. By numbering and extracting the manuscript pixels, it realizes the exact dividing of conceal zone and common zone through scan line filling algorithm. Then the method of generating halftone image by using the two halftoning models is studied. An experiment is performed to study the interior dot structure of the halftone image and its character. The experiment testifies that this algorithm can implant special shape dots different from traditional dot shapes in special zones of one image or multiple images, in which the anti-forgery is realized by observing the special zone’s dots.



Edited by:

Ouyang Yun, Xu Min, Yang Li and Liu Xunting




X. Zhou et al., "An Image Anti-Forgery Algorithm Based on Conceal Zone Special Halftoning", Applied Mechanics and Materials, Vol. 731, pp. 147-152, 2015

Online since:

January 2015




[1] Xin Yong, Dai Junping: Analysis of Anti-forgery technology development. Printing Today. Vol. 6 (2012), pp.55-57.

[2] DANIEL L Lau,GONZALO R Arce: Modern Digital Halftoning. (CRC Press Inc, New York 2008).

[3] Xie Shiqi, Cheng Ganghu: Comparison analysis of digital screening technology. Printing Magazine. Vol. 10 (2009), pp.39-42.

[4] Zhou Xiao, Shi Ruizhi, Sun Bing: Research on Reproduction Characteristic Based on FM Screening Map Printing. China printing and packing study. Vol. 5 No. 2 (2013), pp.35-40.

[5] Peter R. Jones:Evolution of halftoning technology in the United States patent literature. Journal of Electronic Imaging. Vol. 3 No. 3 (1994), pp.257-275.

[6] Baldock R, Graham J: Image Processing and Analysis: a Practical Approach. (Oxford University Press, Oxford 2000).