Copy Sensitive Graphical Codes Database for estimation attacks using neural network approach
This web-page is dedicated to public databases of Copy Sensitive Graphical Codes (CSGC) used for estimation attacks using neural networks in the publication below. Please cite the corresponding reference while using one of these databases in your academic work.
The provided databases are for academic use only.
[1] R. Yadav, I. Tkachenko, A. Tremeau, T. Fournel, Estimation of copy-sensitive codes using a neural approach, IH&MMSec 2019, June 3-5, Paris, France.
The CSGC used are random black-and-white images that are defined in 600 ppi (pixels per inch). These CSGC are printed using Xerox Phaser 6500 printer with a true 600 dpi (dots per inch) resolution. Then scanned using a high resolution scanner Epson Perfection V850 Pro with three different resolutions: 2400 spi (samples per inch), 4800 spi and 9600 spi.
