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Towards a "fingerprint" of paper network: separating forgeries from genuine by the properties of fibre structure
2014
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence X; and Optical Materials and Biomaterials in Security and Defence Systems Technology XI
A novel method is introduced for distinguishing counterfeit banknotes from genuine samples. The method is based on analyzing differences in the networks of paper fibers. The main tool is a curvelet-based algorithm for measuring the distribution of overall fiber orientation and quantifying its anisotropy. The use of a couple or more appropriate parameters makes it possible to distinguish forgeries from genuine samples as concentrated point clouds in a two-or three-dimensional parameter space.
doi:10.1117/12.2066809
fatcat:7rck2imdjnbdfprma3zxxiptke