Low-cost physically unclonable functions (PUFs) can be deployed with consumer products to deter counterfeiting. An intrinsic physical property - unique textures of paper or other surface - has received strong interest. Extrinsically introduced features, such as randomly positioned bubbles and fiber segments, have also been deployed in the industry to facilitate authentication. This paper carries out a study to gain a better understanding in the factors affecting the authentication performance, with a consideration of the friendliness under mobile imaging. Comparisons are made for paper-based PUFs of different characteristics. It is found that the density of foreground objects have a dominant impact on the authentication performance.

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Full citation of the paper:

Chau-Wai Wong and Min Wu, “A study on PUF characteristics for counterfeiting detection,” in Proc. IEEE International Conference on Image Processing (ICIP'15), Quebec City, Canada, Sep. 2015, pp. 1643–1647.