This paper explores the potential of synthetic physical Copy Detection Patterns (CDP) to improve the robustness of anti-counterfeiting systems. By leveraging synthetic physical CDP, we aim at enhancing security and cost-effectiveness across various real-world applications. Our research demonstrates that synthetic CDP offer substantial improvements in authentication accuracy compared to one based on traditional digital templates. We conducted extensive tests using both a scanner and a diverse range of mobile phones, validating our approach through ROC analysis. The results indicate that synthetic CDP can reliably differentiate between original and fake samples, making this approach a viable solution for real-world applications, though requires an additional research to make this technology scalable across a variety of imaging devices.
@article{arxiv.2410.02575,
title = {Assessing the Viability of Synthetic Physical Copy Detection Patterns on Different Imaging Systems},
author = {Roman Chaban and Brian Pulfer and Slava Voloshynovskiy},
journal= {arXiv preprint arXiv:2410.02575},
year = {2024}
}