Assessing the Viability of Synthetic Physical Copy Detection Patterns on Different Imaging Systems
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Oct 2024.
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Citing papers per year: 2026: 3.
3 papers.
- 2026Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioningcited by 1
- 2026Authentication of Copy Detection Patterns via Cross-Camera Dual-Synthetic Referencingcited by 0
- 2026Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authenticationcited by 0
- 2026Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication1 Jul 2026
- 2026Authentication of Copy Detection Patterns via Cross-Camera Dual-Synthetic Referencing29 May 2026
- 2026Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioning9 Mar 2026