Assessing the Viability of Synthetic Physical Copy Detection Patterns on Different Imaging Systems

TL;DR

This study evaluates the use of synthetic physical Copy Detection Patterns to enhance anti-counterfeiting robustness across different imaging systems, showing promising results in authentication accuracy and reliability.

Contribution

The paper introduces synthetic physical CDP as a novel approach to improve anti-counterfeiting, demonstrating its effectiveness across various imaging devices.

Findings

Synthetic CDP significantly improves authentication accuracy.

The approach reliably differentiates original from fake samples.

Validation through ROC analysis confirms robustness.

Abstract

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.