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.

翻译：本文探讨了合成物理复制检测模式（CDP）在提升防伪系统鲁棒性方面的潜力。通过利用合成物理CDP，我们旨在增强各类实际应用场景中的安全性与成本效益。研究表明，相较于基于传统数字模板的方法，合成CDP在认证准确率上实现了显著提升。我们使用扫描仪及多种型号手机进行了大量测试，并通过ROC分析验证了该方法的有效性。结果表明，合成CDP能够可靠地区分原始样本与伪造样本，使其成为实际应用中可行的解决方案，但该技术仍需进一步研究以实现跨多种成像设备的规模化应用。