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<p>This paper proposes an innovative color anti-counterfeiting quick response code system with a robust authentication mechanism, specifically designed to overcome the limitations of conventional digital anti-counterfeiting technologies. The proposed solution offers four distinct advantages: low implementation cost, superior resistance to forgery, seamless compatibility with standard smartphone cameras, and reliable performance under diverse interference conditions. The technical foundation of our approach combines color multi-channel modulation with advanced halftone theory to generate intricate visual patterns that significantly improve counterfeit resistance. These patterns exhibit two essential security properties: heightened sensitivity to duplication attempts and exceptional resilience against forgery techniques. The authentication system employs a sophisticated dual-spectral analysis methodology that effectively integrates wavelet-domain and Fourier-domain techniques. The wavelet-domain component analyzes macroscopic structural features through scale-dependent approximation coefficients, enabling rapid counterfeit detection. Simultaneously, the Fourier-domain component examines microscopic texture characteristics via localized time-frequency analysis, providing additional security verification. Experimental results demonstrate the superior anti-counterfeiting performance of our scheme, particularly in scenarios with diverse types of interference. This method offers a practical and convenient solution for applications such as identity verification, product identification, medicine traceability, and food safety.</p>

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Color anti-counterfeiting quick response code: An enhanced authentication method via dual-spectral feature analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月14日

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  • Tianyu Wang,
  • Jianfeng Yang,
  • Hong Zheng,
  • Ke Sun,
  • Changhui You,
  • Tao Tao

摘要

This paper proposes an innovative color anti-counterfeiting quick response code system with a robust authentication mechanism, specifically designed to overcome the limitations of conventional digital anti-counterfeiting technologies. The proposed solution offers four distinct advantages: low implementation cost, superior resistance to forgery, seamless compatibility with standard smartphone cameras, and reliable performance under diverse interference conditions. The technical foundation of our approach combines color multi-channel modulation with advanced halftone theory to generate intricate visual patterns that significantly improve counterfeit resistance. These patterns exhibit two essential security properties: heightened sensitivity to duplication attempts and exceptional resilience against forgery techniques. The authentication system employs a sophisticated dual-spectral analysis methodology that effectively integrates wavelet-domain and Fourier-domain techniques. The wavelet-domain component analyzes macroscopic structural features through scale-dependent approximation coefficients, enabling rapid counterfeit detection. Simultaneously, the Fourier-domain component examines microscopic texture characteristics via localized time-frequency analysis, providing additional security verification. Experimental results demonstrate the superior anti-counterfeiting performance of our scheme, particularly in scenarios with diverse types of interference. This method offers a practical and convenient solution for applications such as identity verification, product identification, medicine traceability, and food safety.