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

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.