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A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method.

Tianyu Wang1, Hong Zheng1, Changhui You2

  • 1School of Electronic Information, Wuhan University, Wuhan 430072, China.

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|January 21, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel texture-hidden QR code with enhanced anti-counterfeiting features. This innovative design prevents illegal copying and ensures data integrity through robust detection algorithms.

Keywords:
Gaussian distributionanti-counterfeiting QR codedecodingfourier domainrefined QR code

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Area of Science:

  • Computer Science
  • Information Security
  • Image Processing

Background:

  • QR codes lack inherent anti-counterfeiting measures, making them vulnerable to illegal copying.
  • Existing QR code technologies do not adequately address the need for robust security against duplication.

Purpose of the Study:

  • To design a texture-hidden QR code with integrated anti-counterfeiting capabilities.
  • To develop and evaluate algorithms for quality assessment and feature detection of the proposed QR code.

Main Methods:

  • A texture-hidden QR code was designed by combining random texture patterns with a refined QR code structure.
  • A no-reference image quality assessment algorithm (MAF) was developed for blur detection.
  • A dual feature detection algorithm (DFDA) was created for robust feature recognition and verification.

Main Results:

  • The MAF algorithm achieved 95% accuracy for blur type and 96% for blur degree.
  • The DFDA algorithm demonstrated up to 100% accuracy, precision, and recall.
  • The DFDA performed effectively on datasets subjected to reduction and cut attacks.

Conclusions:

  • The designed texture-hidden QR code offers significant anti-counterfeiting performance and feasibility.
  • The proposed MAF and DFDA algorithms provide reliable methods for QR code quality assessment and detection.
  • This research contributes a secure and practical solution for protecting QR codes against unauthorized duplication.