Customized 2D Barcode Sensing for Anti-Counterfeiting Application in Smart IoT with Fast Encoding and Information...

Area of Science:

• Computer Science
• Information Security
• Applied Mathematics

Background:

• The proliferation of counterfeit goods poses significant economic and consumer risks.
• Existing anti-counterfeiting measures often lack robust security or are costly.
• There is a need for effective, integrated solutions for product authentication.

Purpose of the Study:

• To propose a customized 2D barcode system for enterprise anti-counterfeiting certification.
• To develop a secure, low-cost, and easily identifiable anti-counterfeiting solution.
• To enhance product traceability and marketing value in smart IoT applications.

Main Methods:

• Utilizing information hiding technology within a novel picture-embedding scheme.
• Designing a 2D barcode encoding unit based on image blocks.
• Embedding 2D barcode finder patterns after data encoding.
• Balancing perceptual quality and decoding robustness for sensing recognition.

Main Results:

• The customized 2D barcode demonstrates superior encoding characteristics and decoding robustness compared to existing methods.
• The system offers a visually verifiable anti-counterfeiting feature, preventing physical label replication.
• Achieved high security, high information capacity, and low-cost implementation.

Conclusions:

• The proposed customized 2D barcode with sensing recognition is a practical and valuable anti-counterfeiting solution.
• It effectively addresses challenges posed by counterfeit products in the commodity economy.
• The system provides a secure, traceable, and marketing-friendly approach for future IoT applications.