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This study explores an FPGA-based method for generating QR codes with high speed and accuracy while supporting various text sizes. The approach enhances QR code formation through optimized data processing techniques specifically designed for black-and-white QR codes. To minimize errors during data conversion into bit sequences and blocks, Reed-Solomon (RS), BCH coding, including forward error correction (FEC) methods, and convolution codes, are incorporated. The system demonstrates greater resilience against distortions compared to conventional techniques. Furthermore, the implementation of mask pattern is essential for maintain the structural consistency and readability of QR codes. This method proves highly effective for practical applications, such as encoding vehicle registration details and strengthening data security in military environments.

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Hardware-Encrypted QR Code Using Verilog

  • 会议论文

  • 发表日期：

    2026年

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  • Dheeraj Kumar Agrawal,
  • Chandrakant Singh

摘要

This study explores an FPGA-based method for generating QR codes with high speed and accuracy while supporting various text sizes. The approach enhances QR code formation through optimized data processing techniques specifically designed for black-and-white QR codes. To minimize errors during data conversion into bit sequences and blocks, Reed-Solomon (RS), BCH coding, including forward error correction (FEC) methods, and convolution codes, are incorporated. The system demonstrates greater resilience against distortions compared to conventional techniques. Furthermore, the implementation of mask pattern is essential for maintain the structural consistency and readability of QR codes. This method proves highly effective for practical applications, such as encoding vehicle registration details and strengthening data security in military environments.