Firstly, we introduce a histogram-based decoding method for 4SQR-Code that improves efficiency over traditional approaches.
Secondly, we demonstrate substantial improvements in
both decoding time and memory usage on 3,000 test
samples, achieving an average reduction of approximately 98.66% in decoding time and nearly 88.91% in memory consumption compared to baseline methods.
Finally, we conduct a comparative analysis with the
traditional OpenCV QR Code detector to demonstrate the advantages of our method.
