Academic Journal of Computing & Information Science, 2022, 5(7); doi: 10.25236/AJCIS.2022.050711.
Yi Luo1, Jiaxing Chen2
1School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
2School of Automation, Harbin Institute of Technology, Harbin 150080, China
In order to realize fast and high-precision recognition of QR codes, a QR code recognition method using YOLOv5 algorithm is designed. The original image of the QR code will be obtained by using the LabelImg annotation tool and data enhancement method to build a data set, and trained by the YOLOv5s model. The experimental results show that the test on the real two-dimensional code can be effectively identified, and the average accuracy rate is about 90%, which can meet the requirements of real-time identification of the two-dimensional code when using an augmented reality device.
YOLOv5s; real-time recognition; QR code
Yi Luo, Jiaxing Chen. Two-Dimensional Codes Recognition Algorithm Based on Yolov5. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 7: 68-72. https://doi.org/10.25236/AJCIS.2022.050711.
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