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7 December 2023 Fast extraction of express waybills based on YOLOv5_obb
Zi-hao Li
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Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129413M (2023) https://doi.org/10.1117/12.3011466
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
Based on issues such as damage leading to the failure of the three-segment code and the inability to automatically sort, we propose a rapid recognition solution for express delivery waybills based on YOLOv5_obb. Compared to YOLOv5, this method introduces a rotated rectangle regressor that handles image angle correction and image segmentation together. Experimental results demonstrate that this approach achieves an accuracy rate of up to 99.5% in the extraction of express delivery waybills, effectively enabling high-speed extraction.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Zi-hao Li "Fast extraction of express waybills based on YOLOv5_obb", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129413M (7 December 2023); https://doi.org/10.1117/12.3011466
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KEYWORDS
Object detection
Data modeling
Image processing
Image segmentation
Industry
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