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Adaptive Binarization of QR Code Images for Fast Automatic Sorting in Warehouse Systems
2019
Sensors
As the fundamental element of the Internet of Things, the QR code has become increasingly crucial for connecting online and offline services. Concerning e-commerce and logistics, we mainly focus on how to identify QR codes quickly and accurately. An adaptive binarization approach is proposed to solve the problem of uneven illumination in warehouse automatic sorting systems. Guided by cognitive modeling, we adaptively select the block window of the QR code for robust binarization under uneven
doi:10.3390/s19245466
pmid:31835866
pmcid:PMC6960674
fatcat:3fhldgcixbgz5dxdg32ylg3c7q