Paper Info
Title
Adaptive Binarization of QR Code Images for FastAutomatic Sorting in Warehouse Systems.
Abstract
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 illumination. The proposed method can eliminate the impact of uneven illumination of QR codes effectively whilst meeting the real-time needs in the automatic warehouse sorting. Experimental results have demonstrated the superiority of the proposed approach when benchmarked with several state-of-the-art methods.
Year
DOI
Venue
2019
10.3390/s19245466
SENSORS
Keywords
DocType
Volume
QR code,automatic sorting system,uneven illumination,adaptive binarization
Journal
19
Issue
ISSN
Citations 
24
1424-8220
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Rongjun Chen100.68
Yongxing Yu201.01
Xiansheng Xu300.34
Leijun Wang400.34
Huimin Zhao520623.43
Hong-Zhou Tan619633.88