Paper Info
Title
A New Qr Code Recognition Method Using Deblurring And Modified Local Adaptive Thresholding Techniques
Abstract
Quick Response (QR) Code would be easily affected by motion blur. In this study, a new recognition method for blurry QR Code is presented. First, a motion deblurring algorithm based on generative adversarial networks (GAN) is applied to perform the blind motion deblurring on single QR Code image for improving the quality of QR Code pictures. Then a modified local adaptive thresholding algorithm applying integral image technology is utilized in order to acquire binary QR Code pictures. Finally, this algorithm would be compared with some previous methods. Furthermore, for testing this algorithm, a database which contains motion blurry QR Code images from both public database and real scenes is collected. Experimental results show that this proposed algorithm perform well on motion blurry QR Code recognition missions.
Year
DOI
Venue
2020
10.1109/CASE48305.2020.9216945
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
DocType
ISSN
Citations 
Conference
2161-8070
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Junnian Li100.34
Biao Hu2299.98
Cao Zhengcai34216.38