A Fast Adaptive Binarization Method for QR Code Images Based on Dynamic Illumination Equalization
-
Published:2023-10-04
Issue:19
Volume:12
Page:4134
-
ISSN:2079-9292
-
Container-title:Electronics
-
language:en
-
Short-container-title:Electronics
Author:
Chen Rongjun1, Huang Yue1, Lan Kailin1, Li Jiawen12ORCID, Ren Yongqi1, Hu Xianglei1ORCID, Wang Leijun1, Zhao Huimin1, Lu Xu1
Affiliation:
1. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China 2. Guangxi Key Lab of Multi-Source Information Mining & Security, Guangxi Normal University, Guilin 541004, China
Abstract
The advancement of Internet of Things (IoT) has enhanced the extensive usage of QR code images in various computer vision applications. Nonetheless, this has also brought forth several technical challenges. In particular, the logistics sorting system often encounters issues such as a low recognition rate and slow processing speed when dealing with QR code images under complex lighting conditions like uneven illumination. To address these difficulties, a method that focuses on achieving a fast adaptive binarization of QR code images through dynamic illumination equalization was proposed. First, an algorithm based on edge enhancement to obtain the position detection patterns within QR code images was applied, which enabled the acquisition of structural features in uneven illumination. Subsequently, QR code images with complex lighting conditions can achieve a fast adaptive binarization through dynamic illumination equalization. As for method validation, the experiments were performed on the two datasets that include QR code images influenced by strong light, weak light, and different shadow degrees. The results disclosed the benefits of the proposed method compared to the previous approaches; it produced superior recognition rates of 78.26–98.75% in various cases through commonly used decoders (Wechat and Zxing), with a faster processing speed of 0.0164 s/image, making it a proper method to satisfy real-time requirements in practical applications, such as a logistics sorting system.
Funder
National Natural Science Foundation of China Special Projects in Key Fields of Ordinary Universities of Guangdong Province Guangzhou Science and Technology Plan Project Research Fund of the Guangxi Key Lab of Multi-source Information Mining & Security Guangdong Province Ordinary Colleges and Universities Young Innovative Talents Project Special Project Enterprise Sci-tech Commissioner of Guangdong Province Key Discipline Improvement Project of Guangdong Province Research Fund of Guangdong Polytechnic Normal University
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference41 articles.
1. Hassan, R., Qamar, F., Hasan, M.K., Aman, A.H.M., and Ahmed, A.S. (2020). Internet of things and its applications: A comprehensive survey. Symmetry, 12. 2. Gupta, A., Asad, A., Meena, L., and Anand, R. (2023). Artificial Intelligence on Medical Data, Springer. 3. Two-Level QR Code for Private Message Sharing and Document Authentication;Tkachenko;IEEE Trans. Inf. Forensics Secur.,2016 4. Saraubon, K., Chinakul, P., and Chanpen, R. (2019, January 9–11). Asset Management System using NFC and IoT Technologies. Proceedings of the 2019 3rd International Conference on Software and e-Business (ICSEB 2019), Tokyo, Japan. 5. QR code and mobile payment: The disruptive forces in retail;Yan;J. Retail. Consum. Serv.,2021
|
|