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Content Provider | IET Digital Library |
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Author | Huang, Jianfen Li, Liyan Wang, Xiao Lu, Baoli Liu, Yuliang |
Abstract | Quick response (QR) codes are widely used in many fields. Various QR code recognition approaches have been proposed to improve the accuracy of decoding QR code. However, the recognition of distorted QR codes with one missing position detection pattern (PDP) remains a problem. In this study, based on the vector relationship and the structural features, the authors introduce a new method for decoding distorted QR code with one missing PDP. Three methods, Zxing, Halcon, and the newly proposed method, are used to test the decoding capability. For QR codes with one missing PDP, the experimental results show that the proposed method could meet the recognition angle range as much as 110°, while Zxing fails to recognise, and the angle of decoding for Halcon is 90°. Especially, the proposed method is available at an extremely harsh luminance and contrast environment, e.g. both phases as a 60% discount, when the decoding angle of Halcon is only 35°, while the proposed one better than 2.7 times of it. Besides, the proposed method is more robust to decode the QR codes with a missing PDP under different backgrounds and noisy images. |
Starting Page | 3154 |
Ending Page | 3160 |
Page Count | 7 |
ISSN | 17519659 |
Volume Number | 14 |
e-ISSN | 17519667 |
Issue Number | Issue 13, Nov (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/14/13 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1095 |
Journal | IET Image Processing |
Publisher Date | 2020-07-29 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Computer Vision And Image Processing Technique Contrast Environment Decoding Decoding QR Code Distorted QR Code Recognition Edge Detection Extremely Harsh Luminance Halcon Decoding Angle Image And Video Coding Image Coding Image Recognition Missing PDP Missing Position Detection Pattern Noisy Image QR Code QR Code Recognition Approach Quick Response Code Recognition Angle Range Structural Feature Vector Relationship |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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