A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method
This paper designs a texture-hidden QR code to prevent the illegal copying of a QR code due to its lack of anti-counterfeiting ability. Combining random texture patterns and a refined QR code, the code is not only capable of regular coding but also has a strong anti-copying capability. Based on the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/2/795 |
| _version_ | 1797437315899981824 |
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| author | Tianyu Wang Hong Zheng Changhui You Jianping Ju |
| author_facet | Tianyu Wang Hong Zheng Changhui You Jianping Ju |
| author_sort | Tianyu Wang |
| collection | DOAJ |
| description | This paper designs a texture-hidden QR code to prevent the illegal copying of a QR code due to its lack of anti-counterfeiting ability. Combining random texture patterns and a refined QR code, the code is not only capable of regular coding but also has a strong anti-copying capability. Based on the proposed code, a quality assessment algorithm (MAF) and a dual feature detection algorithm (DFDA) are also proposed. The MAF is compared with several current algorithms without reference and achieves a 95% and 96% accuracy for blur type and blur degree, respectively. The DFDA is compared with various texture and corner methods and achieves an accuracy, precision, and recall of up to 100%, and also performs well on attacked datasets with reduction and cut. Experiments on self-built datasets show that the code designed in this paper has excellent feasibility and anti-counterfeiting performance. |
| first_indexed | 2024-03-09T11:17:27Z |
| format | Article |
| id | doaj.art-962cf44f220b4efa951579e93a877e10 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T11:17:27Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-962cf44f220b4efa951579e93a877e102023-12-01T00:27:45ZengMDPI AGSensors1424-82202023-01-0123279510.3390/s23020795A Texture-Hidden Anti-Counterfeiting QR Code and Authentication MethodTianyu Wang0Hong Zheng1Changhui You2Jianping Ju3School of Electronic Information, Wuhan University, Wuhan 430072, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430072, ChinaSchool of Cyber Science and Engineering, Wuhan University, Wuhan 430072, ChinaSchool of Artificial Intelligence, Hubei Business College, Wuhan 430079, ChinaThis paper designs a texture-hidden QR code to prevent the illegal copying of a QR code due to its lack of anti-counterfeiting ability. Combining random texture patterns and a refined QR code, the code is not only capable of regular coding but also has a strong anti-copying capability. Based on the proposed code, a quality assessment algorithm (MAF) and a dual feature detection algorithm (DFDA) are also proposed. The MAF is compared with several current algorithms without reference and achieves a 95% and 96% accuracy for blur type and blur degree, respectively. The DFDA is compared with various texture and corner methods and achieves an accuracy, precision, and recall of up to 100%, and also performs well on attacked datasets with reduction and cut. Experiments on self-built datasets show that the code designed in this paper has excellent feasibility and anti-counterfeiting performance.https://www.mdpi.com/1424-8220/23/2/795anti-counterfeiting QR codeGaussian distributionrefined QR codedecodingfourier domain |
| spellingShingle | Tianyu Wang Hong Zheng Changhui You Jianping Ju A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method Sensors anti-counterfeiting QR code Gaussian distribution refined QR code decoding fourier domain |
| title | A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method |
| title_full | A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method |
| title_fullStr | A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method |
| title_full_unstemmed | A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method |
| title_short | A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method |
| title_sort | texture hidden anti counterfeiting qr code and authentication method |
| topic | anti-counterfeiting QR code Gaussian distribution refined QR code decoding fourier domain |
| url | https://www.mdpi.com/1424-8220/23/2/795 |
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