Research on Anti-counterfeiting Technology Based on QR Code image Watermarking Algorithm
Research on Anti-counterfeiting Technology Based on QR Code image Watermarking Algorithm
复制标题
基于QR码图像水印算法的防伪技术研究
DOI:
10.14257/ijmue.2017.12.5.05
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发表时间:
2017-05
期刊:
影响因子:
--
通讯作者:
LiHuaCui崔丽花
中科院分区:
文献类型:
--
作者:
DeLi李德;XueLiGao高雪丽;YuChaoSun孙俞超;LiHuaCui崔丽花
In this paper, a new anti-counterfeiting scheme and a high robustness digital watermarking algorithm based on DWT and SVD were proposed. We took a QR code as the carrier image, which is generated by the relevant information of the copyright owner, and then embedded the copyright owner’s information into the QR code as a watermark. Afterwards we obtained the watermark information contained in the QR code by using watermark detection and two dimensional bar code scanning tools. In order to achieve the purpose of anti-counterfeiting, we could verify its authenticity by checking watermark information and scanning information. The experiment proved that this method can resist compressive attack, rotation attack, noise attack and so on. The new scheme and algorithm provide a strong guarantee for the bill anti-counterfeiting technology.
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DOI:
10.1109/isplc48789.2020.9115398
发表时间:
2020-05
期刊:
2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC)
影响因子:
--
作者:
通讯作者:
--
DOI:
10.1109/dftvs.2005.1
发表时间:
2005
期刊:
--
影响因子:
--
作者:
通讯作者:
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影响因子:
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影响因子:
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DOI:
10.1145/1971519.1971593
发表时间:
2010-11
期刊:
--
影响因子:
--
作者:
Peter Kieseberg;Manuel Leithner;M. Mulazzani;Lindsay Munroe;S. Schrittwieser;Mayank Sinha;E. Weippl
通讯作者:
Peter Kieseberg;Manuel Leithner;M. Mulazzani;Lindsay Munroe;S. Schrittwieser;Mayank Sinha;E. Weippl