Abstract
More and more people use mobile phones to buy goods through scanning the printed aesthetic QR code. QR code has become an important payment tool in today’s business. However, there is an inevitable risk in payment processing. In particular, it is difficult to detect whether an aesthetic QR code has been tampered by the attacker. Therefore, it is extremely important to carry out security certification for aesthetic QR code. We propose an algorithm based on the combination of directional periodic texture pattern and aesthetic QR code. Firstly, the aesthetic QR code is generated based on the Positive Basis Vector Matrix (PBVM), whereas the watermark is encoded into 4-bit Gray code and quantized into angles. Then, a periodic texture pattern is generated using a random matrix, and a directed periodic texture pattern is obtained by rotating the texture pattern according to the quantization angle. Finally, the new texture pattern and the aesthetic QR code are fused to obtain an authentication aesthetic QR code. The experiments verified that the aesthetic QR code can be correctly decoded and the watermark can be properly extracted. By utilizing the locating position patterns of the QR code, the additional watermark reference block is not required, therefore, the capacity of the watermark is enhanced. Moreover, the proposed scheme realizes the anti-counterfeiting authentication of aesthetic QR code, and maintains a better visual quality.
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References
Suryotrisongko, H., Sugiharsono, Setiawan, B.: A novel mobile payment scheme based on secure quick response payment with minimal infrastructure for cooperative enterprise in developing countries. Proc. Soc. Behav. Sci. 65, 906–912 (2012)
Ortiz-Yepes, D.A.: A review of technical approaches to realizing near-field communication mobile payments. IEEE Secur. Priv. 14(4), 54–62 (2016)
Ahmed, Q., Munib, S., Mirza, M.T., et al.: Smart phone based online medicine authentication using print-cam robust watermarking. In: 13th International Conference on Frontiers of Information Technology, pp. 222–227. IEEE, Islamabad (2015)
Kuribayashi, M., Morii, M.: Aesthetic QR code based on modified systematic encoding function. IEICE Trans. Inf. Syst. E100D, 42–51 (2017)
Lu, J., Yang, Z., Li, L., et al.: Multiple schemes for mobile payment authentication using QR code and visual cryptography. Mob. Inf. Syst. 9, 1–12 (2016)
Li, L., Zhang, S., Yang, Z., Lu, J., Chang, C.C.: Novel schemes for bike-share service authentication using aesthetic QR code and color visual cryptography. In: Sun, X., Chao, H.C., You, X., Bertino, E. (eds.) Cloud Computing and Security, ICCCS 2017. LNCS, vol. 10603, pp. 837–842. Springer, Cham (2017)
Pramila, A., Keskinarkaus, A., Seppänen, T.: Increasing the capturing angle in print-cam robust watermarking. J. Syst. Softw. 135, 205–215 (2018)
Katayama, A., Nakamura, T., Yamamuro, M., Sonehara, N.: New highspeed frame detection method: side trace algorithm (STA) for i-appli on cellular phones to detect watermarks. In: Proceedings of the 3rd International Conference on Mobile and Ubiquitous Multimedia, College Park, Maryland, USA, vol. 83, pp. 109–116 (2004)
Kim, W., Jang, H.J., Kim, G.Y.: Transmission rate prediction of VBR motion image using the kalman filter. In: International Conference on Computational Science and Its Applications, vol. 3981, pp. 106–113. Springer, Heidelberg (2006)
Pramila, A., Keskinarkaus, A., Seppänen, T.: Toward an interactive poster using digital watermarking and a mobile phone camera. SIViP 6(2), 211–222 (2016)
Chou, D.-H., Li, Y.-C.: A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile. IEEE Trans. Circ. Syst. Video Technol. ACM 5(6), 467–476 (1995)
Li, L., et al.: A new aesthetic QR code algorithm based on salient region detection and SPBVM. In: Peng, S.L., Wang, S.J., Balas, V., Zhao, M. (eds.) Security with Intelligent Computing and Big-data Services, SICBS 2017. AISC, vol. 733, pp. 20–32. Springer, Cham (2018)
Hore, A., Ziou, D.: Image quality metrics: PSNR vs. SSIM. In: International Conference on Pattern Recognition, pp. 2366–2369. IEEE (2010)
Acknowledgments
This work was mainly supported by National Natural Science Foundation of China (No. 61370218, No. GG19F020033), Public Welfare Technology and Industry Project of Zhejiang Provincial Science Technology Department (No. 2016C31081, No. LGG18F020013, No. LGG19F020016).
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Li, L. et al. (2020). Aesthetic QR Code Authentication Based on Directed Periodic Texture Pattern. In: Yang, CN., Peng, SL., Jain, L. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2018. Advances in Intelligent Systems and Computing, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-16946-6_20
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DOI: https://doi.org/10.1007/978-3-030-16946-6_20
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