PRNU Anonymous Algorithm Used for Privacy Protection in Biometric Authentication Systems

Jian Li, Xiaobo Zhang, Bin Ma, Meihong Yang, Chunpeng Wang, Yang Liu, Xinan Cui and Xiaotong Yang
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Jian Li: Qilu University of Technology (Shandong Academy of Sciences), China
Xiaobo Zhang: Qilu University of Technology (Shandong Academy of Sciences), China
Bin Ma: Qilu University of Technology (Shandong Academy of Sciences), China
Meihong Yang: Shandong Computer Science Center, China
Chunpeng Wang: Qilu University of Technology (Shandong Academy of Sciences), China
Yang Liu: Qilu University of Technology (Shandong Academy of Sciences), China
Xinan Cui: ZhongFu Information Inc., China
Xiaotong Yang: Sungkyunkwan University, China

International Journal on Semantic Web and Information Systems (IJSWIS), 2023, vol. 19, issue 1, 1-19

Abstract: The photo response non-uniformity (PRNU) is used to connect an image to its source sensor. In this paper, researchers propose a PRNU anonymity method based on image segmentation to cut the relationship between the image and its source camera. According to the distribution rule of PRNU in the high and low frequency band of the image, the high and low frequency information of the part is also processed differently, which ensures the quality of the output image to a large extent. Experiments on the datasets show that the proposed method can preserve the biometric characteristics of the device while maintaining the anonymity of the device. Comparing with prior art, peak signal to noise ratio (PSNR) and cosine similarity are improved by 1.9 dB and 0.02 points, respectively.

Date: 2023
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