PRNU Anonymous Algorithm Used for Privacy Protection in Biometric Authentication Systems

• Published in: International journal on semantic web and information systems Vol. 19; no. 1; pp. 1 - 19
• Main Authors: Li, Jian, Zhang, Xiaobo, Ma, Bin, Yang, Meihong, Wang, Chunpeng, Liu, Yang, Cui, Xinan, Yang, Xiaotong
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 01.01.2023
• Subjects: Algorithms; Biometrics; Biometry; Data encryption chips; Image processing; Image quality; Image segmentation; Low frequencies; Nonuniformity; Privacy; Privacy, Right of; Sensors; Signal to noise ratio; China
• ISSN: 1552-6283; 1552-6291
• DOI: 10.4018/IJSWIS.317928

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.