A Privacy-Preserving Biometric Recognition System with Visual Cryptography

The popularity of more powerful and smarter digital devices has improved the quality of life and poses new challenges to the privacy protection of personal information. In this paper, we propose a biometric recognition system with visual cryptography, which preserves the privacy of biometric feature...

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Main Authors: Lijing Ren, Denghui Zhang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/1057114
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author Lijing Ren
Denghui Zhang
author_facet Lijing Ren
Denghui Zhang
author_sort Lijing Ren
collection DOAJ
description The popularity of more powerful and smarter digital devices has improved the quality of life and poses new challenges to the privacy protection of personal information. In this paper, we propose a biometric recognition system with visual cryptography, which preserves the privacy of biometric features by storing biometric features in separate databases. Visual cryptography combines perfect ciphers and secret sharing in cryptography with images, thus eliminating the complex operations in existing privacy-preserving schemes based on cryptography or watermarking. Since shares do not reveal any feature about biometric information, we can efficiently transmit sensitive information among sensors and smart devices in plain. To abate the influence of noise in visual cryptography, we leverage the generalization ability of transfer learning to train a visual cryptography-based recognition network. Experimental results show that our proposed method keeps the high accuracy of the feature recognition system when providing security.
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institution Kabale University
issn 1687-5699
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publishDate 2022-01-01
publisher Wiley
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series Advances in Multimedia
spelling doaj-art-1dc5a2167ef041acbccf7ae6c088d4c42025-02-03T01:12:22ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/1057114A Privacy-Preserving Biometric Recognition System with Visual CryptographyLijing Ren0Denghui Zhang1School of Traffic and TransportationCyberspace Institute of Advanced TechnologyThe popularity of more powerful and smarter digital devices has improved the quality of life and poses new challenges to the privacy protection of personal information. In this paper, we propose a biometric recognition system with visual cryptography, which preserves the privacy of biometric features by storing biometric features in separate databases. Visual cryptography combines perfect ciphers and secret sharing in cryptography with images, thus eliminating the complex operations in existing privacy-preserving schemes based on cryptography or watermarking. Since shares do not reveal any feature about biometric information, we can efficiently transmit sensitive information among sensors and smart devices in plain. To abate the influence of noise in visual cryptography, we leverage the generalization ability of transfer learning to train a visual cryptography-based recognition network. Experimental results show that our proposed method keeps the high accuracy of the feature recognition system when providing security.http://dx.doi.org/10.1155/2022/1057114
spellingShingle Lijing Ren
Denghui Zhang
A Privacy-Preserving Biometric Recognition System with Visual Cryptography
Advances in Multimedia
title A Privacy-Preserving Biometric Recognition System with Visual Cryptography
title_full A Privacy-Preserving Biometric Recognition System with Visual Cryptography
title_fullStr A Privacy-Preserving Biometric Recognition System with Visual Cryptography
title_full_unstemmed A Privacy-Preserving Biometric Recognition System with Visual Cryptography
title_short A Privacy-Preserving Biometric Recognition System with Visual Cryptography
title_sort privacy preserving biometric recognition system with visual cryptography
url http://dx.doi.org/10.1155/2022/1057114
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AT denghuizhang aprivacypreservingbiometricrecognitionsystemwithvisualcryptography
AT lijingren privacypreservingbiometricrecognitionsystemwithvisualcryptography
AT denghuizhang privacypreservingbiometricrecognitionsystemwithvisualcryptography