An alignment-free fingerprint bio-cryptosystem based on modified Voronoi neighbor structures
Bio-cryptography is an emerging security technology which combines cryptography with biometrics. A good bio-cryptosystem is required to protect the privacy of the relevant biometric data as well as achieving high recognition accuracy. Fingerprints have been widely used in bio-cryptosystem design. Ho...
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| Published in | Pattern recognition Vol. 47; no. 3; pp. 1309 - 1320 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier Ltd
01.03.2014
Elsevier |
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| Online Access | Get full text |
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| Abstract | Bio-cryptography is an emerging security technology which combines cryptography with biometrics. A good bio-cryptosystem is required to protect the privacy of the relevant biometric data as well as achieving high recognition accuracy. Fingerprints have been widely used in bio-cryptosystem design. However, fingerprint uncertainty caused by distortion and rotation during the image capturing process makes it difficult to achieve a high recognition rate in most bio-cryptographic systems. Moreover, most existing bio-cryptosystems rely on the accurate detection of singular points for fingerprint image pre-alignment, which is very hard to achieve, and the image rotation transformation during the alignment process can cause significant singular point deviation and minutiae changes. In this paper, by taking full advantage of local Voronoi neighbor structures (VNSs), e.g. local structural stability and distortion insensitivity, we propose an alignment-free bio-cryptosystem based on fixed-length bit-string representations extracted from modified VNSs, which are rotation- and translation-invariant and distortion robust. The proposed alignment-free bio-cryptosystem is able to provide strong security while achieving good recognition performance. Experimental results in comparison with most existing alignment-free bio-cryptosystems using the publicly-available databases show the validity of the proposed scheme.
•We propose an alignment-free fingerprint bio-cryptosystem based on modified VNSs.•The scheme is able to compensate the VNS change caused by large non-linear distortion.•Encrypted matching is performed and protected by the secure sketch, PinSketch.•The Experimental results show the validity of the proposed scheme. |
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| AbstractList | Bio-cryptography is an emerging security technology which combines cryptography with biometrics. A good bio-cryptosystem is required to protect the privacy of the relevant biometric data as well as achieving high recognition accuracy. Fingerprints have been widely used in bio-cryptosystem design. However, fingerprint uncertainty caused by distortion and rotation during the image capturing process makes it difficult to achieve a high recognition rate in most bio-cryptographic systems. Moreover, most existing bio-cryptosystems rely on the accurate detection of singular points for fingerprint image pre-alignment, which is very hard to achieve, and the image rotation transformation during the alignment process can cause significant singular point deviation and minutiae changes. In this paper, by taking full advantage of local Voronoi neighbor structures (VNSs), e.g. local structural stability and distortion insensitivity, we propose an alignment-free bio-cryptosystem based on fixed-length bit-string representations extracted from modified VNSs, which are rotation- and translation-invariant and distortion robust. The proposed alignment-free bio-cryptosystem is able to provide strong security while achieving good recognition performance. Experimental results in comparison with most existing alignment-free bio-cryptosystems using the publicly-available databases show the validity of the proposed scheme. Bio-cryptography is an emerging security technology which combines cryptography with biometrics. A good bio-cryptosystem is required to protect the privacy of the relevant biometric data as well as achieving high recognition accuracy. Fingerprints have been widely used in bio-cryptosystem design. However, fingerprint uncertainty caused by distortion and rotation during the image capturing process makes it difficult to achieve a high recognition rate in most bio-cryptographic systems. Moreover, most existing bio-cryptosystems rely on the accurate detection of singular points for fingerprint image pre-alignment, which is very hard to achieve, and the image rotation transformation during the alignment process can cause significant singular point deviation and minutiae changes. In this paper, by taking full advantage of local Voronoi neighbor structures (VNSs), e.g. local structural stability and distortion insensitivity, we propose an alignment-free bio-cryptosystem based on fixed-length bit-string representations extracted from modified VNSs, which are rotation- and translation-invariant and distortion robust. The proposed alignment-free bio-cryptosystem is able to provide strong security while achieving good recognition performance. Experimental results in comparison with most existing alignment-free bio-cryptosystems using the publicly-available databases show the validity of the proposed scheme. •We propose an alignment-free fingerprint bio-cryptosystem based on modified VNSs.•The scheme is able to compensate the VNS change caused by large non-linear distortion.•Encrypted matching is performed and protected by the secure sketch, PinSketch.•The Experimental results show the validity of the proposed scheme. |
| Author | Wang, Song Yang, Wencheng Stojmenovic, Milos Hu, Jiankun |
| Author_xml | – sequence: 1 givenname: Wencheng surname: Yang fullname: Yang, Wencheng email: wencheng.yang@student.adfa.edu.au organization: School of Engineering and Information Technology, University of New South Wales at the Australia Defence Force Academy, Canberra ACT 2600, Australia – sequence: 2 givenname: Jiankun orcidid: 0000-0003-0230-1432 surname: Hu fullname: Hu, Jiankun email: J.Hu@adfa.edu.au organization: School of Engineering and Information Technology, University of New South Wales at the Australia Defence Force Academy, Canberra ACT 2600, Australia – sequence: 3 givenname: Song surname: Wang fullname: Wang, Song email: Song.Wang@latrobe.edu.au organization: School of Engineering and Mathematical Sciences, La Trobe University, VIC 3086, Australia – sequence: 4 givenname: Milos surname: Stojmenovic fullname: Stojmenovic, Milos email: mstojmenovic@singidunum.ac.rs organization: Department of Informatics and Computing, Singidunum University, Belgrade, Serbia |
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| Keywords | Fingerprint Distortion robust Bio-cryptosystem Fuzzy extractor Alignment-free Modified Voronoi neighbor structure Biometrics Performance evaluation Private life Image processing Sequence alignment Singular point High precision Pattern recognition Image matching Rotational invariance Security of data Database Cryptography Automatic recognition |
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| Snippet | Bio-cryptography is an emerging security technology which combines cryptography with biometrics. A good bio-cryptosystem is required to protect the privacy of... |
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| SubjectTerms | Alignment Alignment-free Applied sciences Bio-cryptosystem Biometrics Cryptography Deviation Distortion Distortion robust Exact sciences and technology Fingerprint Fingerprints Fuzzy extractor Image processing Information, signal and communications theory Modified Voronoi neighbor structure Pattern recognition Recognition Security Signal and communications theory Signal processing Telecommunications and information theory Transformations |
| Title | An alignment-free fingerprint bio-cryptosystem based on modified Voronoi neighbor structures |
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