A fingerprint and finger-vein based cancelable multi-biometric system
•Fingerprint and finger-vein based cancelable multi-biometric template design.•Flexible feature-level fusion strategy with three fusion options.•Enhanced partial discrete Fourier transform based non-invertible transformation.•High-performing cancelable multi-biometric templates with strong security....
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Published in | Pattern recognition Vol. 78; pp. 242 - 251 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.06.2018
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Abstract | •Fingerprint and finger-vein based cancelable multi-biometric template design.•Flexible feature-level fusion strategy with three fusion options.•Enhanced partial discrete Fourier transform based non-invertible transformation.•High-performing cancelable multi-biometric templates with strong security.
Compared to uni-biometric systems, multi-biometric systems, which fuse multiple biometric features, can improve recognition accuracy and security. However, due to the challenging issues such as feature fusion and biometric template security, there is little research on cancelable multi-biometric systems. In this paper, we propose a fingerprint and finger-vein based cancelable multi-biometric system, which provides template protection and revocability. The proposed multi-biometric system combines the minutia-based fingerprint feature set and image-based finger-vein feature set. We develop a feature-level fusion strategy with three fusion options. Matching performance and security strength using these different fusion options are thoroughly evaluated and analyzed. Moreover, compared with the original partial discrete Fourier transform (P-DFT), security of the proposed multi-biometric system is strengthened, thanks to the enhanced partial discrete Fourier transform (EP-DFT) based non-invertible transformation. |
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AbstractList | •Fingerprint and finger-vein based cancelable multi-biometric template design.•Flexible feature-level fusion strategy with three fusion options.•Enhanced partial discrete Fourier transform based non-invertible transformation.•High-performing cancelable multi-biometric templates with strong security.
Compared to uni-biometric systems, multi-biometric systems, which fuse multiple biometric features, can improve recognition accuracy and security. However, due to the challenging issues such as feature fusion and biometric template security, there is little research on cancelable multi-biometric systems. In this paper, we propose a fingerprint and finger-vein based cancelable multi-biometric system, which provides template protection and revocability. The proposed multi-biometric system combines the minutia-based fingerprint feature set and image-based finger-vein feature set. We develop a feature-level fusion strategy with three fusion options. Matching performance and security strength using these different fusion options are thoroughly evaluated and analyzed. Moreover, compared with the original partial discrete Fourier transform (P-DFT), security of the proposed multi-biometric system is strengthened, thanks to the enhanced partial discrete Fourier transform (EP-DFT) based non-invertible transformation. |
Author | Wang, Song Valli, Craig Zheng, Guanglou Yang, Wencheng Hu, Jiankun |
Author_xml | – sequence: 1 givenname: Wencheng surname: Yang fullname: Yang, Wencheng email: w.yang@ecu.edu.au organization: Security Research Institute, School of Science, Edith Cowan University, 270 Joondalup Dr, Joondalup, WA 6027, Australia – sequence: 2 givenname: Song orcidid: 0000-0002-0239-7991 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: 3 givenname: Jiankun 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 Australian Defence Force Academy (UNSW@ADFA), Canberra, ACT 2600, Australia – sequence: 4 givenname: Guanglou orcidid: 0000-0002-2307-9562 surname: Zheng fullname: Zheng, Guanglou email: g.zheng@ecu.edu.au organization: Security Research Institute, School of Science, Edith Cowan University, 270 Joondalup Dr, Joondalup, WA 6027, Australia – sequence: 5 givenname: Craig surname: Valli fullname: Valli, Craig email: c.valli@ecu.edu.au organization: Security Research Institute, School of Science, Edith Cowan University, 270 Joondalup Dr, Joondalup, WA 6027, Australia |
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Keywords | Feature level fusion Data type incompatibility Cancelable Multi-biometrics |
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SubjectTerms | Cancelable Data type incompatibility Feature level fusion Multi-biometrics |
Title | A fingerprint and finger-vein based cancelable multi-biometric system |
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