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A novel template protection scheme for multibiometrics based on fuzzy commitment and chaotic system

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Abstract

In recent years, biometrics template protection has been extensively studied and lots of schemes have been proposed. However, most of them have not considered the forgery, large difference of intra-class and the security of unimodal biometrics leakage. And there is no multibiometrics template scheme based on the fusion of dual iris, thermal and visible face images. In this paper, a novel multibiometrics template protection scheme based on fuzzy commitment and chaotic system, and the security analysis approach for unimodal biometrics leakage are proposed. Firstly, the thermal face images are captured to overcome the forgery. Then, the fuzzy commitment is generated from the corporation of error correcting code (ECC) and the fusion binary features. Additionally, the dual iris feature vectors are encrypted via the chaotic system, and the score level fusion based on Aczél-Alsina triangular-norm (AA T-norm) is implemented to acquire the final verification performance. Finally, the entropy of both mutlibiometrics and unimodal information leakage is analyzed to show the security of the proposed approach. The experimental tests are conducted on a virtual multibiometrics database, which merges the challenging CASIA-Iris-Thousand and the NVIE face database. The verification performance decreases from EER of \(3 \times 10^{-2}\) to \(1.163 \times 10^{-1}\) %, but the multibiometrics template security is enhanced from 80.53 to 167.80 bits based on BCH ECC (1,023, 123, 170).

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Abbreviations

ECC:

Error correcting code

AA T-norm:

Aczél-Alsina triangular-norm

FC:

Fuzzy commitment

FV:

Fuzzy vault;

OCML:

One-way coupled map lattice

NVIE:

Natural visible and infrared facial expression

EER:

Equal error rate

FMR:

False matching rate

FNMR:

False non-matching rate

DET:

Detection error tradeoff

GMR:

Genuine matching rate

G-S:

GMR-security

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant No.: 61100187), the Fundamental Research Funds for the Central Universities (Grant No.: HIT. NSRIF. 2013061.) and Ministry of Scientific Research (Egypt-Tunisia Cooperation Program, Code No: 4-13-A1).

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Author notes

  1. Qiong Li

    Present address: Science Zone of Harbin Institute of Technology, Room 1523, Building 2A, No.2 Yikuang Street, Nangang District, Harbin, China

Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

    Ning Wang, Qiong Li, Ahmed A. Abd El-Latif, Jialiang Peng, Xuehu Yan & Xiamu Niu

  2. Mathematics Department, Faculty of Science, Menoufia University, Shebin El-Koom, Menufia, 32511, Egypt

    Ahmed A. Abd El-Latif

  3. Information and Network Administration Center, Heilongjiang University, Harbin, 150080, China

    Jialiang Peng

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  1. Ning Wang
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Correspondence to Ning Wang.

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Wang, N., Li, Q., Abd El-Latif, A.A. et al. A novel template protection scheme for multibiometrics based on fuzzy commitment and chaotic system. SIViP 9 (Suppl 1), 99–109 (2015). https://doi.org/10.1007/s11760-014-0663-2

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  • DOI: https://doi.org/10.1007/s11760-014-0663-2

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