Unitary Transform-Based Template Protection and Its Application to <I>l</I><SUP>2</SUP>-norm Minimization Problems

Ibuki NAKAMURA; Yoshihide TONOMURA; Hitoshi KIYA

doi:10.1587/transinf.2015MUP0007

Unitary Transform-Based Template Protection and Its Application to l²-norm Minimization Problems

Ibuki NAKAMURA, Yoshihide TONOMURA, Hitoshi KIYA

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We focus on the feature transform approach as one methodology for biometric template protection, where the template consists of the features extracted from the biometric trait. This study considers some properties of the unitary (including orthogonal) transform-based template protection in particular. It is known that the Euclidean distance between the templates protected by a unitary transform is the same as that between original (non-protected) ones as a property. In this study, moreover, it is shown that it provides the same results in l²-norm minimization problems as those of original templates. This means that there is no degradation of recognition performance in authentication systems using l²-norm minimization. Therefore, the protected templates can be reissued multiple times without original templates. In addition, a DFT-based template protection scheme is proposed as an unitary transform-based one. The proposed scheme enables to efficiently generate protected templates by the FFT, in addition to the useful properties. It is also applied to face recognition experiments to evaluate the effectiveness.

Publication: IEICE TRANSACTIONS on Information Vol.E99-D No.1 pp.60-68

Publication Date: 2016/01/01

Publicized: 2015/10/21

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2015MUP0007

Type of Manuscript: Special Section PAPER (Special Section on Enriched Multimedia---Creation of a New Society through Value-added Multimedia Content---)

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Authors

Ibuki NAKAMURA
  Tokyo Metropolitan University
Yoshihide TONOMURA
  NTT Corporation
Hitoshi KIYA
  Tokyo Metropolitan University

Keyword

biometrics, template protection, unitary transform, l²-norm minimization

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Ibuki NAKAMURA, Yoshihide TONOMURA, Hitoshi KIYA, "Unitary Transform-Based Template Protection and Its Application to l2-norm Minimization Problems" in IEICE TRANSACTIONS on Information, vol. E99-D, no. 1, pp. 60-68, January 2016, doi: 10.1587/transinf.2015MUP0007.
Abstract: We focus on the feature transform approach as one methodology for biometric template protection, where the template consists of the features extracted from the biometric trait. This study considers some properties of the unitary (including orthogonal) transform-based template protection in particular. It is known that the Euclidean distance between the templates protected by a unitary transform is the same as that between original (non-protected) ones as a property. In this study, moreover, it is shown that it provides the same results in l²-norm minimization problems as those of original templates. This means that there is no degradation of recognition performance in authentication systems using l²-norm minimization. Therefore, the protected templates can be reissued multiple times without original templates. In addition, a DFT-based template protection scheme is proposed as an unitary transform-based one. The proposed scheme enables to efficiently generate protected templates by the FFT, in addition to the useful properties. It is also applied to face recognition experiments to evaluate the effectiveness.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2015MUP0007/_p

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@ARTICLE{e99-d_1_60,
author={Ibuki NAKAMURA, Yoshihide TONOMURA, Hitoshi KIYA, },
journal={IEICE TRANSACTIONS on Information},
title={Unitary Transform-Based Template Protection and Its Application to l2-norm Minimization Problems},
year={2016},
volume={E99-D},
number={1},
pages={60-68},
abstract={We focus on the feature transform approach as one methodology for biometric template protection, where the template consists of the features extracted from the biometric trait. This study considers some properties of the unitary (including orthogonal) transform-based template protection in particular. It is known that the Euclidean distance between the templates protected by a unitary transform is the same as that between original (non-protected) ones as a property. In this study, moreover, it is shown that it provides the same results in l²-norm minimization problems as those of original templates. This means that there is no degradation of recognition performance in authentication systems using l²-norm minimization. Therefore, the protected templates can be reissued multiple times without original templates. In addition, a DFT-based template protection scheme is proposed as an unitary transform-based one. The proposed scheme enables to efficiently generate protected templates by the FFT, in addition to the useful properties. It is also applied to face recognition experiments to evaluate the effectiveness.},
keywords={},
doi={10.1587/transinf.2015MUP0007},
ISSN={1745-1361},
month={January},}

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TY - JOUR
TI - Unitary Transform-Based Template Protection and Its Application to l2-norm Minimization Problems
T2 - IEICE TRANSACTIONS on Information
SP - 60
EP - 68
AU - Ibuki NAKAMURA
AU - Yoshihide TONOMURA
AU - Hitoshi KIYA
PY - 2016
DO - 10.1587/transinf.2015MUP0007
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2016
AB - We focus on the feature transform approach as one methodology for biometric template protection, where the template consists of the features extracted from the biometric trait. This study considers some properties of the unitary (including orthogonal) transform-based template protection in particular. It is known that the Euclidean distance between the templates protected by a unitary transform is the same as that between original (non-protected) ones as a property. In this study, moreover, it is shown that it provides the same results in l²-norm minimization problems as those of original templates. This means that there is no degradation of recognition performance in authentication systems using l²-norm minimization. Therefore, the protected templates can be reissued multiple times without original templates. In addition, a DFT-based template protection scheme is proposed as an unitary transform-based one. The proposed scheme enables to efficiently generate protected templates by the FFT, in addition to the useful properties. It is also applied to face recognition experiments to evaluate the effectiveness.
ER -