Template Protection on Multiple Facial Biometrics in the Signal Domain under Visible and Near-Infrared Light

Simon Kirchgasser; Luca Debiasi; Rudolf Schraml; Heinz Hofbauer; Andreas Uhl; Jonathan Boyle; James Ferryman

doi:10.1109/IWBF49977.2020.9107964

Template Protection on Multiple Facial Biometrics in the Signal Domain under Visible and Near-Infrared Light

Simon Kirchgasser, Luca Debiasi, Rudolf Schraml, Heinz Hofbauer, Andreas Uhl, Jonathan Boyle, James Ferryman

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

Abstract

Template protection techniques like cancellable biometrics have been introduced in order to overcome privacy issues in biometric applications. We conduct an ISO/IEC Standard 24745 compliant assessment of block re-mapping and warping focusing on recognition performance issues as well as security and unlinkability aspects. Both of these template protection schemes are applied on a multi-biometrics dataset in the signal (image) domain. The dataset includes 2D face, iris and periocular images which have been acquired not only using visual light (VIS) but also near-infrared light (NIR). With respect to the used data, this is the first study that applies and evaluates cancellable template protection methods in the signal domain on VIS/NIR 2D face, iris and periocular biometrics.

Original language	English
Title of host publication	2020 8th International Workshop on Biometrics and Forensics (IWBF)
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781728162324
DOIs	https://doi.org/10.1109/IWBF49977.2020.9107964
Publication status	Published - 4 Jun 2020

Keywords

2D NIR/VIS Face
NIR/VIS Iris
NIR/VIS Periocular
Performance Evaluation
Security
Template Protection
Unlinkability

Fields of Science and Technology Classification 2012

102 Computer Sciences

Access to Document

10.1109/IWBF49977.2020.9107964

Cite this

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title = "Template Protection on Multiple Facial Biometrics in the Signal Domain under Visible and Near-Infrared Light",

abstract = "Template protection techniques like cancellable biometrics have been introduced in order to overcome privacy issues in biometric applications. We conduct an ISO/IEC Standard 24745 compliant assessment of block re-mapping and warping focusing on recognition performance issues as well as security and unlinkability aspects. Both of these template protection schemes are applied on a multi-biometrics dataset in the signal (image) domain. The dataset includes 2D face, iris and periocular images which have been acquired not only using visual light (VIS) but also near-infrared light (NIR). With respect to the used data, this is the first study that applies and evaluates cancellable template protection methods in the signal domain on VIS/NIR 2D face, iris and periocular biometrics.",

keywords = "2D NIR/VIS Face, NIR/VIS Iris, NIR/VIS Periocular, Performance Evaluation, Security, Template Protection, Unlinkability",

author = "Simon Kirchgasser and Luca Debiasi and Rudolf Schraml and Heinz Hofbauer and Andreas Uhl and Jonathan Boyle and James Ferryman",

year = "2020",

month = jun,

day = "4",

doi = "10.1109/IWBF49977.2020.9107964",

language = "English",

pages = "1--6",

booktitle = "2020 8th International Workshop on Biometrics and Forensics (IWBF)",

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Template Protection on Multiple Facial Biometrics in the Signal Domain under Visible and Near-Infrared Light. / Kirchgasser, Simon; Debiasi, Luca; Schraml, Rudolf et al.
2020 8th International Workshop on Biometrics and Forensics (IWBF). 2020. p. 1-6 9107964.

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

TY - GEN

T1 - Template Protection on Multiple Facial Biometrics in the Signal Domain under Visible and Near-Infrared Light

AU - Kirchgasser, Simon

AU - Debiasi, Luca

AU - Schraml, Rudolf

AU - Hofbauer, Heinz

AU - Uhl, Andreas

AU - Boyle, Jonathan

AU - Ferryman, James

PY - 2020/6/4

Y1 - 2020/6/4

N2 - Template protection techniques like cancellable biometrics have been introduced in order to overcome privacy issues in biometric applications. We conduct an ISO/IEC Standard 24745 compliant assessment of block re-mapping and warping focusing on recognition performance issues as well as security and unlinkability aspects. Both of these template protection schemes are applied on a multi-biometrics dataset in the signal (image) domain. The dataset includes 2D face, iris and periocular images which have been acquired not only using visual light (VIS) but also near-infrared light (NIR). With respect to the used data, this is the first study that applies and evaluates cancellable template protection methods in the signal domain on VIS/NIR 2D face, iris and periocular biometrics.

AB - Template protection techniques like cancellable biometrics have been introduced in order to overcome privacy issues in biometric applications. We conduct an ISO/IEC Standard 24745 compliant assessment of block re-mapping and warping focusing on recognition performance issues as well as security and unlinkability aspects. Both of these template protection schemes are applied on a multi-biometrics dataset in the signal (image) domain. The dataset includes 2D face, iris and periocular images which have been acquired not only using visual light (VIS) but also near-infrared light (NIR). With respect to the used data, this is the first study that applies and evaluates cancellable template protection methods in the signal domain on VIS/NIR 2D face, iris and periocular biometrics.

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KW - NIR/VIS Iris

KW - NIR/VIS Periocular

KW - Performance Evaluation

KW - Security

KW - Template Protection

KW - Unlinkability

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ER -

Template Protection on Multiple Facial Biometrics in the Signal Domain under Visible and Near-Infrared Light

Abstract

Keywords

Fields of Science and Technology Classification 2012

Access to Document

Other files and links

PROTECT: Pervasive and UseR Focused BiomeTrics BordEr ProjeCT

IDENTITY: Computer Vision Enabled Multimedia Forensics and People Identification

Cite this

Template Protection on Multiple Facial Biometrics in the Signal Domain under Visible and Near-Infrared Light

Abstract

Keywords

Fields of Science and Technology Classification 2012

Access to Document

Other files and links

Projects

PROTECT: Pervasive and UseR Focused BiomeTrics BordEr ProjeCT

IDENTITY: Computer Vision Enabled Multimedia Forensics and People Identification

Cite this