Multi-algorithm fusion with template protection

E.J.C. Kelkboom; X. Zhou; J. Breebaart; Raymond N.J. Veldhuis; C. Busch

doi:10.1109/BTAS.2009.5339045

Multi-algorithm fusion with template protection

E.J.C. Kelkboom, X. Zhou, J. Breebaart, Raymond N.J. Veldhuis, C. Busch

Databases (Former)

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

47 Citations (Scopus)

116 Downloads (Pure)

Abstract

The popularity of biometrics and its widespread use introduces privacy risks. To mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. In parallel to these developments, fusion of multiple sources of biometric information have shown to improve the verification performance of the biometric system. In this work we analyze fusion of the protected template from two 3D recognition algorithms (multi-algorithm fusion) at feature-, score-, and decision-level. We show that fusion can be applied at the known fusion-levels with the template protection technique known as the Helper-Data System. We also illustrate the required changes of the Helper-Data System and its corresponding limitations. Furthermore, our experimental results, based on 3D face range images of the FRGC v2 dataset, show that indeed fusion improves the verification performance.

Original language	Undefined
Title of host publication	IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, 2009. BTAS '09.
Place of Publication	Piscataway
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Print)	978-1-4244-5019-0
DOIs	https://doi.org/10.1109/BTAS.2009.5339045
Publication status	Published - 28 Sept 2009
Event	3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009 - Washington, United States Duration: 28 Sept 2009 → 30 Sept 2009 Conference number: 3

Publication series

Name
Publisher	IEEE Computer Society Press

Conference

Conference	3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009
Abbreviated title	BTAS
Country/Territory	United States
City	Washington
Period	28/09/09 → 30/09/09

Keywords

METIS-264265
Fusion
Biometrics
EWI-17050
Template Protection
EC Grant Agreement nr.: FP6/026845
SCS-Safety
IR-69009

Access to Document

10.1109/BTAS.2009.5339045

Kelkboom09_Multi-Algorithm_Fusion_with_Template_Protection

Cite this

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title = "Multi-algorithm fusion with template protection",

abstract = "The popularity of biometrics and its widespread use introduces privacy risks. To mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. In parallel to these developments, fusion of multiple sources of biometric information have shown to improve the verification performance of the biometric system. In this work we analyze fusion of the protected template from two 3D recognition algorithms (multi-algorithm fusion) at feature-, score-, and decision-level. We show that fusion can be applied at the known fusion-levels with the template protection technique known as the Helper-Data System. We also illustrate the required changes of the Helper-Data System and its corresponding limitations. Furthermore, our experimental results, based on 3D face range images of the FRGC v2 dataset, show that indeed fusion improves the verification performance.",

keywords = "METIS-264265, Fusion, Biometrics, EWI-17050, Template Protection, EC Grant Agreement nr.: FP6/026845, SCS-Safety, IR-69009",

author = "E.J.C. Kelkboom and X. Zhou and J. Breebaart and Veldhuis, {Raymond N.J.} and C. Busch",

note = "10.1109/BTAS.2009.5339045 ; 3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009 ; Conference date: 28-09-2009 Through 30-09-2009",

year = "2009",

month = sep,

day = "28",

doi = "10.1109/BTAS.2009.5339045",

language = "Undefined",

isbn = "978-1-4244-5019-0",

publisher = "IEEE",

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Kelkboom, EJC, Zhou, X, Breebaart, J, Veldhuis, RNJ & Busch, C 2009, Multi-algorithm fusion with template protection. in IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, 2009. BTAS '09.., 10.1109/BTAS.2009.5339045, IEEE, Piscataway, pp. 1-8, 3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009, Washington, District of Columbia, United States, 28/09/09. https://doi.org/10.1109/BTAS.2009.5339045

Multi-algorithm fusion with template protection. / Kelkboom, E.J.C.; Zhou, X.; Breebaart, J. et al.
IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, 2009. BTAS '09.. Piscataway: IEEE, 2009. p. 1-8 10.1109/BTAS.2009.5339045.

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

TY - GEN

T1 - Multi-algorithm fusion with template protection

AU - Kelkboom, E.J.C.

AU - Zhou, X.

AU - Breebaart, J.

AU - Veldhuis, Raymond N.J.

AU - Busch, C.

N1 - Conference code: 3

PY - 2009/9/28

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N2 - The popularity of biometrics and its widespread use introduces privacy risks. To mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. In parallel to these developments, fusion of multiple sources of biometric information have shown to improve the verification performance of the biometric system. In this work we analyze fusion of the protected template from two 3D recognition algorithms (multi-algorithm fusion) at feature-, score-, and decision-level. We show that fusion can be applied at the known fusion-levels with the template protection technique known as the Helper-Data System. We also illustrate the required changes of the Helper-Data System and its corresponding limitations. Furthermore, our experimental results, based on 3D face range images of the FRGC v2 dataset, show that indeed fusion improves the verification performance.

AB - The popularity of biometrics and its widespread use introduces privacy risks. To mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. In parallel to these developments, fusion of multiple sources of biometric information have shown to improve the verification performance of the biometric system. In this work we analyze fusion of the protected template from two 3D recognition algorithms (multi-algorithm fusion) at feature-, score-, and decision-level. We show that fusion can be applied at the known fusion-levels with the template protection technique known as the Helper-Data System. We also illustrate the required changes of the Helper-Data System and its corresponding limitations. Furthermore, our experimental results, based on 3D face range images of the FRGC v2 dataset, show that indeed fusion improves the verification performance.

KW - METIS-264265

KW - Fusion

KW - Biometrics

KW - EWI-17050

KW - Template Protection

KW - EC Grant Agreement nr.: FP6/026845

KW - SCS-Safety

KW - IR-69009

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M3 - Conference contribution

SN - 978-1-4244-5019-0

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BT - IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, 2009. BTAS '09.

PB - IEEE

CY - Piscataway

T2 - 3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009

Y2 - 28 September 2009 through 30 September 2009

ER -