Biometric binary string generation with detection rate optimized bit allocation

C. Chen; Raymond N.J. Veldhuis; T.A.M. Kevenaar; A.H.M. Akkermans

doi:10.1109/CVPRW.2008.4563112

Biometric binary string generation with detection rate optimized bit allocation

C. Chen, Raymond N.J. Veldhuis, T.A.M. Kevenaar, A.H.M. Akkermans

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

23 Citations (Scopus)

196 Downloads (Pure)

Abstract

Extracting binary strings from real-valued templates has been a fundamental issue in many biometric template protection systems. In this paper, we present an optimal bit allocation method (OBA). By means of it, a binary string at a pre-defined length with maximized overall detection rate is generated. Experiments with the binary strings and a Hamming distance classifier on FRGC and FERET databases show promising performance in terms of FAR and FRR.

Original language	Undefined
Title of host publication	2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshop on Biometrics
Place of Publication	Los Alamitos
Publisher	IEEE
Pages	1-7
Number of pages	7
ISBN (Print)	978-1-4244-2340-8
DOIs	https://doi.org/10.1109/CVPRW.2008.4563112
Publication status	Published - 28 Jun 2008
Event	2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2008 - Anchorage, United States Duration: 28 Jun 2008 → 28 Jun 2008

Publication series

Name
Publisher	IEEE Computer Society Press
Number	WoTUG-31

Workshop

Workshop	2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2008
Abbreviated title	CVPR
Country/Territory	United States
City	Anchorage
Period	28/06/08 → 28/06/08

Keywords

CR-I.5
SCS-Safety
EWI-14290
IR-65169
METIS-254940

Access to Document

10.1109/CVPRW.2008.4563112

Cite this

@inproceedings{7c7faded5f50434a8e8367916d56a6a7,

title = "Biometric binary string generation with detection rate optimized bit allocation",

abstract = "Extracting binary strings from real-valued templates has been a fundamental issue in many biometric template protection systems. In this paper, we present an optimal bit allocation method (OBA). By means of it, a binary string at a pre-defined length with maximized overall detection rate is generated. Experiments with the binary strings and a Hamming distance classifier on FRGC and FERET databases show promising performance in terms of FAR and FRR.",

keywords = "CR-I.5, SCS-Safety, EWI-14290, IR-65169, METIS-254940",

author = "C. Chen and Veldhuis, {Raymond N.J.} and T.A.M. Kevenaar and A.H.M. Akkermans",

note = "10.1109/CVPRW.2008.4563112 ; 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2008 ; Conference date: 28-06-2008 Through 28-06-2008",

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month = jun,

day = "28",

doi = "10.1109/CVPRW.2008.4563112",

language = "Undefined",

isbn = "978-1-4244-2340-8",

publisher = "IEEE",

number = "WoTUG-31",

pages = "1--7",

booktitle = "2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshop on Biometrics",

address = "United States",

}

Chen, C, Veldhuis, RNJ, Kevenaar, TAM & Akkermans, AHM 2008, Biometric binary string generation with detection rate optimized bit allocation. in 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshop on Biometrics., 10.1109/CVPRW.2008.4563112, IEEE, Los Alamitos, pp. 1-7, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2008, Anchorage, Alaska, United States, 28/06/08. https://doi.org/10.1109/CVPRW.2008.4563112

Biometric binary string generation with detection rate optimized bit allocation. / Chen, C.; Veldhuis, Raymond N.J.; Kevenaar, T.A.M. et al.
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshop on Biometrics. Los Alamitos: IEEE, 2008. p. 1-7 10.1109/CVPRW.2008.4563112.

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

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AB - Extracting binary strings from real-valued templates has been a fundamental issue in many biometric template protection systems. In this paper, we present an optimal bit allocation method (OBA). By means of it, a binary string at a pre-defined length with maximized overall detection rate is generated. Experiments with the binary strings and a Hamming distance classifier on FRGC and FERET databases show promising performance in terms of FAR and FRR.

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