Binarized revocable biometrics in face recognition

Ying Han Pang, Beng Jin Teoh, Ngo Chek Ling David

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a novel revocable two-factor authentication approach which combines user-specific tokenized pseudo-random bit sequence with biometrics data via a logic operation. Through the process, a distinct binary code per person, coined as bio-Bit, is formed. There is no deterministic way to acquire bio-Bit without having both factors. This feature offers an extra protection layer against biometrics fabrication since bio-Bit authenticates is replaceable via token replacement. The proposed method also presents functional advantages of obtaining zero equal error rate and yielding a clean separation between the genuine and imposter populations. Thereby, false accept rate can be eradicated without suffering from the increased occurrence of false reject rate.

Original languageEnglish
Title of host publicationComputational Intelligence and Security - International Conference, CIS 2005, Proceedings
Pages788-795
Number of pages8
DOIs
Publication statusPublished - 2005 Dec 1
EventInternational Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China
Duration: 2005 Dec 152005 Dec 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3802 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Computational Intelligence and Security, CIS 2005
CountryChina
CityXi'an
Period05/12/1505/12/19

Fingerprint

Biometrics
Face recognition
Face Recognition
Binary Code
Authentication
Replacement
Error Rate
Fabrication
Person
Logic
Distinct
Binary codes
Zero
False

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Pang, Y. H., Teoh, B. J., & David, N. C. L. (2005). Binarized revocable biometrics in face recognition. In Computational Intelligence and Security - International Conference, CIS 2005, Proceedings (pp. 788-795). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3802 LNAI). https://doi.org/10.1007/11596981_115
Pang, Ying Han ; Teoh, Beng Jin ; David, Ngo Chek Ling. / Binarized revocable biometrics in face recognition. Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. 2005. pp. 788-795 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Pang, YH, Teoh, BJ & David, NCL 2005, Binarized revocable biometrics in face recognition. in Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3802 LNAI, pp. 788-795, International Conference on Computational Intelligence and Security, CIS 2005, Xi'an, China, 05/12/15. https://doi.org/10.1007/11596981_115

Binarized revocable biometrics in face recognition. / Pang, Ying Han; Teoh, Beng Jin; David, Ngo Chek Ling.

Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. 2005. p. 788-795 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3802 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper proposes a novel revocable two-factor authentication approach which combines user-specific tokenized pseudo-random bit sequence with biometrics data via a logic operation. Through the process, a distinct binary code per person, coined as bio-Bit, is formed. There is no deterministic way to acquire bio-Bit without having both factors. This feature offers an extra protection layer against biometrics fabrication since bio-Bit authenticates is replaceable via token replacement. The proposed method also presents functional advantages of obtaining zero equal error rate and yielding a clean separation between the genuine and imposter populations. Thereby, false accept rate can be eradicated without suffering from the increased occurrence of false reject rate.

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Pang YH, Teoh BJ, David NCL. Binarized revocable biometrics in face recognition. In Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. 2005. p. 788-795. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11596981_115