Biophasor: Token supplemented cancellable biometrics

Andrew B.J. Teoh, David C.L. Ngo

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

24 Citations (Scopus)

Abstract

Biometrics characteristics are immutable, resulting in permanent biometrics compromise. To address this problem, we prescribe a generic cancellable biometrics formulation BioPhasor. BioPhasor is a set of binary code based on iterated mixing between the user-specific tokenised pseudo-random number and the biometric feature. This method enables straightforward revocation of biometric template via token replacement The transformation is non-invertible and BioPhasor able to achieve extremely low error rate compare to sole biometrics in verification setting. The privacy invasion and non-revocable problems in biometrics could be resolved by revocation of resulting feature through the pseudo-random number replacement We also consider an unfavorable scenario in which an imposter has access genuine token and used by the imposter to claim as the genuine user. The feasibility of the formulation is demonstrated by the experiments on fingerprint images from the FVC2004 database.

Original languageEnglish
Title of host publication9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
DOIs
Publication statusPublished - 2006 Dec 1
Event9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 - Singapore, Singapore
Duration: 2006 Dec 52006 Dec 8

Publication series

Name9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06

Other

Other9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
CountrySingapore
CitySingapore
Period06/12/506/12/8

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

Cite this

Teoh, A. B. J., & Ngo, D. C. L. (2006). Biophasor: Token supplemented cancellable biometrics. In 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 [4150370] (9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06). https://doi.org/10.1109/ICARCV.2006.345404