TY - GEN
T1 - Biophasor
T2 - 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
AU - Teoh, Andrew B.J.
AU - Ngo, David C.L.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34547218990&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547218990&partnerID=8YFLogxK
U2 - 10.1109/ICARCV.2006.345404
DO - 10.1109/ICARCV.2006.345404
M3 - Conference contribution
AN - SCOPUS:34547218990
SN - 1424403421
SN - 9781424403424
T3 - 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
BT - 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
Y2 - 5 December 2006 through 8 December 2006
ER -