Cancelable Biometrics Realization With Multispace Random Projections


Teoh, Andrew Beng Jin and Yuang, Chong Tze (2007) Cancelable Biometrics Realization With Multispace Random Projections. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 37 (5). pp. 1096-1106. ISSN 1083-4419

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Biometric characteristics cannot be changed; therefore, the loss of privacy is permanent if they are ever compromised. This paper presents a two-factor cancelable formulation, where the biometric data are distorted in a revocable but non-reversible manner by first transforming the raw biometric data into a fixed-length feature vector and then projecting the feature vector onto a sequence of random subspaces that were derived from a user-specific pseudorandom number (PRN). This process is revocable and makes replacing biometrics as easy as replacing PRNs. The formulation has been verified under a number of scenarios (normal, stolen PRN, and compromised biometrics scenarios) using 2400 Facial Recognition Technology face images. The diversity property is also examined.

Item Type: Article
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 26 Sep 2011 05:27
Last Modified: 18 Feb 2014 02:29


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