Title :
Biometric template security using Higher Order Spectra
Author :
Chen, Brenden ; Chandran, Vinod
Author_Institution :
Queensland Univ. of Technol., Brisbane, QLD, Australia
Abstract :
A method of improving the security of biometric templates which satisfies desirable properties such as (a) irreversibility of the template, (b) revocability and assignment of a new template to the same biometric input, (c) matching in the secure transformed domain is presented. It makes use of an iterative procedure based on the bispectrum that serves as an irreversible transformation for biometric features because signal phase is discarded each iteration. Unlike the usual hash function, this transformation preserves closeness in the transformed domain for similar biometric inputs. A number of such templates can be generated from the same input. These properties are illustrated using synthetic data and applied to images from the FRGC 3D database with Gabor features. Verification can be successfully performed using these secure templates with an EER of 5.85%.
Keywords :
Gabor filters; biometrics (access control); feature extraction; higher order statistics; image matching; iterative methods; EER; FRGC 3D database; Gabor feature; biometric template security; bispectrum; higher order spectra; higher order spectral transform; irreversible transformation; iterative procedure; synthetic data; Bioinformatics; Biometrics; Feature extraction; Fingerprint recognition; Higher order statistics; Image databases; Principal component analysis; Reverse engineering; Security; Spatial databases; Face recognition; Higher order statistics;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495464