Biometric template security using higher order spectra


Autoria(s): Chen, Brenden Chong; Chandran, Vinod
Data(s)

14/03/2010

Resumo

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%

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/29873/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/29873/1/c29873.pdf

DOI:10.1109/ICASSP.2010.5495464

Chen, Brenden Chong & Chandran, Vinod (2010) Biometric template security using higher order spectra. In Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2010, IEEE, Sheraton Dallas Hotel, Dallas, Texas.

Direitos

Copyright 2010 IEEE

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Fonte

Faculty of Built Environment and Engineering; Information Security Institute; School of Engineering Systems

Palavras-Chave #080109 Pattern Recognition and Data Mining #080106 Image Processing #Face Recognition #Higher Order Statistics #Biometrics
Tipo

Conference Paper