Randomized radon signature for face biometric verification

M. A. Dabbah, S. S. Dlay, W. L. Woo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Conventional biometric systems use the original biometrics for authentication, which exposes the users' identities to a risk of being compromised. The Randomized Radon Signature (RRS) is a cancellable biometric technique that protects face biometrics during authentication by using Radon transform and random projection. The extracted Radon signatures are generated from the parametric domain of the face and then projected into a random multi-space of a uniform distribution. The generated RRS templates are non-reversible, suitable for image-based statistical face classifiers and reissueable. In this paper the fisherface algorithm is used to conduct a comparison between the original face images and the RRS templates. Results have shown a dramatic 53.37% enhancement in the genuine and impostor distributions separation that leads to a 31.34% reduction in the equal error rate.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
PublisherIEEE
Pages273-276
Number of pages4
ISBN (Print)1424417643, 9781424417643
DOIs
Publication statusPublished - 12 Dec 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 12 Oct 200815 Oct 2008

Publication series

NameICIP
PublisherIEEE
Number15
Volume2008
ISSN (Print)1522-4880
ISSN (Electronic)2381-8549

Conference

Conference2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period12/10/0815/10/08

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