Your Search Results

Use this resource - and many more! - in your textbook!

AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.

Experience the freedom of customizing your course pack with AcademicPub!
Not an educator but still interested in using this content? No problem! Visit our provider's page to contact the publisher and get permission directly.

Multi-space random projection of face biometric in the radon domain

By: Woo, W.L.; Dlay, S.S.; Dabbah, M.A.;

2008 / IEEE / 978-1-4244-1875-6


This item was taken from the IEEE Conference ' Multi-space random projection of face biometric in the radon domain ' Biometric authentication cannot replace traditional authentication systems unless biometric data is sufficiently protected during the entire authentication procedure. In this paper a novel method to protect face biometric is presented. The Randomized Radon Signature (RRS) overcomes the natural limitations of biometrics by providing unique, non-reversible and reissueable templates to replace face images in storage and during processing. The face image is transformed into the Radon space where the signatures are constructed and then projected into a random multi-space. Using the eigenface algorithm for evaluation, the results have shown a 252.78% improvement in the separation of the genuine and impostor distributions leading to an 81.49% reduction in the equal error rate.