Compatibility of biometric strengthening with probabilistic neural network

Shih-Yin, Ooi and Andrew Beng Jin, Teoh and Thian-Song, Ong (2008) Compatibility of biometric strengthening with probabilistic neural network. In: International Symposium on Biometrics and Security Technologies, 23-24 APR 2008, Islamabad, PAKISTAN.

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Abstract

There are growing concerns about the privacy invasion of the biometric technology. This is due to the fact that biometric characteristics are immutable and hence their compromise is permanent. Thus, reissuable biometrics was devised to denote biometric templates that can be reissued and replaced. Biometric Strengthening is a form of reissuable biometrics which strengthens the biometric templates by altering their original values thru the Gaussian distribution, thus generating a new set of values. However, the main drawback of Biometric Strengthening is its great degradation in performance when the legitimate token is stolen and used by the imposter to claim as the legitimate user. In this paper, we employ the probabilistic neural network (PNN) as the classifier to alleviate this problem. The compatibility of Biometric Strengthening with PNN is discussed, along with the experiments that are tested on our own independent offline signature data set.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > 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 01:34
Last Modified: 26 Sep 2011 01:34
URI: http://shdl.mmu.edu.my/id/eprint/2970

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