Likelihood-Ratio-Based Biometric Verification
نویسندگان
چکیده
منابع مشابه
Likelihood ratio based features for a trained biometric score fusion
In this work, we present a novel trained method for combining biometric matchers at the score level. The new method is based on a combination of machine learning classifiers trained using the match scores from different biometric approaches as features. The parameters of a finite Gaussian mixture model are used for modelling the genuine and impostor score densities during the fusion step. Sever...
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Anti-spoofing protection of biometric systems is always a serious issue in real-life applications of an automatic personal verification system. Despite the fact that face image is the most common way of identifying persons and one of the most popular modalities in automatic biometric authentication, little attention has been given to the spoof resistance of face verification algorithms. In this...
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As applications of biometric verification proliferate, users become more vulnerable to privacy infringement. Biometric data is very privacy sensitive as it may contain information as sex, ethnicity and health conditions which should not be shared with third parties during the verification process. Moreover, biometric data that has fallen into the wrong hands often leads to identity theft. Secur...
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It has been shown that the authentication performance of a biometric system is dependent on the models/templates specific to a user. As a result, some users may be more easily recognised or impersonated than others. We propose a modelspecific (or user-specific) likelihood based score normalisation procedure that can reduce this dependency. While in its original form, such an approach is not fea...
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ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2004
ISSN: 1051-8215
DOI: 10.1109/tcsvt.2003.818356