Mar 25, 2010 · The error-detection tradeoff curve that combines the false acceptance and false rejection rates is estimated to assess the system performance.
under the Gaussian assumption, the performance of a biometric system based on binary vectors under HD comparison and considering the use of multiple ...
In practice, the number of samples is empirically chosen without fully considering its fundamental impact. In this paper, we present a Gaussian analytical ...
A Gaussian analytical framework for estimating the performance of a binary biometric system given the number of samples being used in the enrollment and the ...
Fingerprint. Dive into the research topics of 'Binary Biometrics: An Analytic Framework to Estimate the Performance Curves Under Gaussian Assumption'.
Most of these methods use cryptographic primitives or error-correcting codes (ECCs) and use a binary representation of the real-valued biometric data. Hence, ...
In this paper we introduce a framework for analytically estimating P<sub>e</sub> under the assumption that the within-and between-class distribution can be ...
Breebaart, et al., “Binary Biometrics: An Analytic Framework to Estimate the Performance Curves Under Gaussian Assumption,” Systems, Man and Cybernetics ...
Binary Biometrics: An Analytic Framework to Estimate the Performance Curves Under Gaussian Assumption. Kelkboom, E.J.C., Molina, G.G., Breebaart, J., ...
Binary biometrics: An analytic framework to estimate the performance curves under gaussian assumption. EJC Kelkboom, GG Molina, J Breebaart, RNJ Veldhuis ...