Journal ArticleDOI
Likelihood Ratio-Based Biometric Score Fusion
TLDR
Experiments on three multibiometric databases indicate that the proposed fusion framework achieves consistently high performance compared to commonly used score fusion techniques based on score transformation and classification.Abstract:
Multibiometric systems fuse information from different sources to compensate for the limitations in performance of individual matchers. We propose a framework for the optimal combination of match scores that is based on the likelihood ratio test. The distributions of genuine and impostor match scores are modeled as finite Gaussian mixture model. The proposed fusion approach is general in its ability to handle 1) discrete values in biometric match score distributions, 2) arbitrary scales and distributions of match scores, 3) correlation between the scores of multiple matchers, and 4) sample quality of multiple biometric sources. Experiments on three multibiometric databases indicate that the proposed fusion framework achieves consistently high performance compared to commonly used score fusion techniques based on score transformation and classification.read more
Citations
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Proceedings ArticleDOI
A New Scheme for Multisensor Image Fusion System
TL;DR: A general purpose scheme of real time image fusion system based on RTOS (real time operation system) is proposed, VME bus and distributed parallel computer architecture is given and the result of experiments indicate that this system works perfectly.
Journal ArticleDOI
A General Framework and Algorithms for Score Level Indexing and Fusion in Biometric Identification
TL;DR: A score level fusion scheme and a metric space indexing scheme are combined to improve the accuracy and response time in biometric identification, using only scores as information sources.
Adaptive Quality-Based Performance Prediction and Boosting for IRIS Authentication: Methodology and Its Illustration
T. Annapurna,P. Pavan Kumar +1 more
TL;DR: The planned methodology is generic and is appropriate for any biometric modality and for any alternative of a nonlinear mapping between vectors of quality measures and QS, CS, and QST.
Latent fingerprint matching
TL;DR: A comprehensive survey in the growth of latent fingerprint matching, from a computational and algorithms perspective, is provided in this report and encourages researchers to create and establish results in public latent fingerprint databases.
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