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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Book
Template Matching Techniques in Computer Vision: Theory and Practice
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Journal ArticleDOI
Human Identification Using Finger Images
Ajay Kumar,Yingbo Zhou +1 more
TL;DR: A new approach to improve the performance of finger-vein identification systems presented in the literature is presented and two new score-level combinations are developed and investigated, i.e., holistic and nonlinear fusion.
Journal ArticleDOI
Security Evaluation of Pattern Classifiers under Attack
TL;DR: A framework for empirical evaluation of classifier security that formalizes and generalizes the main ideas proposed in the literature, and given examples of its use in three real applications show that security evaluation can provide a more complete understanding of the classifier's behavior in adversarial environments, and lead to better design choices.
Journal ArticleDOI
Comparison and combination of iris matchers for reliable personal authentication
Ajay Kumar,Arun Passi +1 more
TL;DR: It is suggested that the performance from the Haar wavelet and Log-Gabor filter based phase encoding is the most promising among all the four approaches considered in this work and the combination of these two matchers is most promising, both in terms of performance and the computational complexity.
References
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ReportDOI
Fingerprint Vendor Technology Evaluation 2003: Summary of Results and Analysis Report
Journal ArticleDOI
Exploiting global and local decisions for multimodal biometrics verification
TL;DR: This paper proposes to use a model that requires only a single training step for this application of multimodal biometric decision fusion, and proposes a relevant receiver operating characteristic performance for the local decision.
Book ChapterDOI
Improving fusion with margin-derived confidence in biometric authentication tasks
Norman Poh,Samy Bengio +1 more
TL;DR: The results of 32 fusion experiments carried out on the XM2VTS multimodal database show that fusion using margin is superior over fusion without the margin information, and combining both sources of information increases fusion performance further.
Journal ArticleDOI
Risk bounds for mixture density estimation
TL;DR: An O( 1 √ n ) bound on the estimation error which does not depend on the number of densities in the estimated combination is proved, which improves the bound of Li and Barron by removing the logn factor and also generalizes it to the base classes with converging Dudley integral.