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
Single sensor-based multi-quality multi-modal biometric score database and its performance evaluation
TL;DR: A large-scale multi-quality multi-modal biometric score database is constructed and performance evaluation results both for quality-independent and quality-dependent score-level fusion approaches are provided using two protocols that will be beneficial to the score- level fusion research community.
Dissertation
Novel approaches to biometric security with an emphasis on liveness and coercion detection.
TL;DR: The development of an algorithm to denote the level of security an individual technique has achieved will be followed by the development of a new taxonomy that will classify liveness detection while moving away from the current ordinal measurement system used within the research area.
Journal ArticleDOI
MultiQ: single sensor-based multi-quality multi-modal large-scale biometric score database and its performance evaluation
TL;DR: A very large-scale single sensor-based multi-quality multi-modal biometric score database called MultiQ Score Database version 2 is presented to advance the research into evaluation, comparison, and benchmarking of score-level fusion approaches using both quality-independent and quality-dependent protocols.
Proceedings ArticleDOI
Sparse support faces
TL;DR: A well-principled approach is proposed that can outperform state-of-the-art methods both in terms of recognition accuracy and number of required face templates, by jointly learning an optimal combination of matching scores and the corresponding subset of face templates.
DissertationDOI
Homogeneous and heterogeneous face recognition: enhancing, encoding and matching for practical applications
TL;DR: A cross spectral matching method that encodes magnitude and phase of multi-spectral face images filtered with a bank of Gabor filters and is adopted in a camera network set up where cameras acquire several views of the same individual.
References
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Journal ArticleDOI
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