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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Biometric recognition robust to partial and poor quality fingerprints using distinctive region adaptive SIFT keypoint fusion
TL;DR: It is demonstrated that using only minutia points for fingerprint matching does not give optimum results, and a feature level fusion technique using minutian and Scale Invariant Feature Transform (SIFT) keypoints is proposed.
Semiparametric score level fusion: Gaussian copula approach
TL;DR: The theory how the semiparametric score level fusion using Gaussian copula improves the recognition of the individual systems is presented and the performance using synthetic data will be shown.
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Sequential decision fusion of multibiometrics applied to text-dependent speaker verification for controlled errors
TL;DR: A sequential classifier fusion architecture that integrates multi-instance and multisample fusion schemes is proposed that enables a controlled trade-off between false alarms and false rejects and is desirable in most of the speaker verification applications.
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Effectiveness of symmetric rejection for a secure and user convenient multistage biometric system
TL;DR: Results demonstrate strong effect of symmetric rejection method on creating a secure and user convenient multistage biometric verification system.
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Multimodal Biometric Recognition Based on 3D Ultrasound Palmprint-Hand Geometry Fusion
TL;DR: A multimodal ultrasound recognition system based on the fusion between 3D hand geometry and 3D palmprint features is proposed and experimentally evaluated, showing that fusion is able to dramatically improve the recognition performances of the single biometrics.
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