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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Journal ArticleDOI
Deep binary codes for large scale image retrieval
TL;DR: A novel and effective method to create compact binary codes (deep binary codes) based on deep convolutional features for image retrieval based on a generic model which does not require additional training for new image domains and the dynamic late fusion scheme is query adaptive.
Journal ArticleDOI
QFuse: Online learning framework for adaptive biometric system
TL;DR: This paper presents an adaptive context switching algorithm coupled with online learning to address the scalability and accommodate the variations in data distribution of biometrics.
Journal ArticleDOI
A confidence-based late fusion framework for audio-visual biometric identification
TL;DR: This paper presents a confidence-based late fusion framework and its application to audio-visual biometric identification and proposes modifications to the highest rank and Borda count rank fusion rules to incorporate the matcher confidence.
Patent
Distributing biometric authentication between devices in an ad hoc network
TL;DR: In this article, a biometric authentication of a user between multiple devices in an ad hoc personal wireless network is discussed, where each secondary device performs additional authentication of the same user using a low reliability biometric sensor such as a digital camera for facial recognition, a microphone for voice recognition or an accelerometer for gesture recognition.
Journal ArticleDOI
Incremental granular relevance vector machine
TL;DR: The proposed iGRVM which incorporates incremental and granular learning in RVM can be a good alternative for biometric score classification with faster testing time.
References
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Journal ArticleDOI
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