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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Face recognition: face in video, age invariance, and facial marks
Anil K. Jain,Unsang Park +1 more
TL;DR: A 3D aging modeling technique is proposed and it is shown how it can be used to compensate for age variations to improve face recognition performance and an automatic facial mark detection method and a fusion scheme that combines the facial mark matching with a commercial face recognition matcher are proposed.
Patent
Biometric authentication system
TL;DR: In this article, an identity likelihood which denotes a likelihood of the user being identified is computed on the basis of the degree of similarity between the user's biometrics and the plurality of registered instances of biometric information.
Journal ArticleDOI
Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error
TL;DR: In this article, the function a supervised learning machine approximates to after being trained to minimize the Cross-Entropy error is obtained and can be used to implement the NP detector, which maximizes the probability of detection, maintaining the probabilities of false alarm below or equal to a predefined value.
Journal ArticleDOI
Orientation-based face recognition using multispectral imagery and score fusion
TL;DR: Experimental results with the multispectral faces of 96 subjects show that the proposed orientation-based face recognition method is very promising in contrast with three classical methods.
Journal ArticleDOI
Fingerprint Biometrics From Newborn to Adult: A Study From a National Identity Database System
Javier Preciozzi,Guillermo Garella,Vanina Camacho,Francesco Franzoni,Luis Di Martino,Guillermo Carbajal,Alicia Fernández +6 more
TL;DR: It is shown that, after applying a growth factor to scale minors fingerprints to an adult size, good accuracy can be obtained from ages starting at one year old, and that fingerprints of children and adults can be compared without a significant loss of accuracy.
References
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Journal ArticleDOI
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