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Book ChapterDOI

Expert Conciliation for Multi Modal Person Authentication Systems by Bayesian Statistics

TLDR
By using real data coming from a person authentication system using image and speech data, it is confirmed that the proposed supervisor improves the quality of individual expert decisions by reaching success rates of 99.5 %.
Abstract
We present an algorithm functioning as a supervisor module in a multi expert decision making machine. It uses the Bayes theory in order to estimate the biases of individual expert opinions. These are then used to calibrate and conciliate expert opinions to one opinion. We present a framework for simulating decision strategies using expert opinions whose properties are easily modifiable. By using real data coming from a person authentication system using image and speech data we were able to confirm that the proposed supervisor improves the quality of individual expert decisions by reaching success rates of 99.5 %.

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Citations
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Journal ArticleDOI

An introduction to biometric recognition

TL;DR: A brief overview of the field of biometrics is given and some of its advantages, disadvantages, strengths, limitations, and related privacy concerns are summarized.
Journal ArticleDOI

Score normalization in multimodal biometric systems

TL;DR: Study of the performance of different normalization techniques and fusion rules in the context of a multimodal biometric system based on the face, fingerprint and hand-geometry traits of a user found that the application of min-max, z-score, and tanh normalization schemes followed by a simple sum of scores fusion method results in better recognition performance compared to other methods.
Journal ArticleDOI

Information fusion in biometrics

TL;DR: This paper addresses the problem of information fusion in biometric verification systems by combining information at the matching score level by combining three biometric modalities (face, fingerprint and hand geometry).
Journal ArticleDOI

Filterbank-based fingerprint matching

TL;DR: A filter-based fingerprint matching algorithm which uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode and is able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature.
Journal ArticleDOI

Biometrics: a tool for information security

TL;DR: An overview of biometrics is provided and some of the salient research issues that need to be addressed for making biometric technology an effective tool for providing information security are discussed.
References
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Journal ArticleDOI

Combining Probability Distributions from Dependent Information Sources

TL;DR: In the face of uncertainty, all available information should be used to make inferences or decisions as mentioned in this paper, when probability distributions for an uncertain quantity are obtained from experts, models, or models.
Journal ArticleDOI

On the Reconciliation of Probability Assessments

TL;DR: In this paper, a general model for the analysis of probability assessments is introduced, and two approaches to reconcile incoherent probability assessments are developed, one internal approach, one estimates the subject's true probabilities on the basis of his assessments, and another external observer updates his own coherent probabilities in the light of the assessments made by the subject.
Book ChapterDOI

The M2VTS Multimodal Face Database (Release 1.00)

TL;DR: This paper presents an overview of the multimodal face database recorded at UCL premises for the purpose of research applications inside the M2VTS project, offering synchronized video and speech data as well as image sequences allowing to access multiple views of a face.
Journal ArticleDOI

Reliability (and Fault Tree) Analysis Using Expert Opinions

TL;DR: A formal procedure for the use of expert opinions in reliability (and fault tree) analysis in the case of multicomponent parallel redundant systems for which there could be a single expert or a group of experts giving us opinions about each component.
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