Tuning cost and performance in multi-biometric systems: A novel and consistent view of fusion strategies based on the Sequential Probability Ratio Test (SPRT)

Authors:
Lorene Allano;Bernadette Dorizzi;Sonia Garcia-Salicetti
Affiliations:
Institut Telecom, Telecom and Management SudParis, 9 rue Charles Fourier, 91011 Evry Cedex, France;Institut Telecom, Telecom and Management SudParis, 9 rue Charles Fourier, 91011 Evry Cedex, France;Institut Telecom, Telecom and Management SudParis, 9 rue Charles Fourier, 91011 Evry Cedex, France
Venue:
Pattern Recognition Letters
Year:
2010

Citing 8
Cited 1

Speaker identification and verification using Gaussian mixture speaker models

Speech Communication
Serial classifier combination for handwritten word recognition

ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Robust Real-Time Face Detection

International Journal of Computer Vision
Likelihood Ratio-Based Biometric Score Fusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms

IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Serial fusion of fingerprint and face matchers

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Multibiometrics

Handbook of Multibiometrics

A user-specific and selective multimodal biometric fusion strategy by ranking subjects

Pattern Recognition

Quantified Score

Hi-index	0.10

Visualization

Abstract

In this paper we propose a novel sequential score fusion strategy for multi-biometric systems. The strategy's aim is to reduce the cost of a multi-biometric system by dynamically fusing the optimal number of systems required to take the final decision. This way we optimise at the same time cost and performance in the system. The novelty of this paper lies in the automatic tuning of the decision parameters (thresholds) at a desired level of performance by revisiting the Sequential Probability Ratio Test (SPRT).