PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Database, Protocols and Tools for Evaluating Score-Level Fusion Algorithms in Biometric Authentication
Norman Poh and Samy Bengio
Pattern Recognition Volume 53, Number 11, 4384-4396, 2006.

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Abstract

Fusing the scores of several biometric systems is a very promising approach to improve the overall system's accuracy. Despite many works in the literature, it is surprising that there is no coordinated effort in making a benchmark database available. It should be noted that fusion in this context consists not only of multimodal fusion, but also intramodal fusion, i.e., fusing systems using the same biometric modality but different features, or same features but using different classifiers. Building baseline systems from scratch often prevents researchers from putting more efforts in understanding the fusion problem. This paper describes a database of scores taken from experiments carried out on the XM2VTS face and speaker verification database. It then proposes several fusion protocols and provides some state-of-the-art tools to evaluate the fusion performance.

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EPrint Type:Article
Additional Information:biometric authentication fusion
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Multimodal Integration
ID Code:1110
Deposited By:Norman Poh
Deposited On:01 October 2005

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