
Proceedings Paper • Open Access
Quality dependent fusion of intramodal and multimodal biometric experts
Paper Abstract
We address the problem of score level fusion of intramodal and multimodal experts in the context of biometric
identity verification. We investigate the merits of confidence based weighting of component experts. In contrast
to the conventional approach where confidence values are derived from scores, we use instead raw measures of
biometric data quality to control the influence of each expert on the final fused score. We show that quality based
fusion gives better performance than quality free fusion. The use of quality weighted scores as features in the
definition of the fusion functions leads to further improvements. We demonstrate that the achievable performance
gain is also affected by the choice of fusion architecture. The evaluation of the proposed methodology involves
6 face and one speech verification experts. It is carried out on the XM2VTS data base.
Paper Details
Date Published: 12 April 2007
PDF: 14 pages
Proc. SPIE 6539, Biometric Technology for Human Identification IV, 653903 (12 April 2007); doi: 10.1117/12.724008
Published in SPIE Proceedings Vol. 6539:
Biometric Technology for Human Identification IV
Salil Prabhakar; Arun A. Ross, Editor(s)
PDF: 14 pages
Proc. SPIE 6539, Biometric Technology for Human Identification IV, 653903 (12 April 2007); doi: 10.1117/12.724008
Show Author Affiliations
J. Kittler, Univ. of Surrey, Guildford (United Kingdom)
N. Poh, Univ. of Surrey, Guildford (United Kingdom)
O. Fatukasi, Univ. of Surrey, Guildford (United Kingdom)
K. Messer, Univ. of Surrey, Guildford (United Kingdom)
N. Poh, Univ. of Surrey, Guildford (United Kingdom)
O. Fatukasi, Univ. of Surrey, Guildford (United Kingdom)
K. Messer, Univ. of Surrey, Guildford (United Kingdom)
Published in SPIE Proceedings Vol. 6539:
Biometric Technology for Human Identification IV
Salil Prabhakar; Arun A. Ross, Editor(s)
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