A comparative evaluation of fusion strategies for multimodal biometric verification

  • Authors:
  • J. Fierrez-Aguilar;J. Ortega-Garcia;D. Garcia-Romero;J. Gonzalez-Rodriguez

  • Affiliations:
  • Biometrics Research Lab., ATVS, Universidad Politecnica de Madrid, Spain;Biometrics Research Lab., ATVS, Universidad Politecnica de Madrid, Spain;Biometrics Research Lab., ATVS, Universidad Politecnica de Madrid, Spain;Biometrics Research Lab., ATVS, Universidad Politecnica de Madrid, Spain

  • Venue:
  • AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

The aim of this paper, regarding multimodal biometric verification, is twofold: on the one hand, some score fusion strategies reported in the literature are reviewed and, on the other hand, we compare experimentally a selection of them using as monomodal baseline experts: i) our face verification system based on a global face appearance representation scheme, ii) our minutiae-based fingerprint verification system, and iii) our on-line signature verification system based on HMM modeling of temporal functions, on the MCYT multimodal database. A new strategy is also proposed and discussed in order to generate a multimodal combined score by means of Support Vector Machine (SVM) classifiers from which user-independent and user-dependent fusion schemes are derived and evaluated.