Incorporating image quality in multi-algorithm fingerprint verification

  • Authors:
  • Julian Fierrez-Aguilar;Yi Chen;Javier Ortega-Garcia;Anil K. Jain

  • Affiliations:
  • ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain;Department of Computer Science and Engineering, Michigan State University, East Lansing, MI;ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain;Department of Computer Science and Engineering, Michigan State University, East Lansing, MI

  • Venue:
  • ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
  • Year:
  • 2006

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Abstract

The effect of image quality on the performance of fingerprint verification is studied. In particular, we investigate the performance of two fingerprint matchers based on minutiae and ridge information as well as their score-level combination under varying fingerprint image quality. The ridge-based system is found to be more robust to image quality degradation than the minutiae-based system. We exploit this fact by introducing an adaptive score fusion scheme based on automatic quality estimation in the spatial frequency domain. The proposed scheme leads to enhanced performance over a wide range of fingerprint image quality.