A novel verification criterion for distortion-free fingerprints

  • Authors:

  • Neil Yager;Adnan Amin

  • Affiliations:

  • School of Computer Science and Engineering, University of New South Wales, Sydney, Australia;School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

  • Venue:
  • CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
  • Year:
  • 2005

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Abstract

An important aspect of fingerprint verification systems is the method used to quantify the similarity between two fingerprints. This involves two key components: choosing fingerprint features that will be used for comparison and selecting a match score function to calculate the degree of correspondence. The choice of features and a match score function can have a significant impact on the performance of a system. This paper presents a novel fingerprint verification criterion based on tabulating ridge intersections between distortion free fingerprints. Several alternative matching criteria have been implemented, and their performance is compared using a publicly available FVC2002 dataset. The novel ridge based approach proves to be highly discriminative, and a strong result is obtained by a hybrid system using a combination of minutiae and ridge based features.