A Statistical Evaluation Model for Minutiae-Based Automatic Fingerprint Verification Systems

  • J. S. Chen
  • Y. S. Moon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

Evaluation of the reliability of an Automatic Fingerprint Verification System (AFVS) is usually performed by applying it to a fingerprint database to get the verification accuracy. However, such an evaluation process might be quite time consuming especially for big fingerprint databases. This may prolong the developing cycles of AFVSs and thus increase the cost. Also, comparison of the reliability of different AFVSs may be unfair if different fingerprint databases are used. In this paper, we propose a solution to solve these problems by creating an AFVS evaluation model which can be used for verification accuracy prediction and fair reliability comparison. Experimental results show that our model can predict the performance of a real AFVS pretty satisfactorily.

Keywords

Probability Density Function Fingerprint Image Direction Difference Core Point Verification Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • J. S. Chen
    • 1
  • Y. S. Moon
    • 1
  1. 1.Department of Computer Science and EngineeringThe Chinese University of Hong KongShatin, N. T., Hong Kong

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