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Automated fingerprint pattern classification error analysis

  • Wicheng Shen
Session T1A: Biometry I
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1351)

Abstract

Fingerprint pattern classifiers are expensive means to reduce the search space of fingerprints identification systems. The more fingers of the search subject are used for pattern classification, the more search space reduction can be achieved. However, the more fingers of the search subject are used for pattern classification, the higher the classification errors will incur. The use of reference class is a practical way of improving the pattern classification accuracy. Its cost is an important factor in deciding whether the solution is cost effective. It is often the case that the number of comparisons made by the matcher is limited by hardware capacity. Hence, the search space size becomes constrained given the response time requirements for an AFIS. Thus, the utilization of reference classes might be limited.

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References

  1. [1]
    Proceedings of the 8-th Biometric Consortium Meeting, June 1996, San Jose, CA.Google Scholar
  2. [2]
    Proceedings of the 9-th Biometric Consortium Meeting, April 1997, Crystal City, VAGoogle Scholar
  3. [3]
    Proceedings of the IEEE, Special Issue on Automated Biometrics, September, 1997.Google Scholar
  4. [4]
    Rohatgi, V. K., An Introduction to Probability Theory and Mathematical Statistics, John Wiley & Sons, 1976, New York, NYGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Wicheng Shen
    • 1
  1. 1.Pacer Infotec Inc.McLean

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