Fingerprints Identification using a Fuzzy Logic System

Authors

  • Ion Iancu Department of Informatics University of Craiova, Al.I. Cuza Street, No. 13, Craiova RO-200585, Romania
  • Nicolae Constantinescu Department of Informatics University of Craiova, Al.I. Cuza Street, No. 13, Craiova RO-200585, Romania
  • Mihaela Colhon Ion Iancu, Nicolae Constantinescu, Department of Informatics University of Craiova, Al.I. Cuza Street, No. 13, Craiova RO-200585, Romania

Keywords:

fuzzy models, fingerprint authentication, cryptographic signature model

Abstract

This paper presents an optimized method to reduce the points number to be used in order to identify a person using fuzzy fingerprints. Two fingerprints are similar if n out of N points from the skin are identical. We discuss the criteria used for choosing these points. We also describe the properties of fuzzy logic and the classical methods applied on fingerprints. Our method compares two matching sets and selects the optimal set from these, using a fuzzy reasoning system. The advantage of our method with respect to the classical existing methods consists in a smaller number of calculations.

References

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Published

2010-11-01

Issue

Vol. 5 No. 4 (2010): International Journal of Computers Communications & Control (October)

Section

Articles

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