Fingerprints Identification using a Fuzzy Logic System

Ion Iancu, Nicolae Constantinescu, Mihaela Colhon

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.

Keywords


fuzzy models, fingerprint authentication, cryptographic signature model

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References


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DOI: https://doi.org/10.15837/ijccc.2010.4.2510



Copyright (c) 2017 Ion Iancu, Nicolae Constantinescu, Mihaela Colhon

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INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (IJCCC), With Emphasis on the Integration of Three Technologies (C & C & C),  ISSN 1841-9836.

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