Fingerprints Identification using a Fuzzy Logic System | Zendy

Ion Iancu | Zendy; Nicolae Constantinescu | Zendy; Mihaela Colhon | Zendy

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Fingerprints Identification using a Fuzzy Logic System

Author(s) -

Ion Iancu,

Nicolae Constantinescu,

Mihaela Colhon

Publication year - 2010

Publication title -

international journal of computers communications and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.422

H-Index - 33

eISSN - 1841-9844

pISSN - 1841-9836

DOI - 10.15837/ijccc.2010.4.2510

Subject(s) - fuzzy logic , computer science , matching (statistics) , set (abstract data type) , identification (biology) , biometrics , fuzzy set , artificial intelligence , fuzzy number , fuzzy set operations , data mining , pattern recognition (psychology) , mathematics , algorithm , statistics , botany , biology , programming language

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.

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