Fingerprints Identification using a Fuzzy Logic System

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.

Nonlinearities on particular elliptic curves subspaces and applications

“…These implementation was used on case determinations for medical application, in [15,18], that was implemented in a particular subspaces (that was based on the [1,2,3,9]) defined as in [23]. The security level of the solution was based with respect for the [22,19,16].…”

A Mamdani Type Fuzzy Logic Controller

“…An extension of the Mamdani model in order to work with interval inputs is presented in (Liu et al, 2005) , where the fuzzy sets are represented by triangular fuzzy numbers and the firing level of the conclusion is computed as the product of firing levels from the antecedent. Other extensions and applications of the standard FLC systems were proposed in (Iancu, 2009a;b;Iancu, Colhon & Dupac, 2010;Iancu, Constantinescu & Colhon, 2010;Iancu & Popirlan, 2010).…”

Minutiae Fusion Based Framework for Thumbprint Identification of Identical Twins

“…Iancu introduced a fuzzy logic based technique for fingerprint identification. In this technique Iancu co mpared t wo matching sets and selected the optimal fro m these using a fuzzy reasoning system [10]. Bennet proposed a fuzzy set measurement method for fingerprint recognition.…”