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A Fuzzy Logic Framework for Evaluating the Security Features of Banknotes

by Nagy Ramadan Darwish, Ashraf M. EL Nour
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 51
Year of Publication: 2018
Authors: Nagy Ramadan Darwish, Ashraf M. EL Nour
10.5120/ijca2018917338

Nagy Ramadan Darwish, Ashraf M. EL Nour . A Fuzzy Logic Framework for Evaluating the Security Features of Banknotes. International Journal of Computer Applications. 179, 51 ( Jun 2018), 39-47. DOI=10.5120/ijca2018917338

@article{ 10.5120/ijca2018917338,
author = { Nagy Ramadan Darwish, Ashraf M. EL Nour },
title = { A Fuzzy Logic Framework for Evaluating the Security Features of Banknotes },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2018 },
volume = { 179 },
number = { 51 },
month = { Jun },
year = { 2018 },
issn = { 0975-8887 },
pages = { 39-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number51/29527-2018917338/ },
doi = { 10.5120/ijca2018917338 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:58:59.129033+05:30
%A Nagy Ramadan Darwish
%A Ashraf M. EL Nour
%T A Fuzzy Logic Framework for Evaluating the Security Features of Banknotes
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 51
%P 39-47
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Watermark, security thread, hologram and Intaglio printing are important features for securing banknotes can be realized by the user senses. The goal of these features is to provide sufficient quality features that can help the public to determine whether or not their banknote is genuine. Recently, due to the development in computer software, laser printers and scanners, counterfeiting has become a vital issue. This research aims to generate evaluation security features, for banknotes model in order to enhance the quality. A Quantitative approach for evaluation the quality of security features banknotes, where the data gathered via a questionnaire using the five-point Likert scale that uses the values: poor, fair, good, very good, and excellent. The proposed framework depends on the utilization of fuzzy logic for classification banknotes genuine or counterfeit. However, fuzzy logic provides useful techniques for dealing with decisions in such environments which contain imprecise and vague values.

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Index Terms

Computer Science
Information Sciences

Keywords

Banknotes Security Features Counterfeiting Likert Scale Fuzzy Logic Software Development.

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