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Proxy Notes Recognition and Eradication for Betterment of the Society

G. Hariharan1 , D. Elangovan2

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-4 , Page no. 25-27, Apr-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i4.2527

Online published on Apr 30, 2020

Copyright © G. Hariharan, D. Elangovan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: G. Hariharan, D. Elangovan, “Proxy Notes Recognition and Eradication for Betterment of the Society,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.4, pp.25-27, 2020.

MLA Style Citation: G. Hariharan, D. Elangovan "Proxy Notes Recognition and Eradication for Betterment of the Society." International Journal of Computer Sciences and Engineering 8.4 (2020): 25-27.

APA Style Citation: G. Hariharan, D. Elangovan, (2020). Proxy Notes Recognition and Eradication for Betterment of the Society. International Journal of Computer Sciences and Engineering, 8(4), 25-27.

BibTex Style Citation:
@article{Hariharan_2020,
author = {G. Hariharan, D. Elangovan},
title = {Proxy Notes Recognition and Eradication for Betterment of the Society},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2020},
volume = {8},
Issue = {4},
month = {4},
year = {2020},
issn = {2347-2693},
pages = {25-27},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5069},
doi = {https://doi.org/10.26438/ijcse/v8i4.2527}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i4.2527}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5069
TI - Proxy Notes Recognition and Eradication for Betterment of the Society
T2 - International Journal of Computer Sciences and Engineering
AU - G. Hariharan, D. Elangovan
PY - 2020
DA - 2020/04/30
PB - IJCSE, Indore, INDIA
SP - 25-27
IS - 4
VL - 8
SN - 2347-2693
ER -

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Abstract

The economy of the country can be calculated based on the circulation of the currency in it. Faux notes circulation is one of the major problems of the various countries .Due to the circulation of the faux note the economy of the countries will be affected drastically. So in order to remove the counterfeit notes from the circulation various methods have been proposed. But there are some drawbacks in the proposed methods. In order to increase the rate of accuracy to determine the faux note the proposed system uses the machine learning with the help of MatLab to increase the rate of accuracy to determine the faux note in the circulation

Key-Words / Index Term

Faux , Counterfeit, MatLab, Machine Learning, Circulation

References

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