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Reseach Article

Image based Coin Recognition System - A Survey

by Aby Sasi, Sreekumar K.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 11
Year of Publication: 2015
Authors: Aby Sasi, Sreekumar K.
10.5120/ijca2015907458

Aby Sasi, Sreekumar K. . Image based Coin Recognition System - A Survey. International Journal of Computer Applications. 131, 11 ( December 2015), 19-22. DOI=10.5120/ijca2015907458

@article{ 10.5120/ijca2015907458,
author = { Aby Sasi, Sreekumar K. },
title = { Image based Coin Recognition System - A Survey },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 11 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number11/23493-2015907458/ },
doi = { 10.5120/ijca2015907458 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:02.411535+05:30
%A Aby Sasi
%A Sreekumar K.
%T Image based Coin Recognition System - A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 11
%P 19-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Coins have very much importance in human’s day to day life, which are used in everyone’s daily routine like banks, super markets, vending machines etc: So, there is a basic need to automate the counting and sorting of coins. Coin recognition applications play an important role in industry and computer vision. The main objective of this system is to classify high volumes of coins with high accuracy and to recognize the coins of different denominations and count the total value of the coins. Many approaches developed for the coin detection and calculate its corresponding values. For this several approaches are compared here to improve the performance of the system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Analysis Coin Recognition Feature Matching Rotation Invariant Gradient Magnitude RFR Local Binary Pattern Segmentation Detection