Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 5 Issue 8
Image Processing Approach for INR Currency Note Number Recognition System for Automated Teller Machines
Rashmi C Dr. Hemantha Kumar G
10.7753/IJCATR0508.1008
keywords : Character recognition, Currency note number, Image Processing, Fake Currency, ATM.
In this paper an algorithm is proposed for real time application to an existing automated teller machine (ATM) using image processing in currency note number recognition. Sometimes getting fake currency notes from ATM nowadays has become a major issue leading to an ultimate loss to common people. Common people are afraid to complain regarding this to respective banks and live in hope that may recover their money from respective banks. An algorithm is developed for automatically noting and saving the currency note number to server at the time of withdrawal, so that customers are benefitted in recovering their currency back. The proposed algorithm makes the ATMs more reliable, user friendly and efficient usage to the customers.
@artical{r582016ijcatr05081008,
Title = "Image Processing Approach for INR Currency Note Number Recognition System for Automated Teller Machines",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="8",
Pages ="539 - 542",
Year = "2016",
Authors ="Rashmi C
Dr. Hemantha Kumar G"}
This paper proposes an approach for existing ATMs to make reliable & user friendly to customers
Mainly focuses on noting currency note numbers to an existing ATM.
Image processing methodology is used to perform operation.
Currency number is displayed and printed at the customer.