Open AccessCurrency Recognition System Using Image Processing
Author(s) -
Krishna Kant Tiwari,
Praveen Dominic
Publication year - 2020
Publication title -
ssrg international journal of computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2348-8387
DOI - 10.14445/23488387/ijcse-v7i6p101
Subject(s) - computer science , image processing , artificial intelligence , currency , computer vision , image (mathematics) , pattern recognition (psychology) , economics , monetary economics
In this paper, we invented a system for currency identification using a technique called image processing. The suggested approach can be used for identifying the nation (country) or origin and the cost or the denomination of a given note as well. We have taken simplest paper currencies into consideration. This system works by first pointing the nation of origin using assured existing region of interest, and then extricating the cost value using attributes like color, text, or size of the currency, based on how much the notes in the same nation varies. We have examined some of the most popular currencies, along with their cost value or denominations. Our system is able to accurately and expeditiously classify sample notes. Keywords— Machine Learning, Currency detection, Feature extraction, Neural Network.