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FAKE CURRENCY DETECTION USING IMAGE PROCESSING
Author(s) -
Ram Charan,
N Kavya,
Patnala S.R Chandra Murthy Choppara.Bhavana
Publication year - 2022
Publication title -
international journal of computer science and mobile computing
Language(s) - English
Resource type - Journals
ISSN - 2320-088X
DOI - 10.47760/ijcsmc.2022.v11i01.012
Subject(s) - counterfeit , rupee , currency , banknote , value (mathematics) , business , commerce , language change , advertising , computer science , economics , monetary economics , artificial intelligence , political science , art , finance , law , literature , machine learning , exchange rate
The advent of color printing technology has also allowed for counterfeit currency notes to be printed and duplicated on a large scale. This has been beneficial and used by those who want to work on high notes. Due to the existence of counterfeit documents, India is plagued by various problems such as black money and corruption. This has led to a sharp decline in the value of the country's currency. The following article describes an image processing system that can verify the authenticity of notes in Indian rupee.

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