Fake Currency Detection Using Image Processing
DOI:
https://doi.org/10.21467/preprints.388Abstract
Fake currency has always been an issue that has created a lot of problems in the world. Every country has been badly affected by this which has become a major problem. Moreover, it makes the domestic currency lose out its credibility in the global market. Thereby triggering adverse socioeconomic impacts. Counterfeit currency is also usually associated with terror financing. According to an RBI report, fake notes of the new Rs 500 series saw a 37% rise in 2019-20, and there was a fall in circulation of Rs 2000 notes. The increasing technological advancements have made the possibility of creating more counterfeit currency. Fake currency has always been an issue that has created a lot of problems in the world. Every country has been badly affected by this which has become a major problem. Moreover, it makes the domestic currency lose out its credibility in the global market. Thereby triggering adverse socioeconomic impacts. Counterfeit currency is also usually associated with terror financing. According to an RBI report, fake notes of the new Rs 500 series saw a 37% rise in 2019-20, and there was a fall in circulation of Rs 2000 notes. The increasing technological advancements have made the possibility of creating more counterfeit currency.
Keywords:
Red Green Blue, Region of Interest, Fake Indian Currency NoteDownloads
References
“New identifying security features of Indian currency”, International journal on advanced research January 2017 by Moumita Sinha.
“Digital Image Processing using Matlab®”, Rafael C.Gonzalez, Richard E. Woods, Steven E. Eddim .Publisher: McGraw Hill Education India.
C.Saravanan, “Color image to grayscale image conversion”, IEEE Conference March 2010.
“A comprehensive Analysis of Image Edge detection techniques”, Mohd. Aquib Ansari, Diksha Kurchaniya and Manish Dixit, researchgate publication, International Journal of Multimedia, November 2017.
“Paper Currency Recognition System Using Image Processing”, International Journal Of Computational Engineering Research, Vol 3 by R.Mirza and V.Nanda.
“A Novel Method for Counterfeit Banknote detection”, R. Bhavani and A. Karthikeyan, JCSE research paper, March 2014
“An automatic recognition of fake Indian paper currency note using MATLAB”, Binod Prasad Yadav, C.S.Patil, R.R.Karhe, P.H.Patil , IJESIT volume 3, 4 July 2014.
“Fake Currency Detection Using Image Processing”, Vidhi Roy, Gangey Mishra, Rahul Mannadiar, Sushant Patil, IJCSMC, vol 8, Issue 4, April 2019.
“Indian Currency Detection using Image Recognition Technique”, Kalpana Gautam.
“Yemini Paper Currency detection system”, Ghazi Alnowaini, Aisha Alabsi, Heba Ali, 2019 First ICOICE.
“Image Texture Feature Extraction Using GLCD Approach”, P Mohanaiah, P.Sathyanarayana, L GuruKumar , IJSRP volume 3, 5 May 2013.
“Indian Fake Currency Detection Using Computer Vision”, Devid Kumar, Surendra Chouhan. IRJET volume 7, 5 May 2020.
“A Comparative study of Converting Colored Image to Gray Scale Image Using Different Technologies”, Kavita Khobragade , March 2012.
Downloads
Posted
Section
Categories
License
Copyright (c) 2022 Sourabh Kudalkar, Pratik Patil, Niranjan Shirdhone
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Any non-commercial use, distribution, adaptation, and reproduction in any medium is permitted as long as the original work is properly cited. However, caution and responsibility are required when reusing as the articles on the preprint server are not peer-reviewed. Readers are advised to check for the availability of any updated or peer-reviewed version.