Open Access Open Access  Restricted Access Subscription Access

Fake Currency Detection using Machine Learning Algorithm

Mohammed Hafeez M. K, M. Sharmila Kumari, Muhammed Sahil, Abdul Khadar Sawad, Ibarhim Bathisha D, Mr Ankush

Abstract


A huge deal of counterfeit currency has been printed recently, which has hurt society greatly. Therefore, the creation of a method to identify fraudulent currency has become essential. By using their image, our proposed system will employ a method to identify counterfeit cash notes traded in our nation. Our work will offer the necessary adaptability and compatibility for the majority of individuals, as well as dependable accuracy for the detection of counterfeit currencies. To make this application effective, we are employing the logistic regression algorithm. Using a machine learning algorithm, this work will identify several significant properties in notes that will establish the currency note's uniqueness. This application makes it simple to spot fraudulent notes and reduces their availability on the market.


Full Text:

PDF

References


D. Kumar and S. Chauhan, "Indian fake Currency Detection using computer vision", International Research Journal of Engineering and Technology, vol. 7, no. 5, pp. 2870-2874, 2020.

Ankush Singh, Prof. Ketaki Bhoyar, Ankur Pandey, Prashant Mankani, Aman Tekriwal Detection of fake currency using image processing-International Journal of Engineering Research & Technology (IJERT), Vol. 8 Issue 12, December-2019.

S. Arya and M. Sasiku mar, "Fake Currency Detection," 2019 Int. Conf. Recent Adv. Energy-Efficient Comput. Commun. ICRAECC 2019, PP. 2019-2022, 10.1109/ICRAECC43874.2019.8994968. 2019, doi:

M. N. Rathore and J. Sagar, "A Review on Fake currency detection using feature extraction," vol. 10, no. 11, pp. 407–411, 2019.

M. N. Shende and P. P. Patil, “A Review on Fake Currency Detection using Image Processing," Int. J. Futur. Revolut. Comput. Sci. Commun. Eng., vol. 4, no. 1, pp. 391–393, 2018.

A. Upadhyaya, V. Shokeen, and G. Srivastava, “Analysis of counterfeit currency detection techniques for classification mode 1," 2018 4th Int. Conf. Comput. Commun. Autom. ICCCA 2018, pp. 1-6, 2018, doi: 10.1109/CCAA.2018.8777704.

M. A. Gaikwad, V. V Bhosle, and V. D. Patil, "Automatic Indian New Fake Currency Detection Technique," Int. J. Eng. Res. Technol., vol. 6, no. 11, pp. 84-87, 2017.

P. Ponishjino, K. Antony, S. Kumar, and S. Jebakumar, “Bogus currency authorization using HSV techniques," Proc. Int. Conf. Electron. Commun. Aerosp. Technol. ICECA 2017, vol. 2017- January, pp. 179-183, 2017, doi:10.1109/ICECA.2017.8203667.

Goodfellow I, Bengio Y, Courville A, Bengio Y. 2016. Deep

Learning, volume 1. Cambridge: MIT Press.

D. Alekhya, G. DeviSuryaPrabha and G. Venkata Durga Rao, Fake Currency Detection Using Image Processing and Other Standard Methods, International Journal of Research in Computer and Communication Technology, Vol 3, Issue 1, January-2014

PM.Deborah. P, C.Soniya Prathap- Detection of fake currency using image processing-International Journal of Innovative Science, Engineering & Technology (IJERT), Vol. 1 Issue 10, December-2014.

Rubeena mirza and veenti nanda, Design and Implementation of Indian Paper Currency Authentication System Based on Feature Extraction by Edge Based Segmentation Using Sobel Operator, IJERD, Volume 3, Issue 2 (August 2012), PP. 41-46.


Refbacks

  • There are currently no refbacks.