Abstract: Counterfeiting of currency has become a real threat to the livelihood of people as well as the economy of our country. Though fake currency detectors are available, they are restricted to banks and corporate offices leaving common people and small businesses vulnerable. So, in this project, we will investigate the various security features of Indian currency and then, prepare a software-based system to detect and invalidate fake Indian currency by using advanced image processing and computer vision techniques. This currency authentication system is designed completely using Python language in Jupyter Notebook environment.
Keywords: Fake currency, counterfeit detection, image processing, feature extraction, Bruteforce matcher, ORB detector
Cite:
Ms. R Lalitha, Saikrishna Satheesan, Nandana Kevees, Gaurav Prashant Kalgutkar, Humbrekhail Fawaz Ahamed,"Fake Currency Detection Using Image Processing", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133126.
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DOI:
10.17148/IJARCCE.2024.133126
