2771-1463ISSN (Online)
2771-1471ISSN (Print)
Volume 7 , Issue 2 , PP: 37-49, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Trupthi P. 1 * , Swarnalatha K. 2 , Prerana T. S. 3 , Sonu M. C. 4
Doi: https://doi.org/10.54216/JCHCI.070204
"Detecting Counterfeit currency with Image Processing" focuses on leveraging image processing techniques to identify counterfeit currency. Currency plays a crucial role in economic transactions, functioning as a means of trade, standard measure of value, and reservoir of wealth. Ensuring the integrity of currency is crucial for maintaining trust in financial systems, preventing economic disruptions, and protecting individuals and businesses from financial losses. The need for currency detection arises in the situation of counterfeit activities, which pose serious threats to the stability of economy. Counterfeit currency can lead to financial fraud, loss of confidence in monetary systems, and can negatively impact businesses and individuals. By employing efficient image processing algorithms, this paper aims to enhance the accuracy and efficiency of counterfeit currency detection, providing a robust tool for financial institutions, businesses, and law enforcement agencies to safeguard against economic threats.
Counterfeit Currency Detection , Image Texture Analysis , Pattern Recognition Algorithms , Logical Regression Algorithm , Currency Integrity Assessment , Fraud Prevention through Image Analysis , Secure Imaging Techniques , Trust Assurance in Currency Systems , Feature Extraction for Currency Verification , Enhancing Economic Security
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