Detecting Counterfeit Currency with Image Processing

Abstract

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.