Automated Detection of Counterfeit Indian Currency Notes through Image Processing Analysis

ELECTONICS AND COMMUNICATION ENGINEERING

The prevalence of counterfeit currency notes is on the rise, necessitating advanced detection methods. One approach involves counting interruptions in the thread line, where the absence of interruptions indicates a genuine note, while any interruptions suggest a fake one. Additionally, the system assesses the entropy of currency notes to enhance the efficiency of fake note detection. The advent of sophisticated colour printing technology has exacerbated the problem, enabling widespread replication of notes. Unlike the past when printing was confined to specialized facilities, the current ease of printing, even with a basic laser printer, has led to a significant surge in fake notes. To address this challenge, the proposed system utilizes image processing concepts for Indian currency note verification. Various features of the currency notes are extracted using MATLAB software, ensuring simplicity and high-speed performance. The system's outcome serves to predict whether a currency note is genuine or counterfeit.

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