Fake Currency Detection using Image Processing

Advancements in color printing have led to a rise in the number of counterfeit currency notes being created and duplicated on a massive scale. In the past, it was very difficult to do this, but now anyone with a laser printer can easily do it. Due to the rise of fake notes, the number of counterfeit currency notes has increased significantly in India. This is a major issue that the country is facing due to its various problems such as black money and corruption. A system that can detect the fake currency notes in a fraction of the time is being developed. The proposed system will use image processing techniques to verify the authenticity of Indian currency notes. This method will involve extracting various features from the notes. Some of these include the Bleed Line, Water marking, Fluorescence, Security thread, Micro Lettering, and Identification mark. The proposed system is using software known as MATLAB. The Support vector machine is a supervised learning model that is used for extracting the notes' features. It is also used for analyzing data related to regression and classification. We have also tested the other methods related to this proposed work, such as the graphical black Box algorithm. The proposed system has various advantages, such as its high-performance speed and simplicity. It will be able to determine if the currency notes are real or fake. Its accuracy is also measured using the Confusion Matrix.