False Currency Detection using Image Processing
Gulam Gaus Khan · International Journal for Research in Applied Science and Engineering Technology · 2021
This project addresses the necessity and remote implementation of a false currency detection system using minimal resources. Considering the current times we live in-the global pandemic-the False Currency Detection system is designed in a way that social distancing is maintained between the team members and work is done remotely by using MATLAB Online which doesn't require any heavy download or installation for it to work. The process begins with first feeding the system with any one of the new Indian paper currencies from the given database or by clicking a photo of the note itself and uploading it on to the MATLAB Drive Online. Once the note is selected, the algorithm detects, and extracts features of the note by implementing grayscale conversion and edge detection techniques before presenting the output of whether the selected note is fake or not.