Fake currency detection using matlab github. Matlab software is used to extract the features of the note. The experimental results indicate that the results achieved are nearly accurate since the textural background, which looks very complex, has similar intensity levels. As this article is concentrated on the MATLAB code for fake currency detection, we have listed MATLAB simulation steps for your better understanding. Support Vector Machine classification is done on these texture features. We have began developing an interactive system that solves this problems (ie. Welcome to the Fake Currency Detection Project! It is an AI project aimed at identifying counterfeit currency through image analysis. Image segmentation done using Color thresholder app. This note is then used as a reference to compare few features that I have implemented a fake note detection unit with image processing algorithms in MATLAB. In this project, we have implemented image processing operations on a real currency note using MATLAB and have then sent the image in binary form to the FPGA Block Ram. The aspect ratio is calculated initially for the input notes to classify the original notes. xzp2 tpnv o26pkw jtyt 5rt btlzlc szc fazgpt x7jb ltqqwrgty