Identification of Currency via Image Recognition

The primary objective of this report is to identify currency with such a centralized system that is compact, and also which is highly portable. In this review, the characteristics of the idealized currency will be processed and analyzed in mat files, and so these stored features will be matched to the sample currency. Perceive whether something is real or false. With this structure, it's easy to illustrate this concept everywhere, at any moment. We have used the MATLAB toolbox for data recognition the rendering of the image is a way to enhance the image's pictorial details for the sake of computer or hardware vision. Currency recognition has significant problems, such as steganographic recognition, currency note resolution, dirty notes, etc. This approach is working. First, to classify the nationality to use certain predefined rules. Areas of significance, and then derive the denomination value. Using features such as scale, color, or script on a note, based on how distinctive the notes are in the same region. We listed 20 of the most traded currencies, as well as their denomination.