Abstract
The quantity of fake money notes being produced and replicated on a global scale has increased considerably as colour printing technology has advanced. Producing used to be defined to print stores, but now anyone with a affordable price laser printer can produce a specie paper with pin point accuracy. As a result, bogus notes are constantly being usedin place of legal users.. woefully, nation have been troubled for damages as illegal and dark specie. Money notes that are counterfeit are likewise a major problem. Leads to the improvement of a technology which can detect bogus currency papermore quickly and efficiently. XGBOOST structure is a way to authenticating nations banknotes. Tocheck monetary notes, image processing concepts are applied. The properties of Indian currency notes are extracted in this article. The attributes of the paper are removed using MATLAB software. The suggested system's advantages include ease of use and high performance speed.. The voice will be presented in regional languages, and the outcome will indicate whether the money note is real or not.. It requires phases as grayscale reformation, edge detection, segmentation, and so on, carried out using suitable techniques.
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