FAKE CURRENCY DETETCTION USING DEEP LEARNING

Counterfeit money refers to fake or imitation currency that is produced with an idea to deceive. Human eye has also some limitation so some time fake currency not identifiable by them. According to recent reports, demonetization led to all-time high inflow of fake notes into banks, resulting in a spike in suspicious transactions. Counterfeit currencies affect the economy and reduces the value of money. Thus, it is most needed to detect the fake currency. Most of the former methods are based on hardware. Finding counterfeit currencies with these methods is less efficient and time consuming. To overcome the above problem, we have proposed the detection of counterfeit currency using a deep convolution neural network.This book deals with Deep Learning in which a convolution neural network (CNN) model is built with a motive to identify a counterfeit note on handy devices like smart phones, tablets. The model built was trained and tested on a self-generated dataset. Images are acquired using the smart phone camera and fed to the CNN network. So, the proposed approach efficiently identifies the fake currency with less time consumption.