determining currency denomination and detecting where its counterfeit or not using ML
cd app
python main.py
To identify the denomination of a note using Machine Learning based on an image. To design the present currency template in ATM’s it requires 6-9 months. This is an attempt is to use Machine Learning(ML) to reduce this time.
CNNs are known to work better with Images as it works on a window(group of pixels) Used LeNET architecture which uses CNN and is simple to train on a CPU. This model will classify the image given into one of the class. MLP(Multi-layer Perceptron) converts input into 1-D array, which causes loss of spatial correlation between the pixels counterfeit detection using auto-encoder technique
