Use machine learning to determine fake vs real bank notes.
Project Description: The project uses "banknote authentication Data Set" provided by UCI to train a sample machine learning model and determines fake and real bank notes.
Dataset Information:
Link to Dataset: https://archive.ics.uci.edu/ml/datasets/banknote+authentication
Data Set Information:(Form the website)
Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. Wavelet Transform tool were used to extract features from images.