sarvesh1814 / banknote-authenticator

Banknote-Authenticator

In this project, with the help of machine learning we will distinguish between the authentic and non-authentic notes using the data which is obtained from the images which are obtained during inspection.

About the Dataset

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.