Document Falsification

A detection model that used a combination of machine learning and computer vision to detect falsified documents. Aiming to detect the most common types of document falsification. Semi-supervised learning was used to train the model.

Used Frameworks: Python, OpenCV, Tensorflow, Keras, Go, Docker