Fingerprint pattern classification using Deep Learning

Fingerprint, as a unique feature of each person, can be divided into different types. In this project, we identify real fingerprints pattern and classify them with convolutional neural networks(CNN). The dataset is the original NIST 8-Bit Gray Scale Images of Fingerprint Image Groups(FIGS). It comprises 4000 images that are originally of size 512 x 512. The image size has been reduced to 128 x 128 for computational purposes. Now that we know how our dataset looks like, we can start our project.