Fingerprint Recognition System based on Deep Learning Architecture

• A customized deep learning based fingerprint recognition system has been developed using the multitask deep convolutional neural network architecture to extract the fixed length representation from a high res- olution fingerprint image. • The recognition system calculates the cosine similarity score be- tween the two representations to generate a distribution of genuine and imposter scores.

Name		Name	Last commit message	Last commit date
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.vs		.vs
__pycache__		__pycache__
imgs		imgs
pore_cord_train		pore_cord_train
shuffled/1		shuffled/1
test_imgs		test_imgs
README.md		README.md
deepResNet.py		deepResNet.py
inception.py		inception.py
minutiae.py		minutiae.py
move.py		move.py
porenet.py		porenet.py
stem.py		stem.py
stn-test.py		stn-test.py
stn.py		stn.py
testing.py		testing.py
texture.py		texture.py
training.py		training.py
visualise.py		visualise.py

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Fingerprint Recognition System based on Deep Learning Architecture

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