Fast Fingerprint Classification with Deep Neural Networks

Daniel Michelsanti, Andreea-Daniela Ene, Yanis Guichi, Rares Stef, Kamal Nasrollahi, Thomas B. Moeslund

2017

Abstract

Reducing the number of comparisons in automated fingerprint identification systems is essential when dealing with a large database. Fingerprint classification allows to achieve this goal by dividing fingerprints into several categories, but it presents still some challenges due to the large intra-class variations and the small inter-class variations. The vast majority of the previous methods uses global characteristics, in particular the orientation image, as features of a classifier. This makes the feature extraction stage highly dependent on preprocessing techniques and usually computationally expensive. In this work we evaluate the performance of two pre-trained convolutional neural networks fine-tuned on the NIST SD4 benchmark database. The obtained results show that this approach is comparable with other results in the literature, with the advantage of a fast feature extraction stage.

Paper Citation

in Harvard Style

Michelsanti D., Ene A., Guichi Y., Stef R., Nasrollahi K. and Moeslund T. (2017). Fast Fingerprint Classification with Deep Neural Networks . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-226-4, pages 202-209. DOI: 10.5220/0006116502020209

in Bibtex Style

@conference{visapp17,
author={Daniel Michelsanti and Andreea-Daniela Ene and Yanis Guichi and Rares Stef and Kamal Nasrollahi and Thomas B. Moeslund},
title={Fast Fingerprint Classification with Deep Neural Networks},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={202-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006116502020209},
isbn={978-989-758-226-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017)
TI - Fast Fingerprint Classification with Deep Neural Networks
SN - 978-989-758-226-4
AU - Michelsanti D.
AU - Ene A.
AU - Guichi Y.
AU - Stef R.
AU - Nasrollahi K.
AU - Moeslund T.
PY - 2017
SP - 202
EP - 209
DO - 10.5220/0006116502020209