Furthering Fingerprint-Based Authentication: Introducing the True-Neighbor Template
Abstract
This paper introduces the True-Neighbor Template (TNT), a novel, minutiae-only, fingerprint representation and matching approach for authentication. The TNT representation approach overcomes consistency-limitations affecting many existing approaches that stem from relative distortion and spurious minutiae. The TNT matching approach maximizes exploitation of captured fingerprint complexity. A standard benchmark experiment, using the FVC protocol and FVC2006 and FVC2002 databases, is used for evaluation. TNT demonstrates generally-superior neighbor-selection-consistency regarding several established approaches, including: fixed radius, k-nearest neighbors, fixed sectors, and Voronoi diagram. TNT demonstrates generally-superior authentication performance regarding several well-known approaches, including: Bozorth, K-plet, and Minutia Cylinder-Code (MCC).
Cite
Text
Alsaadi and Boult. "Furthering Fingerprint-Based Authentication: Introducing the True-Neighbor Template." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016. doi:10.1109/WACV.2016.7477674Markdown
[Alsaadi and Boult. "Furthering Fingerprint-Based Authentication: Introducing the True-Neighbor Template." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016.](https://mlanthology.org/wacv/2016/alsaadi2016wacv-furthering/) doi:10.1109/WACV.2016.7477674BibTeX
@inproceedings{alsaadi2016wacv-furthering,
title = {{Furthering Fingerprint-Based Authentication: Introducing the True-Neighbor Template}},
author = {Alsaadi, Fawaz E. and Boult, Terrance E.},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2016},
pages = {1-7},
doi = {10.1109/WACV.2016.7477674},
url = {https://mlanthology.org/wacv/2016/alsaadi2016wacv-furthering/}
}