Towards Improving the NIST Fingerprint Image Quality (NFIQ) Algorithm (Extended Version)
Cryptography and Security
2010-08-20 v2
Abstract
The NIST Fingerprint Image Quality (NFIQ) algorithm has become a standard method to assess fingerprint image quality. However, in many applications a more accurate and reliable assessment is desirable. In this publication, we report on our efforts to optimize the NFIQ algorithm by a re-training of the underlying neural network based on a large fingerprint image database. Although we only achieved a marginal improvement, our work has revealed several areas for potential optimization.
Cite
@article{arxiv.1008.0781,
title = {Towards Improving the NIST Fingerprint Image Quality (NFIQ) Algorithm (Extended Version)},
author = {Johannes Merkle and Michael Schwaiger and Oliver Bausinger and Marco Breitenstein and Kristina Elwart and Markus Nuppeney},
journal= {arXiv preprint arXiv:1008.0781},
year = {2010}
}
Comments
The present article is an extended version of the paper published at the BIOSIG conference (copyright by Gesellschaft f\"ur Informatik)