Towards Improving the NIST Fingerprint Image Quality (NFIQ) Algorithm.
Johannes Merkle, Michael Schwaiger, Marco Breitenstein · Biometrics and Electronic Signatures · 2010
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 retraining 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. This article represents the full version of [Me10], copyright of Gesellschaft fur Informatik (GI).