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arXiv · 1008.0781

Towards Improving the NIST Fingerprint Image Quality (NFIQ) Algorithm (Extended Version)

Johannes Merkle·Michael Schwaiger·Oliver Bausinger·Marco Breitenstein·Kristina Elwart·Markus Nuppeney
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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.

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Johannes Merkle, Michael Schwaiger, Oliver Bausinger, Marco Breitenstein, Kristina Elwart, Markus Nuppeney. 2010-08-19. Towards Improving the NIST Fingerprint Image Quality (NFIQ) Algorithm (Extended Version). https://arxiv.org/abs/1008.0781

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