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

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

2010-08-04

arxiv.org/abs/1008.0781v2

Computer Science

Cryptography and Security

The present article is an extended version of the paper published at the BIOSIG conference (copyright by Gesellschaft f\"ur In

Scientific paper

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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