Towards improving the NIST fingerprint image quality (NFIQ) algorithm
| dc.contributor.author | Merkle, Johannes | |
| dc.contributor.author | Schwaiger, Michael | |
| dc.contributor.author | Breitenstein, Marco | |
| dc.contributor.author | Bausinger, Oliver | |
| dc.contributor.author | Elwart, Kristina | |
| dc.contributor.author | Nuppeney, Markus | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2019-01-17T10:33:04Z | |
| dc.date.available | 2019-01-17T10:33:04Z | |
| dc.date.issued | 2010 | |
| dc.description.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. | en |
| dc.identifier.isbn | 978-3-88579-258-1 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/19566 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-164 | |
| dc.title | Towards improving the NIST fingerprint image quality (NFIQ) algorithm | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 44 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 29 | |
| gi.conference.date | 09.-10. September 2010 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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