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A Comparative Study of Fingerprint Image-Quality Estimation Methods
University de Madrid, Madrid, Spain.ORCID iD: 0000-0002-1400-346X
Universidad Autonoma de Madrid.
Universidad Autónoma de Madrid.
Universidad Autónoma de Madrid.
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2007 (English)In: IEEE Transactions on Information Forensics and Security, ISSN 1556-6013, E-ISSN 1556-6021, Vol. 2, no 4, 734-743 p.Article in journal (Refereed) Published
Abstract [en]

One of the open issues in fingerprint verification is the lack of robustness against image-quality degradation. Poor-quality images result in spurious and missing features, thus degrading the performance of the overall system. Therefore, it is important for a fingerprint recognition system to estimate the quality and validity of the captured fingerprint images. In this work, we review existing approaches for fingerprint image-quality estimation, including the rationale behind the published measures and visual examples showing their behavior under different quality conditions. We have also tested a selection of fingerprint image-quality estimation algorithms. For the experiments, we employ the BioSec multimodal baseline corpus, which includes 19 200 fingerprint images from 200 individuals acquired in two sessions with three different sensors. The behavior of the selected quality measures is compared, showing high correlation between them in most cases. The effect of low-quality samples in the verification performance is also studied for a widely available minutiae-based fingerprint matching system.

Place, publisher, year, edition, pages
New York: IEEE Press, 2007. Vol. 2, no 4, 734-743 p.
Keyword [en]
Biometrics, fingerprint recognition, minutia, quality assessment
National Category
Engineering and Technology Industrial Biotechnology
Identifiers
URN: urn:nbn:se:hh:diva-2009DOI: 10.1109/TIFS.2007.908228ISI: 000251110500008Scopus ID: 2-s2.0-36348952685Local ID: 2082/2404OAI: oai:DiVA.org:hh-2009DiVA: diva2:239227
Note

©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Available from: 2008-10-06 Created: 2008-10-06 Last updated: 2015-09-29Bibliographically approved

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Alonso-Fernandez, FernandoFronthaler, HartwigKollreider, KlausBigun, Josef
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • vancouver
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Language
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  • Other locale
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Output format
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