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Performance of Fingerprint Quality Measures Depending on Sensor Technology
Univ Autonoma Madrid, Escuela Politecn Super, Biometr Recognit Grp ATVS, E-28049 Madrid, Spain. (ATVS/Biometric Recognition Group)ORCID iD: 0000-0002-1400-346X
University of Cagliari, Department of Electrical and Electronic Engineering, Piazza d'Armi, 09123 Cagliari, Italy.
University of Cagliari, Department of Electrical and Electronic Engineering, Piazza d'Armi, 09123 Cagliari, Italy.
Univ Autonoma Madrid, Escuela Politecn Super, Biometr Recognit Grp ATVS, E-28049 Madrid, Spain.
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2008 (English)In: Journal of Electronic Imaging (JEI), ISSN 1017-9909, Vol. 17, no 1Article in journal (Refereed) Published
Abstract [en]

Although many image quality measures have been proposed for fingerprints, few works have taken into account how differences among capture devices impact the image quality. Several representative measures for assessing the quality of fingerprint images are compared using an optical and a capacitive sensor. We implement and test a representative set of measures that rely on different fingerprint image features for quality assessment. The capability to discriminate between images of different quality and the relationship with the verification performance are studied. For our verification experiments, we use minutiae- and ridge-based matchers, which are the most common approaches for fingerprint recognition. We report differences depending on the sensor, and interesting relationships between sensor technology and features used for quality assessment are also pointed out. © 2008 SPIE and IS&T.

Place, publisher, year, edition, pages
Bellingham, WA: SPIE - International Society for Optical Engineering, 2008. Vol. 17, no 1
Keyword [en]
Capacitive sensor, Fingerprint images, Fingerprint Recognition, Image quality measure, Quality assessment, Quality measures, Sensor technologies
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-21234DOI: 10.1117/1.2895876ISI: 000255519500009Scopus ID: 2-s2.0-67649645197OAI: oai:DiVA.org:hh-21234DiVA: diva2:589358
Available from: 2013-02-05 Created: 2013-01-17 Last updated: 2015-09-29Bibliographically approved

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Alonso-Fernandez, Fernando
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf