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Journal of Electronic Imaging

Performance of fingerprint quality measures depending on sensor technology
Author(s): Fernando Alonso-Fernandez; Fabio Roli; Gian Luca Marcialis; Julian Fierrez; Javier Ortega-Garcia; Joaquin Gonzalez-Rodriguez
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Paper Abstract

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.

Paper Details

Date Published: 1 January 2008
PDF: 11 pages
J. Electron. Imag. 17(1) 011008 doi: 10.1117/1.2895876
Published in: Journal of Electronic Imaging Volume 17, Issue 1
Show Author Affiliations
Fernando Alonso-Fernandez, Univ. Autónoma de Madrid (Spain)
Fabio Roli, Univ. degli Studi di Cagliari (Italy)
Gian Luca Marcialis, Univ. degli Studi di Cagliari (Italy)
Julian Fierrez, Univ. Autónoma de Madrid (Spain)
Javier Ortega-Garcia, Univ. Autónoma de Madrid (Spain)
Joaquin Gonzalez-Rodriguez, Univ. Autónoma de Madrid (Spain)

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