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Proceedings Paper

Finger image quality based on singular point localization
Author(s): Jinghua Wang; Martin A. Olsen; Christoph Busch
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Paper Abstract

Singular points are important global features of fingerprints and singular point localization is a crucial step in biometric recognition. Moreover the presence and position of the core point in a captured fingerprint sample can reflect whether the finger is placed properly on the sensor. Therefore, the displacement given by detected core points is investigated. We propose pattern-based filters to eliminate the false detection given by state of the art approaches. The experimental results show improvement using different databases. Based on the improved singular point localization algorithm, we explore and analyze the importance of singular points on biometric accuracy. The experiment is based on large scale databases and conducted by relating the measured quality of a fingerprint sample, given by the positions of core points, to the biometric performance. The experimental results show the positions of core points do have influence on the comparison algorithms, but are not as relevant as other benchmarked quality metrics.

Paper Details

Date Published: 29 May 2014
PDF: 14 pages
Proc. SPIE 9075, Biometric and Surveillance Technology for Human and Activity Identification XI, 907503 (29 May 2014); doi: 10.1117/12.2050145
Show Author Affiliations
Jinghua Wang, Technical Univ. of Denmark (Denmark)
Ctr. for Advanced Security Research Darmstadt (Germany)
Martin A. Olsen, Ctr. for Advanced Security Research Darmstadt (Germany)
Norwegian Information Security Lab. (Norway)
Christoph Busch, Norwegian Information Security Lab. (Norway)


Published in SPIE Proceedings Vol. 9075:
Biometric and Surveillance Technology for Human and Activity Identification XI
Ioannis A. Kakadiaris; Walter J. Scheirer; Christoph Busch, Editor(s)

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