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Proceedings Paper

Performance analysis of three-dimensional ridge acquisition from live finger and palm surface scans
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Paper Abstract

Fingerprints are one of the most commonly used and relied-upon biometric technology. But often the captured fingerprint image is far from ideal due to imperfect acquisition techniques that can be slow and cumbersome to use without providing complete fingerprint information. Most of the diffculties arise due to the contact of the fingerprint surface with the sensor platen. To overcome these diffculties we have been developing a noncontact scanning system for acquiring a 3-D scan of a finger with suffciently high resolution which is then converted into a 2-D rolled equivalent image. In this paper, we describe certain quantitative measures evaluating scanner performance. Specifically, we use some image software components developed by the National Institute of Standards and Technology, to derive our performance metrics. Out of the eleven identified metrics, three were found to be most suitable for evaluating scanner performance. A comparison is also made between 2D fingerprint images obtained by the traditional means and the 2D images obtained after unrolling the 3D scans and the quality of the acquired scans is quantified using the metrics.

Paper Details

Date Published: 12 April 2007
PDF: 12 pages
Proc. SPIE 6539, Biometric Technology for Human Identification IV, 653904 (12 April 2007); doi: 10.1117/12.719891
Show Author Affiliations
Abhishika Fatehpuria, Univ. of Kentucky (United States)
Daniel L. Lau, Univ. of Kentucky (United States)
Veeraganesh Yalla, Univ. of Kentucky (United States)
Laurence G. Hassebrook, Univ. of Kentucky (United States)

Published in SPIE Proceedings Vol. 6539:
Biometric Technology for Human Identification IV
Salil Prabhakar; Arun A. Ross, Editor(s)

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