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Proceedings Paper

Latent fingerprint system performance modeling
Author(s): Vladimir N. Dvornychenko
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Paper Abstract

This paper presents some analytic tools for modeling and analyzing the performance of latent fingerprint matchers. While the tools and techniques presented are not necessarily new, the manner in which these are employed is believed to be novel. It is shown that using relatively simple techniques, valuable insights are provided into what is otherwise nearly an intractable problem. In addition, three other topics are touched upon: 1) We proved a thumb-nail sketch of NIST's ELFT project. The purpose of the ELFT project is to investigate the steps required to achieve a partial lights-out latent fingerprint processing capability; 2) Preliminary data obtained from this project are analyzed using the proposed techniques; 3) An analysis is provided for predicting the performance of a "fully-populated" system when measurements can realistically only be performed on a small subset of the full-up repository/background/gallery.

Paper Details

Date Published: 1 March 2008
PDF: 11 pages
Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 68120C (1 March 2008); doi: 10.1117/12.766769
Show Author Affiliations
Vladimir N. Dvornychenko, National Institute of Standards and Technology (United States)


Published in SPIE Proceedings Vol. 6812:
Image Processing: Algorithms and Systems VI
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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