Paper
1 March 2008 Latent fingerprint system performance modeling
Vladimir N. Dvornychenko
Author Affiliations +
Proceedings Volume 6812, Image Processing: Algorithms and Systems VI; 68120C (2008) https://doi.org/10.1117/12.766769
Event: Electronic Imaging, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir N. Dvornychenko "Latent fingerprint system performance modeling", Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 68120C (1 March 2008); https://doi.org/10.1117/12.766769
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Systems modeling

Performance modeling

Data modeling

Autoregressive models

Analytical research

Image processing

Biological research

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