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Proceedings Paper

Optical processor for fingerprint identification
Author(s): James P. Karins; Stuart A. Mills; Robert Barry Dydyk
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Paper Abstract

Automatic fingerprint classification, automatic fingerprint identification, and latent or partial fingerprint matching each continue to present significant computational challenges despite the rapid improvements in the speed of digital computers. The new emerging technology of optical processing promises to alleviate this computational roadblock and bring fingerprint classification and identification to the everyday user. Several areas of research utilizing optical processors for fingerprints are currently being conducted. In this paper we will discuss the se of optical correlation for whole and partial fingerprint matching with known fingerprints from a preselected set of candidates. Initial optical correlator simulations and breadboard tests indicate that the hybrid processor provides significant capability increases in speed and throughput over a pure digital system. Results showing good correlation of matches and good discrimination from non-matches are presented. Additionally, correlation of partial prints is demonstrated with a strong degree of discrimination.

Paper Details

Date Published: 7 February 1997
PDF: 8 pages
Proc. SPIE 2940, National and International Law Enforcement Databases, (7 February 1997); doi: 10.1117/12.266283
Show Author Affiliations
James P. Karins, Litton Data Systems (United States)
Stuart A. Mills, Litton Data Systems (United States)
Robert Barry Dydyk, Litton Data Systems (United States)

Published in SPIE Proceedings Vol. 2940:
National and International Law Enforcement Databases
George Works, Editor(s)

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