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Proceedings Paper

Fusion-based, high-volume automated fingerprint identification system (AFIS)
Author(s): Stelios C.A. Thomopoulos; James G. Reisman
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Paper Abstract

Automated Fingerprint Identification System (AFIS) provide a means for non-manual fingerprint database searches. Future AFIS applications demand greater fingerprint match request throughput, and for larger fingerprint databases. Barriers to the implementation of a high volume AFIS are analyzed. Data-fusion methods are proposed as a method to maximize integration of fingerprint feature information with limited computational resources. Preliminary results from a prototype AFIS system are presented.

Paper Details

Date Published: 1 February 1994
PDF: 70 pages
Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172536
Show Author Affiliations
Stelios C.A. Thomopoulos, The Pennsylvania State Univ. (United States)
James G. Reisman, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 2093:
Substance Identification Analytics
James L. Flanagan; Richard J. Mammone; Albert E. Brandenstein; Edward Roy Pike; Stelios C. A. Thomopoulos; Marie-Paule Boyer; H. K. Huang; Osman M. Ratib, Editor(s)

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