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Proceedings Paper

FERET (Face Recognition Technology) program
Author(s): Patrick J. Rauss; Jonathan Phillips; Hyeonjoon Moon; Syed A. Rizvi; Mark K. Hamilton; A. Trent DePersia
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Paper Abstract

The mission of the Department of Defense (DoD) Counter-drug Technology Development Program Office's Face Recognition Technology (FERET) program is to develop automatic face recognition systems from the development of detection and recognition algorithms in the laboratory through their demonstration in a prototype real-time system. To achieve this objective, the program supports research in face recognition algorithms, the collection of a large database of facial images, independent testing and evaluation of face recognition algorithms, construction of a real-time demonstration systems, and the integration of algorithms into the demonstration systems. The FERET program has established baseline performance for face recognition. The Army Research Laboratory (ARL) has been the technical agent for the Advanced Research Projects Agency since 1993, managing development of the recognition algorithms, database collection, and algorithm testing. Currently ARL is managing the development of several prototype face recognition systems that will demonstrate complete real-time video face identification in an access control mission. This paper gives an overview of the FERET program, presents recent performance results of face recognition algorithms evaluated, and addresses the future direction of the program and applications for DoD and law enforcement.

Paper Details

Date Published: 14 February 1997
PDF: 10 pages
Proc. SPIE 2935, Surveillance and Assessment Technologies for Law Enforcement, (14 February 1997); doi: 10.1117/12.266788
Show Author Affiliations
Patrick J. Rauss, US Army Research Lab. (United States)
Jonathan Phillips, US Army Research Lab. (United States)
Hyeonjoon Moon, SUNY/Buffalo (United States)
Syed A. Rizvi, CUNY/Staten Island (United States)
Mark K. Hamilton, US Army Research Lab. (United States)
A. Trent DePersia, National Institute of Justice (United States)

Published in SPIE Proceedings Vol. 2935:
Surveillance and Assessment Technologies for Law Enforcement
A. Trent DePersia; Suzan Yeager; Steve M. Ortiz, Editor(s)

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