The FERET evaluation methodology for face-recognition algorithms

Author

Phillips, P. Jonathon ; Moon, Hyeonjoon ; Rauss, Patrick ; Rizvi, Syed A.

Author_Institution

US Army Res. Lab., Adelphi, MD, USA

fYear

1997

fDate

17-19 Jun 1997

Firstpage

137

Lastpage

143

Abstract

Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. To date, 14,126 images from 1199 individuals are included in the FERET database, which is divided into development and sequestered portions. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to (1) assess the state of the art, (2) identify future areas of research, and (3) measure algorithm performance on large databases

Keywords

face recognition; visual databases; FERET evaluation methodology; Face Recognition Technology; algorithm performance; face-recognition algorithms; facial images database; Computer vision; Data engineering; Face recognition; Image databases; Image recognition; Laboratories; Military computing; Milling machines; Powders; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on

Conference_Location

San Juan

ISSN

1063-6919

Print_ISBN

0-8186-7822-4

Type

conf

DOI

10.1109/CVPR.1997.609311

Filename

609311