The FERET evaluation methodology for face-recognition algorithms

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...

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Bibliographic Details
Published inProceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 137 - 143
Main Authors Phillips, P.J., Hyeonjoon Moon, Rauss, P., Rizvi, S.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Computer vision
Data engineering
Face recognition
Image databases
Image recognition
Laboratories
Military computing
Milling machines
Powders
Testing
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ISBN9780818678226
0818678224
ISSN1063-6919
1063-6919
DOI10.1109/CVPR.1997.609311

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Summary: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.
ISBN:9780818678226
0818678224
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.1997.609311