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Cited by 590

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The FERET evaluation methodology for face-recognition algorithms

Phillips, P.J., Hyeonjoon Moon, Rauss, P., Rizvi, S.A.·2002·Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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.

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Metadata

Authors
Phillips, P. J., Moon, H., Rauss, P., & Rizvi, S. A.
Venue
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Published
2002-11-22
Pages
137-143
ISSN
1063-6919 (ISSN-L)
OpenAlex
W2118774738
Cited by
590
References
1
FWCI
19.91
Type
conference paper
Language
en
Open access
closed

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