The FERET evaluation methodology for face-recognition algorithms

Author

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

Author_Institution

Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA

Volume

22

Issue

10

fYear

2000

fDate

10/1/2000 12:00:00 AM

Firstpage

1090

Lastpage

1104

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 1,199 individuals are included in the FERET database, which is divided into development and sequestered portions of the database. 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.

Keywords

computer vision; face recognition; FERET evaluation methodology; Face Recognition Technology program; algorithm performance; face-recognition algorithms; large database; Area measurement; Face recognition; Image databases; System testing;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.879790

Filename

879790