The FERET evaluation methodology for face-recognition algorithms

被引：3215

作者：

Phillips, PJ

Moon, H

Rizvi, SA

Rauss, PJ

机构：

[1] Natl Inst Stand & Technol, Gaithersburg, MD 20899 USA

[2] Lau Technol, Littleton, MA 01460 USA

[3] CUNY Coll Staten Isl, Dept Engn Sci & Phys, Staten Isl, NY 10314 USA

[4] USA, Res Lab, Adelphi, MD 20783 USA

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2000年 / 22卷 / 10期

关键词：

face recognition; algorithm evaluation; FERET database;

D O I：

10.1109/34.879790

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 slate of the art, 2) identify future areas of research, and 3) measure algorithm performance.

引用

页码：1090 / 1104

页数：15

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