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The FERET Evaluation Methodology for Face-Recognition Algorithms

Published

Author(s)

P J. Phillips, H Moon, S A. Rizvi, P J. Rauss

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 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.
Citation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume
22
Issue
No. 10

Keywords

algorithm, biometric, evaluation, face recognition, FERET

Citation

Phillips, P. , Moon, H. , Rizvi, S. and Rauss, P. (2000), The FERET Evaluation Methodology for Face-Recognition Algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence (Accessed April 17, 2024)
Created October 1, 2000, Updated February 17, 2017