The FERET verification testing protocol for face recognition algorithms
- 1 January 1998
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Two critical performance characterizations of biometric algorithms, including face recognition, are identification and verification. Identification performance of face recognition algorithms on the FERET tests has been previously reported. We report on verification performance obtained from the Sept96 FERET test. The databases used to develop and test algorithms are usually smaller than the databases that will be encountered in applications. We examine the effects of size of the database on performance for both identification and verification.Keywords
This publication has 9 references indexed in Scilit:
- Discriminant analysis of principal components for face recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The FERET evaluation methodology for face-recognition algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The FERET database and evaluation procedure for face-recognition algorithmsImage and Vision Computing, 1998
- Probabilistic visual learning for object representationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Face recognition by elastic bunch graph matchingIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Bayesian face recognition using deformable intensity surfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Using discriminant eigenfeatures for image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- An Introduction to the BootstrapPublished by Springer Nature ,1993
- Eigenfaces for RecognitionJournal of Cognitive Neuroscience, 1991