A testing methodology for face recognition algorithms

Authors:
Aristodemos Pnevmatikakis;Lazaros Polymenakos
Affiliations:
Athens Information Technology, Autonomic and Grid Computing, Peania, Greece;Athens Information Technology, Autonomic and Grid Computing, Peania, Greece
Venue:
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Year:
2005

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Abstract

Many face recognition methods have been reported in the literature. Also many face databases and face recognition methodologies are available to test them. Unfortunately most authors test their methods using restricted databases, or random subsets of them. This does not facilitate the comparison of the methods. In this paper we propose an evaluation methodology that utilizes three publicly available databases and an evaluation protocol that offers numerous splits of the images between training and testing images. We also evaluate many different face recognition methods using our methodology, offering a comparison between them.