E. Hjelmås1
Department of Informatics
University of Oslo
P.O. Box 1080 Blindern
N-0316 Oslo, Norway
email: erikh@hig.no
J. Wroldsen2
Department of Electrical Engineering and Science
Gjøvik College
P.O. Box 191
N-2800 Gjøvik, Norway
email: wroldsen@hig.no
The eyes are one of the most important facial features for recognizing human faces. Many face recognition systems today make use of local features (such as eyes) for identification or verification of individuals, but no system to our knowledge has studied performance when the only available information is the eyes. In this paper we show that we can obtain 85% correct classification on the popular ORL face database, when the features are extracted from the eye area only. We compare feature extraction from eigenfeatures and Gabor wavelets with features consisting of simple gray-level pixel values.