We present a comparison of two feature
selection methods for face recognition: Linear
Discriminant Analysis (LDA) and Principal Component
Analysis (PCA). We assume that the classifier is a neural
system called Concurrent Self-Organizing Map
(CSOM). The ORL Database of Faces is used for testing
the above mentioned cascade. The experimental results
are given.
