Face recognition technology (FRT) has numerous commercial and law enforcement applications

especially in video surveillance. The primary task at hand

given still or video images

requires the identification of one or more persons using a database of stored face images. Based on Fisher discriminant criterion

In order to extract features by using the uncorrelated discriminant transformation

we use orthogonal wavelet transformation and KL transformation to process the face images at first. According to peoples' recognition experience

we use multi-feature and multi-classifier combination to give out the classification results. Experiments on ORL database obtained an error rate of 2%

which is the best result on this database up to now. Experimental results also show that this method does not sensitive to the pose and expression of human faces.