The Automatic Recognition of Human Faces Based on the Uncorrelated Optimal Discriminant Transformation and Multiclassifier Combination
Zhao Hai · 2000
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.