PCA and LDA Based Neural Networks for Human Face Recognition
Alaa Eleyan, Hasan Demirel · 2007
5.1. Training and Testing of Neural Networks Two neural networks, one for PCA based classification and the other for LDA based classification are prepared. ORL face database is used for training and testing. The training is performed by n poses from each subject and the performance testing is performed by 10-n poses of the same subjects. After calculating the eigenfaces using PCA the projection vectors are calculated for the training set and then used to train the neural network. This architecture is called PCA-NN. Similarly, after calculation of the fisherfaces using the LDA, projection vectors are calculated for the training set. Therefore, the second neural network is trained by these vectors. This architecture is called LDA-NN (Eleyan & Demirel, 2005, 2006). Figure 9 shows the schematic diagram for the neural network training phase.