Analysis of neural networks for face recognition systems with feature extraction to develop an eye localization based method

This paper provides an analysis of multilayer perceptron backpropagation neural networks (MLP/BP NN), radial basis function neural networks (RBF NN), and multilayer cluster neural networks (MCNN) applications in face recognition. Feature extraction methods involved in the analysis are the discrete wavelet transform (DWT), discrete Radon transform (DRT), discrete cosine transform (DCT) and the principal component analysis (PCA) technique. Algorithms were developed using Matlab and tested on the ORL database. Also, a new proposed 2-stage face recognition system is presented based on eye localization and a windowed face area for recognition.