Face Recognition Using Stationary wavelet transform and Neural Network with Support Vector Machine


Face recognition is a type of biometric software application that can identify a specific individual in a digital image by analyzing and comparing patterns. It is the process of identifying an individual using their facial features and expressions.In this paper we proposed a face recognition system using Stationary Wavelet Transform (SWT) with Neural Network, the SWT are applied into five levels for feature facial extraction with probabilistic Neural Network (PNN) , the system produced good results and then we improved the system by using two manner in Neural Network (PNN) and Support Vector Machine(SVM) so we find that the system performance is more better after using SVM where the result shows the performance of the system is better based on the recognition rate measurement.