Face Recognition System Using Independent Components Analysis and Support Vector Neural Network Classifier

With an increasing number of security threats in recent years, the field automatic facial recognition has seen many new developments. The introduction face algorithms focuses on accuracy rate system. This paper introduces a system using Independent Component Analysis (lCA) for feature extraction and Support Vector Neural Network (SVNN) classification. As well as introducing comparison between SVNN Machine (SVM) Artificial (ANN) classifiers, they are applied to prove reliability proposed method. implemented experiments use Yale databases, results that approach higher than (ICA+SVM) (ICA+ANN) approaches recognition.