Face perspective understanding using artificial neural network group-based tree

Recent artificial neural network research has focused on simple models, but such models have not been very successful in describing complex systems (such as face perspective understanding). This paper presents the artificial neural network group-based tree (NGT) model, along with test results under laboratory conditions for face perspective understanding, suitable for use in an airport security system. We conclude that the NGT model offers significant improvement over conventional neural network trees for image understanding.