Ability of neural network to detect and recognize of faces images in noisy environment

This paper suggested new systematic analysis of faces images detection and recognition. The paper combined two methods for face detection and recognition to achieve better detection rates in noisy environment. The two methods are the eigenface method and the neural networks. In first module, the eigenface model is used to detect the features of different faces. In second module, the back propagation neural network with conjugate gradient learning rate is created, trained and finally tested set of faces under different noisy environment conditions.