This paper aims to develop face detection system using Artificial Neural Network (ANN). Face detection is one of the most important in security system. In this paper, an input image of face is acquired firstly by using a digital camera (model - Canon PowerShotA3100). The image is segmented by using threshold function and is needed to perform image processing techniques such as converting gray scale, noise removal image, edge image and changing to digited image. The important features of the image are needed to be extracted according to morphological features. A complete set of 12 features are used for the classification of final outcomes. Feature vectors obtained from feature extraction are used as input to neural networks. The system trains the Neural Network using Back-propagation algorithm. MATLAB 2009a programming language is used to implement this system.