Abstract:
There is more than one type of neural net uses to classify complex pattern (face), and it is
represent very suitable technique for face localization. We present backpropagation neural
network-based face localization system. Face localization in image is a two class (face, nonface)
and it is represent very an important first step for many systems ranging from supervision to
human computer interface because of the computational model of face. The proposed system
consist of two subsystem ,first subsystem is preprocessing operations on image to make it
smooth and make next operation (training patterns in backpropagation neural net )easy as
possible .Second subsystem is classifying the patterns produced by the preprocessing stage
consists showing the patterns(an image) to backpropagation neural net to localize the face in an
image .