good face detection system should have the ability
to identify objects with varying degrees of illumination and
orientation. It should also be able to respond to all the possible
variations in the image. The image of the face depends on the
relative camera face pose such as the nose and one eye. The
appearance of a face is directly influenced by the facial expression
of a person and partially occluded by objects around it. One of the
most important and necessary conditions for face recognition is to
exclude the background of reliable face classification techniques.
However, the face can appear in complex backgrounds and
different positions. The face recognition system can mistake
some areas of the background for faces. This paper solves some
face recognition problems including segmenting, extracting and
identifying facial features that are thought to face from the
background.