الفهرس 
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Abstract
human face detection is the first and most important step of face analysis. but face detection is a difficult task in image analysis which has each day more and more applications. Autimatic human face detection from images in surveillance and biometric applications is a challenging task due to th variances in image background, view illumination, articulation, and facial expression.
the existing methods for face detection can be divided into image based methods and feature based methods. we have used intermediate system, it is image based in the sense that it uses a learning algorithm to train the claddifier with some well train positive examples. on the other hand, it is also feature based because the features chosen by the learning algorithom are lost of them related to the particular features of faces )eyes positions, contrast of the nose bridge).