Abstract: This new face detection algorithm first used Harr feature and Adaboost algorithm for locating the face area, and then normalized the area into specified size. Utilizing the property of high reflection rate under near infrared light on pupil, Quoit filter based on morphology was used for eye detection. In order to deal with difference sizes of pupil, a multi scale filter was proposed for reducing both of false positive rate and false negative rate. The experience showed that this method is accuracy and fast. And it fits the requirement of real time face detection

Key words: eye detection, Adaboost, morphology, Quoit filter, face detection, eye detection, Adaboost, morphology, Quoit filter