Abstract

The human eyes feature plays an important role in the human face feature extraction and the human face recognition. It can be used to correct the human face posture and locate the other face key features by the coordinates of the eyes on the human face. In this paper, we train the human eyes detection cascade strong classifier which be used to detect the human eyes position on the human face , and then locate the pupil center position by making use of the ellipse fitting algorithm and the human eyes mask templates. The experimental results show that these algorithms which be used in this paper can accurately locate the pupil center position.

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