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Center Position Tracking Enhancement of Eyes and Iris on the Facial Image  

Chai Duck-hyun (Mokwon Univ.)
Ryu Kwang-ryol (Mokwon Univ.)
Abstract
An enhancement of tracking capacity for the centering position of eye and iris on the facial image is presented. A facial image is acquisitioned with a CCD camera to be converted into a binary image. The eye region to be a specified brightness and shapes is used the FRM method using the neighboring five mask areas, and the iris on the eye is tracked with FPDP method. The experimental result shows that the proposed methods lead the centering position tracking capability to be enhanced than the pixel average coordinate values method.
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