An Eye Localization Method Based on the Skin Color Feature and Otsu Algorithm

Xiu Fang Yang; Yin Cheng Qi; Jie Yao

doi:10.4028/www.scientific.net/AMM.401-403.1324

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403An Eye Localization Method Based on the Skin Color...

An Eye Localization Method Based on the Skin Color Feature and Otsu Algorithm

Abstract:

In order to eliminate the influences of illumination and face-poses on eye localization, a feasible method is proposed based on the skin color feature and Otsu algorithm. Firstly, we detect the skin color in YCb'Cr' color space. Skin color segmentation principle is used to narrow the search region in human eye detection. Then we convert the segmented image to a binary image by Otsu algorithm and extract the eye region. Finally, the left and right eyes are positioned in the facial area with the binary integral projection. An analysis of the detections reveals that this algorithm has good robustness against changes of illumination and face-pose.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1324-1327

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1324

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Online since:

September 2013

Authors:

Xiu Fang Yang, Yin Cheng Qi, Jie Yao

Keywords:

Human Eye Localization, Integral Projection, Skin Color Segmentation

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