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Multi-position eye location based on complex background
复杂背景下的多姿态人眼定位

Keywords: eye location,particle swarm optimization(PSO),skin segmentation,Gabor filter,gray projection
眼睛定位
,粒子群算法,肤色分割,Gabor滤波,灰度投影

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Abstract:

To solve the problem of eye location of human face in multi-position and complex background of color image, this paper proposed a method for eye location based on skin segmentation and Gabor filter. Firstly, it used the improved Otsu algorithm based on particle swarm optimization to segment the image and obtained candidate regions of face. Then it devised an Gabor filter to filter the image to highlight the eye region. Finally, it used the gray projection to determine the position of eyes accurately. The results show that the method of skin segmentation works well and has advantages about eye location of human face in multi-position and complex background, which is important for face recognition in real time.

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