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An Eye Feature Extraction Based on Harris Algorithm

机译：基于哈里斯算法的眼睛特征提取

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摘要

In order to improve the recognition rate of the facial recognition system and the efficiency of the algorithm, a method based on Harris algorithm and changes of threshold to extract eye contour automatically is proposed.This method uses the idea of minimum extremal region.It makes use of the dynamic change of threshold form low to high.After location the eye area initially, the location of the eye pupil is located accurately by means of the method of gray statistic.Then Harris algorithm is used to confirm the eye point position.Finally, the characteristics of the eye contour are fitted.The experimental result shows that this method can extract the feature of eye contour effectively and has the better robustness about illumination and facial expression.
机译：为了提高人脸识别系统的识别率和算法效率，提出了一种基于哈里斯算法和阈值变化的自动提取眼轮廓的方法，该方法采用了最小极值区域的思想。阈值从低到高的动态变化。首先对眼睛区域进行定位后，利用灰色统计方法对眼瞳孔的位置进行精确定位。然后使用哈里斯算法确定眼点位置。实验结果表明，该方法能够有效地提取出人眼轮廓的特征，对光照和面部表情具有较好的鲁棒性。

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