基于相位信息的人眼状态检测

为有效解决不同光照环境对人眼检测算法带来的诸多问题,提出一种基于相位信息的眼部状态检测算法,首先使用相位信息对眼部区域的边缘特征进行提取,然后依据垂直直方图统计二值化图像中白色像素数,最后设定合理阈值对人眼状态作出判断。实验结果表明,算法在保证识别正确率的同时对环境亮度变化具有较好的鲁棒性。

Eye states detection algorithm based on phase information

As different illumination scenes influenced on the result of the algorithm,we proposed an eye states detection algorithm based on phase information.After using phase congruency to extract the feature of eye,the result image and calculate the number of white pixels was culated to examine the eye states according to vortical histogram.The experimental result shows that it is robust to different illumination environments and has good accuracy.