Since illumination condition effects recognition ratio for human face greatly, while average gray value of every face image is different, we must standardize gray value of face images.
由于人脸识别率受照明条件的影响较大，而各个人脸图像的平均灰度值各不相同，所以必须对人脸图像进行灰度归一化。
Meanwhile, through the privacy key analysis, the histogram analysis, the information entropy, the average value of gray change and the relevant analysis, the security of this algorithm is very high.
同时通过具体的密钥空间分析、直方图分析、信息熵、灰度变化平均值和相关性分析显示，该算法具有很高的安全性能。
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