Most image generation algorithms scan image pixels according to top-to-bottom and left-to-right scanning; calculate the value of every pixel.
大多数的图像生成算法，都是按照从上到下从左到右的顺序扫描图像，计算每个像素点的颜色值。
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。
Two-value iris template will be achieved by compare every point of convolve image with zero.
对虹膜区域进行二值化编码，获得虹膜特征模板。
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