SubImage Index 子图像索引
Subimage Feature Fusion 子图像特征融合
Target subimage 目标子图像
latent subimage 亚潜像
subimage blocks 子图像块
scan subimage 扫描亚成像
candidate subimage 候选子图像
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After image localization and normalization, the subimage for each finger image is obtained.
对手指图像进行定位，经分割、归一化后得到了用于身份鉴别的手指子图。
Compared with the usual method based on single reference subimage, the new method has a lot larger measuring range.
与常用的基于单一参考子图像的波前重构方法相比，新方法的动态范围有了很大提高。
Then, the image grey level of every subimage is approximated by low-order polynomial according to least-square criterion.
然后各子图内像素灰度值以低阶多项式表示，依最小二乘准则以多项式逼近原图像的子图像。
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