All the nonlinear normalization methods resolve the above distortion based on density equalization, and differs on the stroke density description.
各种非线性规范化的共同点在于它们都是基于密度均衡来解决上述变形，区别在于对笔画密度的描述不同。
By using enhanced weighted dynamic meshes based on nonlinear normalization, this method not only avoids the zigzags and other undesirable side effects introduced in the original Yamada et al.
为了更有效地提取手写汉字的特征，提高识别精度，本文提出了一种利用非线性归一化过程产生的坐标变换信息来提取手写汉字有效特征的方法。
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