笔迹鉴别多用匹配方法比较字符的书写风格，而字符图像的预处理和归一化对匹配是非常重要的。
In writer identification (WI), writing styles are always compared by character matching, while image preprocessing and normalization are very important for matching.
文章介绍了车牌图像的二值化和字符分割算法。
This article introduces the algorithm of bicycle images binary and segmentation of characters.
然后进一步提出根据图像边缘和字符投影特征构造图像特征矢量的思想，以及特征矢量的构成方式和归一化方法。
We present a method to construct image feature vector using edge and projection of character image. The composing way and normalizing of feature vector are shown.
其一是图像预处理方法不当，在字符切分、大小归一化、倾斜校正以及签名图像的细线化时会丢失签名特征。
The first one is improper image pre-processing, such as segmentation, normalization and thinning, which lose the features of letters relationship and strokes.
这意味着应尽可能为非特定区域性而非特定区域性在资源文件中存储已本地化的字符串、图像等。
That means to store localized strings, images, and so forth in resource files for neutral cultures rather than specific cultures whenever possible.
这意味着应尽可能为非特定区域性而非特定区域性在资源文件中存储已本地化的字符串、图像等。
That means to store localized strings, images, and so forth in resource files for neutral cultures rather than specific cultures whenever possible.
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