The proposed off-line handwritten Chinese character recognition system was composed of a feature extraction module and a recognition module.

提出的脱机手写体汉字识别系统主要研究特征提取和分类识别两个模块。

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Extraction of features is critical to improve the recognition rate of off-line handwritten characters.

要提高脱机手写字符识别的识别率，关键是特征的提取。

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In this article, an off-line Chinese signature verification system based on pseudo feature and shape feature extraction is introduced, furthermore, we adopted 2-pass verification method.

本文提出了一种将形状特征与伪动态特征相结合的采用2—阶鉴别方法的脱机中文签名鉴别系统。

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