介绍了手写签名特征抽取和选择的一般方法，并在此基础上，提出了一种实用的签名笔迹特殊点提取算法。
In this paper, the method for feature extraction and selection of handwriting signature is discussed. On this basis, a functional algorithm of special points extraction has been presented.
通过将提取出的签名笔迹形状特征结合伪动态特征进行鉴别，可以有效降低识别错误率，达到较好的综合鉴别效果。
Through the combination of form and false dynamic characteristics, the rate of false recognition can be reduced effectively, preferable comprehensive identification effect can be achieved.
通过将提取出的签名笔迹形状特征结合伪动态特征进行鉴别，可以有效降低识别错误率，达到较好的综合鉴别效果。
Through the combination of form and false dynamic characteristics, the rate of false recognition can be reduced effectively, preferable comprehensive identification effect can be achieved.
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