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.
实验结果表明：动态特征能够作为认定书写人，鉴别摹仿签名的重要依据。
The results of experiments indicated that dynamic features were important basements which be used to identify writer, and also to distinguish imitated signatures.
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。
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.
基于改进动态时间规整和一维曲线段弹性匹配的联机手写签名鉴别。
Online signature verification based on improved dynamic time warping and the elastic matching of 1d curve segments.
基于改进动态时间规整和一维曲线段弹性匹配的联机手写签名鉴别。
Online signature verification based on improved dynamic time warping and the elastic matching of 1d curve segments.
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