自动脱机签名识别技术特别是熟练伪签名检测技术还存在着大量的关键问题亟待解决。
Automatic off-line signature verification techniques, especially, the detection of skilled forgeries have a great number of challenges to be solved.
利用它对签名样本的动态信息时间序列进行校正，可以提高签名特征向量在特征空间上分布的聚拢性，拉开真、伪签名特征向量在特征空间上的距离。
It can effectively increase the compactness of the feature vectors of genuine signatures, and therefore enlarge the distance from the feature vectors of forgery ones.
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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