基于时序特征融合的动态签名鉴伪算法

针对现有签名鉴伪方法对高水平伪签名鉴伪准确率低的问题，提出一种基于时序特征融合的动态签名鉴伪算法。首先根据签名者落笔与提笔的时间节点建立动态时间轴，在签名过程中提取笔迹的压力和笔速两类时序特征；然后在两类特征对应数据的基础上构建时序特征融合模型，通过一种多维空间模型相似性度量方法计算待测签名和样本签名的相似度，从而实现签名真伪性鉴别。实验结果表明，与现有算法相比，该方法进一步提高了签名鉴伪的准确率和通用性。

Dynamic signature verification method based on timing feature fusion

In order to increase the accuracy rate of signature verification for higher-level forgery, this paper developed a dynamic signature verification method based on timing feature fusion. First, during the writing process, it created a dynamic timeline, and extracted two timing features, the handwriting pressure and writing speed. Then it designed a fusion model of timing features based on the data of the features above. This paper calculated the similarity between the test signature and the sample signature by a similarity measure method of multidimensional spatial model. Finally, it realized signature verification by the analysis of similarity. The experiments show that the proposed algorithm has the advantages of high accuracy rate and good universality.