摘要
探索动态特征与区域位置特征相结合的电子签名检测方法,提升对高水平练习摹仿电子签名的识别精度。研究采用静态分区法对电子签名所附的动态数据进行分析,并进行定量测试,通过数据统计分析,比较了区域位置特征划分前后同一人电子签名和不同人电子签名的动态数据的重合度。该方法能有效提升练习摹仿电子签名笔迹的识别精度,数据直观、准确、稳定,对电子签名笔迹识别的理论和实践具有一定的意义。
To explore the method of combining dynamic characteristics with regional location characteristics to check electronic signature,so as to improve the identification accuracy of simulated electronic signature.Methods:The static partition method was used to analyze the dynamic data attached to the electronic signature,and the quantitative test was carried out.Results:Through statistical analysis of data,the variation rules of velocity and pressure in the dynamic characteristics of real signature and imitation signature were analyzed in different regions,and the coincidence degree of the dynamic data of the same person's electronic signature and different person's electronic signature was compared before and after the partitioning of regional location characteristics.Conclusions:This method can effectively improve the recognition accuracy of high level imitation handwriting,and the data is intuitive,accurate and stable,which is of certain significance to the theory and practice of electronic signature handwriting identification.
作者
黄娟娟
薛宇航
王凡
Huang Juanjuan;Xue Yuhang;Wang Fan(Department of Criminal Science and Technology,Hunan Police Academy,Changsha 410138,China;Tongshan Police Station of Ningyuan County Public Security Bureau,Yongzhou 425699,China)
出处
《现代计算机》
2023年第8期61-66,共6页
Modern Computer
基金
2021年湖南省大学生创新创业训练计划项目(湘教通〔2021〕197号):电子签名动静态特征综合检验研究。
关键词
文件检验
动态特征
区域位置
电子签名笔迹
练习摹仿笔迹
document inspection
dynamic features
regional location
electronic signature handwriting
practice imitating handwriting
