摘要
签名鉴别是通过分析手写签名的书写风格来判断签字人身份的一门技术。该文提出了一种新的特征数据处理方法—数据场,并且介绍了描述数据场的函数—势函数。笔者把这一思想引入签名鉴别中,把鉴名所形成的四个时序序列(压力、压力变化率、速度和加速度)点作为场中的数据点来看待,形成四类数据场,再从场中提取特征,由于这些特征既考虑了静态的位置信息,又采用了压力、压力变化率等动态特性。在对中文签名的初步实验中得到了很好的实验结果。
This paper proposes a new data processing method,i.e.,data field,and introduces the potential function to describe the properties of data field.Authors apply this method to the on -line HSV and get four kind of fields associated with the pressure,pressure changing frequency,velocity,and acceleration respectively.Then features can be got from these four fields and these features use not only the static location,but also the dynamic properties,i.e.,the pressure,pressure changing frequency,velocity and acceleration.So,preliminary experiments are made using Chinese handwriting signatures and very promising results are attained.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第4期123-126,134,共5页
Computer Engineering and Applications
基金
国家973重点基础研究发展规划资助(编号:G19980305084)