摘要
基于笔画描述的汉字轮廓线,小波变换能更有效地提取签字的字形特征。该文提出了一种基于小波变换的笔迹鉴别的新方法,利用B-样条函数更适合于计算机图形中的曲线与曲面处理的特性,设计了适合系统特点的四阶样条小波,对签字的每一笔画进行小波变换,又设计了一组公式对各笔画的特征进行合成,从而抽取出了更加稳定有效的签字特征。
This paper presents a new approach to identify Chinese signatures based on the wavelet transform. The extracted shape eigenvalues are effective and accurate when the signature is decomposed into character strokes. The B-spline function has the significant characteristic of processing curve and smface in computer graphics. A group of 4-spline wavelet bases are proposed by B-spline function and applied in each stroke of the signature. It also designs a set of formulas to synthesize the extracted eigenvalues for each stroke so that the resulting signature eigenvalues are more effective and stable.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第18期224-226,共3页
Computer Engineering
关键词
小波变换
样条小波
特征值
样条函数
wavelet transform
spline wavelet
eigenvalue
spline function
