摘要
针对脱机手写签名鉴定的实现,提出了二阶签名鉴定系统,并进行了相关的实验。在第一阶段中使用了基于静态几何特征与伪动态特征进行粗分类识别,在第二阶段中使用了基于Zernike的特征进行精细分类识别,最终识别出待鉴定的手写签名,实验证明采该鉴定方法,可以在提高鉴定率的同时提高鉴定的效率。
In this paper,an offline Chinese signature identification system based on a two stages classifier is built.It adopted pseudo feature and shape feature extraction.The emphasis of shape feature is the pseudo-Zernike moment with rotation,scale and translation invariance and anti-noise character.The pseudo dynamic features high gray feature（HPF）,framework aspect gray feature,and gray barycenter feature.It has been proved that the identification of 2-pass system can save a lot of time for identification except in improving the recognition rate.
出处
《计算机系统应用》
2010年第1期95-98,156,共5页
Computer Systems & Applications
