%0 Journal Article
%T Signature Verification Using Handwriting Friction Force<br>基于书写摩擦力的签名识别方法
%A JIAO Hui-Min
%A WANG Dang-Xiao
%A ZHANG Yu-Ru
%A FANG Lei
%A <br>焦慧敏
%A 王党校
%A 张玉茹
%A 方磊
%J 自动化学报
%D 2011
%I 
%X Dynamic coordinates exist in handwriting input equipment of the digital pen. Consequently, various holding gestures of the digital pen lead to different decomposition ways of friction force. An approach using handwriting friction force for online signature verification is presented. The feature representation of friction direction is described in Cartesian coordinates. A novel system combines the extracted signature features with the characteristic of force magnitude to realize fusion of distance measures and probability. A quickly removed method is applied to the proposed system to improve the recognition efficiency. Two-stage discrimination is executed in distinguishing true and false signatures. Experiment result explores that fusion of handwriting force magnitude and direction for signature verification is shown to give complementary recognition information. As opposed to a single method, the fusion approach has a much higher recognition rate.
%K Handwriting force
%K signature verification
%K feature fusion
%K hidden Markov model<br>书写力
%K 签名识别
%K 特征融合
%K 隐马尔科夫模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F32C7DEF351C88CC174C6DB953C99EC0&yid=9377ED8094509821&vid=42425781F0B1C26E&iid=DF92D298D3FF1E6E&sid=899CC9158FC43EF4&eid=38DB5AF4AD8FDCCA&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=24