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Off-line signature verification incorporating the prior model
文献类型:会议
作者:Wan, Liang[1]  Lin, Zhou-Chen[2]  Zhao, Rong-Chun[3]  
机构:[1]Dept. of Comp. Sci. and Engineering, NW. Polytechnical University, Xi'an, Shaanxi 710072, China
[2]Multimodal User Interface Group, Microsoft Research, Asia, Beijing 100080, China
[3]Dept. of Comp. Sci. and Engineering, NW. Polytechnical University, Xi'an, Shaanxi 710072, China
年:2003
通讯作者:Wan, L (reprint author), Northwestern Polytech Univ, Dept Comp Sci & Engn, Xian 710072, Shaanxi, Peoples R China.
会议名称:2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS
页码范围:1602-1606
会议开始日期:2003-11-02
收录情况:EI(2004128072127)  CPCI-S(WOS:000189420700321)  
人气指数:718
浏览次数:701
语言:外文
关键词:signature verification; simple forgery; boosting algorithm; the prior model
摘要:
The existing signature verification systems usually train classifiers for a new user by both his/her genuine and forgery signatures. Obviously, the requirement of forgery signatures is impractical. This paper presents an off-line signature verification system that only requires the genuine signatures of a new user. At the training stage the system learns the mapping between the parameters of classifiers without simple forgeries and those with simple forgeries. In the application stage, a primary ...More
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