A new approach to signature-based authentication

被引:0
|
作者
Gluhchev, Georgi [1 ]
Savov, Mladen [1 ]
Boumbarov, Ognian [2 ]
Vasileva, Diana [2 ]
机构
[1] Inst Informat Technol, 2 Acad G Bonchev Str, Sofia 1113, Bulgaria
[2] Tech Univ, Fac Commun Technol, Sofia 1000, Bulgaria
来源
关键词
signature; authentication; biometrics; feature weight; classificaction error; color modeling;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new signature based authentication approach is described, where signing clips are analyzed. Using an web-camera a series of frames is acquired that allows investigating the dynamics of the complex "hand-pen". For this a set of features of the hand, the pen and their mutual disposition at the time of signing is derived. Classification and verification decision-making rule based on the Mahalanobis distance has been used. A class-related feature weighting is proposed for the improvement of accuracy. A Gaussian-based model for the description of skin color is suggested. The preliminary experimental results have confirmed the reliability of the approach.
引用
收藏
页码:594 / +
页数:3
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