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：
ADVANCES IN BIOMETRICS, PROCEEDINGS | 2007年 / 4642卷
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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