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

下载

页码：594 / +

页数：3

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