Some remarks on a set of information theory features used for on-line signature verification

被引：0
|
作者：
Antal, Margit [1 ]
Szabo, Laszlo Zsolt [2 ]
机构：
[1] Sapientia Univ, Fac Tech & Human Sci, Dept Math & Informat, Targu Mures, Romania
[2] Sapientia Univ, Fac Tech & Human Sci, Dept Elect Engn, Targu Mures, Romania
来源：
2017 5TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSIC AND SECURITY (ISDFS) | 2017年
关键词：
on-line signature verification; information theory features; feature consistency; performance evaluation;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Recently a new set consisting of six information theory features was proposed for on-line signature verification by Rosso, Ospina and Frery. The proposed features were evaluated on the MCYT-100 on-line signature database resulting in the best performance ever measured on that dataset. In this paper we repeat their measurements and show that their result is erroneous. In addition, we evaluate the performance of the same on-line signature verification system using exactly the same number of state-of-the-art features. State-of-the-art features always outperform the information theory related features, regardless of the classification method used.
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收藏
页数：5
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