Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups

被引：0
|
作者：
Zalasinski, Marcin [1 ]
Cpalka, Krzysztof [1 ]
机构：
[1] Czestochowa Tech Univ, Inst Computat Intelligence, Czestochowa, Poland
来源：
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT I | 2013年 / 7894卷
关键词：
EVOLUTIONARY METHODS; FUZZY;
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：
Identity verification based on on-line signature is a commonly known biometric task. Some methods based on the on-line signature biometric attribute used for identity verification use information from partitions of the signature. Efficiency of these methods is relatively high. In this paper we would like to present a new approach to signature trajectories partitioning, based on selection of the discretization points groups. The new method was compared to other methods, with use of the SVC2004 public on-line signature database.
引用
收藏
页码：493 / 502
页数：10
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