Using adapted Levenshtein distance for on-line signature authentication

被引：23
|
作者：
Schimke, S [1 ]
Vielhauer, C [1 ]
Dittmann, J [1 ]
机构：
[1] Otto Von Guericke Univ, D-39106 Magdeburg, Germany
来源：
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2 | 2004年
关键词：
D O I：
10.1109/ICPR.2004.1334412
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a new method for on-line signature authentication will be presented, which is based on a event-string modelling of features derived from pen-position and pressure signals of digitizer tablets. A distance measure well known from textual pattern recognition, the Levenshtein Distance, is used for comparison of signatures and classification is carried out applying a nearest neighbor classifier Results from a test set of 1376 signatures from 41 persons are presented, which have been conducted for four different feature sets. The results are rather encouraging, with correct identification rates of 96% at zero false classifications.
引用
收藏
页码：931 / 934
页数：4
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