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

页码：931 / 934

页数：4

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