Using Adapted Levenshtein Distance for On-Line Signature Authentication
Sascha Schimke, Claus Vielhauer, Jana Dittmann · 2004
In this paper a new method for on-line signature authen-tication will be presented, which is based on a event-string modelling of features derived from pen-position and pres-sure signals of digitizer tablets. A distance measure well known from textual pattern recognition, the Levenshtein Distance, is used for comparison of signatures and classifi-cation 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 cor-rect identification rates of 96 % at zero false classifications. 1.