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Online Signature Verification by Visualization of Dynamic Characteristics using New Pattern Transform Technique  

Chi Suyoung (한국전자통신연구원 지능형로봇연구단)
Lee Jaeyeon (한국전자통신연구원 지능형로봇연구단)
Oh Weongeun (한국전자통신연구원 콘텐츠보호연구팀)
Kim Changhun (고려대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.7, 2005 , pp. 663-673 More about this Journal
Abstract
An analysis model for the dynamics information of two-dimensional time-series patterns is described. In the proposed model, two novel transforms that visualize the dynamic characteristics are proposed. The first transform, referred to as speed equalization, reproduces a time-series pattern assuming a constant linear velocity to effectively model the temporal characteristics of the signing process. The second transform, referred to as velocity transform, maps the signal onto a horizontal vs. vertical velocity plane where the variation oi the velocities over time is represented as a visible shape. With the transforms, the dynamic characteristics in the original signing process are reflected in the shape of the transformed patterns. An analysis in the context of these shapes then naturally results in an effective analysis of the dynamic characteristics. The proposed transform technique is applied to an online signature verification problem for evaluation. Experimenting on a large signature database, the performance evaluated in EER(Equal Error Rate) was improved to 1.17$\%$ compared to 1.93$\%$ of the traditional signature verification algorithm in which no transformed patterns are utilized. In the case of skilled forgery experiments, the improvement was more outstanding; it was demonstrated that the parameter set extracted from the transformed patterns was more discriminative in rejecting forgeries
Keywords
Online Signature Verification; User Authentication;
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