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On-line signature verification based on template matching approach and support vector data description

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3 Author(s)
Liu Dong ; Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China ; Ge Yun-Jian ; Zhang Xue-Yong

Automatic on-line signature verification is an intriguing intellectual challenge with wide attention and practical applications. To solve the difficulty of how to choose the verification threshold in signature verification, we present a novel method based on template matching approach and support vector data description (SVDD) in this paper. Investigates the details of the method and examines the validation of features extracted from 3-axis force of pen-tip to writing tablet. The effectiveness of the proposed solution is demonstrated by the experiment..

Published in:

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)  (Volume:12 )

Date of Conference:

22-24 Oct. 2010