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

Content Provider	IEEE Xplore Digital Library
Author	Liu Dong Ge Yun-Jian Zhang Xue-Yong
Copyright Year	2010
Description	Author affiliation: Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China (Liu Dong; Ge Yun-Jian) \|\| School of Instrument Science and Opto-Electronic Engineering, Hefei University of Technology, 230009, China (Zhang Xue-Yong)
Abstract	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..
File Size	775184
File Format	PDF
ISBN	9781424472352
e-ISBN	9781424472376
DOI	10.1109/ICCASM.2010.5622460
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Support vector machines Handwriting recognition Signature verification SVDD Force Dynamics 3-axis force Feature extraction Template matching Kernel
Content Type	Text
Resource Type	Article

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