DocumentCode :
532873
Title :
On-line signature verification based on template matching approach and support vector data description
Author :
Dong, Liu ; Yun-Jian, Ge ; Xue-Yong, Zhang
Author_Institution :
Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei, China
Volume :
12
fYear :
2010
fDate :
22-24 Oct. 2010
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..
Keywords :
feature extraction; handwriting recognition; features extraction; online signature verification; support vector data description; template matching approach; Dynamics; Feature extraction; Force; Handwriting recognition; Kernel; Support vector machines; Training; 3-axis force; SVDD; Signature verification; template matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5622460
Filename :
5622460
Link To Document :
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