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
         
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ICCASM.2010.5622460