Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33944
Title: An intelligent online signature verification system
Authors: Li, B
Zhang, D 
Keywords: Artificial Neural Networks (ANNs)
Data acquisition
Dynamic time warping (DTW)
False reject rate or ERR
Hidden Markov models (HMMs)
Online signature verification
Signature database
Signature verification system
Time-dependent elastic curve matching
Issue Date: 2005
Publisher: J. Wiley
Source: In M Sarfraz (Ed.), Computer-aided intelligent recognition techniques and applications, p. 99-117. Chichester, West Sussex, England ; Hoboken, NJ: J. Wiley, 2005 How to cite?
Abstract: The study of human signatures has a long history, but online signature verification is still an active topic in the field of biometrics. This chapter starts with a detailed survey of recent research progress and commercial products, then proposes a typical online dynamic signature verification system based on time-dependent elastic curve matching. Rather than using special dynamic features such as pen pressure and incline, this system uses the 1D curves of signatures which can be captured using a normal tablet. Static and dynamic features can be well extracted from these two curves about x- and y-coordinates and applied to verification. To improve the performance, we introduce into the system different local weight, personal threshold and auto-update algorithms for reference samples. Finally, we present applications of online signature verification for PDAs and in Internet E-commerce.
URI: http://hdl.handle.net/10397/33944
ISBN: 0470094141
9780470094143
DOI: 10.1002/0470094168.ch7
Appears in Collections:Book Chapter

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