By Topic

A New Scheme for Off-line Signature Verification Using DWT and Fuzzy Net

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Wei Tian ; Shandong University, China ; Yizheng Qiao ; Zhiqiang Ma

In the novel system for off-line signature verification, both static and pseudodynamic features are extracted as original signal, which is processed by discrete wavelet transform (DWT) for the purpose of enhancing the difference in time domain between a genuine signature and its forgery. The verification scheme is achieved by combining the proposed fuzzy net output in each sub-band level. In addition, how to train the fuzzy net and get the appropriate training samples are also introduced. The experimental results with English and Chinese signature databases confirm the effectiveness of the proposed technique and show its ability to yield high verification rates.

Published in:

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on  (Volume:3 )

Date of Conference:

July 30 2007-Aug. 1 2007