Publication: Online signature verification using neural network and pearson correlation features
Date
2013
Authors
Iranmanesh V.
Ahmad S.M.S.
Wan Adnan W.A.
Malallah F.L.
Yussof S.
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Society
Abstract
In this paper, we proposed a method for feature extraction in online signature verification. We first used signature coordinate points and pen pressure of all signatures, which are available in the SIGMA database. Then, Pearson correlation coefficients were selected for feature extraction. The obtained features were used in back-propagation neural network for verification. The results indicate an accuracy of 82.42%. � 2013 IEEE.
Description
Keywords
Feature extraction , Neural network , Online signature verification , Pattern recognition , Pearson correlation coefficients , Feature extraction , Neural networks , Pattern recognition , Back propagation neural networks , On-line signature verification , Pearson correlation , Pearson correlation coefficients , Pen-pressure , Correlation methods