Online signature verification using neural network and pearson correlation features

Online signature verification using neural network and pearson correlation features

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 obtai...

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Bibliographic Details
Main Authors: Iranmanesh V., Ahmad S.M.S., Wan Adnan W.A., Malallah F.L., Yussof S.
Other Authors: 56047920000
Format: Conference paper
Published: IEEE Computer Society 2023
Subjects:
Feature extraction
Neural network
Online signature verification
Pattern recognition
Pearson correlation coefficients
Neural networks
Back propagation neural networks
On-line signature verification
Pearson correlation
Pen-pressure
Correlation methods
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Institution: Universiti Tenaga Nasional
Description
Summary: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.

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