Online signature verification using neural network and pearson correlation features

• 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

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.