Samsuryadi, , and Shamsuddin, Siti Mariyam and Ahmad, Norbahiah (2011) Writer identification based on hyper sausage neuron. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011, Bandung, Indonesia.

Preview

PDF Download (174kB) | Preview

Abstract

This paper proposes biomimetic pattern recognition (BPR) based on hyper sausage neuron (HSN) and applies it in writer identification. HSN is used to cover the training set.HSN’s coverage can be seen as a topological product of a one-dimensional line segment and an n-dimensional supersphere.The feature extraction is moment invariants such as united moment invariants (UMI) and aspect united moment invariants (AUMI).The experiments result show that AUMI-HSN method is more effective than UMI-HSN method for identifying the authorship of handwriting.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN 978-983-2078-49-4 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords:	biomimetic pattern recognition, hyper sausage neuron, writer identification, united moment invariants, aspect united moment invariants
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	07 Apr 2015 04:37
Last Modified:	07 Apr 2015 04:37
URI:	https://repo.uum.edu.my/id/eprint/13605

Actions (login required)

View Item