Sahmin, Samsuryadi and Shamsuddin, Siti Mariyam (2011) WRITER INDENTIFICATION BASED ON HYPER SAUSAGE NEURON. Proceedings of the 3rd International Conference on Computing and Informatics, ICOCI.
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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: | Article |
|---|---|
| Uncontrolled Keywords: | biomimetic pattern recognition, hyper sausage neuron, writer identification, united moment invariants, aspect united moment invariants |
| Subjects: | T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General) |
| Divisions: | 09-Faculty of Computer Science > 55101-Informatics (S2) |
| Depositing User: | Dr. Syamsuryadi Sahmin |
| Date Deposited: | 25 Sep 2019 03:26 |
| Last Modified: | 25 Sep 2019 03:26 |
| URI: | http://repository.unsri.ac.id/id/eprint/8771 |
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