Sahmin, Samsuryadi and Shamsuddi, Siti Mariyam (2011) Writer identification based on hyper sausage neuron. In: International Conference Of Computing And Informatics 2011 (ICOCI).
Full text not available from this repository.
Official URL: https://www.researchgate.net/profile/Samsuryadi_Sa...
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. Writer Identification Based on Hyper Sausage Neuron (PDF Download Available). Available from: https://www.researchgate.net/publication/223129794_Writer_Identification_Based_on_Hyper_Sausage_Neuron [accessed Jul 17, 2017].
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | biomimetic pattern recognition, hyper sausage neuron, writer identification, united moment invariants, aspect united moment invariants |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Computing |
| ID Code: | 46453 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 10 Jun 2015 03:01 |
| Last Modified: | 17 Jul 2017 01:47 |
Repository Staff Only: item control page
