Azmi, Mohd Sanusi and Nasrudin, Mohammad Faidzul and Omar, Khairuddin and Che Wan Ahmad, Che Wan Shamsul Bahri and Wan Mohd Ghazali, Khadijah (2013) Exploiting Features From Triangle Geometry For Digit Recognition. In: 2013 International Conference On Control, Decision And Information Technologies (CoDIT 2013), 6-8 May 2013, Hammamet Tunisia.
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Abstract
Triangle is a basic geometry. There are six type of triangle, but scalene triangle was chosen to be used in this research that based on coordinates of corners generated by our proposed algorithm. In this paper, nine features are proposed where six features were derived from coordinates and sides of triangle. Another three features are angle of corners. After features are identified, image will be zoned into 25 zones. The zoning processes are based on Cartesian plan, Vertical and Horizontal zones. From the zoning, from nine features will become 225 features. The features proposed will be used to HODA, MNIST, IFHCDB and BANGLA datasets. Experiments will be conducted using supervised learning that are Support Vector Machine (SVM) and Multi-layer Perceptron (MLP). Results from the experiments will be evaluated with different Cost (c) for the SVM and Learning Rate (LR) for the MLP. Then, the result will be compared to state of the art by other researches.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Triangle features, Feature extraction, Zoning, Dataset |
| Divisions: | Faculty of Information and Communication Technology > Department of Software Engineeering |
| Depositing User: | Dr Mohd Sanusi Azmi |
| Date Deposited: | 25 Mar 2014 08:08 |
| Last Modified: | 12 Jul 2021 09:57 |
| URI: | http://eprints.utem.edu.my/id/eprint/11816 |
| Statistic Details: | View Download Statistic |
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