Volume 11, Issue 2, November 2014, Pages 551–557
Mie Mie Tin1 and Mie Mie Khin2
1 Informatin Science Department, University of Computer Studies, Mandalay, Mandalay, Myanmar
2 Ministry of Science and Technology, Department of Advanced Science and Technology, Naypyitaw, Myanmar
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This paper is intended to develop the Decision Support System of Myanmar Literature shown by Myanmar Stone Inscriptions using Image segmentation and Zernike Moment Magnitudes (ZMM) approach for similarity measure. Myanmar nationals have Myanmar Language, religion and culture. The origin of Myanmar Language and writing is searched stone inscriptions is found. Myanmar alphabets are sculptured on stones through five eras. In this paper, we present Zernike Moment Magnitudes (ZMM) approach based on script feature having the objective of classifying ancient era with the uncertainty that may occur in a classification problem. Describing some methods to classify ancient era using Myanmar alphabets sculptured on stones and getting classification methods are based on Zernike moment magnitudes (ZMM) approach. This paper wants to support automatic classification for Myanmar ancient stone inscription character. It's also providing decision support for Myanmar history. We also use image of Myanmar stone script data.
Author Keywords: Zernike moment magnitudes (ZMM), Stone-Script, Image segmentation, Decision Support system, Machine Learning, Sensitively Analysis.
Mie Mie Tin1 and Mie Mie Khin2
1 Informatin Science Department, University of Computer Studies, Mandalay, Mandalay, Myanmar
2 Ministry of Science and Technology, Department of Advanced Science and Technology, Naypyitaw, Myanmar
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This paper is intended to develop the Decision Support System of Myanmar Literature shown by Myanmar Stone Inscriptions using Image segmentation and Zernike Moment Magnitudes (ZMM) approach for similarity measure. Myanmar nationals have Myanmar Language, religion and culture. The origin of Myanmar Language and writing is searched stone inscriptions is found. Myanmar alphabets are sculptured on stones through five eras. In this paper, we present Zernike Moment Magnitudes (ZMM) approach based on script feature having the objective of classifying ancient era with the uncertainty that may occur in a classification problem. Describing some methods to classify ancient era using Myanmar alphabets sculptured on stones and getting classification methods are based on Zernike moment magnitudes (ZMM) approach. This paper wants to support automatic classification for Myanmar ancient stone inscription character. It's also providing decision support for Myanmar history. We also use image of Myanmar stone script data.
Author Keywords: Zernike moment magnitudes (ZMM), Stone-Script, Image segmentation, Decision Support system, Machine Learning, Sensitively Analysis.
How to Cite this Article
Mie Mie Tin and Mie Mie Khin, “Classification Based On Stone Inscription Image,” International Journal of Innovation and Scientific Research, vol. 11, no. 2, pp. 551–557, November 2014.
