https://github.com/pabasar/period-prediction-of-sinhala-epigraphical-scripts-using-convolutional-neural-networks

https://github.com/pabasar/period-prediction-of-sinhala-epigraphical-scripts-using-convolutional-neural-networks

convolutional-neural-networks deep-learning epigraphy image-processing inscriptions keras opencv tensorflow2 transfer-learning

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/pabasar/period-prediction-of-sinhala-epigraphical-scripts-using-convolutional-neural-networks
• Owner: pabasar
• Created: 2021-08-31T07:07:26.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-05-23T15:05:34.000Z (over 2 years ago)
• Last Synced: 2023-08-16T20:56:53.266Z (over 1 year ago)
• Topics: convolutional-neural-networks, deep-learning, epigraphy, image-processing, inscriptions, keras, opencv, tensorflow2, transfer-learning
• Language: Python
• Homepage:
• Size: 17.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Period Prediction of Sinhala Epigraphical Scripts using Convolutional Neural Networks

### These codings are related to the research paper -  Pabasara, S., Kokul, T. : “Period Prediction of Sinhala Epigraphical Scripts using Convolutional Neural Networks”, IEEE 21st International Conference on Advances in ICT for Emerging Regions (ICTer), Sri Lanka. 2021.

### Please check the research paper here: https://ieeexplore.ieee.org/document/9774806

### Please check the image dataset here: https://www.kaggle.com/pabasar/ceylon-epigraphy-periods

#### Special thanks to the Department of Archaeology, Sri Lanka, for their support and guidance.