The Classification of Ancient Sumerian Characters using Convolutional Neural Network

Ahmed Al-Noori, Moahaimen Talib, Jamila S.

Abstract

Recently, many sophisticated techniques have been used to classify ancient characters just like Phoenician, Egyptian hieroglyphs, and Maya glyphs. This paper proposed a new technique based on Convolutional Neural Network to classify (CNN) characters from Sumerian texts. The work was motivated by the challenges that faced with the status of Sumerian tablets which some had been broken and distorted by erosion factors. This technique includes taking the dataset of the Sumerian character's features and apply to these characters. Then, after initializing the weights for the output neurons, the layers of the CNN are prepared. Finally, the performance of this network is evaluated. This technique shows significant results and time-consuming.

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Paper Citation


in Harvard Style

Al-Noori A., Talib M. and S. J. (2020). The Classification of Ancient Sumerian Characters using Convolutional Neural Network.In Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES, ISBN 978-989-758-497-8, pages 36-41. DOI: 10.5220/0010377000360041


in Bibtex Style

@conference{icces20,
author={Ahmed Al-Noori and Moahaimen Talib and Jamila S.},
title={The Classification of Ancient Sumerian Characters using Convolutional Neural Network},
booktitle={Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES,},
year={2020},
pages={36-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010377000360041},
isbn={978-989-758-497-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES,
TI - The Classification of Ancient Sumerian Characters using Convolutional Neural Network
SN - 978-989-758-497-8
AU - Al-Noori A.
AU - Talib M.
AU - S. J.
PY - 2020
SP - 36
EP - 41
DO - 10.5220/0010377000360041