Intelligent Recognition of Ancient Persian Cuneiform Characters

Fahimeh Mostofi, Adnan Khashman

Abstract

This paper presents an intelligent character recognition system based on utilising a back propagation neural network model. The characters in question are unique and rare to be addressed in such applications. These are the ancient Persian Cuneiform alphanumerical characters. The recognition system comprises firstly, image processing phase where clear and noisy or degraded images of the ancient script are prepared for processing by the neural model in the second phase. The importance of such application lies in its potential to make translating ancient scripts and language easier, faster and more efficient. Experimental results indicate that our proposed method can be further applied successfully to other ancient languages and may be utilised in museums and similar environments.

References

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Paper Citation


in Harvard Style

Mostofi F. and Khashman A. (2014). Intelligent Recognition of Ancient Persian Cuneiform Characters . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 119-123. DOI: 10.5220/0005035401190123


in Bibtex Style

@conference{ncta14,
author={Fahimeh Mostofi and Adnan Khashman},
title={Intelligent Recognition of Ancient Persian Cuneiform Characters},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={119-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005035401190123},
isbn={978-989-758-054-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Intelligent Recognition of Ancient Persian Cuneiform Characters
SN - 978-989-758-054-3
AU - Mostofi F.
AU - Khashman A.
PY - 2014
SP - 119
EP - 123
DO - 10.5220/0005035401190123