Comparative Study of Two Segmentation Methods of Handwritten Arabic Text - MM-OIC and HT-MM

Fethi Ghazouani, Samia Snoussi Maddouri, Fadoua Bouafif Samoud

2014

Abstract

We present in this paper a comparative study of two segmentation methods of handwritten Arabic text. The first method is a combination of the Mathematical Morphology (MM) and the algorithm of construction of the Outer Isothetic Cover of a digital object (OIC) named MM-OIC. The second method uses the Hough Transform (HT) and MMto segment the handwriting Arabic script called HT-MM. These methods are applied in two levels of segmentation: text lines and Pieces of Words. The two proposed methods are evaluated and compared to a set of documents selected from three databases: IFN/ENIT-database (17 documents), BSB (16 documents) and KSU (30 documents) online databases. The average rate line segmentation of MM-OIC is 75%, and of HT-MM is 45%. The average rate of PAW segmentation acheive 89% for the MM-OIC and 70% for the HT-MM method. The efficiency of the MM-OIC method is explained by the fact that this method can extract the approximate form of writing, and sometimes it can exceed some problems that are related to the Arabic script such as the overlapping lines and diacratical symbols.

Paper Citation

in Harvard Style

Ghazouani F., Snoussi Maddouri S. and Bouafif Samoud F. (2014). Comparative Study of Two Segmentation Methods of Handwritten Arabic Text - MM-OIC and HT-MM . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 528-535. DOI: 10.5220/0004764205280535

in Bibtex Style

@conference{icpram14,
author={Fethi Ghazouani and Samia Snoussi Maddouri and Fadoua Bouafif Samoud},
title={Comparative Study of Two Segmentation Methods of Handwritten Arabic Text - MM-OIC and HT-MM},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={528-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004764205280535},
isbn={978-989-758-018-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Comparative Study of Two Segmentation Methods of Handwritten Arabic Text - MM-OIC and HT-MM
SN - 978-989-758-018-5
AU - Ghazouani F.
AU - Snoussi Maddouri S.
AU - Bouafif Samoud F.
PY - 2014
SP - 528
EP - 535
DO - 10.5220/0004764205280535