loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Fethi Ghazouani 1 ; Samia Snoussi Maddouri 2 and Fadoua Bouafif Samoud 1

Affiliations: 1 University of Tunis El Manar, Tunisia ; 2 University of Tunis El Manar and Taibah University, Tunisia

Keyword(s): Arabic Handwriting Documents, Segmentation, Mathematical Morphology, Outer Isothetic Cover, Hough Transform.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Document Analysis and Understanding ; Health Engineering and Technology Applications ; Pattern Recognition ; Signal Processing ; Software Engineering

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. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.238.118.192

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - ICPRAM; ISBN 978-989-758-018-5; ISSN 2184-4313, SciTePress, pages 528-535. DOI: 10.5220/0004764205280535

@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 - ICPRAM},
year={2014},
pages={528-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004764205280535},
isbn={978-989-758-018-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Comparative Study of Two Segmentation Methods of Handwritten Arabic Text - MM-OIC and HT-MM
SN - 978-989-758-018-5
IS - 2184-4313
AU - Ghazouani, F.
AU - Snoussi Maddouri, S.
AU - Bouafif Samoud, F.
PY - 2014
SP - 528
EP - 535
DO - 10.5220/0004764205280535
PB - SciTePress