Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform

Abstract

A crucial task in character recognition systems is the segmentation of the document into text lines and especially if it is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater since in addition to the variability of writing, the presence of diacritical points and the high number of ascender and descender characters complicates more the process of the segmentation. To remedy with this complexity and even to make this difficulty an advantage since the focus is on the Arabic language which is semi-cursive in nature, a method based on the Watershed Transform technique is proposed. Tested on «Handwritten Arabic Proximity Datasets» a segmentation rate of 93% for a 95% of matching score is achieved.

Authors and Affiliations

Abdelghani Souhar, Youssef Boulid, El Bachir Ameur, Mly. M. Ouagague

Keywords

Related Articles

A System to Generate SignWriting for Video Tracks Enhancing Accessibility of Deaf People

Video content has increased much on the Internet during last years. In spite of the efforts of different organizations and governments to increase the accessibility of websites, most multimedia content on the Internet is...

Distributed Search Systems with Self-Adaptive Organizational Setups

This paper studies the effects of learning-induced alterations of distributed search systems’ organizations. In particular, scenarios where alterations of the search-systems’ organizational setup are based on a form of r...

A Novel Hybrid Approach for Fast Block Based Motion Estimation

The current work presents a novel hybrid approach for motion estimation of various video sequences with a purpose to speed up the entire process without affecting the accuracy. The method integrates the dynamic Zero moti...

A MAS-Based Cloud Service Brokering System to Respond Security Needs of Cloud Customers

Cloud computing is becoming a key factor in computer science and an important technology for many organizations to deliver different types of services. The companies which provide services to customers are called as clou...

Comparison of Feedforward Network and Radial Basis Function to Detect Leukemia

Leukemia is a fast growing cancer also called as blood cancer. It normally originates near bone marrow. The need for automatic leukemia detection system rises ever since the existing working methods include labor-intensi...

Download PDF file
  • EP ID EP330385
  • DOI 10.9781/ijimai.2017.08.002
  • Views 188
  • Downloads 0

How To Cite

Abdelghani Souhar, Youssef Boulid, El Bachir Ameur, Mly. M. Ouagague (2017). Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform. International Journal of Interactive Multimedia and Artificial Intelligence, 4(6), 96-102. https://europub.co.uk/articles/-A-330385