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

An Effective Hybrid Butterfly Optimization Algorithm with Artificial Bee Colony for Numerical Optimization

In this paper, a new hybrid optimization algorithm which combines the standard Butterfly Optimization Algorithm (BOA) with Artificial Bee Colony (ABC) algorithm is proposed. The proposed algorithm used the advantages of...

Robust Artificial Immune System in the Hopfield network for Maximum k-Satisfiability

Artificial Immune System (AIS) algorithm is a novel and vibrant computational paradigm, enthused by the biological immune system. Over the last few years, the artificial immune system has been sprouting to solve numerous...

Anomaly based Intrusion Detection using Modified Fuzzy Clustering

This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive informa...

Influence of Lymphocyte T CD4 Levels on the Neuropsychological Performance of Population Affected by HIV and with a Previous History of Substance Use

The immunological markers help to know if there is a good recovery of the immunological system in patients infected with HIV. Among them, the lymphocyte T CD4 rate is the main indicator of the patient’s immunological sta...

Diagnosis of Malignant Melanoma of Skin Cancer Types

Malignant melanoma is a kind of skin cancer that begins in melanocytes. It can influence on the skin only, or it may expand to the bones and organs. It is less common, but more serious and aggressive than other types of...

Download PDF file
  • EP ID EP330385
  • DOI 10.9781/ijimai.2017.08.002
  • Views 174
  • 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