Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform
Journal Title: International Journal of Interactive Multimedia and Artificial Intelligence - Year 2017, Vol 4, Issue 6
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
- EP ID EP330385
- DOI 10.9781/ijimai.2017.08.002
- Views 162
- Downloads 0
Analysis of Security Mechanisms Based on Clusters IoT Environments
Internet of things is based on sensors, communication networks and intelligence that manages the entire process and the generated data. Sensors are the senses of systems, because of this, they can be used in large quanti...
Heuristics Considering UX and Quality Criteria for Heuristics
Heuristic evaluation is a cheap tool with which one can take qualitative measures of a product’s usability. However, since the methodology was first presented, the User Experience (UX) has become more popular but the heu...
Construction of a Benchmark for the User Experience Questionnaire (UEQ)
Questionnaires are a cheap and highly efficient tool for achieving a quantitative measure of a product’s user experience (UX). However, it is not always easy to decide, if a questionnaire result can really show whether a...
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...
Difusion-Weighted MRI: from Brownian Motion to Head&Neck Tumor Characterization
This paper describes basic physics as well as clinical applications of diffusion-weighted magnetic resonance imaging. This is a technique that provides complementary information to conventional imaging sequences and it i...