One of the early tasks in a handwriting recognition system is the segmentation of a handwritten document that is imaged into text lines, which is the process of defining the region of every text line on a document’s image. In this paper, the focus is in the text-line segmentation
of mushaf holy Quran. Thus, Segmentation of the mushaf holy Quran is based on the processes of segmenting the Arabic/Jawi handwritten texts. Any incorrect segmentation will affect the holiness of the Quran. In this study, a novel algorithm was proposed for detecting the text line on the Quran
pages. The research aim is to segment the Quran pages to text line images without any changes on the content. Firstly, pre-processing that was applied includes binarization. Then, the Quran pages were segmented to the text line. The experimental results on several of the Quran pages from different
Al-Quran styles demonstrate the effectiveness of the proposed technique.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
Binarization Text Line;
Document Type: Research Article
Faculty of Information and Communication Technology (FTMK), Universiti Teknikal Malaysia, Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
Bait Eedess Elementary Boys School, Irbid, Jordan
Albalqa Applied University, Alsalt, Jordan
Publication date: November 1, 2017
More about this publication?
ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Ingenta Connect is not responsible for the content or availability of external websites