Framework of page segmentation for Mushaf Al-Quran based on multiphase level segmentation

Radzid, Amirul Ramzani and Azmi, Mohd Sanusi and A. Jalil, Intan Ermahani and Draman @ Muda, Azah Kamilah and Melhem, Laith Bany and Arbain, Nur Atikah (2018) Framework of page segmentation for Mushaf Al-Quran based on multiphase level segmentation. International Journal of Computer Information Systems and Industrial Management Applications, 10. 028-037. ISSN 2150-7988

Text IJCISIM_Amirul.pdf Download (2MB)

Abstract

This paper presents the framework of page segmentation for Mushaf Al-Quran based on Multiphase Level Segmentation (MLS). This study focuses to (a) extract multiform frame shape by using a novel technique Neighbouring Pixel Behaviors (NPB) and (b) segment text line by using a novel technique which is Hybrid Projection Based Neighbouring Properties (HPBNP). Since Mushaf Al-Quran pages are decorated with a different type of pattern and design of a decorative frame. Thus, the decoration frame must be properly to extract out from a page of Mushaf Al-Quran first before properly get only the text of Mushaf Al-Quran regardless of its decoration heterogeneity. Therefore, NPB technique was proposed to remove multiform frame shape from the page of Mushaf Al-Quran. While the text of Mushaf Al-Quran has a several of diacritical marks, hence it will block the process of segmenting text line. Therefore, HPBNP technique was proposed for segment overlapping text line that interfered by diacritical marks or the stroke of the Arabic word. Experimental results of the proposed technique is shown in this paper.

Item Type:	Article
Uncontrolled Keywords:	Page segmentation, Frame extraction, Extraction Mushaf Al-Quran decoration, Mushaf Al-Quran text segmentation, Line segmentation
Subjects:	T Technology > T Technology (General) T Technology > TS Manufactures
Divisions:	Faculty of Information and Communication Technology > Department of Software Engineeering
Depositing User:	Mohd. Nazir Taib
Date Deposited:	11 Feb 2019 07:42
Last Modified:	16 Aug 2023 14:19
URI:	http://eprints.utem.edu.my/id/eprint/21620
Statistic Details:	View Download Statistic

Actions (login required)

View Item