Browse By Repository:

 
 
 
   

Illumination removal and text segmnetation for Al-Quran using binary representation

Laith , Nazeeh Jamil Bany Melhem (2015) Illumination removal and text segmnetation for Al-Quran using binary representation. Masters thesis, Universiti Teknikal Malaysia Melaka.

[img] Text
ILLUMINATION REMOVAL AND TEXT SEGMENTATION FOR AL-QURAN USING BINARY REPRESENTATION (24 pgs).pdf

Download (508Kb)

Abstract

Segmentation process for segmenting Al-Quran needs to be studied carefully. This is because Al-Quran is the book of Allah swt. Any incorrect segmentation will affect the holiness of Al-Quran. A major difficulty is the appearance of illumination around text areas as well as of noisy black stripes. In this study, we propose a novel algorithm for detecting the illumination on Al-Quran page. Our aim is to segment Al-Quran pages to pages without illumination, and to segment Al-Quran pages to text line images without any changes on the content. First we apply a pre-processing which includes binarization. Then, we detect the illumination of Al-Quran pages. In this stage, we introduce the vertical and horizontal white percentages which have been proved efficient for detecting the illumination. Finally, the new images are segmented to text line. The experimental results on several Al-Quran pages from different Al-Quran style demonstrate the effectiveness of the proposed technique.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Image processing, Koran
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Tesis > FTMK
Depositing User: Muhammad Afiz Ahmad
Date Deposited: 18 Mar 2016 02:55
Last Modified: 18 Mar 2016 02:55
URI: http://eprints.utem.edu.my/id/eprint/15884

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year