Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran
Recognition by segmentation of Arabic characters on scanned images has enabled many applications such as recognition for characters in certain volume of documents, automatic sorting of postal mail (in certain countries) and convenient editing of previously printed documents. This paper provides a co...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/65814/1/65814.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uitm-ir.65814 |
---|---|
record_format |
uketd_dc |
spelling |
my-uitm-ir.658142022-09-26T07:11:28Z Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran 2009 Amran, Mohd Firdaus Study and teaching Language of the Qurʼan Recognition by segmentation of Arabic characters on scanned images has enabled many applications such as recognition for characters in certain volume of documents, automatic sorting of postal mail (in certain countries) and convenient editing of previously printed documents. This paper provides a comprehensive review of method in segmenting focusing on source of one main document that is Al-Quran. Quran in Islamic definition is the sacred writings of Islam revealed by God to the prophet Muhammad during his life at Mecca and Medina [1]. It has been written in Arabic as it was developed in that region. As Islam in become one of the biggest religious in the globe is known have many race in different country that believe as their manual of life. Research will provide segmentation rates and description of algorithm for the approaches discussed. It describes background on the field, discussion of the methods, and future research directions. 2009 Thesis https://ir.uitm.edu.my/id/eprint/65814/ https://ir.uitm.edu.my/id/eprint/65814/1/65814.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Ismail, Marina |
institution |
Universiti Teknologi MARA |
collection |
UiTM Institutional Repository |
language |
English |
advisor |
Ismail, Marina |
topic |
Study and teaching Language of the Qurʼan |
spellingShingle |
Study and teaching Language of the Qurʼan Amran, Mohd Firdaus Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran |
description |
Recognition by segmentation of Arabic characters on scanned images has enabled many applications such as recognition for characters in certain volume of documents, automatic sorting of postal mail (in certain countries) and convenient editing of previously printed documents. This paper provides a comprehensive review of method in segmenting focusing on source of one main document that is Al-Quran. Quran in Islamic definition is the sacred writings of Islam revealed by God to the prophet Muhammad during his life at Mecca and Medina [1]. It has been written in Arabic as it was developed in that region. As Islam in become one of the biggest religious in the globe is known have many race in different country that believe as their manual of life. Research will provide segmentation rates and description of algorithm for the approaches discussed. It describes background on the field, discussion of the methods, and future research directions. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Amran, Mohd Firdaus |
author_facet |
Amran, Mohd Firdaus |
author_sort |
Amran, Mohd Firdaus |
title |
Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran |
title_short |
Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran |
title_full |
Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran |
title_fullStr |
Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran |
title_full_unstemmed |
Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran |
title_sort |
recognizing arabic alphabet by segmentation in quran document / mohd firdaus amran |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Computer and Mathematical Sciences |
publishDate |
2009 |
url |
https://ir.uitm.edu.my/id/eprint/65814/1/65814.pdf |
_version_ |
1783735579572174848 |