Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran

Amran, Mohd Firdaus (2009) Recognizing Arabic alphabet by segmentation in Quran document / Mohd Firdaus Amran. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

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.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Amran, Mohd Firdaus
2007271942
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ismail, Marina
UNSPECIFIED
Subjects: P Language and Literature > PJ Oriental languages and literatures > Arabic language > Study and teaching
P Language and Literature > PJ Oriental languages and literatures > Arabic language > Language of the Qurʼan
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Computer Science (Hons) Multimedia Computing
Keywords: Quran, Arabic standard, segmentation
Date: 2009
URI: https://ir.uitm.edu.my/id/eprint/65814
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