Multiform Frame Shape Extraction Using Neighbouring Pixel Be-Haviors For Mushaf Al-Quran

Radzid, Amirul Ramzani and Azmi, Mohd Sanusi and A. Jalil, Intan Ermahani and Nordin, Radzuan and Arbain, Nur Atikah (2019) Multiform Frame Shape Extraction Using Neighbouring Pixel Be-Haviors For Mushaf Al-Quran. International Journal of Advanced Trends in Computer Science and Engineering, 8 (1.3). 251 - 256. ISSN 2278-3091

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Abstract

Page decoration removal in the Al-Quran is an important step in document processing. One of the challenging parts of Al-Quran text recognition area is text extraction from its decorated page. Al-Quran decorations contain different patterns and textures depending on the Mushaf. In this paper, we propose a novel approach based on neighbouring properties by analysing the binary image page of current neighbouring pixels of point. This paper will focus on how to extract Al-Quran text from its decorative illumination frame. The accuracy of the result of the proposed algorithm depends on the noise of the images. The proposed method may contribute to the development of applications related to Optical Character Recognition (OCR).

Item Type: Article
Uncontrolled Keywords: Clustering of Al-Quran decoration, Detection of Al-Quran decoration, Extraction of Al-Quran text, Pattern recognition of Mushaf Al-Quran decoration, Text segmentation
Divisions: Faculty of Information and Communication Technology
Depositing User: Sabariah Ismail
Date Deposited: 28 Oct 2020 11:07
Last Modified: 28 Oct 2020 11:07
URI: http://eprints.utem.edu.my/id/eprint/24349
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