Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.

Arabic script is highly sensitive to changes in meaning with respect to the accurate arrangement of diacritics and other related symbols. The most sensitive Arabic text available online is the Digital Qur'an, the sacred book of Revelation in Islam that all Muslims including non-Arabs recite as...

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Main Authors: Saqib Hakak, Amirrudin Kamsin, Shivakumara Palaiahnakote, Omar Tayan, Mohd Yamani Idna Idris, Khir Zuhaili Abukhir
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6010264?pdf=render
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spelling doaj-58152e74e6ad49108529d6b568d4d8a42020-11-24T21:52:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01136e019828410.1371/journal.pone.0198284Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.Saqib HakakAmirrudin KamsinShivakumara PalaiahnakoteOmar TayanMohd Yamani Idna IdrisKhir Zuhaili AbukhirArabic script is highly sensitive to changes in meaning with respect to the accurate arrangement of diacritics and other related symbols. The most sensitive Arabic text available online is the Digital Qur'an, the sacred book of Revelation in Islam that all Muslims including non-Arabs recite as part of their worship. Due to the different characteristics of the Arabic letters like diacritics (punctuation symbols), kashida (extended letters) and other symbols, it is written and available in different styles like Kufi, Naskh, Thuluth, Uthmani, etc. As social media has become part of our daily life, posting downloaded Qur'anic verses from the web is common. This leads to the problem of authenticating the selected Qur'anic passages available in different styles. This paper presents a residual approach for authenticating Uthmani and plain Qur'an verses using one common database. Residual (difference) is obtained by analyzing the differences between Uthmani and plain Quranic styles using XOR operation. Based on predefined data, the proposed approach converts Uthmani text into plain text. Furthermore, we propose to use the Tuned BM algorithm (BMT) exact pattern matching algorithm to verify the substituted Uthmani verse with a given database of plain Qur'anic style. Experimental results show that the proposed approach is useful and effective in authenticating multi-style texts of the Qur'an with 87.1% accuracy.http://europepmc.org/articles/PMC6010264?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Saqib Hakak
Amirrudin Kamsin
Shivakumara Palaiahnakote
Omar Tayan
Mohd Yamani Idna Idris
Khir Zuhaili Abukhir
spellingShingle Saqib Hakak
Amirrudin Kamsin
Shivakumara Palaiahnakote
Omar Tayan
Mohd Yamani Idna Idris
Khir Zuhaili Abukhir
Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.
PLoS ONE
author_facet Saqib Hakak
Amirrudin Kamsin
Shivakumara Palaiahnakote
Omar Tayan
Mohd Yamani Idna Idris
Khir Zuhaili Abukhir
author_sort Saqib Hakak
title Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.
title_short Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.
title_full Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.
title_fullStr Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.
title_full_unstemmed Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.
title_sort residual-based approach for authenticating pattern of multi-style diacritical arabic texts.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description Arabic script is highly sensitive to changes in meaning with respect to the accurate arrangement of diacritics and other related symbols. The most sensitive Arabic text available online is the Digital Qur'an, the sacred book of Revelation in Islam that all Muslims including non-Arabs recite as part of their worship. Due to the different characteristics of the Arabic letters like diacritics (punctuation symbols), kashida (extended letters) and other symbols, it is written and available in different styles like Kufi, Naskh, Thuluth, Uthmani, etc. As social media has become part of our daily life, posting downloaded Qur'anic verses from the web is common. This leads to the problem of authenticating the selected Qur'anic passages available in different styles. This paper presents a residual approach for authenticating Uthmani and plain Qur'an verses using one common database. Residual (difference) is obtained by analyzing the differences between Uthmani and plain Quranic styles using XOR operation. Based on predefined data, the proposed approach converts Uthmani text into plain text. Furthermore, we propose to use the Tuned BM algorithm (BMT) exact pattern matching algorithm to verify the substituted Uthmani verse with a given database of plain Qur'anic style. Experimental results show that the proposed approach is useful and effective in authenticating multi-style texts of the Qur'an with 87.1% accuracy.
url http://europepmc.org/articles/PMC6010264?pdf=render
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