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A novel dataset for quranic words identification and authentication
Thabit Sabbah1, Ali Selamat2.
Quran is the holy book for Muslims around the world. For the past fourteen centuries after
its revelation, ithas been preserved in all possible ways from any distortions. The huge
increase in Internet usage and the spread of digital media lead to the development of
many websites, services, and applications related to Quran. These efforts include the
conversion of Quranic verses, translations, explanations,tafseer and other Quranic
sciences into digital formats. Some of these efforts are foundless authentic. The
authentication dependson correct identification of Quranic words in the text. In this paper,
we introduce a novel dataset for Quranic words identification and authentication. The
proposed dataset contains more than 93,000 samples with64 features for each extracted
in numerical form.The validation tests of the proposed dataset resulted high accuracy
average.
Affiliation:
- Universiti Teknologi Malaysia, Malaysia
- Universiti Teknologi Malaysia, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
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0 |
Indexed by |
Scopus 2020 |
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CiteScore (1.4) |
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Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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