Islam, Md. Milon and Kabir, M. Nomani and Sadi, Muhammad Sheikh and Morsalin, Md. Istiak and Haque, Ahsanul and Wang, Jing (2020) A novel approach towards tamper detection of digital holy Quran generation. In: 5th International Conference On Electrical, Control And Computer Engineering (INECCE2019) , 29-30 July 2019 , Kuantan, Pahang, Malaysia. pp. 297-308., 632. ISSN 1876-1100
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Abstract
Quran phrases are found in many Arabic websites. Lamentably, many mistakes and typos appear on most of the websites embedded with Quran texts. Therefore, it becomes very difficult to recognize the legal document of the religious book, whether the online document is tampered or not. Hence, verifying the Quran expression has become a crucial issue for most of the online users who read the digital copy. We propose a novel approach for the tamper detection of a digital document of the Holy Quran. We have implemented a desktop application, having modified UI that utilizes Jaro-Winkler distance and Difflib function as String Edit distance algorithm to highlight the words in the Holy Quran for the verification purpose. A reliable and trustworthy Quran database was taken for testing. The results obtained from the application show higher performance. The system achieved the detection accuracy of 95.9% and 95% by Jaro-Winkler and Difflib, respectively along with the precision of 93.29% and 96% in the case of diacritics. Additionally, F-score is 93.22% and 96.41% obtained by Jaro-Winkler and Difflib, respectively in the case of no diacritics.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Quran expression; Quran verification; Quran words; String matching edit distance algorithm; Jaro-Winkler distance |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Faculty/Division: | Faculty of Computing |
Depositing User: | Dr. Muhammad Nomani Kabir |
Date Deposited: | 24 Sep 2020 01:19 |
Last Modified: | 24 Sep 2020 01:19 |
URI: | http://umpir.ump.edu.my/id/eprint/29300 |
Download Statistic: | View Download Statistics |
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