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

Area of Science:

• Computer Science
• Digital Humanities
• Information Security

Background:

• Arabic script's sensitivity to diacritics impacts text meaning, especially in the Digital Qur'an.
• The Digital Qur'an exists in various styles (e.g., Uthmani, plain), complicating authentication.
• Sharing Qur'anic verses online, particularly on social media, raises concerns about text authenticity.

Purpose of the Study:

• To develop a method for authenticating Qur'anic verses presented in different Arabic script styles.
• To ensure the accuracy and integrity of the Digital Qur'an when shared across digital platforms.

Main Methods:

• A residual approach analyzing differences between Uthmani and plain Qur'anic styles using XOR operations.
• Conversion of Uthmani text to plain text based on predefined data.
• Utilizing the Tuned BM (BMT) algorithm for exact pattern matching against a plain Qur'an database.

Main Results:

• The proposed residual method effectively authenticates multi-style Qur'anic texts.
• Achieved an authentication accuracy of 87.1% for Uthmani and plain Qur'an verses.

Conclusions:

• The developed residual approach provides a viable solution for verifying the authenticity of Digital Qur'an passages.
• This method is effective in addressing the challenges of multi-style text authentication in religious digital content.