Print Email Facebook Twitter Payload Capacity Scheme for Quran Text Watermarking Based on Vowels with Kashida Title Payload Capacity Scheme for Quran Text Watermarking Based on Vowels with Kashida Author Alkhafaji, Ali A.R. (Malaysia University of Technology) Sjarif, Nilam Nur Amir (Malaysia University of Technology) Shahidan, M.A (Malaysia University of Technology) Azmi, Nurulhuda Firdaus Mohd (Malaysia University of Technology) Sarkan, Haslina Md (Malaysia University of Technology) Chuprat, Suriayati (Malaysia University of Technology) Khalaf, Osamah Ibrahim (Al-Nahrain University) Al-Khanak, Ehab Nabiel (TU Delft Transport and Planning) Date 2021 Abstract The most sensitive Arabic text available online is the digital Holy Quran. This sacred Islamic religious book is recited by all Muslims worldwide including non-Arabs as part of their worship needs. Thus, it should be protected from any kind of tampering to keep its invaluable meaning intact. Different characteristics of Arabic letters like the vowels (), Kashida (extended letters), and other symbols in the Holy Quran must be secured from alterations. The cover text of the Quran and its watermarked text are different due to the low values of the Peak Signal to Noise Ratio (PSNR) and Embedding Ratio (ER). A watermarking technique with enhanced attributes must, therefore, be designed for the Quran’s text using Arabic vowels with kashida. The gap addressed by this paper is to improve the security of Arabic text in the Holy Quran by using vowels with kashida. The purpose of this paper is to enhance the Quran text watermarking scheme based on a reversing technique. The methodology consists of four phases: The first phase is a pre-processing followed by the second phase-the embedding process phase—which will hide the data after the vowels. That is, if the secret bit is “1”, then the kashida is inserted; however, the kashida is not inserted if the bit is “0”. The third phase is the extraction process and the last phase is to evaluate the performance of the proposed scheme by using PSNR (for the imperceptibility) and ER (for the capacity). The experimental results show that the proposed method of imperceptibility insertion is also optimized with the help of a reversing algorithm. The proposed strategy obtains a 90.5% capacity. Furthermore, the proposed algorithm attained 66.1% which is referred to as imperceptibility. Subject Arabic textCapacityImperceptibilityKashidaQuran text watermarkingReversing techniqueVowels To reference this document use: http://resolver.tudelft.nl/uuid:5d1ddfc1-5334-4baf-9114-aca5f006ee56 DOI https://doi.org/10.32604/cmc.2021.015803 ISSN 1546-2226 Source CMC Computer, Materials and Continua, 67 (3), 3865-3885 Part of collection Institutional Repository Document type journal article Rights © 2021 Ali A.R. Alkhafaji, Nilam Nur Amir Sjarif, M.A Shahidan, Nurulhuda Firdaus Mohd Azmi, Haslina Md Sarkan, Suriayati Chuprat, Osamah Ibrahim Khalaf, Ehab Nabiel Al-Khanak Files PDF TSP_CMC_41638.pdf 2.82 MB Close viewer /islandora/object/uuid:5d1ddfc1-5334-4baf-9114-aca5f006ee56/datastream/OBJ/view