Payload Capacity Scheme for Quran Text Watermarking Based on Vowels with Kashida

نویسندگان

چکیده

The most sensitive Arabic text available online is the digital Holy Quran. This sacred Islamic religious book recited by all Muslims worldwide including non-Arabs as part of their worship needs. Thus, it should be protected from any kind tampering to keep its invaluable meaning intact. Different characteristics letters like vowels (), Kashida (extended letters), and other symbols in Quran must secured alterations. cover watermarked are different due low values Peak Signal Noise Ratio (PSNR) Embedding (ER). A watermarking technique with enhanced attributes must, therefore, designed for Quran’s using kashida. gap addressed this paper improve security purpose enhance scheme based on a reversing technique. methodology consists four phases: first phase pre-processing followed second phase-the embedding process phase—which will hide data after vowels. That is, if secret bit “1”, then kashida inserted; however, not inserted “0”. third extraction last evaluate performance proposed PSNR (for imperceptibility) ER capacity). experimental results show that method imperceptibility insertion also optimized help algorithm. strategy obtains 90.5% capacity. Furthermore, algorithm attained 66.1% which referred imperceptibility.

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ژورنال

عنوان ژورنال: Computers, materials & continua

سال: 2021

ISSN: ['1546-2218', '1546-2226']

DOI: https://doi.org/10.32604/cmc.2021.015803