Authentication and Tamper Detection of Digital Holy Quran Images

• Published in: 2013 International Symposium on Biometrics and Security Technologies pp. 291 - 296
• Main Authors: Kurniawan, Fajri, Khalil, Mohammed S., Khan, Muhammad Khurram, Alginahi, Yasser M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2013
• Subjects: Authentication; Fragile watermarking; Holy Quran; Image coding; PSNR; Tamper detection; Transform coding; Watermarking; Wavelet coefficients; Wavelet domain
• DOI: 10.1109/ISBAST.2013.51

This paper introduces a novel fragile watermarking method for digital Quran image authentication and tamper identification. The presented scheme utilizes discrete wavelet transform (DWT) and can locate the pixels of malicious tampering if present. The wavelet coefficients are considered for embedding authentication code that are encrypted with a secret key, ensuring high security. The authentication binary code is embedded in a block of wavelet coefficients. The experimental results show that the proposed method can retain the image quality after watermarking process with minimum watermark payload and can achieve promising tampering detection. The watermark is secure against local attacks because it is encrypted using secret key. We have also performed experiments to exhibit the fragility of the watermark against known attacks.