DocumentCode :
3017953
Title :
Authentication and Tamper Detection of Digital Holy Quran Images
Author :
Kurniawan, Fajri ; Khalil, Mohammed S. ; Khan, Muhammad Khurram ; Alginahi, Yasser M.
Author_Institution :
Center of Excellence Inf. Assurance, King Saud Univ., Riyadh, Saudi Arabia
fYear :
2013
fDate :
2-5 July 2013
Firstpage :
291
Lastpage :
296
Abstract :
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.
Keywords :
cryptography; discrete wavelet transforms; image watermarking; DWT; authentication binary code; digital holy Quran image authentication; digital holy Quran image tamper detection; discrete wavelet transform; embedding authentication code; encryption; fragile watermarking method; image quality; local attacks; malicious tampering pixel; secret key; tamper identification; watermark payload; wavelet coefficients; Authentication; Image coding; PSNR; Transform coding; Watermarking; Wavelet coefficients; Wavelet domain; Authentication; Fragile watermarking; Holy Quran; Tamper detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics and Security Technologies (ISBAST), 2013 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-5010-7
Type :
conf
DOI :
10.1109/ISBAST.2013.51
Filename :
6597705
Link To Document :
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