An Extended Image Hashing Concept: Content-Based Fingerprinting Using FJLT. (15th November 2009)

• Record Type: Journal Article
• Authors: Lv, Xudong; Wang, Z. Jane
• Other Names: Bas Patrick Academic Editor.
• Is Part Of: EURASIP journal on information security. Volume 2009(2009)
• Publication Date: 2009-11-15
• Subjects: Computer security -- Periodicals; Computer networks -- Security measures -- Periodicals; Data encryption (Computer science) -- Periodicals; Cryptography -- Periodicals; 005.8
• DOI: 10.1155/2009/859859
• Languages: English
• ISSNs: 1687-417X

Abstract

Abstract : Dimension reduction techniques, such as singular value decomposition (SVD) and nonnegative matrix factorization (NMF), have been successfully applied in image hashing by retaining the essential features of the original image matrix. However, a concern of great importance in image hashing is that no single solution is optimal and robust against all types of attacks. The contribution of this paper is threefold. First, we introduce a recently proposed dimension reduction technique, referred as Fast Johnson-Lindenstrauss Transform (FJLT), and propose the use of FJLT for image hashing. FJLT shares the low distortion characteristics of a random projection, but requires much lower computational complexity. Secondly, we incorporate Fourier-Mellin transform into FJLT hashing to improve its performance under rotation attacks. Thirdly, we propose a new concept, namely, content-based fingerprint, as an extension of image hashing by combining different hashes. Such a combined approach is capable of tackling all types of attacks and thus can yield a better overall performance in multimedia identification. To demonstrate the superior performance of the proposed schemes, receiver operating characteristics analysis over a large image database and a large class of distortions is performed and compared with the state-of-the-art image hashing using NMF.