DocumentCode :
651863
Title :
Fourier-Mellin transform for Robust Image Hashing
Author :
Prungsinchai, Supakorn ; Khelifi, Fouad ; Bouridane, Ahmed
Author_Institution :
Fac. of Eng. & Environ., Northumbria Univ., Newcastle upon Tyne, UK
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
58
Lastpage :
61
Abstract :
This paper proposes a new perceptual image hashing technique based on the Fourier-Mellin Transform (FMT). The idea consists of exploiting the invariance property of the FMT to extract robust hashes using overlapping blocks in the transform domain. To secure the system, two secrete keys are used in different stages. The results show good robustness against signal processing operations and geometric attacks including translation and rotation and demonstrate the superiority of the proposed technique over related transform based hashing techniques.
Keywords :
computational geometry; cryptography; feature extraction; transforms; FMT; Fourier-Mellin transform; geometric attacks; invariance property; overlapping blocks; robust hash extraction; robust image hashing; rotation; signal processing operations; translation; Feature extraction; Image coding; Robustness; Security; Signal processing; Signal processing algorithms; Transforms; Fourier-Mellin Transform; Image hashing; Robustness; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Security Technologies (EST), 2013 Fourth International Conference on
Conference_Location :
Cambridge
Type :
conf
DOI :
10.1109/EST.2013.17
Filename :
6680187
Link To Document :
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