Title :
Affine transform resilient image fingerprinting
Author :
Seo, Jin S. ; Haitsma, J. ; Kalker, T. ; Yoo, Chang D.
Author_Institution :
Dept. of EECS, KAIST, Daejeon, South Korea
Abstract :
Affine transformations are a well-known robustness issue in many multimedia fingerprinting systems. Since it is quite easy with modem computers to apply affine transformations to audio, image and video content, there is an obvious necessity for affine transformation resilient fingerprinting. We present a new method for affine transformation resilient fingerprints that is based upon the autocorrelation of the Radon transform, the log mapping and the Fourier transform. Besides robustness, we also address issues such as security, database search efficiency and independence with perceptually different inputs. Experimental results show that the proposed fingerprints are highly robust to affine transformations.
Keywords :
Fourier transforms; Radon transforms; cryptography; feature extraction; image processing; Fourier transform; Radon transform; affine transform resilience; autocorrelation; database search efficiency; feature extraction; image fingerprint extraction; image fingerprinting; log mapping; multimedia fingerprinting; robust hash function; security; Autocorrelation; Cryptography; Data security; Digital multimedia broadcasting; Fingerprint recognition; Fourier transforms; Modems; Multimedia systems; Robustness; Watermarking;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1199107