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

Volume

3

fYear

2003

fDate

6-10 April 2003

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1199107

Filename

1199107