Affine transform resilient image fingerprinting

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.

[1]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[2]  Ramarathnam Venkatesan,et al.  New Iterative Geometric Methods for Robust Perceptual Image Hashing , 2001, Digital Rights Management Workshop.

[3]  Ramarathnam Venkatesan,et al.  Robust image hashing , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[4]  Fabien A. P. Petitcolas,et al.  Watermarking schemes evaluation , 2000, IEEE Signal Process. Mag..

[5]  Jiri Fridrich,et al.  Robust bit extraction from images , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[6]  Shih-Fu Chang,et al.  A robust content based digital signature for image authentication , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[7]  Jean-Didier Legat,et al.  RASH: RAdon soft hash algorithm , 2002, 2002 11th European Signal Processing Conference.

[8]  Alfred Menezes,et al.  Handbook of Applied Cryptography , 2018 .

[9]  Ton Kalker,et al.  A Highly Robust Audio Fingerprinting System , 2002, ISMIR.