Shape-based features for image hashing

Authors:
Li Weng;Bart Preneel
Affiliations:
Department of Electrical Engineering, IBBT, Katholieke Universiteit Leuven, Heverlee, Belgium;Department of Electrical Engineering, IBBT, Katholieke Universiteit Leuven, Heverlee, Belgium
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 3
Cited 1

Robust and secure image hashing

IEEE Transactions on Information Forensics and Security
Fast and efficient method for computing ART

IEEE Transactions on Image Processing
MPEG-7 visual shape descriptors

IEEE Transactions on Circuits and Systems for Video Technology

A secure perceptual hash algorithm for image content authentication

CMS'11 Proceedings of the 12th IFIP TC 6/TC 11 international conference on Communications and multimedia security

Quantified Score

Hi-index	0.00

Visualization

Abstract

Perceptual hashing is a solution for identification and authentication of multimedia content. The key of this technique is the extraction of proper features. In this paper, two features are proposed for natural image hashing. They are based on the description of shapes, in terms of contours and regions. The contour-based feature is formed by edge detection. The region-based feature is formed by the angular radial transform. Simulation results show that they have good robustness and discriminability. Compared to some other features, better ROC performance is achieved.