Image Authentication by Content Preserving Robust Image Hashing Using Local and Global Features

Image hashing technique constructs a short sequence from the image to represent its contents. This method proposes an image hash which is generated from Haralick and MOD-LBP features along with luminance and chrominance, which are computed from Zernike moments. Sender generates the hash from image features and attaches it with the image to be sent. The hash is analyzed at the receiver to examine the authenticity of the image. The method detects image forgery and locates the forged regions of the image. The proposed hash is robust to common content preserving modifications and sensitive to malicious manipulations. (C) 2015 The Authors. Published by Elsevier B.V.