Description

Abstract

In this paper, we have proposed a robust image hashing based on ring partition and NMF, which is robust against image rotation and has a desirable discriminative capability. This paper designs an efficient image hashing with a ring partition and a non-negative matrix factorization (NMF), which is with both the rotation robustness and good discriminative capability. The key contribution is a novel construction of rotation-invariant secondary image, which is used for the image hashing and helps to make image hash resistant to rotation. And also the, NMF coefficients are approximately calculated for comparing the images, so as to measure hash similarity with correlation coefficient. And also show that the proposed hashing is robust against content-preserving operations, such as image rotation, JPEG compression, brightness adjustment, contrast adjustment and image scaling are also analyzed and provide better results, and demonstrate that the proposed hashing is much better than all these algorithms in classification performances with respect to robustness and discrimination.