Image hashing secured with chaotic sequences

This paper presents an image hashing algorithm using robust features from jointed frequency domains. Extracted features are enciphered using a secure chaotic system. The proposed hashing scheme is robust to JPEG compression with low quality factors. This scheme also withstands several image processing attacks such us filtering, noise addition and some geometric transforms. All attacks were conducted using Checkmark benchmark. A detailed analysis was conducted on a set of 3000 color and gray images from three different image databases. The security of the method is assured by the robustness of the chaotic PRNG and the secrecy of the cryptographic key.