Fourier-Mellin Transform and Fractal Coding for Secure and Robust Fingerprint Image Hashing

In this paper, we propose a novel scheme for generating a secure and robust hash using Fourier-mellin transform and fractal coding. First, Fourier-mellin transform is incorporated into the domain minutiae blocks due to its invariance property in order to improve performance under geometric operations, hence generating a fixed-length minutiae representation. Then the property of dimensionality reduction and texture compression is exploited using fractal coding in order to generate a robust and compact hash. To secure the system, encryption is performed on the extracted hash using a secret key. Experimental results demonstrated the robustness of our hashing scheme to a wide range of distortion manipulations. Additionally, performance of the proposed scheme is measured and compared with recent state-of-art techniques, and our scheme generally outperform the others.