FRACTAL FOURIER COEFFICIENTS WITH APPLICATION TO IDENTIFICATION PROTOCOLS
NADIA M. G. AL-SAIDI , ARKAN J. MOHAMMED , ELISHA A. OGADA And ADIL M. AHMED
Abstract

Fourier transform has an important role in most image processing applications where an image is represented in the frequency domain. Rapid evolution of digital images has motivated a growing demand for new and effective techniques that would enhance the security of their storage and transmission. One of the very important mechanisms for preventing unauthorized network access in a computer network system is the authentication process. In this chapter, a new method for the Fourier coefficients estimation is proposed, and used for image identification. It is a new viewpoint to Fourier analysis in fractal space. The estimated Fourier coefficient is defined on a fractal subset in [0,1]m. The proposed method achieves significant improvement in accuracy and reduction of the space complexity.
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