A human identification system based on retinal image processing using partitioned fourier spectrum

Retinal image is one of the robust and accurate biometrics. A new biometric identification system base on Fourier transform and that special partitioning presented in this article. In this method, at first, optical disc is localized using template matching technique and use it for rotate the retinal image to reference position. Fourier transform coefficient and angular partitioning of these coefficients is used for feature definition. Finally we employ Manhattan distance for feature matching. The proposed method applied on a database consist 200 retinal images from 40 persons. In this article noisy and rotate retinal image are used in identification process. %98 identification rate can achieve in this proposed method.