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H. Tabatabaee, A. Milani-Fard and H. Jafariani, “A Novel Human Identifier System Using Retina Image and Fuzzy Clustering Approach,” Proceedings of the 2nd IEEE International Conference on Information and Communication Technologies (ICTTA06), Damascus, April 2006, pp. 1031-1036.

has been cited by the following article:

• TITLE: Retinal Identification System Based on the Combination of Fourier and Wavelet Transform

  AUTHORS: Masoud Sabaghi, S. Reza Hadianamrei, Mehdi Fattahi, Mohammad Reza Kouchaki, Ali Zahedi

  KEYWORDS: Component; Formatting; Style; Styling; Insert

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.3 No.1, February 28, 2012

  ABSTRACT: Retinal image is one of the robust and accurate biometrics. A new biometric identification system base on combination of Fourier transform and that special partitioning and wavelet transform 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. Angular partitioning with the special structure on magnitude spectrum of retinal image and Wavelet Transform is used for feature definition. Finally we employ Euclidean distance for feature matching. The proposed method applied on a database consist 400 retinal images from 40 persons. In this article noisy and rotate retinal image are used in identification process. 99.1% identification rate can achieve in this proposed method.