Retinal Identification System using Fourier-Mellin Transform and Fuzzy Clustering

Hadi Jafariani  and Hamid Tabatabaee

doi:10.17485/ijst/2014/v7i9.22

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Retinal Identification System using Fourier-Mellin Transform and Fuzzy Clustering

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7i9.22

Year: 2014, Volume: 7, Issue: 9, Pages: 1289–1296

Original Article

Retinal Identification System using Fourier-Mellin Transform and Fuzzy Clustering

Hadi Jafariani¹ and Hamid Tabatabaee^2*

1 Department of Computer Engineering, Islamic Azad University,
2 Young Researchers and Elite Club, Quchan Branch, Islamic Azad University, Quchan, Iran; hamid.tabatabaee@gmail.com Quchan, Iran; hadi_jaafaryani@yahoo.com

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The uniqueness of the retina blood vessels pattern is the most accurate pattern among other biometric systems. In this paper, we present a new approach for human identification using retina recognition and fuzzy C-means clustering algorithm. This method is insensitive to rotation, rescaling and transformation. The Fourier-Mellin transform coefficients and moments of the retinal image have been used as features extracted in our system. To compensate the rotational effects of the retinal scanner, a rotation compensator was designed. For optic disc localization, the Haar wavelet and snakes model have been used. The experimental results show an error rate close to zero for the propose method.

Keywords: Fourier-Mellin Transform, Fuzzy Clustering, Haar Wavelet, Identification Systems, Retinal Identification