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Neural network based biometric personal identification with fast iris segmentation

  • Rahib Hidayat Abiyev
  • Koray Altunkaya
Article

Abstract

This paper presents the iris recognition system for biometric personal identification using neural network. Personal identification consists of localization of the iris region and generation of a data set of iris images followed by iris pattern recognition. In this paper, a fast algorithm is proposed for the localization of the inner and outer boundaries of the iris region. Located iris is extracted from an eye image, and, after normalization and enhancement, it is represented by a data set. Using this data set a Neural Network (NN) is used for the classification of iris patterns. The adaptive learning strategy is applied for training of the NN. The results of simulations illustrate the effectiveness of the neural system in personal identification.

Keywords

Biometric personal identification iris localization iris recognition neural network 

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Copyright information

© The Institute of Control, Robotics and Systems Engineers and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg GmbH 2009

Authors and Affiliations

  1. 1.Department of Computer EngineeringNear East UniversityLefkosaNorth Cyprus

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