Neural Network Based Biometric Personal Identification

Author

Abiyev, Rahib H. ; Altunkaya, Koray

Author_Institution

Dept. of Comput. Eng., Near East Univ., Lefkosa

fYear

2007

fDate

11-13 Oct. 2007

Firstpage

682

Lastpage

687

Abstract

This paper presents biometric personal identification based on iris recognition using neural networks. Personal identification system consists of localization of the iris region and generation of data set of iris images and then iris pattern recognition. In this paper, 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 is applied for the classification of iris patterns. Results of simulations illustrate the effectiveness of the neural system in personal identification.

Keywords

biometrics (access control); eye; image classification; image enhancement; image recognition; neural nets; biometric personal identification; eye image; fast algorithm; image enhancement; image representation; iris pattern recognition; iris recognition; neural network; normalization; pattern classification; Biometrics; Data mining; Hamming distance; Humans; Image resolution; Independent component analysis; Iris recognition; Neural networks; Pattern recognition; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007

Conference_Location

Jeju City

Print_ISBN

978-0-7695-2999-8

Type

conf

DOI

10.1109/FBIT.2007.24

Filename

4524187