Neural network based Iris recognition system using Haralick features

Author

Sundaram, R. Meenakshi ; Dhara, Bibhas Chandra

Author_Institution

Dept. of Inf. Technol., Jadavpur Univ., Kolkata, India

Volume

3

fYear

2011

fDate

8-10 April 2011

Firstpage

19

Lastpage

23

Abstract

Iris recognition has been paid more attentions due to its high reliability in personal identification recently. In this paper, an iris recognition system has been proposed. The steps of the proposed method include iris localization, normalization, feature extraction and matching of the iris pattern. To describe the iris data GLCM based Haralick features are used and for matching purpose probabilistic neural network is employed. Experiments are performed using iris images obtained from UBIRIS database. The method gives 97.00% correct classification rate.

Keywords

feature extraction; image matching; iris recognition; neural nets; GLCM based Haralick feature; gray level co-ocurrence matrix; iris feature extraction; iris localization; iris matching; iris normalization; iris recognition system; probabilistic neural network; Artificial neural networks; Feature extraction; Iris; Iris recognition; Probabilistic logic; Wavelet transforms; Biometric; Haralick features; Iris Recognition; Probabilistic neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Computer Technology (ICECT), 2011 3rd International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4244-8678-6

Electronic_ISBN

978-1-4244-8679-3

Type

conf

DOI

10.1109/ICECTECH.2011.5941793

Filename

5941793