Iris recognition for biometric personal identification using neural networks

Authors:
Rahib H. Abiyev;Koray Altunkaya
Affiliations:
Near East University, Department of Computer Engineering, Lefkosa, North Cyprus;Near East University, Department of Computer Engineering, Lefkosa, North Cyprus
Venue:
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Year:
2007

Citing 4
Cited 1

Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society

Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns

International Journal of Computer Vision
Personal Identification Based on Iris Texture Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
A human identification technique using images of the iris andwavelet transform

IEEE Transactions on Signal Processing

Adaptive Iris Segmentation

ISA '09 Proceedings of the 3rd International Conference and Workshops on Advances in Information Security and Assurance

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents iris recognition for personal identification using neural networks. Iris recognition system consists of localization of the iris region and generation of data set of iris images and then iris pattern recognition. One of the problems in iris recognition is fast and accurate localization of the iris image. In this paper, fast algorithm is used 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.