Feature based iris recognition system functioning on extraction of 2D features

Author

Agrawal, Arjun ; Bindra, Gundeep Singh ; Sharma, Priyanka

Author_Institution

Infosys Ltd., Bangalore, India

fYear

2012

fDate

17-19 Oct. 2012

Firstpage

1

Lastpage

5

Abstract

In this paper a novel and simple iris feature extraction technique is proposed for iris recognition of high performance. We use one dimensional circular ring to represent iris features. The reduced and significant features afterward are extracted by Sobel Operator and 1-D wavelet transform. To improve the accuracy, this paper combines uses Euclidean Distance for classification.

Keywords

feature extraction; geometry; image classification; iris recognition; particle swarm optimisation; wavelet transforms; 1-D wavelet transform; 2D features; Euclidean distance; Sobel operator; feature based iris recognition system; image classification; iris feature extraction technique; one dimensional circular ring; particle swarm optimization; reduced features; significant features; Feature extraction; Filter banks; Image segmentation; Iris recognition; Multiresolution analysis; Wavelet transforms; iris recognition; particle swarm optimization; probabilistic neural network; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Application of Information and Communication Technologies (AICT), 2012 6th International Conference on

Conference_Location

Tbilisi

Print_ISBN

978-1-4673-1739-9

Type

conf

DOI

10.1109/ICAICT.2012.6398476

Filename

6398476