Paper Info
Title
A reliable iris recognition algorithm based on reverse biorthogonal wavelet transform
Abstract
This article describes an iris recognition algorithm designed to analyze noisy iris biometric data. The methods forming part of the authentication process were developed and optimized by the authors using visible wavelength images of an eye taken under unconstrained conditions (at a different perspectives, illuminations, occlusion grades, etc.), mainly contained in the UBIRIS.v2 database. The whole iris authentication system was submitted by the authors to the International Iris Recognition Contest NICE.II, where it took eighth place, while the iris segmentation stage itself took second place in the previous contest - NICE.I. This paper is focused on the iris feature extraction stage - the method developed by the authors to analyze noisy iris biometric data. Several techniques used for more efficient and robust analysis of such images and issues concerning the best wavelet selection are also presented in this paper.
Year
DOI
Venue
2012
10.1016/j.patrec.2011.08.018
Pattern Recognition Letters
Keywords
Field
DocType
iris recognition algorithm,authentication process,biometric data,iris segmentation stage,noisy iris,whole iris,reverse biorthogonal,authentication system,different perspective,international iris recognition contest,reliable iris recognition algorithm,iris feature extraction stage,iris recognition,biometrics
Biorthogonal wavelet transform,Authentication,Artificial intelligence,Wavelet,Robust analysis,Iris recognition,Computer vision,Pattern recognition,Segmentation,Algorithm,Feature extraction,Biometrics,Mathematics
Journal
Volume
Issue
ISSN
33
8
0167-8655
Citations 
PageRank 
References 
18
0.67
20
Authors
6
Name
Order
Citations
PageRank
R. Szewczyk1180.67
K. Grabowski2180.67
M. Napieralska3522.74
W. Sankowski4624.11
M. Zubert5181.00
A. Napieralski6181.00