Reliable algorithm for iris segmentation in eye image

Authors:
Wojciech Sankowski;Kamil Grabowski;Małgorzata Napieralska;Mariusz Zubert;Andrzej Napieralski
Affiliations:
Technical University of Lodz, Department of Microelectronics and Computer Science, Wolczanska 221/223, 90-924 Lodz, Poland;Technical University of Lodz, Department of Microelectronics and Computer Science, Wolczanska 221/223, 90-924 Lodz, Poland;Technical University of Lodz, Department of Microelectronics and Computer Science, Wolczanska 221/223, 90-924 Lodz, Poland;Technical University of Lodz, Department of Microelectronics and Computer Science, Wolczanska 221/223, 90-924 Lodz, Poland;Technical University of Lodz, Department of Microelectronics and Computer Science, Wolczanska 221/223, 90-924 Lodz, Poland
Venue:
Image and Vision Computing
Year:
2010

Citing 5
Cited 3

Digital image processing (2nd ed.)

Digital image processing (2nd ed.)
High Confidence Visual Recognition of Persons by a Test of Statistical Independence

IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable and Fast Eye Finding in Close-up Images

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
UBIRIS: a noisy iris image database

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
How iris recognition works

IEEE Transactions on Circuits and Systems for Video Technology

A reliable iris recognition algorithm based on reverse biorthogonal wavelet transform

Pattern Recognition Letters
Iris localization in frontal eye images for less constrained iris recognition systems

Digital Signal Processing
Feature extraction for different distances of visible reflection iris using multiscale sparse representation of local Radon transform

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper presents a novel algorithm for iris segmentation in eye images taken under visible and near infrared light. The proposed approach consists of the following stages: reflections localization, reflections filling in, iris boundaries localization and eyelids boundaries localization. Here, each of these stages is detailed. Authors' solution obtained the second rank in the ''Noisy Iris Challenge Evaluation - Part I'' contest, in which all iris segmentation algorithms submitted to the contest were evaluated and compared.