Comparing and Improving Algorithms for Iris Recognition

Debbie Rankin; BW Scotney; PJ Morrow; R McDowell; BK Pierscionek

doi:10.1109/IMVIP.2009.25

Comparing and Improving Algorithms for Iris Recognition

Debbie Rankin, BW Scotney, PJ Morrow, R McDowell, BK Pierscionek

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

The iris has been proposed as a reliable means of biometric identification. The importance of the iris as a unique identifier is predicated on the assumption that the iris is stable throughout a person's life. This does not take into account the fact that the iris changes in response to a number of external factors including medication, disease, surgery and age and is part of a dynamic optical system that alters with light levels and focussing distance. What is required is a means of identifying the features in the iris which do not alter over time from those that change in response to external factors. Iris segmentation issues and the effects of pupil dilation in identification are examined in this study using existing iris recognition algorithms and a series of images captured from three subjects. A technique that enhances segmentation is presented and discussed.

Original language	English
Title of host publication	Unknown Host Publication
Pages	99-104
Number of pages	6
DOIs	https://doi.org/10.1109/IMVIP.2009.25
Publication status	Published (in print/issue) - Sept 2009
Event	International Machine Vision and Image Processing Conference (IMVIP 2009) - Dublin, Ireland Duration: 1 Sept 2009 → …

Conference

Conference	International Machine Vision and Image Processing Conference (IMVIP 2009)
Period	1/09/09 → …

Access to Document

10.1109/IMVIP.2009.25

Cite this

@inproceedings{58045cb7f35545089bd9be86010c7ff8,

title = "Comparing and Improving Algorithms for Iris Recognition",

abstract = "The iris has been proposed as a reliable means of biometric identification. The importance of the iris as a unique identifier is predicated on the assumption that the iris is stable throughout a person's life. This does not take into account the fact that the iris changes in response to a number of external factors including medication, disease, surgery and age and is part of a dynamic optical system that alters with light levels and focussing distance. What is required is a means of identifying the features in the iris which do not alter over time from those that change in response to external factors. Iris segmentation issues and the effects of pupil dilation in identification are examined in this study using existing iris recognition algorithms and a series of images captured from three subjects. A technique that enhances segmentation is presented and discussed.",

author = "Debbie Rankin and BW Scotney and PJ Morrow and R McDowell and BK Pierscionek",

year = "2009",

month = sep,

doi = "10.1109/IMVIP.2009.25",

language = "English",

pages = "99--104",

booktitle = "Unknown Host Publication",

note = "International Machine Vision and Image Processing Conference (IMVIP 2009) ; Conference date: 01-09-2009",

}

TY - GEN

T1 - Comparing and Improving Algorithms for Iris Recognition

AU - Rankin, Debbie

AU - Scotney, BW

AU - Morrow, PJ

AU - McDowell, R

AU - Pierscionek, BK

PY - 2009/9

Y1 - 2009/9

N2 - The iris has been proposed as a reliable means of biometric identification. The importance of the iris as a unique identifier is predicated on the assumption that the iris is stable throughout a person's life. This does not take into account the fact that the iris changes in response to a number of external factors including medication, disease, surgery and age and is part of a dynamic optical system that alters with light levels and focussing distance. What is required is a means of identifying the features in the iris which do not alter over time from those that change in response to external factors. Iris segmentation issues and the effects of pupil dilation in identification are examined in this study using existing iris recognition algorithms and a series of images captured from three subjects. A technique that enhances segmentation is presented and discussed.

AB - The iris has been proposed as a reliable means of biometric identification. The importance of the iris as a unique identifier is predicated on the assumption that the iris is stable throughout a person's life. This does not take into account the fact that the iris changes in response to a number of external factors including medication, disease, surgery and age and is part of a dynamic optical system that alters with light levels and focussing distance. What is required is a means of identifying the features in the iris which do not alter over time from those that change in response to external factors. Iris segmentation issues and the effects of pupil dilation in identification are examined in this study using existing iris recognition algorithms and a series of images captured from three subjects. A technique that enhances segmentation is presented and discussed.

UR - http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=5319272

U2 - 10.1109/IMVIP.2009.25

DO - 10.1109/IMVIP.2009.25

M3 - Conference contribution

SP - 99

EP - 104

BT - Unknown Host Publication

T2 - International Machine Vision and Image Processing Conference (IMVIP 2009)

Y2 - 1 September 2009

ER -

Comparing and Improving Algorithms for Iris Recognition

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this