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A new iris localization method based on the competitive chords

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Abstract

This study introduces a novel iris localization method based on the competitive chords. The new method can be used to detect pupil–iris and iris–sclera boundaries. The basic idea is to construct a set of chords from the left edges and the right edges of the pupil (or iris), and then find the winner chords with aligned centers. The winner chords can be used to vote to the correct pupil’s (or iris’s) center and radius. To verify the effectiveness of the proposed method, it is compared with two efficient techniques and applied to five datasets. The experimental results show that the new method is faster, more accurate and more robust than the state-of-the-art iris localization methods.

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Abbreviations

I :

The eye image

r :

The radius

x :

x coordinate

y :

y coordinate

G σ :

Gaussian smoothing function

l :

The length of the image

w :

The width of the image

P win :

The winner pixel

px :

x coordinate of the winner pixel

py :

y coordinate of the winner pixel

s :

The size of the winner block

ro :

The half length of the pupil processing area

co :

The half width of the pupil processing area

iro :

The half length of the iris processing area

ico :

The half width of the iris processing area

E i -left:

The first left edge in the row i

E i -right:

The first right edge in the row i

cc i :

The coordinate of the ith chord center

ccy win :

The most frequent y coordinate

h :

The half length of a chord

d :

The distance between a chord and the circle’s center

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Authors and Affiliations

  1. Faculty of Science and Information Technology, Computer Science Department, Zarka Private University, P. O. Box 2000, Zarka, 13110, Jordan

    Essam Al-Daoud

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  1. Essam Al-Daoud
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Correspondence to Essam Al-Daoud.

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Al-Daoud, E. A new iris localization method based on the competitive chords. SIViP 6, 547–555 (2012). https://doi.org/10.1007/s11760-010-0183-7

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