A Faster Method Aiming Iris Extraction

Jeovane Honório Alves, Gilson Antonio Giraldi, Luiz Antônio Pereira Neves

Abstract

In this paper, we present a technique for iris segmentation. The method finds the pupil in the first step. Next, it segments the iris using the pupil location. The proposed approach is based on the mathematical morphology operators of opening and closing, as well as histogram expansion and thresholding. The CASIA Iris Database from the Institute of Automation of the Chinese Academy of Sciences has been used for the tests. Several tests were performed with 200 different images, showing the efficiency of the proposed method.

References

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Paper Citation


in Harvard Style

Alves J., Giraldi G. and Pereira Neves L. (2013). A Faster Method Aiming Iris Extraction . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 90-93. DOI: 10.5220/0004303700900093


in Bibtex Style

@conference{visapp13,
author={Jeovane Honório Alves and Gilson Antonio Giraldi and Luiz Antônio Pereira Neves},
title={A Faster Method Aiming Iris Extraction},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={90-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004303700900093},
isbn={978-989-8565-47-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - A Faster Method Aiming Iris Extraction
SN - 978-989-8565-47-1
AU - Alves J.
AU - Giraldi G.
AU - Pereira Neves L.
PY - 2013
SP - 90
EP - 93
DO - 10.5220/0004303700900093