loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jeovane Honório Alves 1 ; Gilson Antonio Giraldi 2 and Luiz Antônio Pereira Neves 1

Affiliations: 1 Federal University of Paraná - UFPR, Brazil ; 2 National Laboratory for Scientific Computing - LNCC, Brazil

Keyword(s): Iris Segmentation, Digital Image Processing, Mathematical Morphology.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Generation Pipeline: Algorithms and Techniques ; Segmentation and Grouping

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.14.166.224

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 90-93. DOI: 10.5220/0004303700900093

@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 (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={90-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004303700900093},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - A Faster Method Aiming Iris Extraction
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Alves, J.
AU - Giraldi, G.
AU - Pereira Neves, L.
PY - 2013
SP - 90
EP - 93
DO - 10.5220/0004303700900093
PB - SciTePress