System Design of Iris Ring Detection Using Circular Hough Algorithm for Iris Localization

DOI

10.2991/aisr.k.200424.071How to use a DOI?

Keywords

preprossesing, circular Hough transformation, region of interest, OpencvCV, grayscalling

Abstract

Iris is the part of the eye that can expand and shrink depending on the intensity of light entering the eye. Iris can be used as a feature or parameter that can be studied in terms of both health and information technology. Detecting the iris in this paper, are separated into two main stages: preprocessing stage and iris detection stage which uses circular Hough transformation (CHT) algorithm), on the preprocessing image frame, the captured image will be cropped first, using ROI(region of interest) then grayscalling will take place on detection in edge detection with Canny operator, this is done in order to optimize circular Hough transformation (CHT) algorithm application in detection of iris, then in the second phase it will implement the results of applying the circular Hough transformation (CHT) algorithm with and without the OpenCV library.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - ABDURAHMAN
AU  - SUTARNO
AU  - Rossi PASSARELLA
AU  - Yosef PRIHANTO
AU  - Rudy A.G GULTOM
PY  - 2020
DA  - 2020/05/06
TI  - System Design of Iris Ring Detection Using Circular Hough Algorithm for Iris Localization
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 459
EP  - 466
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.071
DO  - 10.2991/aisr.k.200424.071
ID  - 2020
ER  -