@article{ART002660843},
author={YongSoo Choi and Jang-Hee Yoo},
title={Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2020},
volume={16},
number={2},
pages={135-142}
TY - JOUR
AU - YongSoo Choi
AU - Jang-Hee Yoo
TI - Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images
JO - Journal of Software Assessment and Valuation
PY - 2020
VL - 16
IS - 2
PB - Korea Software Assessment and Valuation Society
SP - 135
EP - 142
SN - 2092-8114
AB - In this paper, we describe the iris localization method in RGB images. Most of the iris localization methods are developed for infrared images, thus an iris localization method in RGB images is required for various applications. The proposed method consists of four stages: i) detection of the candidate irises using circular Hough transform (CHT) from an input image, ii) detection of a pupil center based on deep learning, iii) determine the iris using the pupil center, and iv) correction of the iris region. The candidate irises are detected in the order of the number of intersections of the center point candidates after generating the Hough space, and the iris in the candidates is determined based on the detected pupil center. Also, the error due to distortion of the iris shape is corrected by finding a new boundary point based on the detected iris center. In experiments, the proposed method has an improved accuracy about 27.4% compared to the CHT method.
KW - iris localization;pupil detection;iris recognition;deep learning;hough transform
DO -
UR -
ER -
YongSoo Choi and Jang-Hee Yoo. (2020). Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images. Journal of Software Assessment and Valuation, 16(2), 135-142.
YongSoo Choi and Jang-Hee Yoo. 2020, "Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images", Journal of Software Assessment and Valuation, vol.16, no.2 pp.135-142.
YongSoo Choi, Jang-Hee Yoo "Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images" Journal of Software Assessment and Valuation 16.2 pp.135-142 (2020) : 135.
YongSoo Choi, Jang-Hee Yoo. Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images. 2020; 16(2), 135-142.
YongSoo Choi and Jang-Hee Yoo. "Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images" Journal of Software Assessment and Valuation 16, no.2 (2020) : 135-142.
YongSoo Choi; Jang-Hee Yoo. Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images. Journal of Software Assessment and Valuation, 16(2), 135-142.
YongSoo Choi; Jang-Hee Yoo. Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images. Journal of Software Assessment and Valuation. 2020; 16(2) 135-142.
YongSoo Choi, Jang-Hee Yoo. Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images. 2020; 16(2), 135-142.
YongSoo Choi and Jang-Hee Yoo. "Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images" Journal of Software Assessment and Valuation 16, no.2 (2020) : 135-142.