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Iris Localization using the Pupil Center Point based on Deep Learning in RGB Images

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2020, 16(2), pp.135-142
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : November 25, 2020
  • Accepted : December 21, 2020
  • Published : December 31, 2020

YongSoo Choi 1 Jang-Hee Yoo 2

1과학기술연합대학원대학교 ICT전공
2한국전자통신연구원

Candidate

ABSTRACT

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.

Citation status

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