Performing Iris segmentation by using geodesic active contour (GAC)

Yuan Tsung Chang, Chih Wen Ou, Timothy K. Shih, Yung Hui Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


A novel iris segmentation technique based on active contour is proposed in this paper. Our approach includes two important issues, pupil segmentation and iris circle calculation. If the correct center position and radius of pupil can be found in the tested image, we can precisely segment the iris. The accuracy of our proposed method for ICE dataset is around 92%, and also reached high accuracy level of 79% for UBIRIS. Our results demonstrate that the proposed iris segmentation method can perform well with high accuracy for Iris segmentation in images.

Original languageEnglish
Title of host publicationFrontier Computing - Theory, Technologies and Applications FC 2017
EditorsNeil Y. Yen, Jason C. Hung, Lin Hui
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9789811073977
StatePublished - 2018
Event6th International Conference on Frontier Computing, FC 2017 - Osaka, Japan
Duration: 12 Jul 201714 Jul 2017

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference6th International Conference on Frontier Computing, FC 2017


  • Active contour
  • Biometrics
  • Iris segmentation

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