Robust iris segmentation through parameterization of the chan-vese algorithm

Gugulethu Mabuza-Hocquet, Fulufhelo Nelwamondo, Tshilidzi Marwala

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

1 Citation (Scopus)


The performance of an iris recognition system relies on automated processes from the segmentation stage to the matching stage. Each stage has traditional algorithms used successfully over the years. The drawback is that these algorithms assume that the pupil-iris boundaries are perfect circles sharing the same center, hence only use circle fitting methods for segmentation. The side effect posed by the traditional rubber sheet model used for normalization is; one cannot work backwards to place the discriminative features on the original image. This paper proposes a different approach to each stage using algorithms different from the traditional ones to address the above issues. Bresenham’s circle algorithm to locate and compute pupil-iris boundaries. Chan-Vese algorithm with pre-defined initial contour and curve evolution parameters for accurate segmentation. Preprocessing techniques to enhance and detect iris features for extraction. Labeling features of strongest pixel connectivity and using Harris algorithm for feature extraction and matching.

Original languageEnglish
Title of host publicationAdvanced Computer and Communication Engineering Technology - Proceedings of ICOCOE 2015
EditorsHamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783319245829
Publication statusPublished - 2016
Event2nd International Conference on Communication and Computer Engineering, ICOCOE 2015 - Phuket, Thailand
Duration: 9 Jun 201511 Jun 2015

Publication series

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


Conference2nd International Conference on Communication and Computer Engineering, ICOCOE 2015


  • Chan-Vese algorithm
  • Feature matching
  • Harris corner detector
  • Iris segmentation
  • Sobel edge detector

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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