A fast circular edge detector for the iris region segmentation

Yeunggyu Park, Hoonju Yun, Myongseop Song, Jaihie Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we propose a fast circular edge detector for the iris region segmentation by detecting the inner and outer boundaries of the iris. In previous work, the circular edge detector which John G.Daugman proposed, searches the radius and the center of the iris to detect its outer boundary over an eye image. To do so, he used Gaussian filter to smooth texture patterns of the iris which cause its outer boundary to be detected incorrectly. Gaussian filtering requires much computation, especially when the filter size increases, so it takes much time to segment the iris region. In our algorithm, we could avoid procedure for Gaussian filtering by searching the radius and the center position of the iris from a position being independent of its texture patterns. In experimental results, the proposed algorithm is compared with the previous ones, the circular edge detector with Gaussian filter and the Sobel edge detector for the eye images having different pupil and iris center positions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsTomaso Poggio, Seong-Whan Lee, Heinrich H. Bulthoff
PublisherSpringer Verlag
Pages417-423
Number of pages7
ISBN (Print)3540675604, 9783540675600
DOIs
Publication statusPublished - 2000 Jan 1
Event1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 - Seoul, Korea, Republic of
Duration: 2000 May 152000 May 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1811
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000
CountryKorea, Republic of
CitySeoul
Period00/5/1500/5/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'A fast circular edge detector for the iris region segmentation'. Together they form a unique fingerprint.

  • Cite this

    Park, Y., Yun, H., Song, M., & Kim, J. (2000). A fast circular edge detector for the iris region segmentation. In T. Poggio, S-W. Lee, & H. H. Bulthoff (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 417-423). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1811). Springer Verlag. https://doi.org/10.1007/3-540-45482-9_42