A novel iris center localization based on circle fitting using radially sampled features

Sung Tae Kim, Kang A. Choi, Yong Goo Shin, Sung-Jea Ko

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

5 Citations (Scopus)

Abstract

In this paper, we propose a novel iris center (IC) localization method. Given an eye region image, we first find an initial iris center and perform iterative circle fitting until the center of the circle converges on the final IC. In each iteration step, a certain number of feature points (FPs) are extracted from radial sectors defined around the IC, and then grouped into several clusters for circle fitting. Through the iteration, the circle center converges on the final IC. Experimental results on the public dataset GI4E show that the proposed method achieves the superior performance as compared with conventional ones.

Original languageEnglish
Title of host publicationProceedings of the International Symposium on Consumer Electronics, ISCE
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015-August
ISBN (Print)9781467373654
DOIs
Publication statusPublished - 2015 Aug 4
EventIEEE International Symposium on Consumer Electronics, ISCE 2015 - Madrid, Spain
Duration: 2015 Jun 242015 Jun 26

Other

OtherIEEE International Symposium on Consumer Electronics, ISCE 2015
CountrySpain
CityMadrid
Period15/6/2415/6/26

Keywords

  • circle fitting
  • Iris center localization
  • point sampling

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Kim, S. T., Choi, K. A., Shin, Y. G., & Ko, S-J. (2015). A novel iris center localization based on circle fitting using radially sampled features. In Proceedings of the International Symposium on Consumer Electronics, ISCE (Vol. 2015-August). [7177823] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCE.2015.7177823