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

    7 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
    Country/TerritorySpain
    CityMadrid
    Period15/6/2415/6/26

    Keywords

    • circle fitting
    • Iris center localization
    • point sampling

    ASJC Scopus subject areas

    • General Engineering

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