Pupil Detection using Hybrid Projection Function and Rank Order Filter (Hybrid Projection 함수와 Rank Order 필터를 이용한 눈동자 검출)

Kyung-Shik Jang (장경식)

Pupil Detection using Hybrid Projection Function and Rank Order Filter

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2014, 19(8), pp.27-34
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Kyung-Shik Jang ¹

¹동의대학교

Accredited

ABSTRACT

In this paper, we propose a pupil detection method using hybrid projection function and rankorder filter. To reduce error to detect eyebrows as pupil, eyebrows are detected using hybridprojection function in face region and eye region is set to not include the eyebrows. In the eyeregion, potential pupil candidates are detected using rank order filter and then the positions ofpupil candidates are corrected. The pupil candidates are grouped into pairs based on geometricconstraints. A similarity measure is obtained for two eye of each pair using template matching, weselect a pair with the smallest similarity measure as final two pupils. The experiments have beenperformed for 700 images of the BioID face database. The pupil detection rate is 92.4% and theproposed method improves about 21.5% over the existing method.

KEYWORDS

Pupil Detection, Hybrid Projection Function, Rank Order Filter, SimilarityMeasure

Citation status

* References for papers published after 2023 are currently being built.

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Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65