Pupil Detection using Hybrid Projection Function and Rank Order Filter

Jang, Kyung Shik

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.

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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