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http://dx.doi.org/10.9708/jksci.2014.19.8.027

Pupil Detection using Hybrid Projection Function and Rank Order Filter  

Jang, Kyung-Shik (Dept. of Multimedia Engineering, Dongeui University)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.8, 2014 , pp. 27-34 More about this Journal
Abstract
In this paper, we propose a pupil detection method using hybrid projection function and rank order filter. To reduce error to detect eyebrows as pupil, eyebrows are detected using hybrid projection function in face region and eye region is set to not include the eyebrows. In the eye region, potential pupil candidates are detected using rank order filter and then the positions of pupil candidates are corrected. The pupil candidates are grouped into pairs based on geometric constraints. A similarity measure is obtained for two eye of each pair using template matching, we select a pair with the smallest similarity measure as final two pupils. The experiments have been performed for 700 images of the BioID face database. The pupil detection rate is 92.4% and the proposed method improves about 21.5% over the existing method..
Keywords
Pupil Detection; Hybrid Projection Function; Rank Order Filter; Similarity Measure;
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