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http://dx.doi.org/10.6109/jkiice.2013.17.7.1564

Robust Pupil Detection using Rank Order Filter and Cross-Correlation  

Jang, Kyung-Shik (Department of multimedia Engineering, Dongeui University)
Park, Sung-Dae (Department of Digital Contents Engineering, Dongeui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.7, 2013 , pp. 1564-1570 More about this Journal
Abstract
In this paper, we propose a robust pupil detection method using rank order filter and cross-correlation. Potential pupil candidates are detected using rank order filter. Eye region is binarized using variable threshold to find eyebrow, and pupil candidates at the eyebrow are removed. 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 cross-correlation, we select a pair with the largest similarity measure as a final pupil. The experiments have been performed for 500 images of the BioID face database. The results show that it achieves the high detection rate of 96.8% and improves about 11.6% than existing method.
Keywords
Rank Order Filter; Pupil Detection; Cross-Correlation; Similarity Measure;
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