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Pupil Detection using PCA and Hough Transform
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2017, 22(2), pp.21-27
DOI :https://doi.org/10.9708/jksci.2017.22.02.021
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2017, 22(2), pp.21-27
DOI :https://doi.org/10.9708/jksci.2017.22.02.021
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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In this paper, we propose a pupil detection method using PCA(principal component analysis) and Hough transform. To reduce error to detect eyebrows as pupil, eyebrows are detected using projection function in eye region and eye region is set to not include the eyebrows. In the eye region, pupil candidates are detected using rank order filter. False candidates are removed by using symmetry. The pupil candidates are grouped into pairs based on geometric constraints. A similarity measure is obtained for two eye of each pair using PCA and hough transform, we select a pair with the smallest similarity measure as final two pupils. The experiments have been performed for 1000 images of the BioID face database. The results show that it achieves the higher detection rate than existing method.
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