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Fine Circular Pupil Localization | ||
| Journal of Al-Nahrain University - Science | ||
| Article 1, Volume 14, Issue 1, 2011, Pages 179-185 | ||
| Author | ||
| Ihab A. Mohammed | ||
| Abstract | ||
| In this paper a simple, fast, and accurate method is proposed to localize the pupil. Afteranalyzing eye images and their histograms, it has been found that the pupil area takes about 10% ofthe eye image area and mainly it is the darkest part. A threshold value was computed from thehistogram of the image, the computed threshold is used to convert the eye image to binary image,the seed fill algorithm was used as region growing method to segment the binary image and locatethe pupil as the maximum segment, then fill it with black color to remove any specular spotreflection. A circle fitting algorithm is used to locate the best pupil circle. The conducted test on theproposed system using 10 eye images, downloaded from CASIA-IRISV3-Interval database,indicated that the pupil area average error ratio is 0.6%, the pupil center average position error is0.5%, and the pupil radius average error ratio is 2.1%. | ||
| Keywords | ||
| Pupil Localization; histogram; Threshold; Segmentation; Seed Filling; Circle Fitting | ||
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