A Robust and Accurate Detection of Pupil Images

Precise pupil features detection is an important factor for screening diabetic retinopathy. Some interferences caused by reflections, eyelashes and eyelids in pupil extraction need to be solved. This paper presents an algorithm to precisely estimate pupil features: pupil center and pupil radius. The system's hardware component allows for high frame rate image acquisition under infrared lighting conditions. We use several real time image processing techniques to estimate the pupil size under the influence of corneal reflection and eyelid occlusion conditions. The experimental results show a good robustness and accuracy.