Detecting Pupil and Iris under Uncontrolled Illumination using Fixed-Hough Circle Transform
Retno Supriyanti, Budi Setiawan, Haris Budi Widodo, Eko Murdyantoro · 2012
The use of characteristics of iris and pupil are very useful in wide range of applications. There have been many studies about detecting pupil and iris, however most of these studies focused on images which are taken under controlled illumination conditions. In this paper, we focus on images in which are taken under uncontrolled illumination using compact digital cameras. We propose an efficient method for detecting pupil and iris accurately. Our method is based on Hough Circle Transform by fixed radius. This algorithm combines face recognition, edge detection and characteristics of LAB images. We implement our method into 125 face images which are taken by compact digital camera under uncontrolled illumination, varying pose and expression conditions of human face. The result shows that our algorithm has performance about 82%.