A Template-Matching Based Method to Perform Iris Detection in Real-Time Using Synthetic Templates

Understanding people attentional focus can be useful for several applications. One important challenge in this area is to determine the iris position in image/video in order to estimate gaze behavior. To this end, this paper presents a robust and non-intrusive method to locate human iris position in low resolution grayscale images, in real-time. The method requires the previous knowledge of the face location and provides iris position in a region of interest (ROI) estimated based on anthropometric parameters. We achieved good results, varying from 90% to 100% of accuracy on images and video sequences. In addition, we tested our algorithm with noisy images. The lowest levels of accuracy are mainly due to light reflection on spectacles and eyes occlusion by eyelids.