Eyelids and eyelash detection based on clusterization of vector of local features
K. I. Talipov · Machine Learning and Data Analysis · 2016
An attempt has been done to solve the problem of extracting areas where the iris is occluded by various objects.Initial data consist of an image of iris and a circle approximating the boundary between the sclera, the iris, and the pupil.Calculation of local texure features and clusterizing the data based on the extracted information is proposed as a solution method.Two main goals of this particular work are to introduce an effective algorithm for occluded point detection and to study the possibility of their segmentation without a preset texture model.The algorithm's performance is illustrated with the results on various iris image datasets.