Texture Detection for Segmentation of Iris Images

The idea of using the distinct spatial distribution of patterns in the human iris for person authentication is now a widely developing technology. Current systems rely on a set of basic assumptions in order to improve the accuracy and running time of the recognition process. The advent of a robust system implies a viable solution to a number of general problems. This paper focuses on a common yet difficult problem the segmentation of eyelashes from iris texture. Tests give promising results when using grey level co-occurrence matrix (GLCM) approach.