Human Identification by Partial Iris Segmentation Using Pupil Circle Growing Based on Binary Integrated Edge Intensity Curve

Identification of human based on iris has gained increased attention in recent years. The paper focuses on novel and efficient approach of partial iris based recognition of human using pupil circle region growing and binary integrated edge intensity curve which defeats the difficulties of eyelids occlusions. The experimental results are obtained on CASIA database version-1 and show good performance with EER of 5.14%. The advantage of the proposed approach is its computational simplicity and good recognition accuracy as it avoids the eyelids portion from the iris region for further processing.