Rotation-Invariant Iris Recognition Method Based on Zernike Moments

Abstract

Iris recognition is a biometric technology which can identify a person using the iris pattern. It is important for the iris recognition system to extract the feature which is invariant to changes in iris patterns. Those changes can be occurred by the influence of lights, changes in the size of the pupil, and head tilting. In this paper, we propose a novel method based on Zernike Moment which is robust to rotations of iris patterns. we utilized a selection of Zernike moments for the fast and

Efficient Iris Recognition Method for Large Scale Database

“…The number of Zernike moments up to 15 degrees is 72, which can reconstruct the original picture to substantially the same form [15]. But in iris recognition, it is only necessary to keep the moment coefficients that have high discrimination for features.…”