Iris Recognition using Left and Right Iris Feature of the Human Eye for Biometric Security System

Abstract

Iris recognition plays an important role in the Biometric authentication. The eye lids, lashes and flash light impressions are hazard, which in turn reduces successive iris recognition rate. The proposed method includes the preprocessing of images such as image filter, morphological operations, and edge detection, which finds the exact pupil part. The proposed method uses the MLRP algorithm, to identify the exact iris layers rather than the existing methods. The key feature is extracted in iris layer. The method is applied on both left and right iris, which gives unique key between left and right eye for every person. The extracted key feature identifies the eye even in the different eye position, which gives the repeatability. The proposed method is tested with the CASIA data base iris images, which consists of left and right eye set for the different human. The proposed method reduces the FAR to 15.6% and FRR to 14%. General Terms Biometric-Image processing, Image repeatability.