Fast and Reliable Biometric Verification System Using Iris
Bhagyashree Deshpande, Deepak Jayaswal · 2018
A biometric system acquires biometric features from an individual and compare these features with other features stored in the database. Iris recognition system is a reliable and an accurate biometric system. Localization of the iris boundaries in an eye image is considered to be the most vital step in the iris recognition process. There exist many algorithms to segment the iris. One of the segmentation methods, that is used in many commercial iris biometric systems is an algorithm known as a Daugman's algorithm. Especially it focuses on image segmentation and feature extraction for iris recognition process but Daugman uses more processing time. This paper implements the proposed algorithm to achieve best performance in terms of accuracy and time. The implemented algorithm was tested on UBIRIS V.1 database which includes 15 individuals from both Right and Left eyes resulting in 45 classes in total. The proposed algorithm attains an overall accuracy of 95% with robust performance.