Abstract
Iris recognition indicates the procedure of recognizing humans based on their both left and right iris patterns. Nowadays there is rapid progress in realizing an old dream of developing a user-friendly recognition system. Most of the new projects became a nightmare of security of the system. The prosperity of iris recognition aside from its attractive physical characteristics is led to developing an efficient feature extractor to attain the required objective of recognition. Fingerprint, facial, and iris biometric techniques are developed widely for identifying processing most boarded management points, access control, and military checkpoints. Hybridization between Daugman’s Integro Differential Operator (IDO) with edge base methods was realized through taking the advantages of the good qualities of both methods so as to enhance the precision and reduce the required time. The proposed hybrid recognition system is very reliable and accurate. UBIRIS version 1 dataset was utilized in the conducted simulation which indicates the distinctions of the hybrid method in providing good performance and accuracy with reducing the time consuming of iris localization by approximately 99% compared with IDO and edge based methods.
Highlights
A biometric recognition system of individuals is established on unique features of the individual
Different types of noise are presented in the dataset of UBIRIS like for example focus, reflections, and tiny visible iris; the proposed algorithm utilizes an image processing technique to create an approach since it handled various types of noisy image
The effect of the light reflections covers the portions of the eye image resulting in some difficulties in the iris localization procedure
Summary
A biometric recognition system of individuals is established on unique features of the individual. It makes use of many biological features such as fingerprints, iris, human speech, retina, face, etc. The recognition system of the face, fingerprints, and iris of the eye are considered to be more efficient in accuracy and reliability [1]. The human iris is regarded as a major biological feature, as it has always been uniquely unchanged in the progression of time. The recognition procedure is noninvasive because the iris image is not being acquired and processed by physical affection [2]. Systems for Iris Recognition are widely used to identify individuals at airports, stations, immigration, mobile and computer access at research institutes, or in accessing database in control distributed systems [3]
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