IRIS BIOMETRIC AUTHENTICATION USING SIFT AND SVM

Volume: 2    Issue: 6

Year of Publication: 2015

Pages: (14-19)

Authors: Satwinder Singh, Er. Varinderjit Kaur

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Abstract

In the modern world, establishing the identity of a person is a critical task in any identity management system. Surrogate representations of identity such as passwords and ID cards are not sufficient for reliable identity determination because they can be easily misplaced, shared, or stolen. From past few years identification through biometric has been confirmed much more consistent in some specific manner for verifying the human identity. An upright biometrics is one that utilizes single feature which is extremely unique. So, in our work we have utilized Iris as it is one of the unique feature of an individual. In this work, a system is developed that can recognize human iris patterns and an analysis of the results is done. An innovative methodology has been utilized for execution of the framework. Some specific performance metric are evaluated like False Acceptance Rate, False Rejection Rate and Accuracy. The over-all work model took place in the MATLAB 7.10 environment.

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Keywords

Biometric, IRIS, SIFT, SVM, FAR, FRR, ACCURACY.