Research Article Open Access

EFFICIENT IRIS RECOGINITION USING GLCM AND SVM CLASSIFIER

Abstract

The precise solution for the authentication of the personal information and also for the betterment of the security there comes the Biometrics. The issues in protecting the real time information can be defined as, misappropriation of the password either intentionally or by mistake. Thus it results to the poor security and may lead to loss of crucial information. The savior of these problems comes in the form of biometric where human intervention is used in each and every step, but with the zero duplicity. The IRIS analysis is such method which can be used for efficient security. The objective of this system is to analyse the detailed information of the IRIS method. The approach method of IRIS includes the shape, strength and point of placement. The region of the pupil will be unwrapped into one region to other, the data extraction from the pupil will be performed by GLCM (GrayScale Co-occurrence Matrix). The differention will be done further by a classifier called Support Vector Machine (SVM). It will filter out the original from the imposting adversary. This results in the enhanced performance from the present methods.

TAMILMANI G, KAVITHA M AND RAJATHI K

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