# Improving Iris Recognition Accuracy By Score Based Fusion Method

| Ujwalla Gawande                  | Mukesh Zaveri                  | Avichal Kapur                   |                        |
|----------------------------------|--------------------------------|---------------------------------|------------------------|
|                                  | ujwallgawande@yahoo.co.in      | mazaveri@coed.svnit.ac.in       | avichal.kapur@yahoo.in |
|                                  | Computer Technology Department | Computer Engineering Department | NYSS                   |
| YCCE, Nagpur, Maharashtra, India | SVNIT, Surat, Gujarat, India   | Nagpur, Maharashtra, India      |                        |

 

## Abstract

Iris recognition technology, used to identify individuals by photographing the iris of their eye, has become popular in security applications because of its ease of use, accuracy, and safety in controlling access to high-security areas. Fusion of multiple algorithms for biometric verification performance improvement has received considerable attention. The proposed method combines the zero-crossing 1 D wavelet Euler No., and genetic algorithm based for feature extraction. The output from these three algorithms is normalized and their score are fused to decide whether the user is genuine or imposter. This new strategies is discussed in this paper, in order to compute a multimodal combined score.

## Keywords: Iris, Score, Feature Extraction, Matching, Fusion 1. Introduction

In recent years, the authentication elements Biometric recognition is a common and reliable way to authenticate the identity of a living person based on physiological or behavioral characteristics. A physiological characteristic is relatively stable physical. In information technology, in particular, biometrics is used as a form of identity access management and access control. It is also used to identify individuals in groups that are under surveillance. A detailed literature survey of iris recognition algorithm can be found in [1].In verification or authentication, a claim is made concerning the identity of a person. The biometric system has to take a binary decision of accepting or rejecting an individual, based on the information extracted from the considered biometric trait. In a verification context, two situation of error are possible, an imposter is accepted or the correct user is rejected. Performance measure of verification systems is related to the frequency with which this situation of error happens. One common performance measure, for example is the equal error rate. The iris is a thin circular diaphragm, which lies between the cornea and the lens of the human eye. The iris is perforated close to its center by a circular aperture known as the pupil. The function of the iris is to control the amount of light entering through the pupil, and this is done by the sphincter and the dilator muscles, which adjust the size of the pupil. The average diameter of the iris is 12 mm, and the pupil size can vary from 10% to 80% of the iris diameter.