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Table 4 Outcomes of proposed iris normalization schemes on various iris database images in terms of FAR, FRR and CRR

From: Trade off between variable and fixed size normalization in orthogonal polynomials based iris recognition system

Iris data base

Method

FAR (%)

FRR (%)

CRR (%)

CASIA V 1.0

Proposed variable size normalization model + orthogonal polynomials based iris recognition system

0.011

0.354

99.635

Proposed fixed size normalization model + orthogonal polynomials based iris recognition system

0.013

0.523

99.464

CASIA V 3.0 Interval

Proposed variable size normalization model + orthogonal polynomials based iris recognition system

0.021

0.312

99.667

Proposed fixed size normalization model + orthogonal polynomials based iris recognition system

0.025

0.399

99.576

BATH

Proposed variable size normalization model + orthogonal polynomials based iris recognition system

0.032

0.343

99.625

Proposed fixed size normalization model + orthogonal polynomials based iris recognition system

0.037

0.409

99.554

MMU V 1.0

Proposed variable size normalization model + orthogonal polynomials based iris recognition system

0.019

0.156

99.825

Proposed fixed size normalization model + orthogonal polynomials based iris recognition system

0.021

0.171

99.808

MMU V 2.0

Proposed variable size normalization model + orthogonal polynomials based iris recognition system

0.031

0.16

99.809

Proposed fixed size normalization model + orthogonal polynomials based iris recognition system

0.032

0.171

99.797