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311791

Efficient Iris Recognition Using Multi-feature Fusion

Article

Last updated: 28 Dec 2024

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Abstract

 Biometric technologies are very important these days for improving the accuracy of protecting private data from
unauthorized access. It helps overcome deficiencies of current security traditional systems. For the last decade, researchers are developing new methodologies that employ biometrics to boost security field. This article proposes effective methods for Iris recognition based on multi-feature fusion. A feature fusion approach is implemented to improve the iris recognition rate. In particular, Haar Wavelet Transformation (HWT) features and principal Component Analysis (PCA) are used to model the iris texture. Both approaches are fused to improve performance. Fusion results are compared to those from each feature alone and with other reported work. The results obtained with the proposed method are better than the currently reported results. 

DOI

10.21608/mjcis.2017.311791

Keywords

Biometric system, SDUMLA Database, Iris recognition, Daugman‟s Rubber sheet, Haar Wavelet Transformation (HWT), principal component analysis (PCA), Euclidean Distance (ED)

Authors

First Name

Shaimaa

Last Name

A.M. Hegazy

MiddleName

-

Affiliation

Faculty of computers and information systems, I.S dep. Mansoura University, Egypt

Email

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Orcid

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First Name

Mostafa

Last Name

G.M. Mostafa

MiddleName

-

Affiliation

Faculty of computers and information systems Ain Shams University , Egypt

Email

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City

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Orcid

-

First Name

Ahmed

Last Name

Abu Elfetouh

MiddleName

-

Affiliation

Faculty of computers and information systems, I.S dep. Mansoura University, Egypt

Email

elfetouh@gmail.com

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-

Orcid

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Volume

13

Article Issue

1

Related Issue

42818

Issue Date

2017-12-01

Receive Date

2023-08-08

Publish Date

2017-12-01

Page Start

1

Page End

8

Print ISSN

2090-1666

Online ISSN

2090-1674

Article File

MJCIS_Volume 13_Issue 1_Pages 1-8.pdf

PDF . 892.3kB

Link

https://mjcis.journals.ekb.eg/article_311791.html

Detail API

https://mjcis.journals.ekb.eg/service?article_code=311791

Order

311,791

Type

Original Research Articles.

Type Code

1,784

Publication Type

Journal

Publication Title

Mansoura Journal for Computer and Information Sciences

Publication Link

https://mjcis.journals.ekb.eg/

MainTitle

Efficient Iris Recognition Using Multi-feature Fusion

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Article

Created At

28 Dec 2024