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76767

Quaternion Based On Cancelable Biometrics

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Last updated: 25 Dec 2024

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Abstract

The current paper presents a novel cancelable face recognition scheme based on quaternion mathematics. The main idea of the proposed model is to mask the nature of faces prior to use in the face recognition process. The objective of this process is to keep the privacy of users during the initiation biometric data and the biometric verification process in case of data base compromising wherein it is possible to change the saved biometric templates while the color face image is used to compose a quaternion. Subsequently, a mask image is used in another quaternion. Quaternion multiplication and thus quaternion inverse are applied to generate the cancelable templates. The performance analysis of the proposed approach reveals that low EER and large area under ROC curve which are the required high index templates

DOI

10.21608/mjeer.2019.76767

Keywords

— cancelable biometrics, image encryption, quaternion mathematics

Authors

First Name

Mohamad Essam and

Last Name

Mahmoud Ahmed

MiddleName

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Affiliation

Communications and Electronics Department Faculty of Engineering Future University: Cairo, Egypt

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First Name

E. S. Shoukralla, Saied M. Abd El-atty and

Last Name

Fathi E. Abd El-Samie

MiddleName

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Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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Volume

28

Article Issue

ICEEM2019-Special Issue

Related Issue

9704

Issue Date

2019-12-01

Receive Date

2020-03-10

Publish Date

2019-12-01

Page Start

71

Page End

77

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_76767.html

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https://mjeer.journals.ekb.eg/service?article_code=76767

Order

35

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Quaternion Based On Cancelable Biometrics

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Article

Created At

22 Jan 2023