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76776

Comb Filter Approach for Cancelable Face and Fingerprints Recognition

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Last updated: 04 Jan 2025

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Abstract

Now many security systems depend on biometrics, these systems have suffered from hacking trials. If the biometric databases have been hacked and stolen, the biometrics saved in these databases will be lost forever. Thus, there is a desperate need to develop new cancelable biometric systems. The main concept of cancelable biometrics is to use another version of the original biometric template created through a one-way transform or an encryption scheme to keep the original biometrics safe and away from utilization in the system. In this paper, a comb filter algorithm is utilized for cancelable face and fingerprint recognition systems. The comb filter performs encryption process for faces and fingerprints to produce their cancelable patterns and compare them with any random attacked encrypted biometric. We notice that there is no any correlation between the stored biometrics and the attacked biometric at different filter order (L) values of the employed comb filter where L is tested in the cases of 6, 8, 10, and 12. Also, we calculate the  evaluation matrices of the Equal Error Rate (EER), False Accept Rate (FAR), False Reject Rate (FRR), and the Area under Receiver Operating Characteristic (ROC) curves for the proposed framework.

DOI

10.21608/mjeer.2019.76776

Keywords

Cancelable Biometrics, Face and fingerprint, Comb filter, FAR, EER, AROC, FRR

Authors

First Name

Mohamed

Last Name

Abd Al Rahim

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Engineering Higher Institute of Engineering,Elshorok academy Egypt

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Orcid

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First Name

Walid

Last Name

El-Shafai

MiddleName

-

Affiliation

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

Email

eng.waled.elshafai@gmail.com

City

-

Orcid

0000-0001-7509-2120

First Name

El-Sayed M.

Last Name

El-Rabaie

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications EngineeringFaculty of Electronic EngineeringMenoufia University:Menouf, Egypt

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-

City

-

Orcid

-

First Name

Osama

Last Name

Zahran

MiddleName

-

Affiliation

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

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-

City

-

Orcid

-

First Name

Fathi E.

Last Name

Abd El-Samie

MiddleName

-

Affiliation

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

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-

City

-

Orcid

-

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

89

Page End

94

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_76776.html

Detail API

https://mjeer.journals.ekb.eg/service?article_code=76776

Order

38

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

Comb Filter Approach for Cancelable Face and Fingerprints Recognition

Details

Type

Article

Created At

22 Jan 2023