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130302

Automatic Identity Verification Using Face Images.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Computer Engineering and Systems

Abstract

This paper presents two types of identity verification systems based on face images. In the first system principle component analysis (PCA) is used for dimensionality reduction and feature extraction whereas in the second system wavelet transform is used for dimensionality reduction and (PCA) for feature extraction. Two types of classifiers, the Euclidean distance and Angle distance, are used with both systems. Comparative study by computer simulation showed that the addition of wavelet transform before (PCA) provides better performance in the case of Euclidean distance classifier. Moreover, the results obtained by (PCA) are in agreement with those reported in literatures. 

DOI

10.21608/bfemu.2020.130302

Authors

First Name

Sabry

Last Name

Saraya

MiddleName

Fouad

Affiliation

Computer & Systems Eng. Dept. Faculty of Engineering Mansoura University., Mansoura.,Egypt

Email

drsfsaraya@mans.edu.eg

City

Mansoura

Orcid

-

First Name

John

Last Name

Zaki

MiddleName

Fayez Wanis

Affiliation

Computer & Systems Eng. Dept. Faculty of Engineering Mansoura University., Mansoura., Egypt

Email

jfzaki@mans.edu.eg

City

Mansoura

Orcid

-

Volume

30

Article Issue

1

Related Issue

19434

Issue Date

2005-03-01

Receive Date

2005-01-11

Publish Date

2020-12-16

Page Start

1

Page End

8

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 30_Issue 1_Pages 1-8.pdf

PDF . 288.1kB

Link

https://bfemu.journals.ekb.eg/article_130302.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=130302

Order

2

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023