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146280

A Biometric System for Personal Identification Using Modular Neural Nets.

Article

Last updated: 04 Jan 2025

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Tags

Computer Engineering and Systems

Abstract

 In this paper, a fast biometric system for face recognition is introduced. We combine both fast and cooperative modular neural nets (MNNs) to enhance the performance of the detection process Such approach is applied to identify frontal views of human faces automatically in cluttered scenes. In the detection phase. neural nets are used to test whether a window of 20x20 pixels contains a face or not The large number of examples required for face and nonface images makes the convergence process very difficult during the learning process. A simple design for cooperative modular neural nets is presented to solve this problem by dividing these data into three groups Such division results in reduction of computational complexity and thus decreasing the time and memory needed during the test of an image. For the recognition phase, feature measurements are made through Fourier descriptors which are insensitive to rotation, translation and scaling Such feature is modified to reduce the number of neurons in the hidden layer. From these features, wavelet coefficients are extracted which have been shown to provide advantages in terms of better representation for a given data to be compressed finally, the resulted vector is fed to a neural net for face classification. Simulation results for the proposed algorithm show a good performance.

DOI

10.21608/bfemu.2021.146280

Authors

First Name

Hazem

Last Name

El-Bakry

MiddleName

M.

Affiliation

Electrical Communication Department., Faculty of Computer Science Electronics & Information System., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Mohy

Last Name

Abo-Elsoud

MiddleName

A.

Affiliation

Electronics & Electrical Communication Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

mohyldin@mum.mans.eun.eg

City

Mansoura

Orcid

-

First Name

Mohamed

Last Name

Kamel

MiddleName

S.

Affiliation

Systems Design Engineering Departremnt., University of Waterloo., Canada

Email

-

City

-

Orcid

-

Volume

25

Article Issue

1

Related Issue

21253

Issue Date

2000-03-01

Receive Date

2000-01-11

Publish Date

2021-02-04

Page Start

30

Page End

38

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 25_Issue 1_Pages 30-38.pdf

PDF . 217.4kB

Link

https://bfemu.journals.ekb.eg/article_146280.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=146280

Order

5

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

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

MainTitle

A Biometric System for Personal Identification Using Modular Neural Nets.

Details

Type

Article

Created At

22 Jan 2023