Beta
295179

Real Time Face Recognition Technique for Institutional Healthcare’s Security System

Article

Last updated: 28 Dec 2024

Subjects

-

Tags

-

Abstract

Security is very critical in daily lifestyles, especially inside the healthcare field. The facial recognition machine changed into utilized, which is one of the biometric information processes. Its utility is less complicated than that of different biometric information processes which includes fingerprints, iris scans, signatures, etc... The accurately and successfully discover human beings has usually been an interesting topic, in research and in industry. With the rapid development of artificial intelligence in recent years, facial recognition profits an increasing number of attentions in security applications. Face recognition has many blessings, such as but restrict to non-touch, high concurrency, and person pleasant. The system entails a combination of techniques in two components: The Biometric pattern recognition algorithms is a facial recognition system that is based on a Haar-like feature detection algorithm (LBP) simplest stay obtained algorithm are used for face detection. Three persons test the system with a database developed in the OpenCV library. This system presents appropriate overall performance for figuring out faces in the desired bounds and establishing the door to an identified person is known or unknown of the system.

DOI

10.21608/svusrc.2023.197063.1109

Keywords

Biometric, Facial Recognition System, Haar-Like Feature, (LBP), OpenCV library

Authors

First Name

Madina

Last Name

Ah-Ali Dhawalbeit

MiddleName

-

Affiliation

Sudan International University, Khartoum, Sudan

Email

linaali2014@gmail.com

City

-

Orcid

-

First Name

Areej

Last Name

Ali.Moh SK

MiddleName

-

Affiliation

Sudan International University, Khartoum, Sudan

Email

-

City

-

Orcid

-

First Name

Emtithal

Last Name

Ahmed

MiddleName

-

Affiliation

Sudan International University, Khartoum, Sudan

Email

-

City

-

Orcid

-

First Name

Moh

Last Name

Alfadel Golam allh

MiddleName

-

Affiliation

Sudan International University, Khartoum, Sudan

Email

-

City

-

Orcid

-

Volume

4

Article Issue

2

Related Issue

39204

Issue Date

2023-12-01

Receive Date

2023-03-28

Publish Date

2023-12-01

Page Start

173

Page End

179

Print ISSN

2785-9967

Online ISSN

2735-4571

Link

https://svusrc.journals.ekb.eg/article_295179.html

Detail API

https://svusrc.journals.ekb.eg/service?article_code=295179

Order

295,179

Type

Original research articles

Type Code

1,585

Publication Type

Journal

Publication Title

SVU-International Journal of Engineering Sciences and Applications

Publication Link

https://svusrc.journals.ekb.eg/

MainTitle

Real Time Face Recognition Technique for Institutional Healthcare’s Security System

Details

Type

Article

Created At

28 Dec 2024