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186796

A survey of smartphone-based Face Recognition systems for Security Purposes

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Information Technology

Abstract

Abstract: Smart devices, such as smartphones and tablets, are frequently used to store and send confidential and private information. The disadvantages of traditional methods of recognition have led researchers to explore biometrics to obtain accurate and convenient security of mobile devices, taking advantage of image detection technologies that capture environmental, positional and interactive information. The face is our main focus of concentration and represents an important role in the transmission of identity and emotions. In this paper, face recognition biometric researches to mobile device security are surveyed. The discussion of various feature extractions algorithms, along with the advantages and research challenges associated with face modality have reviewed.Abstract: Smart devices, such as smartphones and tablets, are frequently used to store and send confidential and private information. The disadvantages of traditional methods of recognition have led researchers to explore biometrics to obtain accurate and convenient security of mobile devices, taking advantage of image detection technologies that capture environmental, positional and interactive information. The face is our main focus of concentration and represents an important role in the transmission of identity and emotions. In this paper, face recognition biometric researches to mobile device security are surveyed. The discussion of various feature extractions algorithms, along with the advantages and research challenges associated with face modality have reviewed.

DOI

10.21608/kjis.2021.5484.1006

Keywords

security, Face Recognition, Smartphones, Biometrics

Authors

First Name

Atrab

Last Name

AbdElaziz

MiddleName

Ahmed

Affiliation

Information Technology. faculty of computers and information, kafelsheikh university , kafrelsheikh, egypt

Email

atrab_ahmed@fci.kfs.edu.eg

City

El-Hamoul

Orcid

-

Volume

2

Article Issue

1

Related Issue

26932

Issue Date

2021-08-01

Receive Date

2018-10-17

Publish Date

2021-08-01

Page Start

1

Page End

7

Print ISSN

2537-0677

Online ISSN

2535-1478

Link

https://kjis.journals.ekb.eg/article_186796.html

Detail API

https://kjis.journals.ekb.eg/service?article_code=186796

Order

2

Type

Survey Article

Type Code

464

Publication Type

Journal

Publication Title

Kafrelsheikh Journal of Information Sciences

Publication Link

https://kjis.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023