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A Study on Face Recognition and Face Spoofing Detection Techniques

by Khyati Jash Desai, Sunil Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 14
Year of Publication: 2023
Authors: Khyati Jash Desai, Sunil Kumar
10.5120/ijca2023922823

Khyati Jash Desai, Sunil Kumar . A Study on Face Recognition and Face Spoofing Detection Techniques. International Journal of Computer Applications. 185, 14 ( Jun 2023), 24-29. DOI=10.5120/ijca2023922823

@article{ 10.5120/ijca2023922823,
author = { Khyati Jash Desai, Sunil Kumar },
title = { A Study on Face Recognition and Face Spoofing Detection Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2023 },
volume = { 185 },
number = { 14 },
month = { Jun },
year = { 2023 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number14/32764-2023922823/ },
doi = { 10.5120/ijca2023922823 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:26:03.773474+05:30
%A Khyati Jash Desai
%A Sunil Kumar
%T A Study on Face Recognition and Face Spoofing Detection Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 14
%P 24-29
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Security has become major concern in early years. For security purpose, Face recognition is used. The security of this technique can be compromised by various attacks. “Face spoofing is one of the attacks where non-original image of valid user’s face presented to the camera to access the system [15]” So the present study attempts to explore the face spoofing detection techniques through a comparative analysis. The present study has three main objectives. 1. To identify and explain the component of face spoofing techniques. 2. To do the comparative analysis on different face spoofing techniques. 3. To develop or modify an efficient technique to find face spoofing. This study is quantitative in nature. This study aims to discover the best method for detecting face spoofing. Identify component like face recognition, effective factors etc. from different techniques. Also this study aims to identify best dataset for detecting face spoofing. This study presents one comparative analyses. It helps one to select a technique for their future work based on its advantages and disadvantages and the dataset used, which helps one to identify the most suitable dataset. At the end this study reviewd some effective techniques for someone who wants to use that technique into their study or work.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Face Spoofing Face Spoofing Techniques Comparative Analysis

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