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Detection and Spoofing Methods of Face Recognition using Visualization Dynamics: A Review

by Mandeep Kaur, Hanit Karwal, Kulvinder Singh Mann
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 45
Year of Publication: 2019
Authors: Mandeep Kaur, Hanit Karwal, Kulvinder Singh Mann
10.5120/ijca2019919368

Mandeep Kaur, Hanit Karwal, Kulvinder Singh Mann . Detection and Spoofing Methods of Face Recognition using Visualization Dynamics: A Review. International Journal of Computer Applications. 178, 45 ( Sep 2019), 40-44. DOI=10.5120/ijca2019919368

@article{ 10.5120/ijca2019919368,
author = { Mandeep Kaur, Hanit Karwal, Kulvinder Singh Mann },
title = { Detection and Spoofing Methods of Face Recognition using Visualization Dynamics: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 45 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 40-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number45/30854-2019919368/ },
doi = { 10.5120/ijca2019919368 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:13.693720+05:30
%A Mandeep Kaur
%A Hanit Karwal
%A Kulvinder Singh Mann
%T Detection and Spoofing Methods of Face Recognition using Visualization Dynamics: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 45
%P 40-44
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometric systems have claimed to become one of the sore subjects in the present epoch when it comes to validation or recognition of an individual. Biometric system mainly focuses on identification of traits of an individual. The foundation of face recognition, globally, is laid on a set of unique and specific recognizable or valid data. This data can be in the form of digital images or video frames. In spite of being ubiquitous, face recognition data is prone to spoofing attacks as face recognition data introduces a high probability of breach allowing a fraudulent user to masquerade as a registered user to gain illegitimate access and privileges. It has, thereby, become highly unlikely to avoid the prevention of such frauds by developing reliable and robust methods. This paper intends to review and acknowledge numerous face detection ways and to sort them into totally different classes.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Face spoofing Spoofing Attacks 2D Face Recognition Detection ways Visualization Dynamics.

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