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Techniques of Face Spoof Detection: A Review

by Ramandeep Kaur, P. S. Mann
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 1
Year of Publication: 2017
Authors: Ramandeep Kaur, P. S. Mann
10.5120/ijca2017913569

Ramandeep Kaur, P. S. Mann . Techniques of Face Spoof Detection: A Review. International Journal of Computer Applications. 164, 1 ( Apr 2017), 29-33. DOI=10.5120/ijca2017913569

@article{ 10.5120/ijca2017913569,
author = { Ramandeep Kaur, P. S. Mann },
title = { Techniques of Face Spoof Detection: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 1 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number1/27449-2017913569/ },
doi = { 10.5120/ijca2017913569 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:04.929342+05:30
%A Ramandeep Kaur
%A P. S. Mann
%T Techniques of Face Spoof Detection: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 1
%P 29-33
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To automatically recognition of face is wide used in several applications like authentication of mobile payment. Automatic face recognition has raised issues concerning face spoof attacks (biometric sensor presentation attacks), in which a photograph or video of an authorized person’s face will be used to gain access.There are variety of face spoof detection techniques are proposed, their generalization ability has not been adequately addressed. The intention of this paper is 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

Face recognition spoof detection image distortion analysis and svm classifier.

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