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A Study of Liveness Detection in Face Biometric Systems

by S. Hemalatha, Amitabh Wahi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 1
Year of Publication: 2014
Authors: S. Hemalatha, Amitabh Wahi
10.5120/15847-4736

S. Hemalatha, Amitabh Wahi . A Study of Liveness Detection in Face Biometric Systems. International Journal of Computer Applications. 91, 1 ( April 2014), 31-35. DOI=10.5120/15847-4736

@article{ 10.5120/15847-4736,
author = { S. Hemalatha, Amitabh Wahi },
title = { A Study of Liveness Detection in Face Biometric Systems },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 1 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number1/15847-4736/ },
doi = { 10.5120/15847-4736 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:39.948581+05:30
%A S. Hemalatha
%A Amitabh Wahi
%T A Study of Liveness Detection in Face Biometric Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 1
%P 31-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

"Biometrics" refers to the technologies that measure and analyze human body characteristics for security purposes. The need of privacy and security in our daily life leads to this new area. Biometric systems have more accuracy when compared to traditional methods (password, key etc). It identifies and verifies the identity of a person based on one or more physiological and behavioral characteristics. That is Human body as password. The most common physical biometric traits includes fingerprint, face, ear, iris, retina, hand geometry, palmprint, DNA etc. Behavioral biometric traits include signature, gait, key strokes, speech patterns etc. Each biometric has its own strength and limitations and accordingly each biometric is used in identification (authentication) application. This paper concentrates on spoof attack against face recognition system, i. e. in this type of attack a fake biometric can be presented to sensor. This paper discusses about Introduction to The Face biometric system, Spoofing attack in Face recognition system, Liveness detection in face recognition system, Literature survey on Face Liveness detection and conclusion.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image processing biometric system liveness detection spoofing attack

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