5832162
doi
10.35940/ijrte.B6309.0710221
oai:zenodo.org:5832162
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
Publisher
Sanjeeva Kumar M. Hatture
Department of Computer Science and Engineering, Basaveshwar Engineering College, Bagalkot, Visvesvaraya Technological University, Belagavi ( Karnataka), India.
Masquerade Attack Analysis for Secured Face Biometric System
Shweta Policepatil
Pursuing, Master Degree, Department of Computer Science and Engineering, Basaveshwar Engineering College (Autonomous), Bagalkot, Visvesvaraya Technological University, Belagavi ( Karnataka), India.
issn:2277-3878
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Face Recognition; Pattern Recognition; Feature Extraction; Anti-Spoofing, Masquerade Attack.
<p>Biometrics systems are mostly used to establish an automated way for validating or recognising a living or nonliving person's identity based on physiological and behavioural features. Now a day’s biometric system has become trend in personal identification for security purpose in various fields like online banking, e-payment, organizations, institutions and so on. Face biometric is the second largest biometric trait used for unique identification while fingerprint is being the first. But face recognition systems are susceptible to spoof attacks made by nonreal faces mainly known as masquerade attack. The masquerade attack is performed using authorized users’ artifact biometric data that may be artifact facial masks, photo or iris photo or any latex finger. This type of attack in Liveness detection has become counter problem in the today's world. To prevent such spoofing attack, we proposed Liveness detection of face by considering the countermeasures and texture analysis of face and also a hybrid approach which combine both passive and active liveness detection is used. Our proposed approach achieves accuracy of 99.33 percentage for face anti-spoofing detection. Also we performed active face spoofing by providing several task (turn face left, turn face right, blink eye, etc) that performed by user on live camera for liveness detection.</p>
Zenodo
2021-07-30
info:eu-repo/semantics/article
5832161
1641822528.905338
591012
md5:49103cd2ab1ff3d7c708660e1dc47dd4
https://zenodo.org/records/5832162/files/B63090710221.pdf
public
2277-3878
Is cited by
issn
International Journal of Recent Technology and Engineering (IJRTE)
10
2
225-232
2021-07-30