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Liveness control in face recognition with deep learning methods

Nader Ebrahimpour1✉,
Mustafa Arda Ayden2,
Banu Altay3
1Papilon Savunma
2Papilon Savunma
3Papilon Savunma
Published:June 7, 2022
DOI: 10.56038/ejrnd.v2i2.36
Vol. 2, No. 2

Abstract

Today, automatic identification of individuals from biometric features is widely used in identification and authentication, security, and monitoring applications. Since facial recognition is a more user-friendly and comfortable method than other biometric methods, it has grown rapidly in recent years. However, most facial recognition systems are vulnerable to spoofing attacks. Therefore, face liveness detection (FLD) methods are of great importance. On the other hand, unlike traditional methods, deep learning techniques promise to significantly increase the accuracy of facial liveness detection systems and eliminate the difficulties of the real-world implementation of these systems. Therefore, in this paper, the application of some deep learning models to detect face liveness is reviewed and compared with each other.

Keywords
Liveness DetectionFace RecognitionDeep Learning

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Cite This Article
Ebrahimpour, N., Ayden, M. A., Altay, B. (2022). Liveness control in face recognition with deep learning methods. *The European Journal of Research and Development*, 2(2), 92 - 101. https://doi.org/10.56038/ejrnd.v2i2.36

Bibliographic Info

JournalThe European Journal of Research and Development
Volume2
Issue2
Pages92–101
PublishedJune 7, 2022
eISSN2822-2296