An Overview of Face Liveness Detection
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Abstract (arXiv)
Face recognition is a widely used biometric approach. Face recognition technology has developed rapidly in recent years and it is more direct, user friendly and convenient compared to other methods. But face recognition systems are vulnerable to spoof attacks made by non-real faces. It is an easy way to spoof face recognition systems by facial pictures such as portrait photographs. A secure system needs Liveness detection in order to guard against such spoofing. In this work, face liveness detection approaches are categorized based on the various types techniques used for liveness detection. This categorization helps understanding different spoof attacks scenarios and their relation to the developed solutions. A review of the latest works regarding face liveness detection works is presented. The main aim is to provide a simple path for the future development of novel and more secured face liveness detection approach.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 May 2014.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 2; 2025: 1.
5 papers.
- 2021Trustworthy AI: From Principles to Practicescited by 206
- 2024AttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detectioncited by 2
- 2024Cross-Database Liveness Detection: Insights from Comparative Biometric Analysiscited by 1
- 2022AttenFace: A Real Time Attendance System using Face Recognitioncited by 0
- 2025Addressing Deepfake Issue in Selfie banking through camera based authenticationcited by 0
- 2025Addressing Deepfake Issue in Selfie banking through camera based authentication27 Aug 2025
- 2024AttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection6 Feb 2024
- 2024Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis29 Jan 2024
- 2022AttenFace: A Real Time Attendance System using Face Recognition14 Nov 2022
- 2021Trustworthy AI: From Principles to Practices4 Oct 2021