An Overview of Face Liveness Detection
It addresses security vulnerabilities in biometric systems for users and developers, but is incremental as it provides an overview rather than new research.
The paper tackles the problem of spoof attacks in face recognition systems by reviewing and categorizing face liveness detection approaches to understand different attack scenarios and their solutions, aiming to guide future development of more secure methods.
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.