Anti-spoofing methods in face recognition

Anti-spoofing, Face

Speaker Recognition Anti-spoofing

Progress in the development of spoofing countermeasures for automatic speaker recognition is less advanced than equivalent work related to other biometric modalities. This chapter outlines the potential for even state-of-the-art automatic speaker recognition systems to be spoofed. While the use of a multitude of different datasets, protocols and metrics complicates the meaningful comparison of ...

Mask spoofing in face recognition and countermeasures

In this paper, initially, the impact of mask spoofing on face recognition is analyzed. For this purpose, one baseline technique is selected for both 2D and 3D face recognition. Next, novel countermeasures, which are based on the analysis of different shape, texture and reflectance characteristics of real faces and mask faces, are proposed to detect mask spoofing. In this paper, countermeasures ...

Face Recognition Systems under Spoofing Attack

Face recognition system is one of the most successful application of computer vision, which has been deployed largely in recent years. In last decade, several algorithms for face recognition have been proposed in the literature. To increase reliability of face recognition systems, the systems must be able to differentiate between real genuine faces and fake faces (spoofed faces). In this paper,...

Multimodal Anti-spoofing in Biometric Recognition Systems

While multimodal biometric systems were commonly believed to be intrinsically more robust to spoof attacks than unimodal systems, recent results provided clear evidence that they can be evaded by spoofing a single biometric trait. This pointed out that also multimodal systems require specific anti-spoofing measures. In this chapter we introduce the issue of multimodal anti-spoofing, and give an...