Fingerprint Liveliness Detection in Biometric Authentication: A Survey

Abstract

In the world of cyberspace, presentation attacks (PA) on biometric systems have grown to be a major worry. The review of the literature suggests that these systems are more susceptible to spoofing or presentation attacks (PAs), which frequently cause the authentication or identification system to completely fail. To combat against presentation attacks (PAs), the presentation attack detection (PAD) or antispoofing methods have been developed to validate the liveness of the fingerprint presented by the user. But as artificial intelligence (AI) has grown, the research community has suggested a number of hardware- and software-based safeguards. The presentation attack detection PAD strategies are divided into two primary categories based on the type of needs, namely: (1) hardware (HW) and (2) software (SW) based approaches. This study’s primary goal is to provide an overview of previous research on the fingerprinting of the presentation attack detection (PAD) technique. The study discusses the various fingerprint liveliness detection techniques so far available. Additionally, we go through the main issues for future study and work that must be aggressively addressed in the area of fingerprint liveness detection.