Machine Learning Method for Face Spoofing: A Review

Abstract

Digital data has always been the most worthless asset of human beings. In modern years, it has gain large importance. With the initiation of technologies that use data, safety has become a major anxiety. Nearly all biometric systems use face detection. The industry around facial recognition technology is rapidly maturing due to advances in AI, ML and deep learning technologies. Facial recognition is a technology that is capable of recognizing a person based on their face. It employs machine learning algorithms which find, capture, store and analyse facial features in order to match them with images of individuals in a pre-existing database. These systems are unguarded against spoofing attacks due to lack of face liveness detection facilities. This paper gives a brief overview of various face anti-spoofing techniques. This paper also covers different methodologies for face spoofing detection, description of the experimentation databases available for face spoofing detection and aims to provide new research direction in this field.