Liveness Detection by Analysing Lips & Chin Movement

In these days, electronic authentication is one of the important services which is provided by almost all systems. Among all biometric methods, face verification is one of the most used methods and that’s because it is economical, reachable for almost everyone and it doesn’t require any specific sensors or devices. However, face authentication methods have faced with some security challenges like fraud and spoofing attacks. There are so many methods that are presented for detecting these kinds of activities that threaten the systems. These systems are known as face liveness detection. In this paper, a liveness method that detects ۲D and photo spoofing attacks in videos is provided. This method can detect fraud activities with linear calculation without using any machine learning algorithms and tools, but just by detecting and analysing the movement of user’s lips and chin. This method gives us some advantages like processing speed, lower cost and most importantly gives us the ability of real time or semi-real time liveness detection. For testing and evaluating the proposed method, two datasets have been chosen. The first dataset is a standard data set called CASIA FASD and the second one is a handmade and native dataset. At the end, by evaluating and testing the proposed method ۹۲.۳۷% accuracy on CASIA FASD dataset and ۸۹.۵۷% accuracy on native dataset was achieved.

کلیدواژه ها:

FACE LIVENESS DETECTION ، FACE SPOOFING ، LIVENESS ، LIPS MOVEMENT ، CHIN MOVEMENT