Automatic Liveness Detection from Facial Images

Abstract

In an increasingly digital world, protecting confidential information is becoming more difficult. Traditional passwords and keys no longer provide enough security to ensure that data is kept out of the hands of hackers and unauthorized individuals. This is where biometric security can transform the technology sector. Biometric authentication devices use unique traits or behavioral characteristics, such as fingerprint, hand, face, eye (iris or retina), and voice recognition, to authenticate access to electronic assets. Because biometric information is unique to each person as various biometrics systems have been developed around unique characteristics of individuals, the probability of 2 people sharing the same biometric data is virtually nil, cannot be shared because a biometric property is an intrinsic property of an individual, also it can’t be lost only in case of serious accident