Biometric authentication has increasingly incorporated into our everyday lives - from smartphones unlocked with faces to office doors accessed via facial recognition. And using of biometric authentication will be increasing drastically since businesses want to protect their systems from potential face spoofing and fraud. Speaking about the global biometrics market numbers, it will grow to an astounding $82.8 billion by 2027. But what is liveness detection? How does liveness detection work? Is it effective in preventing fraud? In this article we will answer all these questions.
What is liveness detection?
Liveness detection is the process of verifying an individual’s liveness - it detects whether a biometric authentication sample is a live human being or a fake representation.The system may ask a user to make a selfie or to prove their liveness by live video. Liveness detection helps to prevent spoofing attempts, for example, if someone trying to access the system with a face mask, photo or a deep fake video, it will not allow the individual to access this system.
What is the difference between facial recognition and liveness detection? Both these technologies are connected and can be used by businesses together but they are not the same.
Facial recognition analyzes and compares facial features to identify individuals. The technology compares the facial features in an image to a reference database of known individuals. Liveness detection determines whether a face in an image is real or a spoof but it doesn’t identify who the person is.
Learn more here: What is Liveness Detection and How Does it Work?
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