Few biometric verification systems are sparking people’s imagination quite like face verification. The use of this form of authentication is becoming increasingly widespread, especially on mobile devices. However, between advances in print and digital image resolution and easy access to online images, biometric systems need to be more secure.
The method of identifying
This is a method of identifying and authenticating the identity of a person using his/her face. Face verification systems can identify individuals in real-time, video, or photos. Law enforcement officials may also use this technology to identify individuals during police stops. Face recognition data, however, can be prone to errors, which can implicate individuals for crimes they did not commit.
How Face Recognition Works
This type of authentication system uses a computer algorithm to pick out distinctive traits about a person’s face. The system then converts details such as the shape of the chin or the distance between the eyes into a mathematical representation. Next, it compares the representation with data on other faces in a face recognition database. This face template is different from a photograph since it only includes certain details to distinguish one face from another.
Instead of identifying an unknown individual, some face verification systems calculate a probability match score between specific face templates in the database and the unknown individual. It then provides several potential matches, ranked according to the likelihood of correct identification.
Liveness Detection
Facial liveness is emerging as one of the most effective ways to prevent fraud and ensure the integrity of facial biometrics. When it comes to authentication, facial recognition determines whether one is the right individual. However, it does not determine whether it is a real person. This is where liveness detection comes in handy.
This technology works with a biometric system to analyze and measure physical reactions and characteristics to determine whether the captured biometric sample comes from a living subject present at the point of capture.
Understanding the difference between active and passive facial liveness is important. Most of the modern facial liveness detection technologies are active. They require users to turn their heads, blink, or move their phones back and forth.
This prevents fraudsters from using a photograph with cut-out eye holes or a mask from tricking the system. Additionally, active facial liveness detection puts attackers or fraudsters on alert that the system is checking them.
Facial recognition is one of the most natural biometric measurements, and for a good reason. People do not recognize each other by looking at fingerprints or irises. Rather, they do so by looking at each other’s faces.