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Facial Biometric Security

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What is Facial Biometric Security?

Facial biometric security is the use of any part of the face or eye as a password. Even though facial security exists for a long time, they have seen use in consumer electronics only recently. The various facial biometric technologies include:
2D Facial Recognition with normal camera
2D Facial Recognition with infrared light
3D Facial Recognition with infrared light
3D Facial recognition with infrared dot projector
Iris Scanning
Retinal Scanning
This was a summary, to know more
Read in detail below
Biometric security is the use of a part of the human body as a unique password. Facial biometric security is the use of unique facial or optical features as a password to unlock a device.

A wallpaper with a minimalist visualization of a person and facial recognition with a teal background.
Facial recognition technology has been around since the 60s, OMRON developed the OKAO Vision Face Recognition Sensor technology for PDAs in 2005 and face unlock has been a part of Android since Ice Cream Sandwich. But most of the time facial security was inaccurate and time consuming. With continual development of technology, both the accuracy and speed of facial security has increased and is finally in widespread use and is likely to be the next big trend in biometric security.
Front view of the Samsung Galaxy Nexus with the face unlock feature.
Samsung Galaxy Nexus
The first Android phone with face unlock

What are the various types of Facial Security?

2D Facial Recognition with normal camera

This is the oldest form of facial security where no additional hardware is required. The device uses it's front camera to take an image of the subject and compares it to a previously stored image of the owner.

Old implementations of this setup can easily be fooled by an photo of the owner. But newer devices use AI to determine if the subject is alive and moving, and thus cannot be fooled easily. This setup is used in devices like the Oneplus 5T.

2D Facial Recognition with infrared light

Unlike the previous setup, this one requires an infrared LED to focus invisible light on the subject. This light bounces back and is captured by an infrared camera. Since infrared light is used, this setup can be used in the dark. It is also not possible to fool this setup with a photo. This setup is used in the Microsoft Surface Pro(Windows Hello).

3D Facial Recognition with infrared light

This setup has the same components as the previous one. The only difference is that it makes the subject move/shake his head to capture a 3D model and compares it to a previously stored 3D model of the owner. 3D recognition is more secure than 2D but this setup is more time consuming. Since it has the same hardware components, it can be set up on the Microsoft Surface Pro(Windows Hello).

3d Facial recognition with infrared dot projector

The working of the dot projector in the Apple iPhone X which powers face ID.
Face ID
In this setup, along with an infrared LED, an infrared dot projector is used which creates many invisible dots on the subject's face, this leads to better registry of shape. Thus increasing security and removing the need of the subject to move/shake his face. Such a setup can be found on the Apple iPhone X(Face ID).

Iris Scanning

Iris scanning works by scanning the pattern of both the Irises of the subject's eyes which is different for everyone. The eye is illuminated by an infrared LED and is captured by an infrared camera and compared to a previously stored sample.

Iris scanning technology is known to be vulnerable as the Iris scanner on the Samsung Galaxy S8 have been fooled by an image of the eyes and contact lenses.
A diagram labelling the various parts of the human eye.
Diagram of the eye

Retinal Scanning

Retinal scanning uses the same technology and procedure as iris scanning but instead of the pattern of the iris, it scans the pattern of blood vessels in the retina of the human eye. It is more secure than iris scanning.
Retinal scanning has yet not seen use in consumer electronics. Though retinal scanners have been used in ATMs for identity verification

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