Facial Recognition System


What is a Facial Recognition System?

A Facial Recognition System is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through ID verification services, works by pinpointing and measuring facial features from a given image.


Facial Recognition Systems have been deployed in advanced human-computer interaction, video surveillance and automatic indexing of images. They are also used widely by law enforcement agencies.

Techniques for Face Recognition

Human Identification At A Distance (HID)

Low-resolution images of faces are improved using the face hallucination algorithm to allow human identification at a distance (HID). Faces are often very tiny in CCTV footage and it comprises techniques which take noisy or low-resolution facial images, and convert them into high-resolution images using knowledge about typical facial features. 


3-Dimensional Recognition

3-dimensional face recognition technique uses 3D sensors to capture information about the shape of a face. This information is then used to identify distinctive features on the surface of a face, such as the contour of the eye sockets, nose, and chin. It can also identify a face from a range of viewing angles, including a profile view. 


Thermal Cameras

A different form of taking input data for face recognition is by using thermal cameras, by this technique the cameras will only detect the shape of the head and it will ignore the subject accessories such as glasses, hats, or makeup. Unlike conventional cameras, thermal cameras can capture facial imagery even in low-light and nighttime conditions without using a flash and exposing the position of the camera.