Facial recognition technology is used to automatically identify/verify a person from a digital image or a video frame. This is done by comparing selected facial features from the image and a facial database.
Over the last ten years or so, face recognition has become a popular area of research in computer vision and one of the most successful applications of image analysis and understanding. It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.
A newer trend that claims to have improved recognition is 3D. It uses specialized sensors to capture information about the shape of a face. It is more focused on particular features, such as the contour of the eye sockets, nose and chin. A huge plus is that changes in lighting does not affect it. The sensors work by projecting structured light onto the face.
Skin Texture Analysis
This technique uses the visual details of the skin, as captured in standard digital or scanned images. This technique is able to turn unique lines, patterns and spots on a person’s face into a mathematical space.
Facial recognition is becoming more accessible even through the development of apps. In short, it works by: capturing, extracting, comparing and matching. A technology that is heavily focused on security will surely only continue to grow.