Short Notes on Face Recognition
A facial recognition system uses technologies such as biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match. It is the process of identifying or verifying the identity of a person using his/her face. Face recognition systems can be used to identify people in photos, videos, or in real-time. This technology may sound so good, but among all biometric systems, facial recognition has the highest false acceptance and rejection rates. This has raised many objections and questions on the reliability on the technology.
Practically, the reliability of Face recognition technology depends on lots of dependability and validations. The lighting systems, the type of camera and resolutions, the view, the cooperation of government and privacy issues etc. are some of the hiccups experienced using this technology.
There are two interrelated features which are different -facial recognition and facial analysis; Facial recognition matches a given photo to one observed in the past, and then to a unique identifier for the person depicted in the photo, subsequently retrieving known information about the individual. Facial analysis predicts individual data using statistical inference from the facial image itself and can be performed even on individuals one sees for the first time.
There are several usefulness and application of face recognition technology. These include:
- Facebook Deepface
- Next Generation Identification (NGI)
- Apple Face ID
- FacioMetrics etc.
You can watch out on how to enable or disable Face Recognition Settings on Facebook on this page.