How do face recognition algorithms detect human faces?
The face recognition process is performed in two stages. In first stage, the facial features of a person having unique identity are recorded. Where as in second stage, captured features are classified and matched with available database.
The first one is called geometric technique in which distinguish features are recorded. The second technique is called photometric technique in which every image is converted into values for comparison.
The measurement system uses 3 dimensional feature which captures facial textures from different angles with the help of sensors. Facial recognition system software uses multiple technique. It uses Skin texture analysis to cover the skin part of human. Thermal imaging is also used to capture energy level in low light conditions.
How can facial recognition technology enhance security?
Face recognition technology help to identify human face. The Identification is done either from image or video. The recognition system uses multiple methods of capturing facial features and comparing with the already captured data.
It uses Biometric Artificial Intelligence application to identify human and analyze facial textures of a person. Facial recognition system is a form of security feature just like a fingerprint or Iris recognition system.
The measurement system uses 3 dimensional feature which captures facial textures from different angles with the help of sensors. Facial recognition system software uses multiple technique. It uses Skin texture analysis to cover the skin part of human. Thermal imaging is used to capture energy level in low light conditions.
The facial recognition technology gives enhance security compared to fingerprint and Iris recognition system. The face of a person can be easily detected even in the crowded place without disclosing it.
Its application and acceptability has increased over the years due to quick response and practicality. In addition. Non contact nature of application has increased its popularity and demand over the time.
Facial recognition algorithm capture features such as size, position, shape and color of parts of person which includes eyes, nose, cheekbones and jaw. This algorithm uses two techniques. The first one is called geometric technique in which distinguish features are recorded. The second technique is called photometric technique in which every image is converted into values for comparison.