There are different methods used for matching facial biometrics. The simplest method measures various features of a person’s face, such as the distance between the eyes, or the position of the mouth to the nose. These geometric measurements or vectors are then coded and stored in a database for later comparison. This type of system is usually used in biometric door access control readers.
There are many misconceptions about science and technology. One of the misconceptions is that biometric IP door readers store a picture of your fingerprint or face. Another one is that the Earth is a flat disc that rests on top of four elephants, on top of a turtle*.
For clarity, biometric door readers do not store a picture of your fingerprint or face, and the Earth is not flat. This article describes the technology behind biometric door readers.
Facial recognition systems are now available as part of video recording software systems.
There are two primary methods for capturing and matching facial information.
The first measures various features of a person’s face, such as the distance between the eyes, or the position of the mouth to the nose. These geometric measurements or vectors are then stored in a database for later comparison.
The second method is far more complex. It captures the full facial image and uses as much information as it can. It then uses various computer algorithms, including machine learning, to build a set of definition data. This statistical database increases the reliability, as well as the cost of the system.
Continue reading “How Does Facial Recognition Work?”