In order to determine someone's identity, facial recognition software compares newly captured images with images stored in a database. The core of the FaceIt facial recognition system is the Local Feature Analysis (LFA) algorithm. This is the mathematical technique used by the system when encoding holes. The system measures the facial hole and generates a facial pattern, which is a unique numerical code for the face.

There are various recognition methods for facial recognition systems, but they usually involve a series of steps such as capture, analysis, and comparison, comparing your face with images stored in the database. The following is the basic process used by the FaceIt system to capture and compare images: