Face recognition is algorithms and software to draw patterns to people’s faces. The human face, even with differences from person to person, has a standard structure that is constant, and programs perceive them as commonalities that change based on the technology’s complexity.
Each recognition system follows the same basic principle: recognize faces in geometric and algorithmic forms and then join them into the puzzle.

It is the first thing to recognize by using the lens of a camera ( webcam, cell phone security, etc.) that the majority or all of these features in common, for example, the eyes, their distance as well as the nose’s length and the mouth, cheeks and the chin which limits the appearance of the face as well as the area it occupies it. These areas will be recorded as part of database algorithms that can recognize them by calculations. This sounds simple. However, it took a while to be consolidated to the level of efficiency we have now.

How do you recognize faces that are changing?
Technology has evolved the ability to identify faces that change due to aging, for example, a significant change over the past decade. As with all technologies, facial recognition was also born with limitations and flaws.

The most important issue was abrupt changes that could alter the recognition, such as the movement of the face that should be ultimately facing the machine. The seemingly insignificant modifications, like the lighting of the area or the use of equipment like caps, or even grimaces, can hinder recognition.

But, before, the recognition was based on 2D flat points like sketching; modern technology allows recognition using three dimensions. The algorithms developed are more complex, and the camera requires support for depth. However, it will also improve the rate of verification and comparison.

Additionally, the volume and accessibility of databases are becoming increasingly influential; for instance, that has enabled us to “train” robots, even more to recognize people from one another.

The most common thing that is recorded is the appearance of the head of the person to ensure that the face of the user is recognized at whatever angle they are positioned about the camera. Also, changes to the surrounding environment and even minor head movements no longer affect recognition if you have top-quality equipment.