Facial Recognition Systems

Facial recognition systems are computer programs that are used for automatically identifying a person. Research on this technology started in the mid 1960s. This technology works by using several facial features in a person's image and comparing these with existing images in the database. Facial recognitions systems are used as an additional and mass security measure and are comparable to the other biometric security systems available today such as retina scanners, fingerprint scanners, etc.

Facial recognition systems have a wide range of commercial, government and military applications. The system is also slated for use in airports to speed up identity verification processes and to increase security. The system can also be used in ATMs to ensure that the one making the withdrawal is the card's owner. Mexican government also made use of facial recognition systems to match their voters from their database to verify identity and minimize voter fraud.

The important factor in facial recognition systems is its ability to differentiate between the background and the face. This is especially important when the system has to identify a face within a crowd. The first step in facial recognition is acquiring a real image or a two-dimensional image of the target. The system then determines the alignment of the face based on the position of the nose, the mouth, etc. After alignment, the system makes a facial template and proceeds to match it with the images in the database. There are approximately 80 nodes comprising the face print that the system makes use of and this includes the jaw line length, eye socket depth, distance between the eyes, cheekbone shape, and the width of the nose. There are 2 type of Facial Recognition