Currently, several face-recognition products are commercially available. Algorithms developed by the top contenders of the FERET competition are the basis of some of the available systems; others were developed outside of the FERET testing framework. While it is extremely difficult to judge, three systems -- Visionics, Viisage, and Miros -- seem to be the current market leaders in face recognition.
Visionics' FaceIt face recognition software is based on the Local Feature Analysis algorithm developed at Rockefeller University. FaceIt is now being incorporated into a Close Circuit Television (CCTV) anti-crime system called `Mandrake' in United Kingdom. This system searches for known criminals in video acquired from 144 CCTV camera locations. When a match occurs a security officer in the control room is notified.
Viisage, another leading face-recognition company, uses the eigenface-based recognition algorithm developed at the MIT Media Laboratory. Their system is used in conjunction with identification cards (e.g., driver's licenses and similar government ID cards) in many US states and several developing nations.
Miros uses neural network technology for their TrueFace face recognition software. TrueFace is used by Mr. Payroll for their check cashing system, and has been deployed at casinos and similar sites in many US states.