Abstract
An access control system that automatically logs in a user by his or her facial information is described. Furthermore, a method for automatically tracking logged data, based on a repetitive operation of template improvements, is shown. Face recognition is a favorable variety of biometrics for personal identification because user's facial images can be captured successively from a standard video camera at a distance. Two models of the system using face recognition were tested to prevent fraud and to create automatic registration. Experimental results for a six-month test showed that the tracking capability of the method is quite practicable; the equal error rate for false rejection and false acceptance (EER) is only about one percent.
