A system for recognising human faces

A human face recognition system, which has a feature extraction subsystem and a recognition subsystem, has been built. An unknown human facial image is captured and digitized by a frame grabber, and features of the digitized image are extracted. The features are stored during the learning phase and are compared with the references in the memory during the recognition phase. A two-test method is used to increase the accuracy of the recognition. The first test eliminates a number of records with large differences in major features. The second test selects the one with minimum differences by calculating the total weighted error. Test results are presented