Face Recognition Based on Principal Component Analysis and Fuzzy ART Neural Model

A new face recognition algorithm based on Principal Components Analysis and Fuzzy ART neural model ispresented. The method collstructs optimal "face space" from a number of typica1 face images, which can describe thedistribution of face image better. The face feature vector is obtained from the projection of face image on the constructed"face space". Then a neural network recognizer is designed and implemented on the basis of the Fuzzy ART model. Testingthe system with 4Oo face images from 40 groups, the correct recognition rate is over 95%, which demonstrates the goodpartition capability and robustness of the recognition system.