%0 Journal Article
%T COMPARISON OF EIGEN FACES AND ARTIFICIAL NEURAL NETWORKS IN FACE RECOGNITION
%A Hakan Kek¨¹l
%A Halil Arslan
%A H¨¹daverdi Bircan
%J -
%D 2018
%X In this study, two basic methods of face recognition and comparison with the operation of the feature-based methods and modeled in face recognition systems two methods are intended to be designed so as to generate different alternatives. For this purpose, eigenfaces for the view-based method and artificial neural Networks for the feature-based method are used. The systems were trained using different data bases for eigenfaces and artificial neural networks, and the results of the test data and Networks were compared. The recognition performances in different situations and their performance against the difficulties of the face recognition problem have been evaluated. It has been determined that the two systems may be alternatives for different situations
%K Y¨¹z Tan£¿ma
%K £¿zy¨¹zler
%K Yapay Sinir A£¿lar£¿
%U http://dergipark.org.tr/uybisbbd/issue/37798/430914