%0 Journal Article
%T An Efficient GUI Face Recognition System Based on Dirichlet Laplacian Awareness
%A Mamoud Elgamal
%J ARPN Journal of Systems and Software
%D 2012
%I ARPN Publishers
%X The eigenvalues of Dirichlet Laplacian used efficiently as a curve descriptor to generate three different sets of features for shape analysis and classification in binary images[5]. For the binary images the generated features are rotation-, translation-, and size-invariant. It was shown that the three sets of features were tolerant of boundary noise and deformation. These features are used to develop a graphical user interface for inquiry of facial images among the database with/without noise. The recognition has been done with a high degree of accuracy and using a relatively small number of features.
%K EigenvaluesFinite difference method
%K Curve descriptor
%K Binary image classification
%K noise
%U http://scientific-journals.org/journalofsystemsandsoftware/archive/vol2no6/vol2no6_2.pdf