Contradictory of the Laplacian Smoothing Transform and Linear Discriminant Analysis Modeling to Extract the Face Image Features

[...]the method is started to calculate contradictory of the laplacian smoothing matrix. [...]we calculate the new space modeling on the contradictory of the laplacian smoothing. [...]we calculate eigenvectors of the discriminant analysis. The results showed that the resulting features can eliminate the dominant characteristics. [...]we proposed to reverse the values (as the first contradictory) to appear the dominant characteristics. Errors in facial image recognition occur because the training data selected does not represent all models of the tested image, this is evidenced by the addition of training images with different models can improve the accuracy of face image recognition as shown in Figure 3 4.2.The Results of the YALE Database The images on the YALE database are influenced by lighting, therefore the face images are harder recognized than face images on the ORL database, though the YALE database has fewer images than the images on the ORL database. Because the YALE database has fewer images than the ORL database, therefore we only conducted 144 experimental to evaluate the robustness our proposed method.