… Consequently, a new face dataset named “LUDB” was created for this study. For performance
analysis, two other popular dataset, AT&T and 5_Celebrity, were used with the LUDB …

… this point is characterized by its exhibit for this is used MP (x, y), as an input to various
databases, thus we get the highest match as in Figure 3. While the number of users from …

… eigenface images estimated from eigenvectors of L span a basis set. Utility of eigenvectors
varies … With the help of PCA characteristic features known as eigenfaces can be extracted out …

… provide robust recognition under different illumination conditions and facial … analysis (PCA)
technique. The principal components created by the PCA technique are used as Eigenfaces …

… recognition methods: eigenface, fisherface, and LBPH. In study one, we have compared the
performance … Images were taken at different times and under different lighting conditions, but …

… algorithms using the same parameters to control external factors that may affect the results.
… acknowledge the limitations of our study and the potential for different results under different …

… in various fields. Our proposal provides a database of the face under the circumstances of
… The present study focuses on the which recording images and places them in the database …

… Different techniques are used to perform image recognition tasks [36–38] and in this work,
we use the Eigenfaces … , we suggest to apply different techniques and methods such as …

… Table 2.1 presents data about the taxonomy and the performance evaluation that is …
Different stages of the eigenfaces based recognition system were highlighted within the flowchart …

… constrained conditions [4]-[5]. However, their performance significantly degrades when
face images are obtained under diverse conditions, such as variable illuminations, emotions, …