… Eigenface Matching As a baseline comparison, we first used an eigenface matching technique
for recognition [9… A few of the lower-order eigenfaces used for this projection are shown in …

… ωM] that describes the contribution of each eigenface in representing the input face image.
The vector may then be used in a standard pattern recognition algorithm to find out which of a …

… verify the algorithm Eigenfaces for Recognition, which solves the recognition problem for …
the ‘eigenfaces’ which are the eigenvectors of the set of faces. These eigenfaces contribute in …

… These characteristic features are called eigenfaces in the facial recognition domain (or
principal … Usually, we will use only a subset of M eigenfaces, the M eigenfaces with the largest …

… eigenface face recognition system can be divided into four main segments: (1) Creation of the
eigenface … a very simple implementation of eigenfaces face recognition. Recall from above …

… presents an eigenface based approach for face recognition, … Recognition is accomplished
by computing the distance … This eigenface method is robust for face recognition which works …

… This paper presents a new method called Reduced Image Eigenfaces (RE), based on the
Eigenfaces model (PCA) to achieve a better performance in faces recognition. Results are …

… of an eigenface into two orthogonal eigenspaces for realizing robust face recognition under
… This paper analyzes the eigenface approach and proposes a decomposition of EF for the …

… For each selection of eigen-faces we also change the number of selected LDA significant …
each selection of eigen-faces. It means that for example if number of the eigenfaces is equal to …

… Table 2 shows the recognition results. As can be seen, Fisherfaces performs comparably
to our algorithm on this database, while Eigenfaces performs poorly. The error rate for …