… approach uses Principal Component Analysis (PCA) algorithm for the recognition of the …
face recognition. The approach using Eigenfaces and PCA is quite robust in the treatment of …

… Overview of the PCA algorithm: The algorithm for the facial recognition using eigenfaces
is … First, the original images of the training set are transformed into a set of eigenfaces E. …

… a face recognition method based on the eigenfaces approach. … Eigenfaces are calculated
by using PCA algorithm and … of eigenfaces used in face space to calculate the face descriptors …

… -Face is a complex multidimensional visual model and developing a computational model
for face recognition is … Eigenfaces are calculated by using PCA algorithm and experiment is …

… by comparing its position in face space with the position of … of Eigenface approach for
human face recognition. Section 3 has brief description of steps involved in Eigenface algorithm. …

… This article will apply the human face recognition system using the eigenface … algorithm
is Eigenface approach. This article will apply human face recognition system using eigenface …

… detection. In the face detection step, we need to use the various algorithms like Ada-Boost
algorithm, neural networks, support vector machines, etc. the efficiency of Ada-Boost …

… face image vector will be the output of the face recognition … a real-time face recognition
system using Eigenface method. This … of algorithms reached 98.8% for face detection and 99.2% …

… The purpose of this research is to build face recognition software using eigenface algorithms.
The results showed that faces could be recognized using the eigenface algorithm with an …

… The training algorithm uses the face feature … image is given for facial recognition process,
then the corresponding feature vectors are computed using already calculated eigenfaces and …