… The main challenge for a face recognition system is an effective feature extraction. In this
work, a real time face recognition system based on Principal Component Analysis (PCA), Back …

… a face recognition method based on PCA and Back Propagation Neural Network which is
robust and simple algorithm based on … We obtain 500 features face extracted using PCA. The …

… -based approach for PCA approximation (gaPCA) based on … face recognition and compare
the recognition accuracy with the one obtained by using standard PCA, on three different face …

… 11), we compare the face recognition rate with 3 well-known algorithms (PCA, LBPH, and
KNN). … using the training data, the feature space “Eigenfaces” are found through PCA. Unlike …

… In such cases recognition goes difficult. This paper focused on pose … face recognition
system and as a result we focus on face recognition system using PCA with feed forward Neural (…

… of image processing based on the Artificial Neural Network … the method of extracting face
patterns through an adaption of … with the construction of any facial recognition system. Finally, …

… of Neural Network used in multi-view face recognition system, … used neural network in face
recognition system using different … of neural network and hot it will be used in face recognition …

… proach on Face Recognition using Image Processing and Artificial Neural Networks. Combining
… improve the accuracy of face recognition system. Out of many combinations considered, …

… and achieved a 98.52% face recognition performance. Moreover, our proposed face
recognition system can robustly handle various face recognition attack under various contexts. …

… The method of real-time face recognition system uses PCA and LBP algorithms, implemented
on a Raspberry PI processor. The proposed work is more useful for society in various …