Face Recognition using PCA, Deep Face Method

The performance process of face recognition involves the inspection study of facial features in an image, recognizing those features and comparing them to one of the many faces in the database. There are many algorithms capable of performing face recognition; such as: Principal Component Analysis, Discrete Cosine Transform, 3D recognition methods, Gabor Wavelets method etc. There were many issues to consider when choosing a face recognition method. The keys ones were: Accuracy, Time limitations, Process speed and Availability. With these in mind the PCA based method of face recognition has found to be better because: Simplest and easiest method to implement, Very fast computation time. PCA has the ability to recognizing a face with a different background is difficult. KeywordsFeed Forward, Feature Extraction, face identification factors, Face Recognition, PCA