Comparison Between Different Face-recognition Technique With Different Classifier

Abstract

The purpose behind our research is to build a system which can recognize a human face without help of any human. We have collected two face database which are ORL and Yale. Both the database contains images of different individuals with different face expression. We have used 80% images to train and 20% to test our system. We have used PCA as our feature extraction method and SVM and KNN and our classifier. Our main goal of our research is to compare with different combination of algorithm to find out which combination is giving us the best expected result. We have also plan to add some more algorithm in future and use real time image in our system. This research will helpful to all platform like security, prevent retail crime, for different apps and for government purposes.