Survey&Review of Face Recognition Techniques Using MATLAB

As we all know that each human is having a face from which we identify that person. Similarly face recognition has become a most important biometric technology for recognizing human faces in todays world. The face recognition system uses multiple numbers of techniques to recognize the human faces. Thus we can say that the face recognition system is computer software which is developed for identifying and recognizing human faces in a computer programming language known as MATLAB. The main purpose of the human face recognition system is to first identify a human face then it recognizes that face by matching the input face image to its database stored face images. Finally if a best match is found then system prints a name and photo of that person who is recognized by it on the screen. Our face is not only our unique identity but also became our security system in todays world. Therefore the human face recognition system is a big mechanism used for security& surveillance. It detect criminals, terrorist and it even work well in banking access. Our approach will also be going to discuss all the face recognition techniques in 2& 3 dimension used till now. Hybrid face recognition methods can be used for better results in future. Finally here our survey paper is providing a brief review of all the research papers as well as survey papers implemented till now.