Standard face recognition techniques.

Abstract

Face recognition is one the most trending technologies which is used everywhere in the present world. It involves the scanned part of our body parts which are unique to everyone and are stored in a database which makes hackers impossible to steal passwords or any personal information.It has a lot many advantages and helps a lot to scientists, political parties to protect their private party matters from stealing by the other parties or the hackers. Face recognition involves a lot of coding and it even requires mathematical knowledge to retrieve one’s information. Mathematics topics like eigen vectors and integration is used to retrieve data, since these eigen values and integration take the lengths of the body parts computer interaction. Now that face recognition makes hackers impossible to steal someone’s passwords and hack their belongings that have to be safe guarded. Face recognition is useful for people like- journalists, political parties to ensure their data is safe and to protect their data from stealing by other political parties or by the stealers. Our topic is face recognition which one of the most used technology in our daily lives. It involves scanning of face and get the points on the face which is unique for everyone and it get the points using mathematics topics like eigen vectors and integration. It also involves python language and matlab language. Matlab is used to get the mathematical values and python is general coding language which is used in biometrics and it is also used in artificial intelligence and machine learning. Python has inbuilt libraries which we make use of them and get the face values. All these faces are stored in databases and whenever we keep a live face it recognizes the face of the person which is already present in the database. Even face recognition is used in the data security and high security labs where only limited people have access to control over the labs. So face recognition is even used there to ensure high security to the companies. Almost all the software companies, educational institutions have these face recognition technology to ensure the fraud or make their more comfortable.And now in our project we look this complex process will happen in simpler terms.