Eigenface Method Based On Principal Component Analysis In Face Recognition Applications

Face Recognition is a user-friendly technique for personal identification,which is regarded as an important direction of biometric recognition techniques.It is a complex and difficult problem that is important for surveillance and security, telecommunications,digital libraries,video meeting,and human-computer intelligent interactions.Despite the fact that human faces are essentially similar,we are very skilled at recognizing the identities of people from their faces.We can perform this task very easily and it is a basic and important social act although we are still puzzled with the psychological and physiological nature of the process.On the foundation of traditional Eigenface identification, have put forward the improvement in order to reach the purpose that raises identification rate and identification speed: On the basi of the different role in person's different part ,give different right value to carry out face identification.The Eigenface identification method after experiment proof and improvement is better than traditional feature face method.