Abstract
Biometics,because of using the proper living creature characteristic of human body,is the totally brand new technique different from traditional personal ideniification method and it has the better safety,dependable with the usefulness,and it was payed great attention.Face recongnition is an important component of biometrics and in all kinds of methods,it is also one of the most active and challenging tasks for computer vision and pattern recognition in recent 30 years.Face recognition has a wide range of potential app1ications in the areas of public security，identification of certificate，entrance control and video surveillanee.
This paper mainly studies the approaches to the features extraction and recognition in the face database.The main contents are as follows:
(1)Give a full introduce to the contents of face recongnition,related techonology,the main implement methods and its development history.
(2)Give a introduce to the Princeple Components Analysis(PCA),K-L translation,and realized it via eigenface method.
（3）Programed it based the matlab environment and provide the experiment result and analysised it.
Key Words: Face Recongnition， Eigenface， K-L Translation, Principle Component Analysis
