  Face recognition from image or video is a popular topic in biometrics
research. Many public places usually have surveillance cameras for video
capture and these cameras have their significant value for security purpose. It
is widely acknowledged that the face recognition have played an important role
in surveillance system as it doesn't need the object's cooperation. The actual
advantages of face based identification over other biometrics are uniqueness
and acceptance. As human face is a dynamic object having high degree of
variability in its appearance, that makes face detection a difficult problem in
computer vision. In this field, accuracy and speed of identification is a main
issue.
  The goal of this paper is to evaluate various face detection and recognition
methods, provide complete solution for image based face detection and
recognition with higher accuracy, better response rate as an initial step for
video surveillance. Solution is proposed based on performed tests on various
face rich databases in terms of subjects, pose, emotions, race and light.
