The easiest way to distinguish from person to person is the face. The personal characters of a person is used to identify individual from others, this technique is used in face recognition. There are two phases in recognizing the human face. First is the face detection and the next one is introduction. In the face detection and the processor runs a quick scan to identify the face. The next step involves identifying the person with the database and matching it. The features of the fees are unique for each person. These are merged weather database present. and developed. The popular methods that are currently used to develop the face recognition model are Eigenface method and Fisherface method. This is an exercise to identify the face and also the organs in the face, so that the taking attendance can be automated in the classrooms. This paper focused on the face detection system with the recognition of the phase using their techniques of image processing. To implement the paper MATLAB tool is used.