Face Detection And Recognition System- Final Year Project Report (Csc-404) 

Abstract

This report documents the project outline of our Final Year Project (FYP), the
progress to date and future project plans. It also documents how the future plans will
be undertaken in the most efficient way possible to meet all criteria as of the project
outline.
Currently the detection and recognition of human face is a difficult issue due to
various parameters involved. Because of increasing interest in various fields of
applications such as personal identification, the man-machine interface, etc. Most of
the face images contain a fund to be removed / discriminate in order to detect the
human face. Thus this project is the design and implementation of a human face
detection and recognition system.
This application can capture video in real time and recognize the face that the
Webcam captures, compared to other objects that can be viewed through it. To know
that the face is detected, it is fully boxed and followed if it moves. The image is then
stored in the database with appropriate value and the operation of recognition is done.
The algorithm used for face detection is that of Viola and Jones. Similarly the
algorithm for face recognition is that of Eigen faces. This algorithm is based on
scanning the entire surface of the image for the human face, for which, first the image
is converted to gray-scale and then analyzed the image, showing results in the face
framed and finally recognition is done.