1. Face Recognition
Abstract
Human face detection and recognition play important roles in much application such as video
surveillance and face image database management. In our project, we have studied worked on
face recognition techniques and developed algorithms for them. In face detection, we have
developed an algorithm that can detect human face from the video and extract the face from the
video and display the image in the frame and count the particular image display in that video. We
have taken real life examples and simulated the algorithms in DOTNET successfully.