Automated Attendance System through Eigen Faces Using Image Processing

Received August 2, 2016 Revised October 7, 2016 Accepted November 1, 2016 Eigen faces (PCA) approach for face recognition. The face is an important part of which you are how people identify you. In face recognition there are two types of comparisons verification and identification. There are about 80 nodal points on a human face here are few nodal points that are measured by software that are distance between eyes, width of the nose, Depth of the eye socket, Check bones, Jaw line and Chin By this method we can take automatic attendance .face recognition is done by projecting new image onto a low dimensional linear “face space” defined by the Eigen faces. This method is reliable, low cost, faster access and reduces man power. Keyword: