Image–Based Face Detection and Recognition using MATLAB

Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary images. It detects facial features and ignores anything else, such as buildings, trees and bodies. We have implemented an efficient system to recognize faces from images with some near real-time variations. Our approach essentially was to implement and verify the algorithm. This method consist on weighting the difference between a given face image and a mean image, which is obtained by averaging a predefined set of faces. The training set is a group of face images from which the mean face is calculated. Face detection takes place by linearly projecting the image to a low dimensional image space and weighting the difference with respect to a set of eigenvectors. Keywords— Circular Hough Transform, Covariance matrix, Eigenvalues, Elliptical Hough Transform, Face segmentation, Raster Scan Algorithm.