Real time recognition of human faces

A simple yet efficient face detection and recognition system is proposed in this paper which has the capability to recognize human faces in single as well as multiple face images in a database in real time. Preprocessing of the proposed frame work includes noise removal and hole filling in color images. After preprocessing, face detection is performed by using viola jones algorithm. Detected faces are cropped out of the input image to make computation fast. SURF features are extracted from the cropped image. For face matching, putative feature matching is carried out and outliers are removed using M-estimator Sample Consensus (MSAC) algorithm. Single as well as multiple person color images from class persons of Graz 01 dataset are used to evaluate the system.