Abstract
Face recognition is one of the most important fields of the modern biometric applications. Face recognition system uses two sub-systems named face detection system and image database system. Face recognition can be of feature based and image based. Feature based method uses features like skin color, eyes, nose and mouth to detect and recognize human face whereas image based method utilizes some preprocessed image sets for detection [1]. The project implements feature based face recognition system which first finds any face or faces in the color image and then matches it against the database to recognize the individuals [2]. Here, the skin color pixels are used to filter out the interesting regions of human skin from other non- interesting regions. Once the skin regions are located, facial features like mouth, eyebrow and nose are extracted to locate the human face. Then, the detected face from image will be compared with the database of training images to find a match. The project also uses the videos from web cam and the video file database to locate human faces. The live video face detection framework works on each and every frame of the video to implement the detection system. The recognition of human beings is also being performed on the video stream coming from either store video or live video from web-cam.