International Journal of Engineering Trends and Technology
Face recognition from the images is challenging due to the unpredictability in face appearances and the complexity of the image background. This paper proposes a different approach in order to recognize human faces. The face recognition is done by comparing the characteristics of the captured face to that of known database. This paper suggests a face detection and localization unit to extract mouth end points and eyeballs and an algorithm to calculate distance between eyeballs and mouth end points.