FaceSnap

Biometric Facerecognition system
 

Face Recognition

Some facial recognition algorithms identify faces by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features.[2] Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face detection. A probe image is then compared with the face data.. Our successful system is based on template matching technique applied to a set of salient facial features, providing a sort of compressed face representation.