• Aryabhatta Infosys

Face Recognition System

Biometric facial recognition systems will measure and analyze the overall structure, shape and porportions of the face: Distance between the eyes, nose, mouth, and jaw edges; upper outlines of the eye sockets, the sides of the mouth, the location of the nose and eyes, the area surrounding the cheekbones. At enrolment, several pictures are taken of the user's face, with slightly different angles and facial expressions, to allow for more accurate matching. For verification and identification, the user stands in front of the camera for a few seconds, and the scan is compared with the template previously recorded. To prevent an image / photo of the face or a mask from being used, face biometric systems will require the user to smile, blink, or nod their head. Also, facial thermography can be used to record the heat of the face (which won't be affected by a mask). The main facial recognition methods are: feature analysis, neural network, eigenfaces, and automatic face processing.