Facial Recognition Facial recognition software based on the

Facial Recognition Facial recognition software - based on the ability to recognize a face and then measure the various features of the face. Each human face has approximately 80 nodal points. Some of these measured by the software are: - Distance between the eyes - Width of the nose - Depth of the eye sockets - The shape of the cheekbones - The length of the jaw line These nodal points are measured creating a numerical code, called a faceprint, representing the face in the database.

Facial Recognition 2 D IMAGE - Acquiring an image by using digitally scanning an existing photograph - 2 D image to compare or identify another 2 D image from the database 3 D IMAGE • Acquiring an image by using video image • can be used in darkness • has the ability to recognize a subject at different view angles with the potential to recognize up to 90 degrees (a face in profile).

How Facial Recognition Works 1. Detection 2. Alignment 3. Measurement 4. Representation 5. Matching 6. Verification/ Identification

Facial Recognition Systems Uses The U. S. Program US-VISIT when a foreign traveller receives his visa, he will submit fingerprints and have his photograph taken. The fingerprints and photograph are checked against a database of known criminals and suspected terrorists. When the traveller arrives in the United States at the port of entry, those same fingerprints and photographs will be used to verify that the person who received the visa is the same person attempting to gain entry.

Facial Recognition Systems Uses closed-circuit television (CCTV) cameras A growing number of closed-circuit television (CCTV) cameras located in the United States. Police monitor the video in an effort to prevent crime and catch lawbreakers in the act. You've probably seen the cameras; they're intentionally made conspicuous. Signs let you know your actions are being recorded