Biometric points

For example, in the case of a facial scan, biometric points might be placed at the tip of each ear lobe and in the corners of both eyes.

Measurements taken between all the (possibly hundreds of) points of a scan are compiled and result in a numerical "score" (which can be quite large).

[citation needed] For security systems using cameras, people recognition has become, in recent years, one of the most common forms of identification.

It can operate in two modes: For the scientist, biometrics is the science of measuring physical properties of living beings and for the engineer it is the automated recognition of individuals based on their behavioural and biological characteristics.

Examples are characteristic measurements extracted from a photograph of a face, such as eye distance or nose size.

Due to the statistical nature of biometric samples there is generally no exact match possible.

In order to make an accurate comparison and determine if there is a match, the system requires a shape or points measurement to be compared against the information in the database.

This process must be discriminating, quick to compute, concise to store, pose-independent and efficient to match.

Seventy-three so-called anthropometry landmarks were extracted from the scans of a database used to create this system.

Those points with separations that are pose-independent and feasibly findable in a camera’s field of view are connected by a single large bone.

Biometrics points are useful for making identifications with cameras systems, but they depend on the existence of a previously generated database so that distances can be compared.

Beside the most common use for people recognition in security systems, they can be used in Kinect for parental control.

Biometric selection body parts Kinect age verification SANS Institute InfoSec Reading Room Human identification CAESAR project Silhouette-based Human Identification from Body