What is a biometric?

The three main types of authentication available today are:

  • something you know – e.g. a password, a PIN, or a code
  • something you have – e.g. a swipe card, smart card, a token or a key
  • something you are – a biometric

Of these biometrics is the most secure and convenient for authentication. It can’t be taken, borrowed, forgotten or written down.

Biometrics involves measuring an individual’s unique physical or behavioural characteristics to determine or verify their identity. Common physical biometrics include fingerprints, hand or palm geometry, face, iris or retina. The most widely used physical biometric is fingerprint.

Behavioural biometrics include signature, voice (with a physical aspect), keystroke pattern and gait. Of this class the most developed technologies are signature and voice.

Why Use Biometrics?

Greater security and convenience

  • Convenience: nothing to lose or forget
  • Security: cannot be guessed, transferred or stolen and is unique

Higher productivity and lower costs

  • No one is locked out because of lost cards or forgotten or expired passwords
  • Less support calls.

Studies have shown that maintaining Windows passwords, for example, costs companies $150 per user, per year.

Fingerprint Biometrics

Fingerprint biometrics is based on the patterns on the fingerprint which have been used for identification purposes for centuries. There are a variety of techniques and systems which use the unique features of the fingerprint to identify it. Some of these features are-

  • Minutiae points. These are the points where fingerprint ridges lines start, stop, or fork. A typical fingerprint has around 70 minutiae points

  • Ridge pattern/density



  • Core area
  • Delta
  • Type Lines
Hand Geometry

Hand geometry biometrics involves analysing and measuring the hand’s shape. This uses the overall geometry of the hand, not individual fingerprints. This biometric is relatively easy to use. It could be suitable where the system is used infrequently or where users are somewhat less disciplined in their use of it.

Accuracy can be good and it can be used for a wide range of applications. Hand geometry has been popular for time clocking and access control.

Iris

Iris scan biometrics looks at the features found in the rings of tissue surrounding the pupil. Iris scan uses a camera and does not require close contact between the user and the sensor. It has the potential for high recognition performance and can work while the user is wearing glasses.

Face

Face recognition analyses the characteristics of the face. This technique has attracted a lot of interest but has generally only been used to date for some specialised applications such as within airports or casinos. Face scan requires more elaborate hardware and is more expensive than other popular biometrics.

Biometric Recognition Performance

The performance of a biometric system can be characterised by the:

  • False Acceptance Rate (FAR): This is the probability that an intruder or someone not entitled to access is accepted by the system. This constitutes a serious security breach. For finger, hand and iris systems this ranges from 0.1% - 0.000001%. Many users of such systems find they are now perfect are for all practical purposes.
  • False Rejection Rate (FRR): This is the probability that a legitimate user will be rejected by the system. This is not really a security breach but is an annoyance for the user (since it requires a second attempt). For a typical fingerscan system it is 1% - 0.1%.
Components of Biometric System

Top