The A to Z of biometrics

Fingerprint, iris, palm, gait and keystroke - we've got the lot...

By Steve Ranger, 20 July 2006 13:25

NEWS

Facial recognition

Facial recognition systems work by using the 80 different nodal points or landmarks on the human face - the valleys and peaks - made by features.

The list from A to Z

Click on the links below to find out more on each of the entries in the list.

A is for Accuracy
B is for Behavioural biometric
C is for Cash machine
D is for Database
E is for Ear
F is for Facial recognition
G is for Gummi bears
H is for Hand geometry
I is for Iris
J is for Juan Vucetich
K is for Keystroke dynamics
L is for Liveness testing
M is for Mobile phones
N is for Network security
O is for Oxford
P is for Palm
Q is for Queues
R is for Registration
S is for Signature verification
T is for Twins
U is for Universality
V is for Voice verification
W is for Walk
X is for X-ray
Y is for Young
Z is for Zurich Airport

These measurements include the distance between eyes, cheekbones, jaw-line or chin.

The use of this biometric is widespread and increasing - police in the UK are already investigating how to incorporate facial recognition software into a new national mugshot database.

The DVLA is also exploring whether the facial images derived from passport photographs and held in its own database can be used for machine-assisted face recognition. The UK ID cards project is also likely to use facial recognition.

Comments

There are 3 comments. Join the discussion

  1. 1. Karen Challinor

    It would be interesting to know which of these have published positive and negative failure rates

  2. 2. Mike Murray

    Biometric Access Protection Devices and their Programs Put to the Test

    http://www.heise.de/ct/english/02/11/114/

  3. 3. Martin George

    Iris recognition has actually been around for more than 20 years - a key patent "Flom and Safir" expired in Feb 2006. This has opened to door to commercial competition. Companies like ours are opening up the market with low cost camera devices, and low cost business models for algorithm deployment on devices and on server farms, where large scale cross-matching must take place for ID applications like Cards and Border Control.

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