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

Voice verification

Voice recognition systems measure the unique way that each individual speaks.

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

One of the major benefits of using this technology is that there is no need to add new hardware - users simply speak into their phones and the recognition is dealt with at the other end or in the network by software. Earlier this year, for example, Banco Santander said it will use a voice verification system to allow staff to reset passwords.

But bad phone lines and background noise can make it hard for a system to verify an identity. With some systems there is also the danger that recorded voices can be used to trick the software - although this can be avoided by asking the person to repeat a random phrase.

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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