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

Gummi bears

Back in 2002 Japanese cryptographer Tsutomu Matsumoto showed that fingerprint readers could be fooled by the use of Gummi Bears.

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

After making a plastic mould of a real finger, he then used gelatine - the stuff that sweets are made of - to make a fake finger, which he managed to use to trick 80 per cent of fingerprint readers. The same technique was used to make copies of latent fingerprints that could also trick the readers. Some fingerprint readers measure the blood pumping through a finger or its temperature in an attempt to prevent this type of spoofing.

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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