Human Face Recognition

Performance of biometric system


Performance:

The following table shows the state of art of some biometric systems:

State of art of biometric recognition systems

Biometrics   ↓

EER  ↓

FAR  ↓

FRR  ↓

Subjects  ↓

Comment

Reference

Face

n.a.

1 %

10 %

37437

Varied lighting, indoor/outdoor

FRVT (2002)

Fingerprint

2 %

2 %

2 %

100

Rotation and exaggerated skin distortion

FVC (2004)

Hand geometry

1 %

2 %

0.1 %

129

With rings and improper placement

(2005)

Iris

< 1 %

0.94 %

0.99 %

1224

Indoor environment

ITIRT (2005)

Iris

0.01 %

0.0001 %

0.2 %

132

Best conditions

NIST (2005)

Keystrokes

1.8 %

7 %

0.1 %

15

During 6 months period

(2005)

Voice

6 %

2 %

10 %

310

Text independent

NIST (2004)


One simple but artificial way to judge a system is by EER, but not all the authors provided it. Moreover, there are two particular values of FAR and FRR to show how one parameter can change depending on the other. For fingerprint there are two different results, the one from 2003 is older but it was performed on a huge set of people, while in 2004 much less people were involved but stricter conditions have been applied. For iris, both references belong to the same year, but one was performed on more people, the other one is the result of a competition between several universities so, even if the sample is much smaller, it could reflect better the state of art of the field.

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