Integrating Iris and Signature Traits for Personal Authentication Using User-SpecificWeighting

Biometric systems based on uni-modal traits are characterized by noisy sensor data, restricted degrees of freedom, non-universality and are susceptible to spoof attacks. Multi-modal biometric systems seek to alleviate some of these drawbacks by providing multiple evidences of the same identity. In t...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2012-04, Vol.12 (4), p.4324-4338
Main Authors: Viriri, Serestina, Tapamo, Jules R.
Format: Article
Language:English
Subjects:
Biometrics
biometrics fusion
Discriminant analysis
iris
multi-modal biometrics
Physiology
Sensors
signature
user-specific weighting
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Summary:Biometric systems based on uni-modal traits are characterized by noisy sensor data, restricted degrees of freedom, non-universality and are susceptible to spoof attacks. Multi-modal biometric systems seek to alleviate some of these drawbacks by providing multiple evidences of the same identity. In this paper, a user-score-based weighting technique for integrating the iris and signature traits is presented. This user-specific weighting technique has proved to be an efficient and effective fusion scheme which increases the authentication accuracy rate of multi-modal biometric systems. The weights are used to indicate the importance of matching scores output by each biometrics trait. The experimental results show that our biometric system based on the integration of iris and signature traits achieve a false rejection rate (FRR) of 0.08% and a false acceptance rate (FAR) of 0.01%.
ISSN:1424-8220
1424-8220
DOI:10.3390/s120404324