Abstract
Multimodal biometric authentication is gaining more and more attention recently. In [1], a Reduced Multivariate Polynomial model has been used to combine the biometric classifiers with good performance. Although the model parameter can be solved very quickly, it may not be suitable in case when new registration is a frequent task. Moreover, due to wear and tear of sensors, the distribution of match scores can change with time and hence the performance of a fixed classifier may be affected. In this paper, we introduce an adaptive algorithm to track these changes. The new algorithm is demonstrated to address both the registration and match scores distribution changing problems using two biometrics.
| Original language | English |
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| Title of host publication | 2004 IEEE Conference on Cybernetics and Intelligent Systems |
| Pages | 981-985 |
| Number of pages | 5 |
| Publication status | Published - 2004 Dec 1 |
| Event | 2004 IEEE Conference on Cybernetics and Intelligent Systems - , Singapore Duration: 2004 Dec 1 → 2004 Dec 3 |
Publication series
| Name | 2004 IEEE Conference on Cybernetics and Intelligent Systems |
|---|
Other
| Other | 2004 IEEE Conference on Cybernetics and Intelligent Systems |
|---|---|
| Country | Singapore |
| Period | 04/12/1 → 04/12/3 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Adaptation to changes in multimodal biometric authentication. / Tran, Quoc Long; Toh, Kar Ann; Srinivasan, Dipti.
2004 IEEE Conference on Cybernetics and Intelligent Systems. 2004. p. 981-985 (2004 IEEE Conference on Cybernetics and Intelligent Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Adaptation to changes in multimodal biometric authentication
AU - Tran, Quoc Long
AU - Toh, Kar Ann
AU - Srinivasan, Dipti
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Multimodal biometric authentication is gaining more and more attention recently. In [1], a Reduced Multivariate Polynomial model has been used to combine the biometric classifiers with good performance. Although the model parameter can be solved very quickly, it may not be suitable in case when new registration is a frequent task. Moreover, due to wear and tear of sensors, the distribution of match scores can change with time and hence the performance of a fixed classifier may be affected. In this paper, we introduce an adaptive algorithm to track these changes. The new algorithm is demonstrated to address both the registration and match scores distribution changing problems using two biometrics.
AB - Multimodal biometric authentication is gaining more and more attention recently. In [1], a Reduced Multivariate Polynomial model has been used to combine the biometric classifiers with good performance. Although the model parameter can be solved very quickly, it may not be suitable in case when new registration is a frequent task. Moreover, due to wear and tear of sensors, the distribution of match scores can change with time and hence the performance of a fixed classifier may be affected. In this paper, we introduce an adaptive algorithm to track these changes. The new algorithm is demonstrated to address both the registration and match scores distribution changing problems using two biometrics.
UR - http://www.scopus.com/inward/record.url?scp=11244346955&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=11244346955&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:11244346955
SN - 0780386442
SN - 9780780386440
T3 - 2004 IEEE Conference on Cybernetics and Intelligent Systems
SP - 981
EP - 985
BT - 2004 IEEE Conference on Cybernetics and Intelligent Systems
ER -