Liang, Y;
Ding, X;
Liu, C;
Xue, J-H;
(2016)
Combining multiple biometric traits with an order-preserving score fusion algorithm.
Neurocomputing
, 171
pp. 252-261.
10.1016/j.neucom.2015.06.039.
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Abstract
Multibiometric systems based on score fusion can effectively combine the discriminative power of multiple biometric traits and overcome the limitations of individual trait, leading to a better performance of biometric authentication. To tackle multiple adverse issues with the established classifier-based or probability-based algorithms, in this paper we propose a novel order-preserving probabilistic score fusion algorithm, Order-Preserving Tree (OPT), by casting the score fusion problem into an optimisation problem with the natural order-preserving constraint. OPT is an algorithm fully non-parametric and widely applicable, not assuming any parametric forms of probabilities or independence among sources, directly estimating the posterior probabilities from maximum likelihood estimation, and exploiting the power of tree-structured ensembles. We demonstrate the effectiveness of our OPT algorithm by comparing it with many widely used score fusion algorithms on two prevalent multibiometric databases.
Type: | Article |
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Title: | Combining multiple biometric traits with an order-preserving score fusion algorithm |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.neucom.2015.06.039 |
Publisher version: | http://dx.doi.org/10.1016/j.neucom.2015.06.039 |
Language: | English |
Additional information: | (C) 2015 Elsevier B.V. This manuscript is made available under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International license (CC BY-NC-ND 4.0). This license allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licenses are available at http://creativecommons.org/ licenses/by/4.0. Access may be initially restricted by the publisher. |
Keywords: | Score fusion, Multibiometric system, Order-preserving algorithm, Tree-structured ensemble |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1475644 |
1. | United States | 12 |
2. | China | 7 |
3. | Switzerland | 2 |
4. | Australia | 2 |
5. | Japan | 1 |
6. | Russian Federation | 1 |
7. | Ecuador | 1 |
8. | Canada | 1 |
9. | Bangladesh | 1 |
10. | United Kingdom | 1 |
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