| Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
|---|---|---|
| Article Number | 03035 | |
| Number of page(s) | 6 | |
| Section | Medical Biology and Medical Signal Processing | |
| DOI | https://doi.org/10.1051/e3sconf/202018503035 | |
| Published online | 01 September 2020 | |
A Score Level Fusion Method on Fingerprint and Finger Vein
1 Nanjing University of Posts and Telecommunications, College of Overseas Education, Nanjing, Jiangsu China
2 Nanjing University of Posts and Telecommunications, Science College, Nanjing, Jiangsu China
In this paper, we represent a score level fusion method on fingerprint and finger vein. Each unimodal identification system carries out processes of image preprocessing, feature extraction and feature matching to generate a vector of score. And we apply clustering analysis to split the score range into zones of interest. Then a decision tree and weighted-sum approach are used to make the decision. We test the proposed method on standard biometric database. Three metrics, namely, False Accept Rate, False Reject Rate, Recognition Rate, are used to evaluate experimental results. And experimental results show that the fusion system has a better performance than unimodal identification system.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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