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Content Provider | IEEE Xplore Digital Library |
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Author | Kumar, A. Shekhar, S. |
Copyright Year | 2010 |
Description | Author affiliation: Department of Computing, The Hong Kong Polytechnic University, Hong Kong (Kumar, A.; Shekhar, S.) |
Abstract | This paper investigates a new approach for the personal recognition using rank level combination of multiple palmprint representations. There has been very little effort to study rank level fusion approaches for multi-biometrics combination and in particular for the palmprint identification. In this paper, we propose a new nonlinear rank level fusion approach and present a comparative study of rank level fusion approaches which can be useful in combining multi-biometrics fusion. The comparative experimental results from the real hand biometrics data to evaluate/ascertain the rank level combination using (i) Borda count, (ii) Logistic regression/Weighted Borda count, (iii) highest rank method and (iv) Bucklin Method are presented. Our experimental results presented in this paper suggest that significant performance improvement in the recognition accuracy can be achieved as compared to those from individual palmprint representations. The rigorous experimental results presented in this paper also suggest that the proposed nonlinear rank-level approach outperforms the existing approaches presented in the literature. |
Starting Page | 3121 |
Ending Page | 3124 |
File Size | 571837 |
Page Count | 4 |
File Format | |
ISBN | 9781424479924 |
ISSN | 15224880 |
e-ISBN | 9781424479948 |
e-ISBN | 9781424479931 |
DOI | 10.1109/ICIP.2010.5653214 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-09-26 |
Publisher Place | Hong Kong |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Feature extraction Biometrics Authentication Training Gabor filters Image recognition Databases |
Content Type | Text |
Resource Type | Article |
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