NDLI: Combining feature level and matching score level fusion strategies for multi-biometrics

Content Provider	IEEE Xplore Digital Library
Author	Ningbo Zhu Fu Yu Qinglong Tian
Copyright Year	2011
Description	Author affiliation: Hunan University, School of Computer and Communication, Changsha, China (Ningbo Zhu; Fu Yu; Qinglong Tian)
Abstract	Multi-biometrics makes a big progress for the subject of biometrics. Multi-biometrics usually obtains a higher accuracy and reliability than single biometrics. Multi-biometrics depends on a fusion strategy to achieve this. The feature level and matching score level fusion seem to be two widely used and very effective fusion strategies. In this paper, we propose to combine a feature level and matching score level fusion strategies to perform personal authentication. The feature level fusion strategy fuses two biometric traits by using a PCA-based algorithm and the matching score level fusion strategy integrates the results for ultimate personal authentication. The experimental results on a multi-spectral palmprint image database show that the proposed method is feasible and effective.
Starting Page	3930
Ending Page	3933
File Size	426335
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5965178
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Computers PCA-based algorithm Face recognition Authentication Decision level Feature extraction Educational institutions Matching score level Multi-spectral Feature level Multi-biometrics
Content Type	Text
Resource Type	Article

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