Title
A robust multispectral palmprint matching algorithm and its evaluation for FPGA applications.
Abstract
Multispectral image modalities can offer high accuracy performance to the biometric systems by improving the discrimination along the spectral dimension. However, its adoptions are usually challenged by low signal to noise ratio, inter band misalignment, high data volume and computational efficiency. This paper presents a fast multispectral palmprint biometric technique using partial least square regression model and score-level fusion, with which an embedded recognition and verification system is implemented for evaluation. Our experiments are conducted using the PolyU palmprint database, and the results demonstrate that the proposed method can achieve a higher accuracy and a lower running cost compared to the reference implementations dedicated to the real-time and/or embedded applications.
Year
DOI
Venue
2018
10.1016/j.sysarc.2018.05.008
Journal of Systems Architecture
Keywords
Field
DocType
Multispectral biometric authentication,Real-time image processing,Partial least square regression,Embedded system,High-level synthesis
Pattern recognition,Computer science,Partial least squares regression,Multispectral image,Signal-to-noise ratio,Field-programmable gate array,Embedded applications,Real-time computing,Artificial intelligence,Biometrics,Blossom algorithm,Verification system
Journal
Volume
ISSN
Citations 
88
1383-7621
0
PageRank 
References 
Authors
0.34
26
5
Name
Order
Citations
PageRank
Chao Li1183.98
Yannick Benezeth239926.11
Keisuke Nakamura318928.91
Randy Gomez47628.11
Fan Yang5115.91