Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25666
Title: An online system of multispectral palmprint verification
Authors: Zhang, D 
Guo, Z
Lu, G
Zhang, L 
Zuo, W
Keywords: Biometrics
Multispectral
Orientation code
Palmprint verification
Score level fusion
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on instrumentation and measurement, 2010, v. 59, no. 2, 5288585, p. 480-490 How to cite?
Journal: IEEE transactions on instrumentation and measurement 
Abstract: Palmprint is a unique and reliable biometric characteristic with high usability. With the increasing demand of highly accurate and robust palmprint authentication system, multispectral imaging has been employed to acquire more discriminative information and increase the antispoof capability of palmprint. This paper presents an online multispectral palmprint system that could meet the requirement of real-time application. A data acquisition device is designed to capture the palmprint images under Blue, Green, Red, and near-infrared (NIR) illuminations in less than 1 s. A large multispectral palmprint database is then established to investigate the recognition performance of each spectral band. Our experimental results show that the Red channel achieves the best result, whereas the Blue and Green channels have comparable performance but are slightly inferior to the NIR channel. After analyzing the extracted features from different bands, we propose a score level fusion scheme to integrate the multispectral information. The palmprint verification experiments demonstrated the superiority of multispectral fusion to each single spectrum, which results in both higher verification accuracy and antispoofing capability.
URI: http://hdl.handle.net/10397/25666
ISSN: 0018-9456
EISSN: 1557-9662
DOI: 10.1109/TIM.2009.2028772
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