Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13195
Title: Band selection for improvement of dorsal hand recognition
Authors: Chen, K
Zhang, D 
Keywords: Band selection
Dorsal hand recognition
Finite Radon transform
Multispectral image
Issue Date: 2011
Source: 2011 International Conference on Hand-Based Biometrics, ICHB 2011 - Proceedings, 2011, p. 264-267 How to cite?
Abstract: In order to study the relationship between recognition performance of dorsal hand and spectra including visible and near-infrared light, a multispectral image capture system is established in this study, and it works well on the spectra with the wavelength from 520nm to 1040nm. The optimal band is considered to have the most effective features for recognition. Line feature extraction method is adopted regardless of the texture types. EER are calculated to reflect the differentiating ability across all bands after matching process. The spectrum of 880nm is testified to have the best performance of verification.
Description: 1st International Conference on Hand-basedBiometrics, ICHB 2011, Hong Kong, 17-18 November 2011
URI: http://hdl.handle.net/10397/13195
ISBN: 9781457704901
DOI: 10.1109/ICHB.2011.6094333
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