Band selection for improvement of dorsal hand recognition

Kai Chen; Dapeng Zhang

doi:10.1109/ICHB.2011.6094333

Band selection for improvement of dorsal hand recognition

Kai Chen, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

12 Citations (Scopus)

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.

Original language	English
Title of host publication	2011 International Conference on Hand-Based Biometrics, ICHB 2011 - Proceedings
Pages	264-267
Number of pages	4
DOIs	https://doi.org/10.1109/ICHB.2011.6094333
Publication status	Published - 1 Dec 2011
Event	1st International Conference on Hand-basedBiometrics, ICHB 2011 - Hong Kong, Hong Kong Duration: 17 Nov 2011 → 18 Nov 2011

Conference

Conference	1st International Conference on Hand-basedBiometrics, ICHB 2011
Country/Territory	Hong Kong
City	Hong Kong
Period	17/11/11 → 18/11/11

Keywords

Band selection
Dorsal hand recognition
Finite Radon transform
Multispectral image

ASJC Scopus subject areas

Biotechnology

More information

10.1109/ICHB.2011.6094333

Cite this

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title = "Band selection for improvement of dorsal hand recognition",

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.",

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AB - 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.

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KW - Dorsal hand recognition

KW - Finite Radon transform

KW - Multispectral image

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DO - 10.1109/ICHB.2011.6094333

M3 - Conference article published in proceeding or book

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EP - 267

BT - 2011 International Conference on Hand-Based Biometrics, ICHB 2011 - Proceedings

T2 - 1st International Conference on Hand-basedBiometrics, ICHB 2011

Y2 - 17 November 2011 through 18 November 2011

ER -

Band selection for improvement of dorsal hand recognition

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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