Band selection for improvement of dorsal hand recognition

Kai Chen, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 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 languageEnglish
Title of host publication2011 International Conference on Hand-Based Biometrics, ICHB 2011 - Proceedings
Pages264-267
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2011
Event1st International Conference on Hand-basedBiometrics, ICHB 2011 - Hong Kong, Hong Kong
Duration: 17 Nov 201118 Nov 2011

Conference

Conference1st International Conference on Hand-basedBiometrics, ICHB 2011
Country/TerritoryHong Kong
CityHong Kong
Period17/11/1118/11/11

Keywords

  • Band selection
  • Dorsal hand recognition
  • Finite Radon transform
  • Multispectral image

ASJC Scopus subject areas

  • Biotechnology

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