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PCA-based multispectral band compression and multispectral palmprint recognition

  • Yong Xu*
  • , Qi Zhu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a PCA-based spectral band compression and multispectral palmprint recognition method. This method first exploits PCA to compress original multispectral bands to a smaller number of 'bands' and then uses the compressed bands to classify palmprint images. The experimental results show that our proposed PCA-based spectral band compression and recognition method can use very low-dimensional data to represent the original multispectral palmprint images and obtain a high classification accuracy.

Original languageEnglish
Title of host publication2011 International Conference on Hand-Based Biometrics, ICHB 2011 - Proceedings
Pages90-93
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event1st International Conference on Hand-basedBiometrics, ICHB 2011 - Hong Kong, China
Duration: 17 Nov 201118 Nov 2011

Publication series

Name2011 International Conference on Hand-Based Biometrics, ICHB 2011 - Proceedings

Conference

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

Keywords

  • Multispectral palmprint images
  • Pattern recognition

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