Multispectral palmprint recognition using wavelet-based image fusion

Dong Han, Zhenhua Guo, Dapeng Zhang

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

63 Citations (Scopus)

Abstract

Palmprint is widely used in personal identification for an accurate and robust recognition. To improve the existing palmprint systems, the proposed system, which is the first on-line multispectral palmprint recognition system ever designed before, uses multispectral capture device to sense images under different illumination, including Red, Green, Blue and Infrared. We adopt Competitive Coding Scheme as matching algorithm, which performs well in on-line palmprint recognition. Wavelet-based image fusion method is used as data-level fusion strategy in our scheme. Fused verifications show better effort on motion blurred source images than single channel. Experimental results of fusion images are also useful references for future work on multispectral palmprint recognition.
Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages2074-2077
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2008
Event2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China
Duration: 26 Oct 200829 Oct 2008

Conference

Conference2008 9th International Conference on Signal Processing, ICSP 2008
Country/TerritoryChina
CityBeijing
Period26/10/0829/10/08

Keywords

  • Image fusion
  • Motion blurring
  • Multispectral biometrics
  • Palmprint recognition
  • Wavelet transform

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Science Applications

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