Multibiometrics based on palmprint and handgeometry

Xiao-Yong Wei, Dan Xu, Chong-Wah Ngo

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

10 Citations (Scopus)

Abstract

This paper described our approach of multibiometrics in a single image. Firstly, a new method for capturing the key points of hand geometry is proposed. Then, we described our new method of palmprint feature extracting. By using projection transform and wavelet transform, this method considered both the global feature and local detail of a palmprint texture and proposed a new kind of palmprint feature. We also proposed a twice segmentation method for handgeometry feature extraction. In the processing of feature matching, we analyzed the weakness of the traditional Euclidian Square Norm method, and introduced an improved method. The experimental results demonstrated the effectiveness and accuracy of these proposed method. © 2005 IEEE.
Original languageEnglish
Title of host publicationProceedings - Fourth Annual ACIS International Conference on Computer and Information Science, ICIS 2005
Pages495-500
Volume2005
Publication statusPublished - 2005
Event4th Annual ACIS International Conference on Computer and Information Science, ICIS 2005 - Jeju Island, Korea, Republic of
Duration: 14 Jul 200516 Jul 2006

Publication series

Name
Volume2005

Conference

Conference4th Annual ACIS International Conference on Computer and Information Science, ICIS 2005
Country/TerritoryKorea, Republic of
CityJeju Island
Period14/07/0516/07/06

Fingerprint

Dive into the research topics of 'Multibiometrics based on palmprint and handgeometry'. Together they form a unique fingerprint.

Cite this