Multibiometrics based on palmprint and handgeometry

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings - Fourth Annual ACIS International Conference on Computer and Information Science, ICIS 2005
Pages495-500
Volume2005
Publication statusPublished - 2005

Publication series

Name
Volume2005

Conference

Title4th Annual ACIS International Conference on Computer and Information Science, ICIS 2005
PlaceKorea, Republic of
CityJeju Island
Period14 July 2005 - 16 July 2006

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.

Citation Format(s)

Multibiometrics based on palmprint and handgeometry. / Wei, Xiao-Yong; Xu, Dan; Ngo, Chong-Wah.

Proceedings - Fourth Annual ACIS International Conference on Computer and Information Science, ICIS 2005. Vol. 2005 2005. p. 495-500 1515453.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review