A multimodal biometric authentication system based on 2D and 3D palmprint features

Vivek K. Aggithaya, Dapeng Zhang, Nan Luo

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

7 Citations (Scopus)

Abstract

This paper presents a new personal authentication system that simultaneously exploits 2D and 3D palmprint features. Here, we aim to improve the accuracy and robustness of existing palmprint authentication systems using 3D palmprint features. The proposed system uses an active stereo technique, structured light, to capture 3D image or range data of the palm and a registered intensity image simultaneously. The surface curvature based method is employed to extract features from 3D palmprint and Gabor feature based competitive coding scheme is used for 2D representation. We individually analyze these representations and attempt to combine them with score level fusion technique. Our experiments on a database of 108 subjects achieve significant improvement in performance (Equal Error Rate) with the integration of 3D features as compared to the case when 2D palmprint features alone are employed.
Original languageEnglish
Title of host publicationBiometric Technology for Human Identification V
Volume6944
DOIs
Publication statusPublished - 1 Dec 2008
EventBiometric Technology for Human Identification V - Orlando, FL, United States
Duration: 18 Mar 200819 Mar 2008

Conference

ConferenceBiometric Technology for Human Identification V
CountryUnited States
CityOrlando, FL
Period18/03/0819/03/08

Keywords

  • 2D palmprint
  • 3D palmprint
  • Biometrics

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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