Personal authentication using hand vein triangulation

Ajay Kumar Pathak, K. Venkata Prathyusha

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

17 Citations (Scopus)

Abstract

This paper presents a new approach to authenticate individuals using triangulation of hand vein images. The proposed method is fully automated and employs palm dorsal hand vein images acquired from the low-cost, near infrared, contactless imaging. The knuckle tips are used as key points for image normalization and the extraction of region of interest. The matching scores are generated in two parallel stages; (i) hierarchical matching score from the four topologies of triangulation in binarized vein structures and (ii) from the geometrical features consisting of knuckle point perimeter distances in the acquired images. The weighted score level combination from these two matching scores are used to authenticate the individuals. The achieved experimental results from the proposed system using contactless, palm dorsal hand vein images are promising and suggest more user friendly alternative for user identification.
Original languageEnglish
Title of host publicationBiometric Technology for Human Identification V
Volume6944
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes
EventBiometric Technology for Human Identification V - Orlando, FL, United States
Duration: 18 Mar 200819 Mar 2008

Conference

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

Keywords

  • Hand vein authentication
  • Knuckle biometrics
  • Palm dorsal vein 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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