Personal authentication using hand vein triangulation and knuckle shape

Ajay Kumar Pathak, K. Venkata Prathyusha

Research output: Journal article publicationJournal articleAcademic researchpeer-review

245 Citations (Scopus)

Abstract

This paper presents a new approach to authenticate individuals using triangulation of hand vein images and simultaneous extraction of knuckle shape information. 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 the image normalization and 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 the 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 (equal error rate of 1.14%) and suggest more user friendly alternative for user identification.
Original languageEnglish
Pages (from-to)2127-2136
Number of pages10
JournalIEEE Transactions on Image Processing
Volume18
Issue number9
DOIs
Publication statusPublished - 3 Sep 2009
Externally publishedYes

Keywords

  • Contact free hand recognition
  • Hand shape
  • Hand vein
  • Palm dorsal vein
  • Vascular biometrics

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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