Personal authentication using finger knuckle surface

Ajay Kumar Pathak, Ch Ravikanth

Research output: Journal article publicationJournal articleAcademic researchpeer-review

179 Citations (Scopus)

Abstract

This paper investigates a new approach for personal authentication using fingerback surface imaging. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. The finger geometry features can be simultaneously acquired from the same image at the same time and integrated to further improve the user-identification accuracy of such a system. The fingerback surface images from each user are normalized to minimize the scale, translation, and rotational variations in the knuckle images. This paper details the development of such an approach using peg-free imaging. The experimental results from the proposed approach are promising and confirm the usefulness of such an approach for personal authentication.
Original languageEnglish
Article number4781895
Pages (from-to)98-110
Number of pages13
JournalIEEE Transactions on Information Forensics and Security
Volume4
Issue number1
DOIs
Publication statusPublished - 1 Mar 2009
Externally publishedYes

Keywords

  • Finger geometry
  • Finger knuckle
  • Hand biometric
  • Knuckleprint

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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