University of Notre Dame
Browse
- No file added yet -

Exploiting Finger Surface as a Biometric Identifier

Download (988.64 kB)
thesis
posted on 2004-12-14, 00:00 authored by Damon Lamar Woodard
Biometrics, the discipline of establishing an individual's identity based upon physical or behavioral characteristics, has become a majorresearch area due to the numerous applications for reliable personal identification. The performance of a biometric system is highly dependent on the chosen biometric identifier. A novel approach for personal identification which utilizes 3D finger surface features as a biometric identifier is presented. Using 3D range images of the hand, a surface representation for the index, middle, and ring finger is calculated andused for comparison to determine subject similarity. The curvature based shape index is used to represent the finger surfaces. A large unique database of hand images supports the research. Data sets obtained over time are used to examine the performance of each individual finger surface as a biometric identifier as well as the recognition performance obtained when combining them. The probe and gallery sets sizes are varied to determine their affect on overall system performance. Performance results for both authentication and identification tasks arepresented, which suggest that 3D finger surface is a viable choice as a biometric identifier.

History

Date Created

2004-12-14

Date Modified

2018-10-29

Defense Date

2004-09-14

Research Director(s)

Patrick J. Flynn

Committee Members

Kevin W. Bowyer Robert L. Stevenson Gregory Madey

Degree

  • Doctor of Philosophy

Degree Level

  • Doctoral Dissertation

Language

  • English

Alternate Identifier

etd-12142004-175627

Publisher

University of Notre Dame

Program Name

  • Computer Science and Engineering

Usage metrics

    Dissertations

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC