Footprint-based personal recognition

Kazuki Nakajima, Yoshiki Mizukami, Kanya Tanaka, Toshiyo Tamura

Research output: Contribution to journalArticlepeer-review

127 Scopus citations

Abstract

This paper proposes a new method of personal recognition based on footprints. In this method, an input pair of raw footprints is normalize, both in direction and in position for robustness image-matching between the input pair of footprints and the pair of registered footprints. In addition to the Euclidean distance between them, the geometric information of the input footprint is used prior to the normalization, i.e., directional and positional information. In the experiment, the pressure distribution of the footprint was measured with a pressure-sensing mat. Ten volunteers contributed footprints for testing the proposed method. The recognition rate was 30.45% without any normalization (i.e., raw image), and 85.00% with out method.

Original languageEnglish
Pages (from-to)1534-1537
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Volume47
Issue number11
DOIs
StatePublished - 2000/11

Keywords

  • Biometrics
  • Footprint
  • Normalization
  • Personal recognition
  • Pressure distribution

ASJC Scopus subject areas

  • Biomedical Engineering

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