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Gradient based textural characterization of fingerprints

  • University of Maryland, College Park
  • IBM

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Though a lot of research has been done to match fingerprints, most existing approaches rely on locations of minutiae features for matching tasks. Relatively, little effort has gone into utilizing textural information present in fingerprints as distinguishing characteristic. In this paper, we propose a novel gradient-based approach to characterize textural information in fingerprints for the task of biometric matching. In particular, the proposed approach uses histograms of oriented gradients (HOGs) to represent minutiae neighborhoods. The minutiae neighborhoods are divided into several regions to make the computed histograms distinguishing and robust at the same time. Experimental results are provided to show the efficacy of the proposed characterization.

Original languageEnglish
Title of host publicationBTAS 2008 - IEEE 2nd International Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems
DOIs
StatePublished - 2008
EventBTAS 2008 - IEEE 2nd International Conference on Biometrics: Theory, Applications and Systems - Arlington, VA, United States
Duration: Sep 29 2008Oct 1 2008

Publication series

NameBTAS 2008 - IEEE 2nd International Conference on Biometrics: Theory, Applications and Systems

Conference

ConferenceBTAS 2008 - IEEE 2nd International Conference on Biometrics: Theory, Applications and Systems
Country/TerritoryUnited States
CityArlington, VA
Period09/29/0810/1/08

Keywords

  • Biometric matching
  • Fingerprint matching
  • Histogram of oriented gradients
  • Textural characterization

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