Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner

Nicholas J. Napoli, Laura E. Barnes, Kamal Premaratne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The problem of selecting a template that matches a given candidate signal is applicable across a wide variety of domains. Using the correlation coefficient as the avenue for selecting the winning template is perhaps the most common technique. The challenge lies in selecting the winning template when there is no clear separation between the correlation coefficient values of the winning template and the others. In this paper, we present a simple Dempster-Shafer (DS) theoretic model that enables one to capture the uncertainty regarding the winner selection in correlation coefficient based template matching. The DS theoretic framework provides an avenue to develop the model with few resources and little to no prior knowledge. We validate the model using several numerical examples and a numerical character recognition application where the evidence provided by several sets of templates are combined using a DS theoretic fusion strategy to arrive at a better decision.

Original languageEnglish (US)
Title of host publication2015 18th International Conference on Information Fusion, Fusion 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages311-318
Number of pages8
ISBN (Print)9780982443866
StatePublished - Sep 14 2015
Event18th International Conference on Information Fusion, Fusion 2015 - Washington, United States
Duration: Jul 6 2015Jul 9 2015

Other

Other18th International Conference on Information Fusion, Fusion 2015
CountryUnited States
CityWashington
Period7/6/157/9/15

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Computer Networks and Communications

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    Napoli, N. J., Barnes, L. E., & Premaratne, K. (2015). Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner. In 2015 18th International Conference on Information Fusion, Fusion 2015 (pp. 311-318). [7266577] Institute of Electrical and Electronics Engineers Inc..