A Fuzzy Interval Valued Fusion Technique for Multi- Modal 3D Face Recognition

Soodamani Ramalingam, Uma Maheswari Mariappan

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

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Abstract

This paper proposes a fuzzy interval valued multicriteria decision making (MCDM) technique that aggregates information from multi-modal feature sets during decision making in a 3D face recognition system. In this paper, an interval
valued fuzzy TOPSIS technique is applied to a 3D face recognition system that is benchmarked against a set of databases. Such a system is shown to be useful in decision making when the choice of alternatives of the feature sets is
combinatorial and complex.
Original languageEnglish
Title of host publication2016 IEEE International Carnahan Conference on Security Technology
Place of PublicationUS
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Electronic)978-1-5090-1072-1
ISBN (Print)978-1-5090-1073-8
DOIs
Publication statusPublished - 16 Jan 2017
EventIEEE International Carnahan Conference on Security Technology - US, Orlando, Florida, United States
Duration: 24 Oct 201627 Oct 2016

Conference

ConferenceIEEE International Carnahan Conference on Security Technology
Country/TerritoryUnited States
CityOrlando, Florida
Period24/10/1627/10/16

Keywords

  • disparity maps
  • fuzzy interval MCDM
  • TOPSIS
  • 3d FACE RECOGNITION
  • range data

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