University of Hertfordshire

By the same authors

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

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

Documents

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Original languageEnglish
Title of host publication2016 IEEE International Carnahan Conference on Security Technology
Place of PublicationUS
PublisherIEEE
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
CountryUnited States
CityOrlando, Florida
Period24/10/1627/10/16

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.

Notes

Soodamani, R & Vimal, V (2016), Vehicle Detection for Traffic Flow Analysis, ICCST2016, Paper presented at the IEEE International Carnahan Conference on Security Technology, 24-27 October 2016, Orlando, Florida. This is the Accepted Manuscript version. The Version of Record is available online at IEEE Explore, doi: https://doi.org/10.1109/CCST.2016.7815709.

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