Optimal weight selection in matching score fusion based Face Recognition

Quang Duc Tran, Panos Liatsis

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

1 Scopus citations

Abstract

Face recognition is an active subject in the fields of pattern recognition. There still exist research difficulties in its practical application in the term of performance accuracy. However, the above limitation can be overcome by combining the biometric information extracted from diverse facial features such as total face, eyes, nose, mouth, etc. In this paper we present a Face Recognition system in which a new Bees Algorithm based optimal weight searching method is used to find the optimal parameters to fuse the aforementioned information at matching score level. The proposed method tested on the ORL face database achieves 99% recognition rate, which is overall superior to those traditional FR approaches such as the Eigenfaces, Fisherfaces, D-LDA, IFS methods.

Original languageBritish English
Title of host publication2011 18th International Conference on Systems, Signals and Image Processing, Proceedings IWSSIP 2011
Pages5-8
Number of pages4
StatePublished - 2011
Event2011 18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011 - Sarajevo, Bosnia and Herzegovina
Duration: 16 Jun 201118 Jun 2011

Publication series

NameInternational Conference on Systems, Signals, and Image Processing
ISSN (Print)2157-8672
ISSN (Electronic)2157-8702

Conference

Conference2011 18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011
Country/TerritoryBosnia and Herzegovina
CitySarajevo
Period16/06/1118/06/11

Keywords

  • Bees Algorithm
  • Face Recognition
  • Linear Discriminant Analysis
  • Multimodal Biometric System

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