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Theoretical investigation on post-processed LDA for face and palmprint recognition

  • School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

Recently, a class of post-processing approaches has been proposed to improve the recognition performance of LDA in face recognition. In-depth analysis, however, has not been presented to reveal the effectiveness of the post-processing approach. In this paper, we investigate the rationale of the post-processing approach, and demonstrate the interrelationship of the post-processing approach and the image Euclidean distance method (IMED). We then use the FERET face and the PolyU palmprint databases to evaluate the post-processed LDA method. Experimental results indicate the effectiveness of the post-processing approach and reveal its relation to IMED.

Original languageEnglish
Title of host publicationProceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007
Pages301-305
Number of pages5
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 International Conference on Computational Intelligence and Security, CIS'07 - Harbin, Heilongjiang, China
Duration: 15 Dec 200719 Dec 2007

Publication series

NameProceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007

Conference

Conference2007 International Conference on Computational Intelligence and Security, CIS'07
Country/TerritoryChina
CityHarbin, Heilongjiang
Period15/12/0719/12/07

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