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Face Recognition Using Correlation Between Illuminant Context

  • Mi Young Nam
  • Battulga Bayarsaikhan
  • Phill Kyu Rhee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)

Abstract

In this paper investigate how to aggregation method from face recognition varying environments. Face Images clustering is enhanced face recognition performance. Face image is clustered several cluster unsupervised or statistical method and we recognize using correlation between clusters. In this paper we adopted recognition algorithm by aggregation method. In this paper we present the recognition system using the table of fitness correlations between clusters for combining the results from the individual clusters. By training the different classifiers with different clusters of training data and adopting fusion method considering fitness correlation between clusters we found out better recognition performance than combining classifiers fed with same data.

Keywords

Face Recognition Recognition Rate Face Image Fitness Correlation Fuzzy ARTMAP 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mi Young Nam
    • 1
  • Battulga Bayarsaikhan
    • 1
  • Phill Kyu Rhee
    • 1
  1. 1.Dept. of Computer Science & EngineeringInha University 253IncheonKorea

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