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Table 10 EER results for non-twins using standard FERET subsets under expression, illumination and age variations

From: Recognition of identical twins using fusion of various facial feature extractors

   EER results (%) of
  Challenge Expression Illumination Aging Aging
  subset (fb) (fc) (duplicate I) (duplicate II)
Algorithms CNN 6.10 26.44 9.88 13.54
  PCA 11.4 34.3 23.2 30.7
  HOG 9.5 31.9 13 14
  LBP 3.43 24.9 11.15 12
  Score fusion (PCA, HOG, LBP) 6.2 22.7 12.6 14.67
  Score fusion (HOG, LBP) 5.9 24.2 10.25 10.7
  Feature fusion (PCA, HOG, LBP) 8.7 28.1 11.15 14
  Feature fusion (HOG, LBP) 3.9 24.5 10.75 12
  Decision fusion (PCA, HOG, LBP) 2.9 21.8 8.15 8.7
  Proposed method 2.5 20.6 7.5 8
  1. The italicized data reflect the highest equal error rates of each experiments