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EURASIP Journal on Advances in Signal Processing

Table 1 Recognition performance comparisons of the proposed EGM-based face recognition method on Georgia Tech face database

From: Face recognition via edge-based Gabor feature representation for plastic surgery-altered images

Methods

Rank-1 (%)

Equal error rate

EGM without normalization

94

2.12

EGM-HE

92

1.8

EGM-GC

92

2.0

EGM-LT

94

2.0

EGM-rgbGE

98

0.34

  1. The EGM-rgbGE is compared with different illumination normalization methods. HE, histogram equalization; GC, gamma correction; LT, logarithm transform; rgbGE, proposed normalization technique.
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