Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction
| Autor: | Chollette C. Chude-Olisah, Ghazali Sulong, Siti Zaiton Mohd Hashim, Uche A. K. Chude-Okonkwo |
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| Rok vydání: | 2013 |
| Předmět: |
Logarithm
Color normalization business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Normalization (image processing) Illumination problem Facial recognition system Gamma correction RGB color model Computer vision Artificial intelligence business Histogram equalization |
| Zdroj: | ICSIPA |
| DOI: | 10.1109/icsipa.2013.6708042 |
| Popis: | In this paper, an illumination normalization technique for edge-based face recognition on face images with non-uniform illumination conditions, is proposed. The proposed illumination normalization technique fuses the merits of color (Red, Green and Blue) normalization (Nrgb) and gamma correction (GC) for color images. By the fusion of these methods the image becomes independent of the change in face images due to illumination direction. In that way, the presence of false edges in gradient faces is reduced. Experimental results on Georgia Tech Face database with illumination problem shows that the proposed technique improved significantly recognition accuracy in comparison to histogram equalization (HE), logarithm transform (LT) and gamma correction (GC). |
| Databáze: | OpenAIRE |
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