Comparative Analysis of various Illumination Normalization Techniques for Face Recognition
Tripti Goel, Vijay Nehra, Virendra Prasad Vishwakarma · International Journal of Computer Applications · 2011
The change in facial appearance due to illumination variation degrades face recognition systems performance considerably.In this paper, various states of art illumination normalization techniques have been explained and compared.The classification of the image recognition has been done using artificial neural networks (ANN).We have compared four illumination normalization methods which are (1) discrete cosine transform (DCT) with rescaling of low frequency coefficients (2) discrete cosine transform (DCT) with discarding of low frequency coefficients (3) homomorphic filtering (HF) (4) gamma intensity correction (GIC).These methods are evaluated and compared on Yale and Yale B Faces databases.