IJSEA Archive (Volume 2, Issue 4)
International Journal of Science and Engineering Applications (IJSEA) (Volume 2, Issue 4 - April 2013)
Facial Feature Extraction Based on Local Color and Texture for Face Recognition using Neural Network
Keywords: Color face image identification, Gabor Transform, LBP, DWT, GRNN.
For the purpose of face recognition (FR), the new color local texture features, i.e.,
color local Gabor wavelets (CLGWs) and color local binary pattern (CLBP), are being proposed. The
proposed color local texture features are able to exploit the discriminative information derived
from spatiochromatic texture patterns of different spectral channels within a certain local face
region. Furthermore, in order to maximize a complementary effect taken by using color and texture
information, the opponent color texture features that capture the texture patterns of spatial
interactions between spectral channels are also incorporated into the generation of CLGW and CLBP.
In addition, to perform the final classification, multiple color local texture features (each
corresponding to the associated color band) are combined within a feature-level fusion framework
using Neural Network. Particularly, compared with gray scale texture features, the proposed color
local texture features are able to provide excellent recognition rates for face images taken under
severe variation in illumination, as well as some variations in face images.
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@article{cynthia02041005,
title = "Facial Feature Extraction Based on Local Color and Texture for Face Recognition using Neural Network ",
journal = "International Journal of Science and Engineering Applications (IJSEA)",
volume = "2",
number = "3",
pages = "78 - 82 ",
year = "2013",
author = "S.Cynthia Christabel, M.Annalakshmi, Mr.D.Prince Winston ",
}