Face Recognition Using Gabor Wavelet, LBP and its Variants

This paper comprises with different methods of facial feature extraction of Face Recognition using Gabor, Local Binary Pattern and its fusion. In addition, Principle Component Analysis (PCA) is applied for dimension reduction. For similarity measurement, Euclidean, Cityblock, and Cosine distance metrics are used. Results are taken with different databases having major/minor variations in pose, illumination and expression.