Face Recognition with Local Line Binary Pattern

In this paper, we introduce a novel face representation method for face recognition, called Local Line Binary Pattern (LLBP), which is motivated from Local Binary Pattern (LBP) due to it summarizes the local spacial structure of an image by thresholding the local window with binary weight and introduce the decimal number as a texture presentation. Moreover it consumes less computational cost. The basic idea of LLBP is to first obtain the Line binary code along with horizontal and vertical direction separately and its magnitude, which characterizes the change in image intensity such as edges and corners, is then computed. Our experimental result is evaluated on the public Yale face database B as well as its Extended version and FERET database by using Linear Discriminant Analysis (LDA) as classification. The comparative results have shown that the LLBP is more discriminative and insensitive to illumination variation and facial expression than other methods.