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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(More)
In this paper, we introduce a novel concept of illumination normal-ization for robust face recognition under different illumination conditions. The concept is extended from the Self Quotient Image (SQI) by which the 2D Gabor filter is applied instead of weighted Gaussian filter in order to increase more efficiency of the face recognition. Our experimental(More)
In this paper, we introduce an illumination normalization approach within frequency domain by utilizing Discrete Wavelet Transform (DWT) as a transformation function in order to suppress illumination variations and simultaneously amplify facial feature such as eyeball, eyebrow, nose, and mouth. The basic ideas are: 1) transform a face image from spatial(More)
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