This paper presents the selective block local binary pattern algorithm for human face recognition. Various LBP methods were used to improve the recognition rates. The most important step in face recognition is the feature extraction. Tolerance to illumination variation and computational simplicity is made LBP a very popular method for pattern recognition system. Traditional LBP method is compared with the selective blocks LBP methods by conducting the experiments using ORL and UMIST datasets.

Local Binary Pattern, Selective Block, Pattern Recognition, Feature Extraction, Histogram, Face Recognition

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