Date of Publication :7th May 2016
Abstract: Object recognition is very important process in computer vision. Texture and edge information is mainly used for object recognition. Local Binary Pattern (LBP) and Local Ternary Pattern (LTP) are mainly used for object recognition. But these two techniques suffer from noise and intra-class variations due to small pixel fluctuations. To solve this problem a new algorithm called Robust Local Binary Pattern (RLBP) and Discriminative Robust Local Binary Pattern (DRLBP) are used for object recognition. Comparative analysis is done between RLBP and DRLBP using Caltech 101 dataset.
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