Graph Based Structure Binary Pattern for Face Analysis

Abstract This work presents novel LBP variant so-called Graph Based Structure Binary Pattern (GBSBP) in different challenges. By considering 3×5 & 5×3 pixel windows, 4 graphs are created & each graph structure is injected with 3 different edges (→, ↔ and ―) which corresponds to single edge (any one) from one pixel position to another pixel position. Each injected edge specifies different measures & produces different values by utilizing 2 pixels. From both the windows 8 & 6 values are produced after applying different edge measures for each pixel position. By using these values 4 transformed images are produced. Then extracted histograms (from images transformed) are integrated to make the GBSBP feature size. Further enhancement in accuracy is achieved when GBSBP features are incorporated with LPQ features.

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